IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v52y2020icp328-343.html
   My bibliography  Save this article

Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD

Author

Listed:
  • Chakraborty, Saptorshee Kanto
  • Mazzanti, Massimiliano

Abstract

Over the recent years, there has been evidence of a decline in energy intensity worldwide. Most of this decline was industry or sector specific. The main aim of the quantitative analysis is to enhance the understanding of how green energy innovative activities are entangled with energy intensity in the OECD through models that take into account heterogeneity and serial correlation. The existing literature does not fully address this country related heterogeneity in either the short- or long-run scales. We use some specific estimators that address those key econometric issues. The analysis specifically focuses on the dynamics of green energy innovation and finds the existence of both short-term and long-term relationships between energy intensity and green energy innovative activities, though this relationship loses its significance over time.

Suggested Citation

  • Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
  • Handle: RePEc:eee:streco:v:52:y:2020:i:c:p:328-343
    DOI: 10.1016/j.strueco.2019.12.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X19301626
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2019.12.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    2. Massimiliano Mazzanti & Davide Antonioli & Claudia Ghisetti & Francesco Nicolli, 2016. "Firm Surveys relating Environmental Policies, Environmental Performance and Innovation: Design Challenges and insights from Empirical Application," OECD Environment Working Papers 103, OECD Publishing.
    3. Rennings, Klaus, 2000. "Redefining innovation -- eco-innovation research and the contribution from ecological economics," Ecological Economics, Elsevier, vol. 32(2), pages 319-332, February.
    4. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2017. "Testing for Panel Cointegration Using Common Correlated Effects Estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 610-636, July.
    5. Giulio Cainelli & Massimiliano Mazzanti & Sandro Montresor, 2012. "Environmental Innovations, Local Networks and Internationalization," Industry and Innovation, Taylor & Francis Journals, vol. 19(8), pages 697-734, November.
    6. Verdolini, Elena & Galeotti, Marzio, 2011. "At home and abroad: An empirical analysis of innovation and diffusion in energy technologies," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
    7. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    8. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    9. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    10. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    11. Wurlod, Jules-Daniel & Noailly, Joëlle, 2018. "The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries," Energy Economics, Elsevier, vol. 71(C), pages 47-61.
    12. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016. "Exponent of Cross‐Sectional Dependence: Estimation and Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
    13. David Popp, 2019. "Environmental policy and innovation: a decade of research," CESifo Working Paper Series 7544, CESifo.
    14. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980, Decembrie.
    15. Noailly, Joëlle & Batrakova, Svetlana, 2010. "Stimulating energy-efficient innovations in the Dutch building sector: Empirical evidence from patent counts and policy lessons," Energy Policy, Elsevier, vol. 38(12), pages 7803-7817, December.
    16. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    17. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    18. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    19. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    20. Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Do sovereign wealth funds dampen the negative effects of commodity price volatility?," Journal of Commodity Markets, Elsevier, vol. 8(C), pages 18-27.
    21. Hoppmann, Joern & Peters, Michael & Schneider, Malte & Hoffmann, Volker H., 2013. "The two faces of market support—How deployment policies affect technological exploration and exploitation in the solar photovoltaic industry," Research Policy, Elsevier, vol. 42(4), pages 989-1003.
    22. Quah, Danny, 1994. "Exploiting cross-section variation for unit root inference in dynamic data," Economics Letters, Elsevier, vol. 44(1-2), pages 9-19.
    23. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    24. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    25. Popp, David & Hascic, Ivan & Medhi, Neelakshi, 2011. "Technology and the diffusion of renewable energy," Energy Economics, Elsevier, vol. 33(4), pages 648-662, July.
    26. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    27. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    28. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    29. Hart, Rob, 2004. "Growth, environment and innovation--a model with production vintages and environmentally oriented research," Journal of Environmental Economics and Management, Elsevier, vol. 48(3), pages 1078-1098, November.
