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Ivan V. Savin

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Mundt, Philipp & Savin, Ivan, 2022. "Drivers of productivity change in global value chains: Reallocation vs. innovation," BERG Working Paper Series 179, Bamberg University, Bamberg Economic Research Group.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Philipp Mundt & Ivan Savin & Uwe Cantner & Hiroyasu Inoue & Simone Vannuccini, 2023. "Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(6), pages 1267-1285.

  2. Mundt, Philipp & Cantner, Uwe & Inoue, Hiroyasu & Savin, Ivan & Vannuccini, Simone, 2021. "Market selection in global value chains," BERG Working Paper Series 170, Bamberg University, Bamberg Economic Research Group.

    Cited by:

    1. Sahm, Marco, 2022. "Optimal accuracy of unbiased Tullock contests with two heterogeneous players," BERG Working Paper Series 175, Bamberg University, Bamberg Economic Research Group.
    2. Savin, I., 2020. "Studying market selection in Russia and abroad: Measurement problems, national specificity and stimulating methods," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 197-204.
    3. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.

  3. Ott, Ingrid & Savin, Ivan & Konop, Chris, 2021. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Kiel Working Papers 2180, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    2. Bongini, Paola & Osborne, Francesco & Pedrazzoli, Alessia & Rossolini, Monica, 2022. "A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Latifi, Albina & Winker, Peter & Lenz, David, 2024. "Identification of innovation drivers based on technology-related news articles," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302371, Verein für Socialpolitik / German Economic Association.
    4. Deng, Shichang & Zhang, Jingjing & Lin, Zhengnan & Li, Xiangqian, 2024. "Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    5. Ghaffari, Mohsen & Aliahmadi, Alireza & Khalkhali, Abolfazl & Zakery, Amir & Daim, Tugrul U. & Yalcin, Haydar, 2023. "Topic-based technology mapping using patent data analysis: A case study of vehicle tires," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    6. Frank, Darius-Aurel & Otterbring, Tobias, 2023. "Being seen… by human or machine? Acknowledgment effects on customer responses differ between human and robotic service workers," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

  4. Johannes Karl Herrmann & Ivan Savin, 2016. "Optimal Policy Identification: Insights from the German Electricity Market," Jena Economics Research Papers 2016-004, Friedrich-Schiller-University Jena.

    Cited by:

    1. Jindal, Abhinav & Shrimali, Gireesh, 2022. "At scale adoption of battery storage technology in Indian power industry: Enablers, frameworks and policies," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
    3. Julia Kurek & Justyna Martyniuk-Pęczek, 2020. "Looking for the Optimal Location of an Eco-District within a Metropolitan Area: The Case of Tricity Metropolitan Area," Sustainability, MDPI, vol. 12(19), pages 1-22, September.
    4. Tolliver, Clarence & Keeley, Alexander Ryota & Managi, Shunsuke, 2020. "Policy targets behind green bonds for renewable energy: Do climate commitments matter?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Tian, Jianchi & Li, Yang & Sun, Yan & Yang, Bo & Chen, Xuefeng, 2024. "Warming climate apathy to mitigate the disparity in climate policy support across distinct income strata," Energy Policy, Elsevier, vol. 192(C).
    6. Jeroen den Bergh & Ivan Savin, 2021. "Impact of Carbon Pricing on Low-Carbon Innovation and Deep Decarbonisation: Controversies and Path Forward," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 705-715, December.
    7. Martin Kalthaus & Jiatang Sun, 2021. "Determinants of Electric Vehicle Diffusion in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 473-510, November.
    8. Jean Chateau & Ms. Florence Jaumotte & Gregor Schwerhoff, 2022. "Climate Policy Options: A Comparison of Economic Performance," IMF Working Papers 2022/242, International Monetary Fund.
    9. Hoppmann, Joern & Wu, Geng & Johnson, Jillian, 2021. "The impact of demand-pull and technology-push policies on firms’ knowledge search," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    10. Nuñez-Jimenez, Alejandro & Knoeri, Christof & Hoppmann, Joern & Hoffmann, Volker H., 2022. "Beyond innovation and deployment: Modeling the impact of technology-push and demand-pull policies in Germany's solar policy mix," Research Policy, Elsevier, vol. 51(10).
    11. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    12. Chengquan Zhang & Xifeng Wu & Kun Qian & Sijia Zhao & Hatef Madani & Jin Chen & Yu Chen, 2024. "Environmental Awareness and Social Sustainability: Insights from an Agent-Based Model with Social Learning and Individual Heterogeneity," Sustainability, MDPI, vol. 16(17), pages 1-21, September.
    13. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).

  5. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2016. "Replicator dynamics in value chains: explaining some puzzles of market selection," Jena Economics Research Papers 2016-003, Friedrich-Schiller-University Jena.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    3. Grodzicki, Maciej J. & Skrzypek, Jurand, 2020. "Cost-competitiveness and structural change in value chains – vertically-integrated analysis of the European automotive sector," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 276-287.
    4. Eric Kemp-Benedict, 2022. "A classical-evolutionary model of technological change," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1303-1343, September.
    5. Mundt, Philipp & Savin, Ivan, 2022. "Drivers of productivity change in global value chains: Reallocation vs. innovation," BERG Working Paper Series 179, Bamberg University, Bamberg Economic Research Group.
    6. Uwe Cantner & Holger Graf & Ekaterina Prytkova & Simone Vannuccini, 2018. "The Compositional Nature of Productivity and Innovation Slowdown," Jena Economics Research Papers 2018-006, Friedrich-Schiller-University Jena.
    7. Uwe Cantner & Simone Vannuccini, 2017. "Innovation and lock-in," Chapters, in: Harald Bathelt & Patrick Cohendet & Sebastian Henn & Laurent Simon (ed.), The Elgar Companion to Innovation and Knowledge Creation, chapter 11, pages 165-181, Edward Elgar Publishing.
    8. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.
    9. Shungo Sakaki, 2019. "Equality in Income and Sustainability in Economic Growth: Agent-Based Simulations on OECD Data," Sustainability, MDPI, vol. 11(20), pages 1-32, October.
    10. Luca Fontanelli, 2023. "Theories of Market Selection: A Survey," GREDEG Working Papers 2023-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    11. Shungo Sakaki, 2017. "Income distribution management to sustain long-term economic growth: does the equalization of income distribution contribute to long-term economic growth?," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 363-395, December.
    12. Savin, I., 2020. "Studying market selection in Russia and abroad: Measurement problems, national specificity and stimulating methods," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 197-204.
    13. Shungo Sakaki, 2023. "The rationality of adaptive decision-making and the feasibility of optimal growth planning," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    14. Shungo Sakaki, 2018. "A method of building simulation model for organizational decision-making and inter-organizational control," Evolutionary and Institutional Economics Review, Springer, vol. 15(2), pages 289-313, December.
    15. Cantner, Uwe & Vannuccini, Simone, 2021. "Pervasive technologies and industrial linkages: Modeling acquired purposes," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 386-399.

  6. Vladimir Korzinov & Ivan Savin, 2016. "Pervasive Enough? General Purpose Technologies as an Emergent Property," Working Papers of BETA 2016-49, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    Cited by:

    1. Clifford Bekar & Kenneth Carlaw & Richard Lipsey, 2018. "General purpose technologies in theory, application and controversy: a review," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1005-1033, December.

  7. Ivan Savin & Abiodun Egbetokun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Post-Print hal-01725400, HAL.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
    3. Mattia Guerini & Philipp Harting & Mauro Napoletano, 2020. "Governance structure, technical change and industry competition," SciencePo Working papers Main halshs-03040281, HAL.
    4. Guiqiong Xu & Chen Dong & Lei Meng, 2022. "Research on the Collaborative Innovation Relationship of Artificial Intelligence Technology in Yangtze River Delta of China: A Complex Network Perspective," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    5. Xia Liu & Hanwen Sun & Wei Liu & Jiaqi Fang, 2023. "The Impact of Reverse Cross-Border Mergers and Acquisitions in Emerging Countries on the Division Position in the Global Value Chain: A Systematic Framework of the Third Country Effect," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    6. Johannes VAN DER POL, 2016. "Social interactions between innovating firms: an analytical review of the literature," Cahiers du GREThA (2007-2019) 2016-23, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    7. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economics Research Papers 2012-056, Friedrich-Schiller-University Jena.
    8. Matthias Aistleitner & Claudius Graebner & Anna Hornykewycz, 2020. "Theory and Empirics of Capability Accumulation: Implications for Macroeconomic Modelling," ICAE Working Papers 105, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    9. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2021. "It’s a Match! Simulating Compatibility-based Learning in a Network of Networks," Economic Complexity and Evolution, in: Michael P. Schlaile (ed.), Memetics and Evolutionary Economics, chapter 0, pages 99-140, Springer.
    10. Ivan Savin, 2021. "On optimal regimes of knowledge exchange: a model of recombinant growth and firm networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 497-527, July.
    11. Matthias Mueller & Kristina Bogner & Tobias Buchmann & Muhamed Kudic, 2017. "The effect of structural disparities on knowledge diffusion in networks: an agent-based simulation model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 613-634, October.
    12. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Working Papers CEB 13-022, ULB -- Universite Libre de Bruxelles.
    13. Wei Gao & Daojuan Wang, 2021. "Will Increasing Government Subsidies Promote Open Innovation? A Simulation Analysis of China’s Wind Power Industry," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    14. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    15. Mundt, Philipp & Cantner, Uwe & Inoue, Hiroyasu & Savin, Ivan & Vannuccini, Simone, 2021. "Market selection in global value chains," BERG Working Paper Series 170, Bamberg University, Bamberg Economic Research Group.
    16. Johannes van Der Pol, 2015. "Structural dynamics of the French aerospace sector: A network analysis," Working Papers hal-01284993, HAL.
    17. Tur, Elena M. & Azagra-Caro, Joaquín M., 2018. "The coevolution of endogenous knowledge networks and knowledge creation," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 424-434.
    18. Lorenzo Zirulia, 2023. "Path dependence in evolving R&D networks," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 149-177, January.
    19. Yun, JinHyo Joseph & Ahn, Heung Ju & Lee, Doo Seok & Park, Kyung Bae & Zhao, Xiaofei, 2022. "Inter-rationality; Modeling of bounded rationality in open innovation dynamics," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. Claudius Graebner & Anna Hornykewycz, 2020. "Capability accumulation and product innovation: an agent-based perspective," ICAE Working Papers 108, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    21. Bogner, Kristina, 2019. "Knowledge networks in the German bioeconomy: Network structure of publicly funded R&D networks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    22. Wu, Haizhen & Han, Zhao'an & Zhou, Yong, 2021. "Optimal degree of openness in open innovation: A perspective from knowledge acquisition & knowledge leakage," Technology in Society, Elsevier, vol. 67(C).
    23. Joseph Amankwah-Amoah & Stephen Kehinde Medase, 2024. "Extracting Innovation Value from Intellectual Property: Evidence from sub-Saharan Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8933-8967, June.
    24. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    25. Wei Chen & Hui Qu & Kuo Chi, 2021. "Partner Selection in China Interorganizational Patent Cooperation Network Based on Link Prediction Approaches," Sustainability, MDPI, vol. 13(2), pages 1-16, January.

