IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i5p1034-d325380.html
   My bibliography  Save this article

Modelling the Coevolution of the Fuel Ethanol Industry, Technology System, and Market System in China: A History-Friendly Model

Author

Listed:
  • Chao Bi

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Jingjing Zeng

    (School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Wanli Zhang

    (School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China)

  • Yonglin Wen

    (School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

The interaction among the fuel ethanol industry, the technology system, and the market system has a substantial effect on the growth of the fuel ethanol industry which plays a key role in the formation of a sustainable energy system in China. However, we know little about the relationships among them and it is difficult to explore the nexus using econometric method due to the lack of statistics on China’s fuel ethanol industry. This paper develops a history-friendly coevolutionary model to describe the relationships among the fuel ethanol industry, the technology system, and the market system in China. Based on the coevolutionary model, we further assess the impacts of entry regulations, production subsidies, R&D subsidies, and ethanol mandates on the growth of the fuel ethanol industry in China using a simulation method. The results of historical replication runs show that the model can appropriately reflect the multidirectional causalities between the fuel ethanol industry, the technology system, and the market system. We also found that entry regulation is conducive to weakening the negative economic impacts induced by the growth of the grain-based fuel ethanol industry without affecting the long-term total output of the industry; production subsidies to traditional technology firms are helpful for the expansion of the fuel ethanol industry, but they also impede technology transfer in the industry; only when firms inside the industry are not in the red can R&D subsidies promote technological progress and then further accelerate the growth of the fuel ethanol industry; the ethanol mandate has a significant impact on industrial expansion only when a production subsidy policy is implemented simultaneously. Our findings suggest that more attention could be paid to consider the cumulative effects caused by coevolutionary mechanisms when policymakers assess the effects of exogenous policies on the growth of the fuel ethanol industry. More attention also could be paid to the conditions under which these policies can work effectively.