    30. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2016. "Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors," Advances in Econometrics, in: Essays in Honor of man Ullah, volume 36, pages 85-135, Emerald Group Publishing Limited.
    31. Cainelli, Giulio & D’Amato, Alessio & Mazzanti, Massimiliano, 2015. "Adoption of waste-reducing technology in manufacturing: Regional factors and policy issues," Resource and Energy Economics, Elsevier, vol. 39(C), pages 53-67.
    32. Anindya Banerjee & Juan Dolado & Ricardo Mestre, 1998. "Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 267-283, May.
    33. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    34. Bai, Jushan & Ng, Serena, 2010. "Panel Unit Root Tests With Cross-Section Dependence: A Further Investigation," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1088-1114, August.
    35. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    36. Lanjouw, Jean Olson & Mody, Ashoka, 1996. "Innovation and the international diffusion of environmentally responsive technology," Research Policy, Elsevier, vol. 25(4), pages 549-571, June.
    37. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    38. Borrás, Susana & Edquist, Charles, 2013. "The choice of innovation policy instruments," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1513-1522.
    39. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2013. "Debt, inflation and growth robust estimation of long-run effects in dynamic panel data models," Globalization Institute Working Papers 162, Federal Reserve Bank of Dallas.
    40. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    41. Popp, David, 2019. "Environmental Policy and Innovation: A Decade of Research," International Review of Environmental and Resource Economics, now publishers, vol. 13(3-4), pages 265-337, September.
    42. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    43. Popp, David, 2006. "International innovation and diffusion of air pollution control technologies: the effects of NOX and SO2 regulation in the US, Japan, and Germany," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 46-71, January.
    44. Joakim Westerlund & Jörg Breitung, 2013. "Lessons from a Decade of IPS and LLC," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 547-591, August.
    45. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    46. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    47. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    48. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    49. Philippe Aghion & Stefan Bechtold & Lea Cassar & Holger Herz, 2018. "The Causal Effects of Competition on Innovation: Experimental Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(2), pages 162-195.
    50. Luciano Lopez & Sylvain Weber, 2017. "Testing for Granger causality in panel data," Stata Journal, StataCorp LP, vol. 17(4), pages 972-984, December.
    51. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    52. Massimiliano Mazzanti, 2018. "Eco-innovation and sustainability: dynamic trends, geography and policies," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(11), pages 1851-1860, September.
    53. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    54. Nicolò Barbieri & Claudia Ghisetti & Marianna Gilli & Giovanni Marin & Francesco Nicolli, 2016. "A Survey Of The Literature On Environmental Innovation Based On Main Path Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 596-623, July.
    55. Mazzanti, Massimiliano & Rizzo, Ugo, 2017. "Diversely moving towards a green economy: Techno-organisational decarbonisation trajectories and environmental policy in EU sectors," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 111-116.
    56. Nick Johnstone & Ivan Haščič & Julie Poirier & Marion Hemar & Christian Michel, 2012. "Environmental policy stringency and technological innovation: evidence from survey data and patent counts," Applied Economics, Taylor & Francis Journals, vol. 44(17), pages 2157-2170, June.
    57. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    58. David Popp, 2019. "Environmental Policy and Innovation: A Decade of Research," NBER Working Papers 25631, National Bureau of Economic Research, Inc.
    59. Noailly, Joëlle, 2012. "Improving the energy efficiency of buildings: The impact of environmental policy on technological innovation," Energy Economics, Elsevier, vol. 34(3), pages 795-806.
    60. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    61. Jan Ditzen, 2018. "Estimating dynamic common-correlated effects in Stata," Stata Journal, StataCorp LP, vol. 18(3), pages 585-617, September.
    62. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    63. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    64. Paul Ekins, 2010. "Eco-innovation for environmental sustainability: concepts, progress and policies," International Economics and Economic Policy, Springer, vol. 7(2), pages 267-290, August.