  8. Diego d'Andria & Ivan Savin, 2015. "Motivating innovation in a knowledge economy with tax incentives," Jena Economics Research Papers 2015-004, Friedrich-Schiller-University Jena.

    Cited by:

    1. Diego d'Andria, 2016. "Employed inventors, inter-firm mobility, bonus pay with multi-stage R&D processes, and optimal innovation policy," JRC Working Papers on Taxation & Structural Reforms 2016-02, Joint Research Centre.
    2. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
    3. Minna Saunila & Juhani Ukko & Tero Rantala & Mina Nasiri & Hannu Rantanen, 2020. "Preceding operational capabilities as antecedents for productivity and innovation performance," Journal of Business Economics, Springer, vol. 90(4), pages 537-561, May.

  9. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economics Research Papers 2015-011, Friedrich-Schiller-University Jena.

    Cited by:

    1. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
    2. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.

  10. Dmitri Blueschke & Ivan Savin, 2015. "No such thing like perfect hammer: comparing different objective function specifications for optimal control," Jena Economics Research Papers 2015-005, Friedrich-Schiller-University Jena.

    Cited by:

    1. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economics Research Papers 2015-011, Friedrich-Schiller-University Jena.

  11. Uwe Cantner & Ivan Savin, 2014. "Do Firms Benefit from Complementarity Effect in R&D and What Drives their R&D Strategy Choices?," Jena Economics Research Papers 2014-023, Friedrich-Schiller-University Jena.

    Cited by:

    1. Uwe Cantner, 2017. "Foundations of Economic Change: An Extended Schumpeterian Approach," Economic Complexity and Evolution, in: Andreas Pyka & Uwe Cantner (ed.), Foundations of Economic Change, pages 9-49, Springer.

  12. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economics Research Papers 2013-051, Friedrich-Schiller-University Jena.

    Cited by:

    1. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.

  13. D. Blueschke & V. Blueschke-Nikolaeva & Ivan Savin, 2012. "New Insights Into Optimal Control of Nonlinear Dynamic Econometric Models: Application of a Heuristic Approach," Jena Economics Research Papers 2012-008, Friedrich-Schiller-University Jena.

    Cited by:

    1. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    2. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economics Research Papers 2012-056, Friedrich-Schiller-University Jena.
    3. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Working Papers CEB 13-022, ULB -- Universite Libre de Bruxelles.
    4. Dmitri Blueschke & Ivan Savin, 2015. "No such thing like perfect hammer: comparing different objective function specifications for optimal control," Jena Economics Research Papers 2015-005, Friedrich-Schiller-University Jena.
    5. Maurizio Bovi & Roy Cerqueti, 2016. "Forecasting macroeconomic fundamentals in economic crises," Annals of Operations Research, Springer, vol. 247(2), pages 451-469, December.
    6. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
    7. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    8. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economics Research Papers 2015-011, Friedrich-Schiller-University Jena.
    9. Sana Ben Abdallah & Dhafer Saidane & Mihaly Petreczky, 2023. "Application of Robust Control for CSR Formalization and Stakeholders Interest," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 891-934, October.
    10. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.
    11. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economics Research Papers 2013-051, Friedrich-Schiller-University Jena.
    12. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.

  14. Ivan Savin & Peter Winker, 2012. "Lasso-type and Heuristic Strategies in Model Selection and Forecasting," Jena Economics Research Papers 2012-055, Friedrich-Schiller-University Jena.

    Cited by:

    1. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    2. Kascha, Christian & Trenkler, Carsten, 2015. "Forecasting VARs, model selection, and shrinkage," Working Papers 15-07, University of Mannheim, Department of Economics.

  15. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economics Research Papers 2012-056, Friedrich-Schiller-University Jena.

    Cited by:

    1. Mauro Caminati, 2021. "Knowledge distance and R&D collaboration in Cournot oligopoly," Metroeconomica, Wiley Blackwell, vol. 72(1), pages 57-81, February.
    2. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2021. "It’s a Match! Simulating Compatibility-based Learning in a Network of Networks," Economic Complexity and Evolution, in: Michael P. Schlaile (ed.), Memetics and Evolutionary Economics, chapter 0, pages 99-140, Springer.
    3. Ivan Savin, 2021. "On optimal regimes of knowledge exchange: a model of recombinant growth and firm networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 497-527, July.
    4. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Working Papers CEB 13-022, ULB -- Universite Libre de Bruxelles.
    5. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
    6. Eun Hwa Lee & Choo Yeon Kim & Jae Wook Yoo, 2020. "Relationship between User Innovation Activities and Market Performance: Moderated Mediating Effect of Absorptive Capacity and CEO’s Shareholding on Innovation Performance," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    7. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    8. Sohaib S. Hassan & Konrad Meisner & Kevin Krause & Levan Bzhalava & Petra Moog, 2024. "Is digitalization a source of innovation? Exploring the role of digital diffusion in SME innovation performance," Small Business Economics, Springer, vol. 62(4), pages 1469-1491, April.
    9. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
    10. Yun, JinHyo Joseph & Ahn, Heung Ju & Lee, Doo Seok & Park, Kyung Bae & Zhao, Xiaofei, 2022. "Inter-rationality; Modeling of bounded rationality in open innovation dynamics," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Medase, Kehinde, 2019. "The Impact of the Heterogeneity of Employees’ Qualifications on Firm-level Innovation Evidence from Nigerian Firms," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203563, Verein für Socialpolitik / German Economic Association.
    12. Diego d'Andria & Ivan Savin, 2015. "Motivating innovation in a knowledge economy with tax incentives," Jena Economics Research Papers 2015-004, Friedrich-Schiller-University Jena.
    13. Ángela González-Moreno & Pablo Ruiz-Palomino & Francisco J. Sáez-Martínez, 2019. "Can CEOs’ Corporate Social Responsibility Orientation Improve Firms’ Cooperation in International Scenarios?," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    14. Uwe Cantner & Ivan Savin, 2014. "Do Firms Benefit from Complementarity Effect in R&D and What Drives their R&D Strategy Choices?," Jena Economics Research Papers 2014-023, Friedrich-Schiller-University Jena.
    15. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economics Research Papers 2013-051, Friedrich-Schiller-University Jena.
    16. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.
    17. Yingkai Tang & Yaozhi Chen & Kun Wang & He Xu & Xiaoqi Yi, 2020. "An Analysis on the Spatial Effect of Absorptive Capacity on Regional Innovation Ability Based on Empirical Research in China," Sustainability, MDPI, vol. 12(7), pages 1-23, April.

  16. Ivan Savin & Peter Winker, 2011. "Heuristic model selection for leading indicators in Russia and Germany," Working Papers 046, COMISEF.

    Cited by:

    1. Anna Staszewska-Bystrova & Peter Winker, 2014. "Measuring Forecast Uncertainty of Corporate Bond Spreads by Bonferroni-Type Prediction Bands," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(2), pages 89-104, June.
    2. Deimante Teresiene & Greta Keliuotyte-Staniuleniene & Yiyi Liao & Rasa Kanapickiene & Ruihui Pu & Siyan Hu & Xiao-Guang Yue, 2021. "The Impact of the COVID-19 Pandemic on Consumer and Business Confidence Indicators," JRFM, MDPI, vol. 14(4), pages 1-23, April.
    3. Staszewska-Bystrova Anna, 2013. "Modified Scheffé’s Prediction Bands," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(5-6), pages 680-690, October.
    4. Tommaso Ferraresi & Andrea Roventini & Willi Semmler, 2016. "Macroeconomic Regimes, Technological Shocks and Employment Dynamics," Working Papers hal-03469938, HAL.
    5. Igor Drapkin & Savin Ivan & Zverev Ilya, 2024. "Revisiting the Effect of Hosting Large-Scale Sport Events on International Tourist Inflows," Journal of Sports Economics, , vol. 25(1), pages 98-125, January.
    6. Baragona Roberto & Cucina Domenico, 2013. "Multivariate Self-Exciting Threshold Autoregressive Modeling by Genetic Algorithms," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(1), pages 3-21, February.