Suggested Citation

  • Chao Bi & Jingjing Zeng & Wanli Zhang & Yonglin Wen, 2020. "Modelling the Coevolution of the Fuel Ethanol Industry, Technology System, and Market System in China: A History-Friendly Model," Energies, MDPI, vol. 13(5), pages 1-26, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1034-:d:325380
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/5/1034/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/5/1034/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Malerba,Franco & Nelson,Richard R. & Orsenigo,Luigi & Winter,Sidney G., 2016. "Innovation and the Evolution of Industries," Cambridge Books, Cambridge University Press, number 9781107641006.
    2. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2008. "Vertical integration and disintegration of computer firms: a history-friendly model of the coevolution of the computer and semiconductor industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(2), pages 197-231, April.
    3. Nelson,Richard R. & Dosi,Giovanni & Helfat,Constance E. & Pyka,Andreas & Saviotti,Pier Paolo & Lee,Keun, 2018. "Modern Evolutionary Economics," Cambridge Books, Cambridge University Press, number 9781108427432, September.
      • Nelson,Richard R. & Dosi,Giovanni & Helfat,Constance E. & Pyka,Andreas & Saviotti,Pier Paolo & Lee,Keun, 2018. "Modern Evolutionary Economics," Cambridge Books, Cambridge University Press, number 9781108446198, September.
    4. Fatas-Villafranca, Francisco & Jarne, Gloria & Sanchez-Choliz, Julio, 2009. "Industrial leadership in science-based industries: A co-evolution model," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 390-407, October.
    5. Tyner Wallace E., 2007. "Policy Alternatives for the Future Biofuels Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(2), pages 1-13, December.
    6. Christine Lasco & Madhu Khanna, 2010. "US–Brazil Trade in Biofuels: Determinants, Constraints, and Implications for Trade Policy," Natural Resource Management and Policy, in: Madhu Khanna & Jürgen Scheffran & David Zilberman (ed.), Handbook of Bioenergy Economics and Policy, chapter 0, pages 251-266, Springer.
    7. Perkis, David F. & Tyner, Wallace E. & Preckel, Paul V. & Brechbill, Sarah C., 2008. "Spatial optimization and economies of scale for cellulose to ethanol facilities in Indiana," Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48730, Farm Foundation.
    8. Ruth Offermann & Thilo Seidenberger & Daniela Thrän & Martin Kaltschmitt & Sergey Zinoviev & Stanislav Miertus, 2011. "Assessment of global bioenergy potentials," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(1), pages 103-115, January.
    9. Larson, James A. & English, Burton C. & He, Lixia, 2008. "Economic Analysis of Farm-Level Supply of Biomass Feedstocks for Energy Production Under Alternative Contract Scenarios and Risk," Integration of Agricultural and Energy Systems Conference, February 12-13, 2008, Atlanta, Georgia 48706, Farm Foundation.
    10. Johann Peter Murmann & Thomas Brenner, 2003. "The Use of Simulations in Developing Robust Knowledge about Causal Processes: Methodological Considerations and an Application to Industrial Evolution," Computing in Economics and Finance 2003 66, Society for Computational Economics.
    11. T. Brenner & P. Murmann, 2003. "The Use of Simulations in Developing," Papers on Economics and Evolution 2003-03, Philipps University Marburg, Department of Geography.
    12. Sidney Winter & Yuri Kaniovski & Giovanni Dosi, 2003. "A baseline model of industry evolution," Journal of Evolutionary Economics, Springer, vol. 13(4), pages 355-383, October.
    13. Gallagher, Paul W., 2006. "Energy Production with Biomass: What Are the Prospects," Staff General Research Papers Archive 12559, Iowa State University, Department of Economics.
    14. Mark Gehlhar & Agapi Somwaru & Peter B. Dixon & Maureen T. Rimmer & Ashley R. Winston, 2010. "Economywide Implications from US Bioenergy Expansion," American Economic Review, American Economic Association, vol. 100(2), pages 172-177, May.
    15. Furtado, André Tosi & Scandiffio, Mirna Ivonne Gaya & Cortez, Luis Augusto Barbosa, 2011. "The Brazilian sugarcane innovation system," Energy Policy, Elsevier, vol. 39(1), pages 156-166, January.
    16. Gallagher, Paul W., 2006. "Energy Production with Biomass: What Are the Prospects?," ISU General Staff Papers 200601010800001446, Iowa State University, Department of Economics.
    17. Ian Sheldon & Matthew Roberts, 2008. "U.S. Comparative Advantage in Bioenergy: A Heckscher-Ohlin-Ricardian Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1233-1238.
    18. Bastin, Cristina & Szklo, Alexandre & Rosa, Luiz Pinguelli, 2010. "Diffusion of new automotive technologies for improving energy efficiency in Brazil's light vehicle fleet," Energy Policy, Elsevier, vol. 38(7), pages 3586-3597, July.