    65. René Kemp, 2010. "Eco-innovation: Definition, Measurement and Open Research Issues," Economia politica, Società editrice il Mulino, issue 3, pages 397-420.
    66. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    67. Barbier, Edward B., 2010. "Poverty, development, and environment," Environment and Development Economics, Cambridge University Press, vol. 15(6), pages 635-660, December.
    68. Sovacool, Benjamin K., 2009. "The importance of comprehensiveness in renewable electricity and energy-efficiency policy," Energy Policy, Elsevier, vol. 37(4), pages 1529-1541, April.
    69. Damiaan Persyn & Joakim Westerlund, 2008. "Error-correction–based cointegration tests for panel data," Stata Journal, StataCorp LP, vol. 8(2), pages 232-241, June.
    70. Kitzing, Lena & Mitchell, Catherine & Morthorst, Poul Erik, 2012. "Renewable energy policies in Europe: Converging or diverging?," Energy Policy, Elsevier, vol. 51(C), pages 192-201.
    71. Bleda, Mercedes & del Río, Pablo, 2013. "The market failure and the systemic failure rationales in technological innovation systems," Research Policy, Elsevier, vol. 42(5), pages 1039-1052.
    72. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    73. Coenen, Lars & Díaz López, Fernando J, 2009. "Comparing systems approaches to innovation and technological change for sustainable and competitive economies: an explorative study into conceptual commonalities, differences and complementarities," Papers in Innovation Studies 2009/12, Lund University, CIRCLE - Centre for Innovation Research.
    74. René Kemp, 1997. "Environmental Policy and Technical Change," Books, Edward Elgar Publishing, number 1187, December.
    75. Westerlund, Joakim & Urbain, Jean-Pierre, 2015. "Cross-sectional averages versus principal components," Journal of Econometrics, Elsevier, vol. 185(2), pages 372-377.
    76. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    77. Yanchun Chen & Botang Han & Wenmei Liu, 2016. "Green technology innovation and energy intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 317-332, November.
    78. Brunnermeier, Smita B. & Cohen, Mark A., 2003. "Determinants of environmental innovation in US manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 278-293, March.
    79. Wancong Fu & Chong Li & Jan Ondrich & David Popp, 2018. "Technological Spillover Effects of State Renewable Energy Policy: Evidence from Patent Counts," NBER Working Papers 25390, National Bureau of Economic Research, Inc.
    80. Marius Ley, Tobias Stucki, and Martin Woerter, 2016. "The Impact of Energy Prices on Green Innovation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    81. Pesaran, M. Hashem, 2012. "On the interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 116(3), pages 545-546.
    82. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    83. Giovanni Marin & Massimiliano Mazzanti, 2013. "The evolution of environmental and labor productivity dynamics," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 357-399, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    2. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    4. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    5. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    6. Trofimov, Ivan D., 2020. "Is There a J-Curve Effect in the Services Trade in Canada? A Panel Data Analysis," MPRA Paper 106704, University Library of Munich, Germany.
    7. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    8. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    9. Trofimov, Ivan D., 2020. "Public capital and productive economy profits: evidence from OECD economies," MPRA Paper 106848, University Library of Munich, Germany.
    10. Zeeshan Arshad & Margarita Robaina & Anabela Botelho, 2020. "Renewable and Non-renewable Energy, Economic Growth and Natural Resources Impact on Environmental Quality: Empirical Evidence from South and Southeast Asian Countries with CS-ARDL Modeling," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 368-383.
    11. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    12. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    13. Feng, Siyu & Lazkano, Itziar, 2022. "Innovation trends in electricity storage: What drives global innovation?," Energy Policy, Elsevier, vol. 167(C).
    14. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.
    15. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).
    16. Mitch Kunce, 2023. "Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence," Bulletin of Applied Economics, Risk Market Journals, vol. 10(1), pages 1-19.
    17. Fang, Zheng & Chang, Youngho, 2016. "Energy, human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 56(C), pages 177-184.
    18. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    19. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    20. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:streco:v:52:y:2020:i:c:p:328-343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/525148 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.