  17. Ivan Savin & Peter Winker, 2010. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection. Application on the Russian Innovative Performance," Working Papers 027, COMISEF.

    Cited by:

    1. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    2. Andreas Sachs & Frauke Schleer, 2019. "Labor Market Performance in OECD Countries: The Role of Institutional Interdependencies," International Economic Journal, Taylor & Francis Journals, vol. 33(3), pages 431-454, July.
    3. Ivan Savin & Peter Winker, 2012. "Lasso-type and Heuristic Strategies in Model Selection and Forecasting," Jena Economics Research Papers 2012-055, Friedrich-Schiller-University Jena.
    4. Teplykh, Grigorii & Galimardanov, Amal, 2017. "Modeling of innovative investment in Russian regions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 104-125.
    5. D. Blueschke & V. Blueschke-Nikolaeva & Ivan Savin, 2012. "New Insights Into Optimal Control of Nonlinear Dynamic Econometric Models: Application of a Heuristic Approach," Jena Economics Research Papers 2012-008, Friedrich-Schiller-University Jena.
    6. Jens K. Perret, 2019. "Re-Evaluating the Knowledge Production Function for the Regions of the Russian Federation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 670-694, June.
    7. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    8. Hagemann, Harald & Kufenko, Vadim, 2014. "The political Kuznets curve for Russia: Income inequality, rent seeking regional elites and empirical determinants of protests during 2011/2012," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 39/2013, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    9. Marianna Lyra, 2010. "Heuristic Strategies in Finance – An Overview," Working Papers 045, COMISEF.
    10. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    11. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    12. Andreas Sachs & Frauke Schleer, 2013. "Labour Market Performance in OECD Countries: A Comprehensive Empirical Modelling Approach of Institutional Interdependencies. WWWforEurope Working Paper No. 7," WIFO Studies, WIFO, number 46851.
    13. Jens K. Perret, 2016. "A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation," EIIW Discussion paper disbei217, Universitätsbibliothek Wuppertal, University Library.
    14. Sachs, Andreas & Schleer, Frauke, 2013. "Labour market performance in OECD countries: A comprehensive empirical modelling approach of institutional interdependencies," ZEW Discussion Papers 13-040, ZEW - Leibniz Centre for European Economic Research.
    15. Jens K. Perret, 2016. "An Alternative Approach towards the Knowledge Production Function on a Regional Level - Applications for the USA and Russia," Schumpeter Discussion Papers SDP16003, Universitätsbibliothek Wuppertal, University Library.
    16. Delgado Castillo, Ángela & van den Bergh, Jeroen C.J.M. & Savin, Ivan & Sarto i Monteys, Víctor, 2020. "Cost-benefit analysis of conservation policy: The red palm weevil in Catalonia, Spain," Ecological Economics, Elsevier, vol. 167(C).

  18. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.

    Cited by:

    1. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    2. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    3. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.

  19. Ivan Savin & Peter Winker, 2009. "Forecasting Russian Foreign Trade Comparative Advantages in the Context of a Potential WTO Accession," MAGKS Papers on Economics 200914, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    Cited by:

    1. Jürgen Meckl & Ivan Savin, 2018. "Factor-Biased Technical Change and Specialization Patterns," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(2), pages 75-100, June.
    2. Natalia Ishchukova & Luboš Smutka, 2013. "Revealed comparative advantage of Russian agricultural exports," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(4), pages 941-952.
    3. Ishchukova, N. & Smutka, L., 2013. "Comparative Advantage: Products Mapping of the Russian Agricultural Exports," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(3), pages 1-12, September.
    4. Andrey Pushkarev & Natalia Davidson & Oleg Mariev & Nikita Luft, 0000. "Specialization of Russia in international trade: development in the changing international environment," Proceedings of Economics and Finance Conferences 11413244, International Institute of Social and Economic Sciences.
    5. Svatoš, M. & Smutka, L. & Ishchukova, N. & Vasilyonok, V., 2014. "Russian Agrarian Foreign Trade Development – the Impact of Selected Factors," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-13, September.
    6. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    7. Zeynep KAPLAN & Feride DOÐANER GÖNEL, 2018. "Non-oil trade of Turkey and Russia in the Middle East: Trends and potential," Journal of Economics Library, KSP Journals, vol. 5(1), pages 42-58, March.
    8. Miroslav SVATOŠ & Luboš SMUTKA & Natalia ISHCHUKOVA, 2014. "The position of agriculture in the Russian Federation - the last two decades development overview," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(11), pages 489-502.

Articles

  1. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).

    Cited by:

    1. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    2. Ling, Maoliang & Liu, Chutian & Xu, Lin & Yang, Haimi, 2024. "Carrot and stick incentive policies for climate change mitigation: A survey experiment on crowding out of public support," Ecological Economics, Elsevier, vol. 223(C).

  2. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).

    Cited by:

    1. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    2. Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Bazzana, Davide & Vergalli, Sergio, 2024. "Beyond Green Preferences: Alternative Pathways to Net-Zero Emissions in the MATRIX model," FEEM Working Papers 339796, Fondazione Eni Enrico Mattei (FEEM).

  3. Daniel Torren-Peraire & Ivan Savin & Jeroen van den Bergh, 2024. "An Agent-Based Model of Cultural Change for a Low-Carbon Transition," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 27(1), pages 1-13.

    Cited by:

    1. Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Bazzana, Davide & Vergalli, Sergio, 2024. "Beyond Green Preferences: Alternative Pathways to Net-Zero Emissions in the MATRIX model," FEEM Working Papers 339796, Fondazione Eni Enrico Mattei (FEEM).

  4. Lewis C. King & Ivan Savin & Stefan Drews, 2023. "Shades of green growth scepticism among climate policy researchers," Nature Sustainability, Nature, vol. 6(11), pages 1316-1320, November.

    Cited by:

    1. Felix Carl Schultz & Ingo Pies, 2024. "The circular economy growth machine: A critical perspective on “post‐growth” and “pro‐growth” circularity approaches," Journal of Industrial Ecology, Yale University, vol. 28(1), pages 17-24, February.
    2. Kristian Kongshøj, 2023. "Social policy in a future of degrowth? Challenges for decommodification, commoning and public support," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    3. Tian, Jianchi & Li, Yang & Sun, Yan & Yang, Bo & Chen, Xuefeng, 2024. "Warming climate apathy to mitigate the disparity in climate policy support across distinct income strata," Energy Policy, Elsevier, vol. 192(C).
    4. O'Dell, Dallas & Contu, Davide & Shreedhar, Ganga, 2025. "Public support for degrowth policies and sufficiency behaviours in the United States: a discrete choice experiment," LSE Research Online Documents on Economics 126084, London School of Economics and Political Science, LSE Library.
    5. Suter, Manuel & Strahm, Noel & Bundeli, Till & Kaessner, Kaja & Cologna, Viktoria & Berger, Sebastian, 2024. "Framing effects in expert assessments of optimal GDP development," Ecological Economics, Elsevier, vol. 223(C).
    6. Soto, Gonzalo Hernández, 2024. "The effects of foreign direct investment on environmentally related technologies in Latin America," Resources Policy, Elsevier, vol. 90(C).

  5. Philipp Mundt & Ivan Savin & Uwe Cantner & Hiroyasu Inoue & Simone Vannuccini, 2023. "Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(6), pages 1267-1285.

    Cited by:

    1. INOUE Hiroyasu & TODO Yasuyuki, 2024. "Market Reaction to News Flows in Supply Chain Networks," Discussion papers 24077, Research Institute of Economy, Trade and Industry (RIETI).

  6. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.

    Cited by:

    1. Francesco Martielli & Vittorio Laus & Antonio Salvi & Anna Kotaskova, 2025. "Unlocking funding success: intercultural entrepreneurship dynamics in European startups," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-31, December.

  7. Marson, Marta & Savin, Ivan, 2022. "Complementary or adverse? Comparing development results of official funding from China and traditional donors in Africa," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 189-206.

    Cited by:

    1. Patino-Artaza, Helena & King, Lewis C. & Savin, Ivan, 2024. "Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe," Energy Policy, Elsevier, vol. 191(C).
    2. Liu, Ailan & Wang, Zhixuan & Wang, Ping, 2024. "Official or unofficial? extreme bounds analysis on the determinants of sovereign default," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    3. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).

  8. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M. & Villamayor-Tomás, Sergio, 2022. "Climate concern and policy acceptance before and after COVID-19," Ecological Economics, Elsevier, vol. 199(C).