    19. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2007. "Demand, innovation, and the dynamics of market structure: The role of experimental users and diverse preferences," Journal of Evolutionary Economics, Springer, vol. 17(4), pages 371-399, August.
    20. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    21. Tyner, Wallace E. & Thaeripour, Farzad, 2007. "Future biofuels policy alternatives," Biofuels, Food and Feed Tradeoffs Conference, April 12-13, 2007, St, Louis, Missouri 48777, Farm Foundation.
    22. Richard P. Nelson & Giovanni Dosi & Constance Helfat & Andreas Pyka & Pier-Paolo Saviotti & Keun Lee & Kurt Dopfer & Franco Malerba & Sidney Winter, 2018. "Modern evolutionary economics: an overview," Post-Print hal-02097506, HAL.
    23. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March.
    24. Baker, Mindy L. & Hayes, Dermot J. & Babcock, Bruce A., 2008. "Crop-Based Biofuel Production under Acreage Constraints and Uncertainty," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6352, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    25. Jan-Erik Petersen, 2008. "Energy production with agricultural biomass: environmental implications and analytical challenges-super- †," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 35(3), pages 385-408, September.
    26. Li, Daitian & Capone, Gianluca & Malerba, Franco, 2019. "The long march to catch-up: A history-friendly model of China’s mobile communications industry," Research Policy, Elsevier, vol. 48(3), pages 649-664.
    27. Christian Garavaglia & Franco Malerba & Luigi Orsenigo & Michele Pezzoni, 2013. "A Simulation Model of the Evolution of the Pharmaceutical Industry: A History-Friendly Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(4), pages 1-5.
    28. Gallagher, Paul W., 2006. "Energy Production with Biomass: What Are the Prospects?," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 21(1), pages 1-6.
    29. Franco Malerba & Luigi Orsenigo, 2002. "Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 667-703, August.
    30. Thompson, Wyatt & Meyer, Seth D. & Westhoff, Patrick C., 2008. "Policy risk for the biofuels industry," Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48727, Farm Foundation.
    31. Seungmo Kang & Hayri Önal & Yanfeng Ouyang & Jürgen Scheffran & Ü Deniz Tursun, 2010. "Optimizing the Biofuels Infrastructure: Transportation Networks and Biorefinery Locations in Illinois," Natural Resource Management and Policy, in: Madhu Khanna & Jürgen Scheffran & David Zilberman (ed.), Handbook of Bioenergy Economics and Policy, chapter 0, pages 151-173, Springer.
    32. E. Talamini & H. Dewes, 2012. "The macro-environment for liquid Biofuels in Brazilian science and public policies," Science and Public Policy, Oxford University Press, vol. 39(1), pages 13-29, January.
    33. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2001. "Competition and industrial policies in a 'history friendly' model of the evolution of the computer industry," International Journal of Industrial Organization, Elsevier, vol. 19(5), pages 635-664, April.
    34. Landini, Fabio & Lee, Keun & Malerba, Franco, 2017. "A history-friendly model of the successive changes in industrial leadership and the catch-up by latecomers," Research Policy, Elsevier, vol. 46(2), pages 431-446.
    35. Benjamin Senauer, 2008. "Food Market Effects of a Global Resource Shift Toward Bioenergy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1226-1232.
    36. Kallis, Giorgos & Norgaard, Richard B., 2010. "Coevolutionary ecological economics," Ecological Economics, Elsevier, vol. 69(4), pages 690-699, February.
    37. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    38. Dawid, Herbert, 2006. "Agent-based Models of Innovation and Technological Change," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 25, pages 1235-1272, Elsevier.
    39. Mengmeng Hao & Jingying Fu & Dong Jiang & Xiaoxi Yan & Shuai Chen & Fangyu Ding, 2018. "Sustainable Development of Sweet Sorghum-Based Fuel Ethanol from the Perspective of Water Resources in China," Sustainability, MDPI, vol. 10(10), pages 1-15, September.
    40. Gardner Bruce, 2007. "Fuel Ethanol Subsidies and Farm Price Support," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(2), pages 1-22, December.
    41. Burnes, Ellen & Wichelns, Dennis & Hagen, John W., 2005. "Economic and policy implications of public support for ethanol production in California's San Joaquin Valley," Energy Policy, Elsevier, vol. 33(9), pages 1155-1167, June.
    42. Sexton, Steven E. & Rajagopal, Deepak & Hochman, Gal & Roland-Holst, David W. & Zilberman, David, 2008. "Biofuel: distributional and other implications of current and the next generation technologies," Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48721, Farm Foundation.
    43. Chang-Wook Kim & Keun Lee, 2003. "Innovation, technological regimes and organizational selection in industry evolution: a 'history friendly model' of the DRAM industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(6), pages 1195-1221, December.
