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Government Intervention and Automobile Industry Structure: Theory and Evidence from China

Author

Listed:
  • Lin Ma

    (School of Banking & Finance, University of International Business and Economics, Beijing 100029, China)

  • Qinchuan Du

    (Academy of Macroeconomic Research, National Development and Reform Commission, Beijing 100038, China)

  • Tian Wu

    (NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
    Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

The development of the automobile maintenance industry less developed to satisfy the increasing demand for automobile maintenance service as the automobile manufacturing industry increased rapidly in China. This is not conducive to the sustainable development of the automobile industry. Besides the factors of market behavior that can affect the automobile industry structure, like an investment, operation structure or economic development stage, the structure is also influenced by government intervention. We investigated the unbalanced development of automobile structure from the perspective of government incentives, and provide a logical framework for analyzing the industrial policies on the automobile industry. We first established a two-sector theoretical model with government intervention, and we found that the governments’ GDP incentive induced the biased intervention policy. More preferential policies are given to enterprises of automobile manufacturing industries as they contribute more to intermediate goods and capital. The greater the government’s GDP incentive, the more biased the intervention will be. Then we test the differential impact of GDP incentive on tax avoidance of the two kinds of firms empirically. The empirical results show that GDP incentive of the government induced more preferential treatment to automobile manufacturing enterprises, and thus, increased their tax avoidance. This phenomenon is more significant in SOEs, larger firms and firms belong to local governments. Understanding the incentive and implementation of industrial policy can help us know the evolution of automobile industrial structure better, and then improve industrial policy better to promote the transformation and upgrading of automobile industrial structure.

Suggested Citation

  • Lin Ma & Qinchuan Du & Tian Wu, 2019. "Government Intervention and Automobile Industry Structure: Theory and Evidence from China," Sustainability, MDPI, vol. 11(17), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4721-:d:262232
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    as
    1. Chang-Tai Hsieh & Zheng (Michael) Song, 2015. "Grasp the Large, Let Go of the Small: The Transformation of the State Sector in China," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 50(1 (Spring), pages 295-366.
    2. Margarida Duarte & Diego Restuccia, 2010. "The Role of the Structural Transformation in Aggregate Productivity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 129-173.
    3. Zhangkai Huang & Lixing Li & Guangrong Ma & Lixin Colin Xu, 2017. "Hayek, Local Information, and Commanding Heights: Decentralizing State-Owned Enterprises in China," American Economic Review, American Economic Association, vol. 107(8), pages 2455-2478, August.
    4. GAO Tianming & Anna Ivolga & Vasilii Erokhin, 2018. "Sustainable Rural Development in Northern China: Caught in a Vice between Poverty, Urban Attractions, and Migration," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    5. Philippe Aghion & Jing Cai & Mathias Dewatripont & Luosha Du & Ann Harrison & Patrick Legros, 2022. "Industrial Policy and Competition," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 15, pages 349-380, World Scientific Publishing Co. Pte. Ltd..
    6. Marco R. Di Tommaso & Mattia Tassinari & Stefano Bonnini & Marco Marozzi, 2017. "Industrial policy and manufacturing targeting in the US: new methodological tools for strategic policy-making," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(5), pages 681-703, September.
    7. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    8. Tian Wu & Hongmei Zhao & Xunmin Ou, 2014. "Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
    9. Daron Acemoglu & Mikhail Golosov & Aleh Tsyvinski, 2010. "Dynamic Mirrlees Taxation under Political Economy Constraints," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 841-881.
    10. Tian Wu & Mengbo Zhang & Xunmin Ou, 2014. "Analysis of Future Vehicle Energy Demand in China Based on a Gompertz Function Method and Computable General Equilibrium Model," Energies, MDPI, vol. 7(11), pages 1-29, November.
    11. Li, Hongbin & Zhou, Li-An, 2005. "Political turnover and economic performance: the incentive role of personnel control in China," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1743-1762, September.
    12. Acemoglu, Daron & Golosov, Mikhail & Tsyvinski, Aleh, 2011. "Political economy of Ramsey taxation," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 467-475, August.
    13. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    14. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 869-882.
    15. Mr. Sergio Rebelo & Ms. Piyabha Kongsamut & Danyang Xie, 2001. "Beyond Balanced Growth," IMF Working Papers 2001/085, International Monetary Fund.
    16. Chen, Shiyi & Jefferson, Gary H. & Zhang, Jun, 2011. "Structural change, productivity growth and industrial transformation in China," China Economic Review, Elsevier, vol. 22(1), pages 133-150, March.
    17. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    18. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    19. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    20. Robert E. Lucas, 2009. "Trade and the Diffusion of the Industrial Revolution," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 1-25, January.
    21. Chen, Xiao & Wu, Tian & Zheng, Rui & Guo, Xiaoxian, 2018. "How vehicle market is segmented and influenced by subsidy policy: A theoretical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 776-782.
    22. Syrquin, Moshe & Chenery, Hollis, 1989. "Three decades of industrialization," MPRA Paper 32771, University Library of Munich, Germany.
    23. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Alternative fuel buses currently in use in China: Life-cycle fossil energy use, GHG emissions and policy recommendations," Energy Policy, Elsevier, vol. 38(1), pages 406-418, January.
    24. Chang-Tai Hsieh & Zheng (Michael) Song, 2015. "Grasp the Large, Let Go of the Small: The Transformation of the State Sector in China," NBER Working Papers 21006, National Bureau of Economic Research, Inc.
    25. Joyce Dargay & Dermot Gately & Martin Sommer, 2007. "Vehicle Ownership and Income Growth, Worldwide: 1960-2030," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 143-170.
    26. Hongbin Cai & Qiao Liu, 2009. "Competition and Corporate Tax Avoidance: Evidence from Chinese Industrial Firms," Economic Journal, Royal Economic Society, vol. 119(537), pages 764-795, April.
    27. Lin, Chengtao & Wu, Tian & Ou, Xunmin & Zhang, Qian & Zhang, Xu & Zhang, Xiliang, 2013. "Life-cycle private costs of hybrid electric vehicles in the current Chinese market," Energy Policy, Elsevier, vol. 55(C), pages 501-510.
    28. Chang-Tai Hsieh & Zheng (Michael) Song, 2015. "Grasp the Large, Let Go of the Small: The Transformation of the State Sector in China," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 295-366.
    29. Takahiro Fujimoto, 2001. "The Japanese automobile parts supplier system: the triplet of effective inter-firm routines," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 1-34.
    30. Ou, Xunmin & Xiaoyu, Yan & Zhang, Xiliang, 2011. "Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China," Applied Energy, Elsevier, vol. 88(1), pages 289-297, January.
    31. John Weiss, 2018. "Implementing industrial policy: How to choose?," Oxford Development Studies, Taylor & Francis Journals, vol. 46(1), pages 71-82, January.
    32. Wu, Tian & Ma, Lin & Mao, Zhonggen & Ou, Xunmin, 2015. "Setting up charging electric stations within residential communities in current China: Gaming of government agencies and property management companies," Energy Policy, Elsevier, vol. 77(C), pages 216-226.
    33. Vasilii Erokhin, 2017. "Self-Sufficiency versus Security: How Trade Protectionism Challenges the Sustainability of the Food Supply in Russia," Sustainability, MDPI, vol. 9(11), pages 1-17, October.
    34. Lin Ma & Yuefan Zhai & Tian Wu, 2019. "Operating Charging Infrastructure in China to Achieve Sustainable Transportation: The Choice between Company-Owned and Franchised Structures," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
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