    Cited by:

    1. Yamin Du & Huanhuan Cheng & Qing Liu & Song Tan, 2024. "The delayed and combinatorial response of online public opinion to the real world: An inquiry into news texts during the COVID-19 era," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    2. Lackner, Teresa & Fierro, Luca Eduardo & Mellacher, Patrick, 2024. "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," OSF Preprints rdfze, Center for Open Science.
    3. Sommer, Stephan & Konc, Théo & Drews, Stefan, 2023. "How Resilient is Public Support for Carbon Pricing? Longitudinal Evidence from Germany," Ruhr Economic Papers 1017, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2023. "Does COVID-19 Help or Harm the Climate? Modelling Long-run Emissions under Climate and Stimulus Policies," GREDEG Working Papers 2023-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Loureiro, Maria L. & Alló, Maria, 2024. "Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data," Resource and Energy Economics, Elsevier, vol. 77(C).
    6. Patino-Artaza, Helena & King, Lewis C. & Savin, Ivan, 2024. "Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe," Energy Policy, Elsevier, vol. 191(C).
    7. Shao, Qinglong & Kostka, Genia, 2023. "The COVID-19 pandemic and deepening digital inequalities in China," Telecommunications Policy, Elsevier, vol. 47(10).
    8. Rosell, Jordi, 2023. "Did governments neglect the environment during the COVID-19 pandemic? An empirical analysis of green public procurement," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 835-849.
    9. Muth, Daniel, 2023. "Pathways to stringent carbon pricing: Configurations of political economy conditions and revenue recycling strategies. A comparison of thirty national level policies," Ecological Economics, Elsevier, vol. 214(C).

  9. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    See citations under working paper version above.
  10. Savin, Ivan & Mundt, Philipp, 2022. "Drivers of productivity change in global value chains: Reallocation vs. innovation," Economics Letters, Elsevier, vol. 220(C).
    See citations under working paper version above.
  11. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2022. "Biased perceptions of other people's attitudes to carbon taxation," Energy Policy, Elsevier, vol. 167(C).

    Cited by:

    1. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    2. Tian, Jianchi & Li, Yang & Sun, Yan & Yang, Bo & Chen, Xuefeng, 2024. "Warming climate apathy to mitigate the disparity in climate policy support across distinct income strata," Energy Policy, Elsevier, vol. 192(C).
    3. Loureiro, Maria L. & Alló, Maria, 2024. "Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data," Resource and Energy Economics, Elsevier, vol. 77(C).
    4. Patino-Artaza, Helena & King, Lewis C. & Savin, Ivan, 2024. "Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe," Energy Policy, Elsevier, vol. 191(C).
    5. Leonard Knollenborg & Stephan Sommer, 2023. "Diverging Beliefs on Climate Change and Climate Policy: The Role of Political Orientation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1031-1049, April.
    6. Fang, Ximeng & Innocenti, Stefania, 2023. "Increasing the acceptability of carbon taxation: The role of social norms and economic reasoning," INET Oxford Working Papers 2023-25, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    7. Bendz, Anna & Bäckstedt, Felix & Harring, Niklas & Martin Persson, U., 2023. "Why do people accept or reject climate policies targeting food consumption? Unpacking justifications in the public debate in online social forums," Food Policy, Elsevier, vol. 121(C).
    8. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).
    9. Jakub Sokołowski & Piotr Lewandowski & Jan Frankowski, 2023. "How to Prevent Yellow Vests? Evaluating Preferences for a Carbon Tax with a Discrete Choice Experiment," IBS Working Papers 03/2023, Instytut Badan Strukturalnych.

  12. Nan Wang & Mingdi Xiao & Ivan Savin, 2021. "Complementarity effect in the innovation strategy: internal R&D and acquisition of capital with embodied technology," The Journal of Technology Transfer, Springer, vol. 46(2), pages 459-482, April.

    Cited by:

    1. Deng, Ruijia & Luo, Jingwen & He, Bingzhuo, 2024. "Enterprise innovation efficiency and government subsidies: Perspectives based on international investment rules," Finance Research Letters, Elsevier, vol. 65(C).
    2. Cui, Wenxin & Qiao, Cuixia, 2024. "Customer structure and R&D investment: Based on innovative trait," Finance Research Letters, Elsevier, vol. 66(C).
    3. Maciej Zastempowski & Szymon Cyfert, 2022. "The role of strategic innovation activities in creating Spanish agriculture companies' innovativeness," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(6), pages 230-238.
    4. Concepción Rubio‐Picón & Francisco Velasco‐Morente & Encarnación Ramos‐Hidalgo & María A. Agustí, 2023. "The effect of innovation efficiency management on performance: Differences according to organizational size," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 336-358, January.
    5. He, Feng & Chen, Longxuan & Wu, Haomin, 2024. "Competitive imitation and corporate innovation in private enterprises," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    6. Daniel López & Miquel Oliver, 2023. "Integrating Innovation into Business Strategy: Perspectives from Innovation Managers," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    7. Wang, Chenxi & Duan, Ran & Pan, Xingguang, 2024. "Directors assigned by non-state shareholders and innovation in state-owned enterprises," Finance Research Letters, Elsevier, vol. 66(C).
    8. Chen, Han & Wu, Linsheng, 2024. "Manager's entrepreneurial experience and firm innovation," Finance Research Letters, Elsevier, vol. 66(C).
    9. Wang, Nan & Wan, Jiahao & Ma, Zhenzhong & Zhou, Yan & Chen, Jin, 2023. "How digital platform capabilities improve sustainable innovation performance of firms: The mediating role of open innovation," Journal of Business Research, Elsevier, vol. 167(C).
    10. Yan, Jie & Gu, Xin & Xie, Zongtang, 2024. "CEO cultural and financial backgrounds and corporate innovation," Finance Research Letters, Elsevier, vol. 66(C).
    11. Nan Wang & Wenxuan Xie & Yalan Huang & Zhenzhong Ma, 2023. "Big Data capability and sustainability oriented innovation: The mediating role of intellectual capital," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5702-5720, December.

  13. Savin, Ivan & Drews, Stefan & van den Bergh, Jeroen, 2021. "Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis," Ecological Economics, Elsevier, vol. 180(C).

    Cited by:

    1. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    2. Bongini, Paola & Osborne, Francesco & Pedrazzoli, Alessia & Rossolini, Monica, 2022. "A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    4. Loureiro, Maria L. & Alló, Maria, 2024. "Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data," Resource and Energy Economics, Elsevier, vol. 77(C).
    5. Cafferata, Alessia & Dávila-Fernández, Marwil J. & Sordi, Serena, 2021. "Seeing what can(not) be seen: Confirmation bias, employment dynamics and climate change," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 567-586.
    6. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Tomaselli, Maria Fernanda & Kozak, Robert & Gifford, Robert & Sheppard, Stephen R.J., 2021. "Degrowth or Not Degrowth: The Importance of Message Frames for Characterizing the New Economy," Ecological Economics, Elsevier, vol. 183(C).
    8. Appolloni, Andrea & Chiappetta Jabbour, Charbel Jose & D'Adamo, Idiano & Gastaldi, Massimo & Settembre-Blundo, Davide, 2022. "Green recovery in the mature manufacturing industry: The role of the green-circular premium and sustainability certification in innovative efforts," Ecological Economics, Elsevier, vol. 193(C).
    9. Ivan Savin & Stefan Drews & Sara Maestre-Andrés & Jeroen Bergh, 2020. "Public views on carbon taxation and its fairness: a computational-linguistics analysis," Climatic Change, Springer, vol. 162(4), pages 2107-2138, October.

  14. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "Regulation at the source? Comparing upstream and downstream climate policies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

    Cited by:

    1. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    2. Cao, Yan & Cheng, Sheng & Li, Xinran, 2024. "Co-movements between heterogeneous crude oil and food markets: Does temperature change really matter?," Research in International Business and Finance, Elsevier, vol. 67(PB).
    3. Jia, Zhijie & Lin, Boqiang, 2023. "Primary fossil energy cost and price regulation in energy processing sectors---the perspective of price regulation market with Chinese characteristics," Resources Policy, Elsevier, vol. 83(C).
    4. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    5. Ye, Liping, 2022. "The effect of climate news risk on uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    6. Jean Chateau & Ms. Florence Jaumotte & Gregor Schwerhoff, 2022. "Climate Policy Options: A Comparison of Economic Performance," IMF Working Papers 2022/242, International Monetary Fund.

  15. Sara Maestre-Andrés & Stefan Drews & Ivan Savin & Jeroen Bergh, 2021. "Carbon tax acceptability with information provision and mixed revenue uses," Nature Communications, Nature, vol. 12(1), pages 1-10, December.