    44. Amigun, B. & Sigamoney, R. & von Blottnitz, H., 2008. "Commercialisation of biofuel industry in Africa: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 690-711, April.
    45. Thomas Brenner & Johann Peter Murmann, 2016. "Using simulation experiments to test historical explanations: the development of the German dye industry 1857-1913," Journal of Evolutionary Economics, Springer, vol. 26(4), pages 907-932, October.
    46. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(1), pages 3-40, March.
    47. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    48. Timilsina, Govinda R. & Csordás, Stefan & Mevel, Simon, 2011. "When does a carbon tax on fossil fuels stimulate biofuels?," Ecological Economics, Elsevier, vol. 70(12), pages 2400-2415.
    49. Seth Meyer & Julian Binfield & Patrick Westhoff, 2012. "Technology adoption under US biofuel policies: do producers, consumers or taxpayers benefit?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(1), pages 115-136, February.
    50. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    51. Zhang, Zibin & Wetzstein, Michael E., 2008. "New relationships: ethanol, corn, and gasoline volatility," Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48718, Farm Foundation.
    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. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    2. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    3. Peili Yu & Junguo Shi & Bert M. Sadowski & Önder Nomaler, 2020. "Catching Up in the Face of Technological Discontinuity: Exploring the Role of Demand Structure and Technological Regimes in the Transition from 2G to 3G in China," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 815-841, July.
    4. R. Fontana & L. Zirulia, 2015. "then came Cisco, and the rest is history : a history friendly model of the Local Area Networking industry," Working Papers wp993, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Roberto Fontana & Lorenzo Zirulia, 2015. "“…then came Cisco, and the rest is history”: a ‘history friendly’ model of the Local Area Networking industry," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 875-899, November.
    6. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    7. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.
    9. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    10. Li, Daitian & Capone, Gianluca & Malerba, Franco, 2019. "The long march to catch-up: A history-friendly model of China’s mobile communications industry," Research Policy, Elsevier, vol. 48(3), pages 649-664.
    11. Chang, Sungyong & Kim, Hyunseob & Song, Jaeyong & Lee, Keun, 2024. "Dynamics of imitation versus innovation in technological leadership change: Latecomers’ catch-up strategies in diverse technological regimes," Research Policy, Elsevier, vol. 53(9).
    12. Garavaglia Christian & Malerba Franco & Orsenigo Luigi & Pezzoni Michele, 2014. "Innovation and Market Structure in Pharmaceuticals: An Econometric Analysis on Simulated Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 274-298, April.
    13. Alessandro Caiani, 2017. "Innovation Dynamics and Industry Structure Under Different Technological Spaces," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 307-341, November.
    14. Christian Garavaglia & Franco Malerba & Luigi Orsenigo & Michele Pezzoni, 2013. "Technological Regimes and Demand Structure in the Evolution of the Pharmaceutical Industry," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 61-94, Springer.
    15. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    16. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    17. Thomas Brenner & Claudia Werker, 2006. "A Practical Guide to Inference in Simulation Models," Papers on Economics and Evolution 2006-02, Philipps University Marburg, Department of Geography.
    18. Herbert Dawid & Reinhold Decker & Thomas Hermann & Hermann Jahnke & Wilhelm Klat & Rolf König & Christian Stummer, 2017. "Management science in the era of smart consumer products: challenges and research perspectives," 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(1), pages 203-230, March.
    19. Claudia Werker & Thomas Brenner, 2004. "Empirical Calibration of Simulation Models," Papers on Economics and Evolution 2004-10, Philipps University Marburg, Department of Geography.
    20. Nicholas S. Argyres & Alfredo De Massis & Nicolai J. Foss & Federico Frattini & Geoffrey Jones & Brian S. Silverman, 2020. "History‐informed strategy research: The promise of history and historical research methods in advancing strategy scholarship," Strategic Management Journal, Wiley Blackwell, vol. 41(3), pages 343-368, March.

    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:gam:jeners:v:13:y:2020:i:5:p:1034-:d:325380. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.