    Cited by:

    1. Laure Baratgin & Emmanuel Combet, 2022. "Quelques pistes pour concilier des objectifs sociaux, économiques et écologiques," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 121-146.
    2. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    3. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M. & Villamayor-Tomás, Sergio, 2022. "Climate concern and policy acceptance before and after COVID-19," Ecological Economics, Elsevier, vol. 199(C).
    4. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2022. "Biased perceptions of other people's attitudes to carbon taxation," Energy Policy, Elsevier, vol. 167(C).
    5. Pyddoke, Roger & From, Emma & Björklund, Gunilla & Andersson, Henrik, 2024. "The effect of information on public support for increased carbon taxes on transport fuels," Working Papers 2024:8, Swedish National Road & Transport Research Institute (VTI).
    6. Andrea Amado & Koji Kotani & Makoto Kakinaka & Shunsuke Managi, 2023. "Carbon tax for cleaner-energy transition: A vignette experiment in Japan," Working Papers SDES-2023-6, Kochi University of Technology, School of Economics and Management, revised Oct 2023.
    7. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    8. Sterner, Thomas & Ewald, Jens & Sterner, Erik, 2024. "Economists and the climate," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    9. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    10. Marco Catola & Pietro Guarnieri & Veronica Pizziol & Chiara Rapallini, 2023. "Measuring the attitude towards a European public budget: A cross-country experiment," Discussion Papers 2023/300, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    11. Tian, Jianchi & Li, Yang & Sun, Yan & Yang, Bo & Chen, Xuefeng, 2024. "Warming climate apathy to mitigate the disparity in climate policy support across distinct income strata," Energy Policy, Elsevier, vol. 192(C).
    12. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    13. Croon, T.M. & Hoekstra, J.S.C.M. & Dubois, U., 2024. "Energy poverty alleviation by social housing providers: A qualitative investigation of targeted interventions in France, England, and the Netherlands," Energy Policy, Elsevier, vol. 192(C).
    14. Loureiro, Maria L. & Alló, Maria, 2024. "Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data," Resource and Energy Economics, Elsevier, vol. 77(C).
    15. Ling, Maoliang & Liu, Chutian & Xu, Lin & Yang, Haimi, 2024. "Carrot and stick incentive policies for climate change mitigation: A survey experiment on crowding out of public support," Ecological Economics, Elsevier, vol. 223(C).
    16. Fang, Ximeng & Innocenti, Stefania, 2023. "Increasing the acceptability of carbon taxation: The role of social norms and economic reasoning," INET Oxford Working Papers 2023-25, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    17. Ewald, Jens & Sterner, Thomas & Sterner, Erik, 2022. "Understanding the resistance to carbon taxes: Drivers and barriers among the general public and fuel-tax protesters," Resource and Energy Economics, Elsevier, vol. 70(C).
    18. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    19. Wei, Liqun & Zhang, Libin & Wei, Wanying & Chen, Xiaohong & Wang, Kai, 2024. "Working along both lines? The relationship between government green publicity and emissions tax," European Journal of Operational Research, Elsevier, vol. 317(1), pages 128-140.
    20. Arlinghaus, Johanna Brigitte & Konc, Théo & Mattauch, Linus & Sommer, Stephan, 2024. "The effect of information framing on policy support: Experimental evidence from urban policies," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302449, Verein für Socialpolitik / German Economic Association.
    21. Txapartegi, Andoni & Cazcarro, Ignacio & Galarraga, Ibon, 2024. "Short-haul flights ban in France: Relevant potential but yet modest effects of GHG emissions reduction," Ecological Economics, Elsevier, vol. 224(C).
    22. Jia, Zhijie & Liu, Yu & Lin, Boqiang, 2024. "The impossible triangle of carbon mitigation policy," Energy Policy, Elsevier, vol. 189(C).

  16. Konc, Théo & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "The social multiplier of environmental policy: Application to carbon taxation," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).

    Cited by:

    1. Che, Yuyuan & Feng, Hongli & Hennessy, David A., 2023. "Will adoption occur if a practice is win-win for profit and the environment? An application to a rancher's grazing practice choices," Ecological Economics, Elsevier, vol. 209(C).
    2. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    3. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    4. Mattauch, Linus & Hepburn, Cameron & Spuler, Fiona & Stern, Nicholas, 2022. "The economics of climate change with endogenous preferences," LSE Research Online Documents on Economics 115389, London School of Economics and Political Science, LSE Library.
    5. Liu, Ying & Feng, Chao, 2023. "Promoting renewable energy through national energy legislation," Energy Economics, Elsevier, vol. 118(C).
    6. Franziska Funke & Linus Mattauch & Inge van den Bijgaart & H. Charles J. Godfray & Cameron Hepburn & David Klenert & Marco Springmann & Nicolas Treich, 2022. "Toward Optimal Meat Pricing: Is It Time to Tax Meat Consumption?," Review of Environmental Economics and Policy, University of Chicago Press, vol. 16(2), pages 219-240.
    7. Jeroen den Bergh & Ivan Savin, 2021. "Impact of Carbon Pricing on Low-Carbon Innovation and Deep Decarbonisation: Controversies and Path Forward," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 705-715, December.
    8. Lorenz Dögnitz & Théo Konc & Linus Mattauch, 2024. "The Political Economics of Green Transitions: Optimal Intertemporal Policy Response," Berlin School of Economics Discussion Papers 0047, Berlin School of Economics.
    9. Fangzhi Wang & Hua Liao & Richard S.J. Tol & Changjing, "undated". "Endogenous preference for non-market goods in carbon abatement decision," Working Paper Series 0224, Department of Economics, University of Sussex Business School.
    10. Delfgaauw, Josse & Swank, Otto, 2024. "The political climate trap," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    11. Zahid Hussain & Bihizi Marcel & Abdul Majeed & Raymondo Sandra Marcelline Tsimisaraka, 2024. "Effects of transport–carbon intensity, transportation, and economic complexity on environmental and health expenditures," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16523-16553, July.
    12. Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Bazzana, Davide & Vergalli, Sergio, 2024. "Beyond Green Preferences: Alternative Pathways to Net-Zero Emissions in the MATRIX model," FEEM Working Papers 339796, Fondazione Eni Enrico Mattei (FEEM).
    13. Foramitti, Joël, 2023. "A framework for agent-based models of human needs and ecological limits," Ecological Economics, Elsevier, vol. 204(PA).
    14. Lipari, Francesca & Lázaro-Touza, Lara & Escribano, Gonzalo & Sánchez, Ángel & Antonioni, Alberto, 2024. "When the design of climate policy meets public acceptance: An adaptive multiplex network model," Ecological Economics, Elsevier, vol. 217(C).

  17. Jeroen den Bergh & Ivan Savin, 2021. "Correction to: Impact of Carbon Pricing on Low-Carbon Innovation and Deep Decarbonisation: Controversies and Path Forward," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 717-717, December.

    Cited by:

    1. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    2. Johan Lilliestam & Anthony Patt & Germán Bersalli, 2022. "On the quality of emission reductions: observed effects of carbon pricing on investments, innovation, and operational shifts. A response to van den Bergh and Savin (2021)," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 733-758, November.
    3. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    4. Mayer, Jakob & Dugan, Anna & Bachner, Gabriel & Steininger, Karl W., 2021. "Is carbon pricing regressive? Insights from a recursive-dynamic CGE analysis with heterogeneous households for Austria," Energy Economics, Elsevier, vol. 104(C).
    5. Jens J. Krüger & Moritz Tarach, 2022. "Greenhouse Gas Emission Reduction Potentials in Europe by Sector: A Bootstrap-Based Nonparametric Efficiency Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 867-898, April.
    6. Nicola Campigotto & Marco Catola & Andrè Cieplinksi & Simone D'Alessandro & Tiziano Distefano & Pietro Guarnieri & Till Heydenreich, 2024. "Scenario discovery for a just low-carbon transition," Discussion Papers 2024/304, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    7. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).
    8. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).

  18. Ivan Savin, 2021. "On optimal regimes of knowledge exchange: a model of recombinant growth and firm networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 497-527, July.

    Cited by:

    1. Philipp Mundt & Ivan Savin & Uwe Cantner & Hiroyasu Inoue & Simone Vannuccini, 2023. "Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(6), pages 1267-1285.
    2. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).

  19. J. van den Bergh & J. Castro & S. Drews & F. Exadaktylos & J. Foramitti & F. Klein & T. Konc & I. Savin, 2021. "Designing an effective climate-policy mix: accounting for instrument synergy," Climate Policy, Taylor & Francis Journals, vol. 21(6), pages 745-764, July.

    Cited by:

    1. Kidman, Rachel & Raub, Amy & Martin, Alfredo & Bhuwania, Pragya & Bose, Bijetri & Heymann, Jody, 2024. "Reducing child marriage in sub-Saharan Africa: Evaluating the joint potential of protective marriage and education policies," Children and Youth Services Review, Elsevier, vol. 164(C).
    2. Andreassen, Gøril L. & Kallbekken, Steffen & Rosendahl, Knut Einar, 2024. "Can policy packaging help overcome Pigouvian tax aversion? A lab experiment on combining taxes and subsidies," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    3. Sun, Wen & Hao, Xinyu & Zhang, Xiaoling, 2024. "Climate policy interactions: Capturing game signals in carbon markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    4. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2023. "Fossil fuels subsidy removal and the EU carbon neutrality policy," Energy Economics, Elsevier, vol. 119(C).
    5. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    6. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2023. "Does COVID-19 Help or Harm the Climate? Modelling Long-run Emissions under Climate and Stimulus Policies," GREDEG Working Papers 2023-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    7. Lessmann, Christian & Kramer, Niklas, 2024. "The effect of cap-and-trade on sectoral emissions: Evidence from California," Energy Policy, Elsevier, vol. 188(C).
    8. Marc D. Davidson, 2023. "Individual Responsibility to Reduce Greenhouse Gas Emissions from a Kantian Deontological Perspective," Environmental Values, , vol. 32(6), pages 683-699, December.
    9. Jeroen den Bergh & Ivan Savin, 2021. "Impact of Carbon Pricing on Low-Carbon Innovation and Deep Decarbonisation: Controversies and Path Forward," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 705-715, December.
    10. Ichaou Mounirou, 2022. "Do climatic factors induce rural migration? Empirical evidence from cotton farmers in Benin," Natural Resources Forum, Blackwell Publishing, vol. 46(4), pages 393-409, November.
    11. Ling, Maoliang & Liu, Chutian & Xu, Lin & Yang, Haimi, 2024. "Carrot and stick incentive policies for climate change mitigation: A survey experiment on crowding out of public support," Ecological Economics, Elsevier, vol. 223(C).
    12. Sun, Jianhua & Hou, Shaobo & Deng, Yuxia & Li, Huaicheng, 2024. "New media environment, green technological innovation and corporate productivity: Evidence from listed companies in China," Energy Economics, Elsevier, vol. 131(C).
    13. Ladenburg, Jacob & Kânoğlu-Özkan, Dilge Güldehen & Soytas, Ugur, 2024. "CO2 consumer tax support and wind turbine exposure," Ecological Economics, Elsevier, vol. 224(C).
    14. Mekonnen, Alemu & Hassen, Sied & Jaime, Marcela & Toman, Michael & Zhang, Xiao-Bing, 2020. "The Effect of Information and Subsidy on Adoption of Solar Lanterns:An Application of the BDM Bidding Mechanism in Rural Ethiopia," EfD Discussion Paper 20-27, Environment for Development, University of Gothenburg.
    15. Xiao Yu & Yingdong Xu & Jian Zhang & Yue Sun, 2022. "The Synergy Green Innovation Effect of Green Innovation Subsidies and Carbon Taxes," Sustainability, MDPI, vol. 14(6), pages 1-27, March.
    16. Hongge Zhu & Yingli Cai & Hong Lin & Yuchen Tian, 2022. "Impacts of Cross-Sectoral Climate Policy on Forest Carbon Sinks and Their Spatial Spillover: Evidence from Chinese Provincial Panel Data," IJERPH, MDPI, vol. 19(21), pages 1-21, November.
    17. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    18. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    19. Andrea M. Bassi & Valeria Costantini & Elena Paglialunga, 2021. "Modelling the European Union Sustainability Transition: A Soft-Linking Approach," Sustainability, MDPI, vol. 13(11), pages 1-24, June.
    20. Jean Chateau & Ms. Florence Jaumotte & Gregor Schwerhoff, 2022. "Climate Policy Options: A Comparison of Economic Performance," IMF Working Papers 2022/242, International Monetary Fund.
    21. Wu, Shu & Hu, Fangfang & Zhang, Zhijian, 2024. "Visible hand or invisible hand in climate governance? Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
    22. Jiang, Zihao & Shi, Jiarong, 2023. "Government intervention and technological innovation in the wind power industry in China: The role of industrial environmental turbulence," Applied Energy, Elsevier, vol. 344(C).
    23. Xue Wang & Suwei Feng & Tianyi Tang, 2023. "Acceptability toward Policy Mix: Impact of Low-Carbon Travel Intention, Fairness, and Effectiveness," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    24. Hoyle, Aaron & Peters, Jotham & Jaccard, Mark & Rhodes, Ekaterina, 2024. "Additional or accidental? Simulating interactions between a low-carbon fuel standard and other climate policy instruments in Canada," Energy Policy, Elsevier, vol. 185(C).
    25. Xinjie Yan & Hui Sun & Long Xin, 2023. "“Harmonization” or “Fragmentation”: The Impact of Low-Carbon Policy Synergy on Inclusive Low-Carbon Development," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    26. Ali Darudi & Hannes Weigt, 2024. "Review and Assessment of Decarbonized Future Electricity Markets," Energies, MDPI, vol. 17(18), pages 1-38, September.
    27. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).
    28. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).
    29. Hu, Xing & Yu, Shiwei & Fang, Xu & Ovaere, Marten, 2023. "Which combinations of renewable energy policies work better? Insights from policy text synergies in China," Energy Economics, Elsevier, vol. 127(PA).
    30. Penny Mealy & Pete Barbrook-Johnson & Matthew C Ives & Sugandha Srivastav & Cameron Hepburn, 2023. "Sensitive intervention points: a strategic approach to climate action," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 39(4), pages 694-710.

  20. Jeroen den Bergh & Ivan Savin, 2021. "Impact of Carbon Pricing on Low-Carbon Innovation and Deep Decarbonisation: Controversies and Path Forward," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 705-715, December.

    Cited by:

    1. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    2. Johan Lilliestam & Anthony Patt & Germán Bersalli, 2022. "On the quality of emission reductions: observed effects of carbon pricing on investments, innovation, and operational shifts. A response to van den Bergh and Savin (2021)," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 733-758, November.
    3. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    4. Mayer, Jakob & Dugan, Anna & Bachner, Gabriel & Steininger, Karl W., 2021. "Is carbon pricing regressive? Insights from a recursive-dynamic CGE analysis with heterogeneous households for Austria," Energy Economics, Elsevier, vol. 104(C).
    5. Jens J. Krüger & Moritz Tarach, 2022. "Greenhouse Gas Emission Reduction Potentials in Europe by Sector: A Bootstrap-Based Nonparametric Efficiency Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 867-898, April.
    6. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    7. Nicola Campigotto & Marco Catola & Andrè Cieplinksi & Simone D'Alessandro & Tiziano Distefano & Pietro Guarnieri & Till Heydenreich, 2024. "Scenario discovery for a just low-carbon transition," Discussion Papers 2024/304, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    8. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).
    9. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).
    10. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    11. Niklas Döbbeling-Hildebrandt & Klaas Miersch & Tarun M. Khanna & Marion Bachelet & Stephan B. Bruns & Max Callaghan & Ottmar Edenhofer & Christian Flachsland & Piers M. Forster & Matthias Kalkuhl & Ni, 2024. "Systematic review and meta-analysis of ex-post evaluations on the effectiveness of carbon pricing," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    12. Chen, Ming & Li, Zhongfei & Liu, Zhuang, 2024. "Substantive response or strategic response? The induced green innovation effects of carbon prices," International Review of Financial Analysis, Elsevier, vol. 93(C).

  21. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "Emission tax vs. permit trading under bounded rationality and dynamic markets," Energy Policy, Elsevier, vol. 148(PB).

    Cited by:

    1. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    2. Cai, Dong & Zhang, Guoxing & Lai, Kee-hung & Guo, Chunxiang & Su, Bin, 2024. "Government incentive contract design for carbon reduction innovation considering market value under asymmetric information," Energy Policy, Elsevier, vol. 186(C).
    3. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    4. Jing Han & Weilin Zhu & Chaofan Chen, 2023. "Identifying Emissions Reduction Opportunities in International Bilateral Emissions Trading Systems to Achieve China’s Energy Sector NDCs," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    5. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2023. "Warming the MATRIX: a Climate Assessment under Uncertainty and Heterogeneity," FEEM Working Papers 334607, Fondazione Eni Enrico Mattei (FEEM).
    6. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    7. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    8. Jean Chateau & Ms. Florence Jaumotte & Gregor Schwerhoff, 2022. "Climate Policy Options: A Comparison of Economic Performance," IMF Working Papers 2022/242, International Monetary Fund.
    9. Wang, Zhaohua & Zhang, Hongzhi & Li, Hao & Wang, Bo & Cui, Qi & Zhang, Bin, 2022. "Economic impact and energy transformation of different effort-sharing schemes to pursue 2 ℃ warming limit in China," Applied Energy, Elsevier, vol. 320(C).
    10. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "Regulation at the source? Comparing upstream and downstream climate policies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    11. Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Bazzana, Davide & Vergalli, Sergio, 2024. "Beyond Green Preferences: Alternative Pathways to Net-Zero Emissions in the MATRIX model," FEEM Working Papers 339796, Fondazione Eni Enrico Mattei (FEEM).

  22. Ivan V. Savin & Oleg S. Mariev & Andrey A. Pushkarev, 2020. "Measuring the strength of market selection in Russia: When the (firm) size matters," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 2.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Philipp Mundt & Ivan Savin & Uwe Cantner & Hiroyasu Inoue & Simone Vannuccini, 2023. "Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(6), pages 1267-1285.

  23. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.

    Cited by:

    1. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    2. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    3. Tianran Ding & Wouter Achten, 2023. "Coupling agent-based modeling with territorial LCA to support agricultural land-use planning," ULB Institutional Repository 2013/359527, ULB -- Universite Libre de Bruxelles.
    4. Abba, Z.Y.I. & Balta-Ozkan, N. & Hart, P., 2022. "A holistic risk management framework for renewable energy investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    5. Paola D'Orazio & Jessica Reale & Anh Duy Pham, 2023. "Climate-induced liquidity crises: interbank exposures and macroprudential implications," Chemnitz Economic Papers 059, Department of Economics, Chemnitz University of Technology.
    6. Lilit Popoyan & Alessandro Sapio, 2023. "Prevention first vs. cap-and-trade policies in an agent-based integrated assessment model with GHG emissions permits," LEM Papers Series 2023/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    8. Wolf Rogowski & Wolfram Elsner, 2021. "How economics can help mitigate climate change - a critical review and conceptual analysis of economic paradigms," Bremen Papers on Economics & Innovation 2106, University of Bremen, Faculty of Business Studies and Economics.
    9. Nuñez-Jimenez, Alejandro & Knoeri, Christof & Hoppmann, Joern & Hoffmann, Volker H., 2022. "Beyond innovation and deployment: Modeling the impact of technology-push and demand-pull policies in Germany's solar policy mix," Research Policy, Elsevier, vol. 51(10).
    10. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," FEEM Working Papers 319877, Fondazione Eni Enrico Mattei (FEEM).
    11. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    12. Hoffart, Franziska M. & D'Orazio, Paola & Holz, Franziska & Kemfert, Claudia, 2024. "Exploring the interdependence of climate, finance, energy, and geopolitics: A conceptual framework for systemic risks amidst multiple crises," Applied Energy, Elsevier, vol. 361(C).
    13. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).
    14. Tianran Ding & Wouter Achten, 2022. "Coupling agent-based modeling with territorial LCA to support agricultural land-use planning," ULB Institutional Repository 2013/352782, ULB -- Universite Libre de Bruxelles.
    15. Foramitti, Joël, 2023. "A framework for agent-based models of human needs and ecological limits," Ecological Economics, Elsevier, vol. 204(PA).

  24. Savin, I., 2020. "Studying market selection in Russia and abroad: Measurement problems, national specificity and stimulating methods," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 197-204.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Philipp Mundt & Ivan Savin & Uwe Cantner & Hiroyasu Inoue & Simone Vannuccini, 2023. "Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(6), pages 1267-1285.

  25. Delgado Castillo, Ángela & van den Bergh, Jeroen C.J.M. & Savin, Ivan & Sarto i Monteys, Víctor, 2020. "Cost-benefit analysis of conservation policy: The red palm weevil in Catalonia, Spain," Ecological Economics, Elsevier, vol. 167(C).

    Cited by:

    1. Zvi Mendel & Hillary Voet & Ilan Nazarian & Svetlana Dobrinin & Dana Ment, 2024. "Comprehensive Analysis of Management Strategies for Red Palm Weevil in Date Palm Settings, Emphasizing Sensor-Based Infestation Detection," Agriculture, MDPI, vol. 14(2), pages 1-16, February.

  26. Ivan Savin & Stefan Drews & Sara Maestre-Andrés & Jeroen Bergh, 2020. "Public views on carbon taxation and its fairness: a computational-linguistics analysis," Climatic Change, Springer, vol. 162(4), pages 2107-2138, October.

    Cited by:

    1. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    2. Bongini, Paola & Osborne, Francesco & Pedrazzoli, Alessia & Rossolini, Monica, 2022. "A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M. & Villamayor-Tomás, Sergio, 2022. "Climate concern and policy acceptance before and after COVID-19," Ecological Economics, Elsevier, vol. 199(C).
    4. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2022. "Biased perceptions of other people's attitudes to carbon taxation," Energy Policy, Elsevier, vol. 167(C).
    5. Andrea Amado & Koji Kotani & Makoto Kakinaka & Shunsuke Managi, 2023. "Carbon tax for cleaner-energy transition: A vignette experiment in Japan," Working Papers SDES-2023-6, Kochi University of Technology, School of Economics and Management, revised Oct 2023.
    6. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    7. Ewald, Jens & Sterner, Thomas & Sterner, Erik, 2021. "Understanding the Resistance to Carbon Taxes: A Case Study of Sweden," RFF Working Paper Series 21-18, Resources for the Future.
    8. Sterner, Thomas & Ewald, Jens & Sterner, Erik, 2024. "Economists and the climate," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    9. Banna, Hasanul & Alam, Ashraful & Chen, Xihui Haviour & Alam, Ahmed W., 2023. "Energy security and economic stability: The role of inflation and war," Energy Economics, Elsevier, vol. 126(C).
    10. Sara Maestre-Andrés & Stefan Drews & Ivan Savin & Jeroen Bergh, 2021. "Carbon tax acceptability with information provision and mixed revenue uses," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    11. Loureiro, Maria L. & Alló, Maria, 2024. "Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data," Resource and Energy Economics, Elsevier, vol. 77(C).
    12. Cascavilla, Alessandro, 2022. "Does climate change concern alter tax morale preferences? Evidence from an Italian survey," MPRA Paper 113039, University Library of Munich, Germany.
    13. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    14. Fang, Ximeng & Innocenti, Stefania, 2023. "Increasing the acceptability of carbon taxation: The role of social norms and economic reasoning," INET Oxford Working Papers 2023-25, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    15. Dugoua, Eugenie & Dumas, Marion & Noailly, Joëlle, 2022. "Text as data in environmental economics and policy," LSE Research Online Documents on Economics 115396, London School of Economics and Political Science, LSE Library.
    16. Ewald, Jens & Sterner, Thomas & Sterner, Erik, 2022. "Understanding the resistance to carbon taxes: Drivers and barriers among the general public and fuel-tax protesters," Resource and Energy Economics, Elsevier, vol. 70(C).
    17. Savin, Ivan & Drews, Stefan & van den Bergh, Jeroen, 2021. "Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis," Ecological Economics, Elsevier, vol. 180(C).
    18. Izlawanie Muhammad & Norfakhirah Nazihah Mohd Hasnu & Mohd Adha Ibrahim & Suhaila Abdul Hamid & Mustafa Mohd Hanefah, 2022. "Trust in Government and Its Determinants: An Empirical Study of Public Acceptability for Carbon Tax in Malaysia," Sustainability, MDPI, vol. 14(23), pages 1-12, November.
    19. Jessica Birkholz & Jutta Günther & Mariia Shkolnykova, 2021. "Using Topic Modeling in Innovation Studies: The Case of a Small Innovation System under Conditions of Pandemic Related Change," Bremen Papers on Economics & Innovation 2101, University of Bremen, Faculty of Business Studies and Economics.
    20. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).
    21. Silvi, Mariateresa & Padilla Rosa, Emilio, 2023. "A tragedy of the horizons? An intertemporal perspective on public support for carbon taxes," Energy Economics, Elsevier, vol. 125(C).
    22. Niklas Döbbeling-Hildebrandt & Klaas Miersch & Tarun M. Khanna & Marion Bachelet & Stephan B. Bruns & Max Callaghan & Ottmar Edenhofer & Christian Flachsland & Piers M. Forster & Matthias Kalkuhl & Ni, 2024. "Systematic review and meta-analysis of ex-post evaluations on the effectiveness of carbon pricing," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    23. Oskar Lindgren & Erik Elwing & Mikael Karlsson & Sverker C. Jagers, 2024. "Public acceptability of climate-motivated rationing," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.

  27. Savin, Ivan & Marson, Marta & Sutormina, Marina, 2020. "How different aid flows affect different trade flows: Evidence from Africa and its largest donors," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 119-136.

    Cited by:

    1. Marson, Marta & Maggi, Elena & Scacchi, Matteo, 2021. "Financing African infrastructure: The role of China in African railways," Research in Transportation Economics, Elsevier, vol. 88(C).
    2. Marson, Marta & Savin, Ivan, 2022. "Complementary or adverse? Comparing development results of official funding from China and traditional donors in Africa," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 189-206.
    3. Shen, Jim Huangnan & Long, Zhiming & Lee, Chien-Chiang & Zhang, Jun, 2022. "Comparative advantage, endowment structure, and trade imbalances," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 365-375.
    4. Igor Drapkin & Savin Ivan & Zverev Ilya, 2024. "Revisiting the Effect of Hosting Large-Scale Sport Events on International Tourist Inflows," Journal of Sports Economics, , vol. 25(1), pages 98-125, January.

  28. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.

    Cited by:

    1. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    2. V. Blueschke-Nikolaeva & D. Blueschke & R. Neck, 2020. "OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 145-162, June.

  29. Ivan Savin & Oleg Mariev & Andrey Pushkarev, 2019. "Survival of the Fittest? Measuring the Strength of Market Selection on the Example of the Urals Federal District," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(1), pages 90-117.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    3. Mundt, Philipp & Cantner, Uwe & Inoue, Hiroyasu & Savin, Ivan & Vannuccini, Simone, 2021. "Market selection in global value chains," BERG Working Paper Series 170, Bamberg University, Bamberg Economic Research Group.
    4. Savin, I., 2020. "Studying market selection in Russia and abroad: Measurement problems, national specificity and stimulating methods," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 197-204.
    5. Andrey Pushkarev & Anna Sennikova & Oleg Mariev, 2020. "Econometric Estimation Of Market Selection In Russia: Different Performance Indicators," Proceedings of Economics and Finance Conferences 10913104, International Institute of Social and Economic Sciences.

  30. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2019. "Replicator dynamics in value chains: explaining some puzzles of market selection," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 589-611.
    See citations under working paper version above.
  31. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2019. "Opinion Clusters in Academic and Public Debates on Growth-vs-Environment," Ecological Economics, Elsevier, vol. 157(C), pages 141-155.

    Cited by:

    1. Vilasanti da Luz, Victoria & Mantovani, Danielle & Nepomuceno, Marcelo Vinhal, 2020. "Matching green messages with brand positioning to improve brand evaluation," Journal of Business Research, Elsevier, vol. 119(C), pages 25-40.
    2. Tian, Jianchi & Li, Yang & Sun, Yan & Yang, Bo & Chen, Xuefeng, 2024. "Warming climate apathy to mitigate the disparity in climate policy support across distinct income strata," Energy Policy, Elsevier, vol. 192(C).
    3. Tomaselli, Maria Fernanda & Sheppard, Stephen R.J. & Kozak, Robert & Gifford, Robert, 2019. "What do Canadians think about economic growth, prosperity and the environment?," Ecological Economics, Elsevier, vol. 161(C), pages 41-49.
    4. O'Dell, Dallas & Contu, Davide & Shreedhar, Ganga, 2025. "Public support for degrowth policies and sufficiency behaviours in the United States: a discrete choice experiment," LSE Research Online Documents on Economics 126084, London School of Economics and Political Science, LSE Library.
    5. Savin, Ivan & Drews, Stefan & van den Bergh, Jeroen, 2021. "GEM: A short “Growth-vs-Environment” Module for survey research," Ecological Economics, Elsevier, vol. 187(C).
    6. Savin, Ivan & Drews, Stefan & van den Bergh, Jeroen, 2021. "Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis," Ecological Economics, Elsevier, vol. 180(C).
    7. Akbulut, Bengi & Demaria, Federico & Gerber, Julien-François & Martínez-Alier, Joan, 2019. "Who promotes sustainability? Five theses on the relationships between the degrowth and the environmental justice movements," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    8. Koskimäki, Teemu, 2023. "Targeting socioeconomic transformations to achieve global sustainability," Ecological Economics, Elsevier, vol. 211(C).
    9. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen, 2024. "A Global Survey of Scientific Consensus and Controversy on Instruments of Climate Policy," Ecological Economics, Elsevier, vol. 218(C).
    10. García-García, Pablo & Buendía, Luis & Carpintero, Óscar, 2022. "Welfare regimes as enablers of just energy transitions: Revisiting and testing the hypothesis of synergy for Europe," Ecological Economics, Elsevier, vol. 197(C).
    11. Maria Jose Murcia & Pilar Acosta, 2023. "Accounting for Plural Cognitive Framings of Growth and Sustainability: Rethinking Management Education in Latin America," Journal of Business Ethics, Springer, vol. 185(2), pages 299-313, June.
    12. Ruault, Jean-François & Dupré la Tour, Alice & Evette, André & Allain, Sandrine & Callois, Jean-Marc, 2022. "A biodiversity-employment framework to protect biodiversity," Ecological Economics, Elsevier, vol. 191(C).
    13. Michael Jakob & William F. Lamb & Jan Christoph Steckel & Christian Flachsland & Ottmar Edenhofer, 2020. "Understanding different perspectives on economic growth and climate policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(6), November.

  32. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.

    Cited by:

    1. Zakaria Babutsidze, 2018. "The rise of electronic social networks and implications for advertisers," Post-Print hal-03471523, HAL.
    2. Feng, Nan & Ge, Jiamin, 2024. "How does fiscal policy affect the green low-carbon transition from the perspective of the evolutionary game?," Energy Economics, Elsevier, vol. 134(C).
    3. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    4. Diego d’Andria, 2019. "Tax policy and entrepreneurial entry with information asymmetry and learning," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(5), pages 1211-1229, October.
    5. Zhu, Jun & Zhang, Linling, 2022. "Evolutionary game analysis of the implementation of fiscal policy in resource-based cities," Resources Policy, Elsevier, vol. 76(C).
    6. Bilan, Yuriy & Oliinyk, Olena & Mishchuk, Halyna & Skare, Marinko, 2023. "Impact of information and communications technology on the development and use of knowledge," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

  33. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.

    Cited by:

    1. Ivan Savin, 2021. "On optimal regimes of knowledge exchange: a model of recombinant growth and firm networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 497-527, July.
    2. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    3. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Elona Marku & Manuel Castriotta & Michela Loi & Maria Chiara Di Guardo, 2021. "General Purpose Technology: The Blockchain Domain," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(11), pages 192-192, July.
    5. Liu, Yong & Du, Jun-liang & Yang, Jin-bi & Qian, Wu-yong & Forrest, Jeffrey Yi-Lin, 2019. "An incentive mechanism for general purpose technologies R&D based on the concept of super-conflict equilibrium: Empirical evidence from nano industrial technology in China," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 185-197.
    6. Zheng, Yuelong & Zhou, Bingjie & Hao, Chen & Gao, Ruize & Li, Mengya, 2024. "Evolutionary game analysis on the cross-organizational cooperative R&D strategy of general purpose technologies under two-way collaboration," Technology in Society, Elsevier, vol. 76(C).

  34. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    See citations under working paper version above.
  35. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.

    Cited by:

    1. Sana Ben Abdallah & Dhafer Saidane & Mihaly Petreczky, 2023. "Application of Robust Control for CSR Formalization and Stakeholders Interest," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 891-934, October.
    2. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.

  36. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
    See citations under working paper version above.
  37. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.

    Cited by:

    1. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    2. Hans M. Amman & Marco P. Tucci, 2020. "How Active is Active Learning: Value Function Method Versus an Approximation Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 675-693, October.
    3. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
    4. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
    5. Marco P. Tucci, 2021. "How Robust is Robust Control in Discrete Time?," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 279-309, August.
    6. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.
    7. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.

  38. Marson, Marta & Savin, Ivan, 2015. "Ensuring Sustainable Access to Drinking Water in Sub Saharan Africa: Conflict Between Financial and Social Objectives," World Development, Elsevier, vol. 76(C), pages 26-39.

    Cited by:

    1. Lisa Bagnoli & Salvador Bertomeu-Sanchez & Antonio Estache & Maria Vagliasindi, 2021. "Does the ownership of utilities matter for social outcomes? A survey of the evidence for developing countries," ULB Institutional Repository 2013/335116, ULB -- Universite Libre de Bruxelles.
    2. Frédéric Anderson Konkobo & Mamounata Diao & Paul Windinpsidi Savadogo & Roger Dakuyo & Noëlle Edwige Roamba & Sandrine Zongo & Mamoudou Hama Dicko, 2024. "Reduction of Malnutrition Related to Unsafe Water Consumption in Developing Countries: Potabilization of Surface Water and Traditional Well Water, with Plant Extracts," IJERPH, MDPI, vol. 21(5), pages 1-21, April.
    3. Antonio Estache, 2020. "Infrastructure “Privatization”: When Ideology Meets Evidence," Working Papers ECARES 2020-28, ULB -- Universite Libre de Bruxelles.
    4. Schwartz, Klaas & Tutusaus, Mireia & Savelli, Elisa, 2017. "Water for the urban poor: Balancing financial and social objectives through service differentiation in the Kenyan water sector," Utilities Policy, Elsevier, vol. 48(C), pages 22-31.
    5. Lisa Bagnoli & Salvador Bertomeu & Antonio Estache & Maria Vagliasindi, 2020. "Are the Poor Better Off with Public or Private Utilities ?A Survey of the Academic Evidence on Developing Economies," Working Papers ECARES 2020-24, ULB -- Universite Libre de Bruxelles.
    6. Beard, Victoria A. & Mitlin, Diana, 2021. "Water access in global South cities: The challenges of intermittency and affordability," World Development, Elsevier, vol. 147(C).
    7. Sosson Tadadjeu & Brice Kamguia & Ronald Djeunankan, 2023. "Access to drinking water and sanitation in developing countries: Does financial development matter?," International Review of Applied Economics, Taylor & Francis Journals, vol. 37(4), pages 457-481, July.
    8. Mohammed Aminu Sualihu & M. Arifur Rahman & Zakiya Tofik-Abu, 2017. "The Payment Behavior of Water Utility Customers in the Greater Accra Region of Ghana: An Empirical Analysis," SAGE Open, , vol. 7(3), pages 21582440177, September.
    9. Jonathan Chapman, 2020. "Extension of the Franchise and Government Expenditure on Public Goods: Evidence from Nineteenth-Century England," Working Papers 20200045, New York University Abu Dhabi, Department of Social Science, revised Mar 2020.
    10. Carlitz, Ruth D., 2017. "Money Flows, Water Trickles: Understanding Patterns of Decentralized Water Provision in Tanzania," World Development, Elsevier, vol. 93(C), pages 16-30.
    11. Cieslik, Katarzyna, 2016. "Moral Economy Meets Social Enterprise Community-Based Green Energy Project in Rural Burundi," World Development, Elsevier, vol. 83(C), pages 12-26.
    12. Daniel Camos-Daurella & Antonio Estache, 2017. "Regulating Water an Sanitation Network Services. Accounting for Institutional and Informational Constraints," Working Papers ECARES ECARES 2017-28, ULB -- Universite Libre de Bruxelles.

  39. Abiodun Egbetokun & Ivan Savin, 2014. "Absorptive capacity and innovation: when is it better to cooperate?," Journal of Evolutionary Economics, Springer, vol. 24(2), pages 399-420, April.
    See citations under working paper version above.
  40. Blueschke, D. & Blueschke-Nikolaeva, V. & Savin, I., 2013. "New insights into optimal control of nonlinear dynamic econometric models: Application of a heuristic approach," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 821-837.
    See citations under working paper version above.
  41. Ivan Savin & Peter Winker, 2013. "Heuristic model selection for leading indicators in Russia and Germany," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 67-89.
    See citations under working paper version above.
  42. Savin Ivan, 2013. "A Comparative Study of the Lasso-type and Heuristic Model Selection Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 526-549, August.
    See citations under working paper version above.
  43. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    See citations under working paper version above.
  44. Oleg Mariyev & Ivan Savin, 2010. "Factors of innovative activity in Russian regions: modeling and empirical analysis," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 235-244.

    Cited by:

    1. Egor Leonidovich Domnich, 2018. "About Innovative Component of Input and Output in Russian Industry," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 170-182.
    2. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    3. Pushkarev, A. A., 2018. "Cluster analysis of regional innovation activity in Russia in 2010-2015," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 4(1), pages 10-17.
    4. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.

  45. Ivan Savin & Peter Winker, 2009. "Forecasting Russian Foreign Trade Comparative Advantages in the Context of a Potential WTO Accession," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(2), pages 111-138, November.
    See citations under working paper version above.

Chapters

  1. Abiodun Egbetokun & Ivan Savin, 2015. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Economic Complexity and Evolution, in: Andreas Pyka & John Foster (ed.), The Evolution of Economic and Innovation Systems, edition 127, pages 373-399, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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