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Examining the impact of factor price distortions and social welfare on innovation efficiency from the microdata of Chinese renewable energy industry

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  • Qiao, Sen
  • Chen, Hsing Hung
  • Zhang, Rong Rong

Abstract

The marketization of factor prices is not only an important component of pricing reforms but also a decisive determinant of innovation efficiency (IE). A good social welfare (SW) system attracts talent and affects the labor market. Thus, it is important to explore the impact of factor price distortions (FPDs) and SW on IE. Based on panel data on the Chinese renewable energy industry covering 2010–2019, this paper uses the Cobb-Douglas production function to calculate FPDs, adopts stochastic frontier analysis to measure IE, and then employs the sys-GMM method for empirical testing. The empirical results show the following: 1) FPDs can significantly inhibit IE. Furthermore, if FPDs are divided into capital (CPDs) and labor price distortions (LPDs), CPDs have a greater inhibitory effect on IE than LPDs. 2) SW has a significantly negative impact on IE. Moreover, if SW is divided into SOE social welfare (SSW) and non-SOE social welfare (NSSW) on the basis of the enterprise's ownership structure, SSW is significantly negatively related to IE, while NSSW is significantly positively related to IE. 3) The moderating effects of SSW have a significantly negative impact on the relationship between FPDs and IE, while the moderating effects of NSSW have a significantly positive impact on the relationship between FPDs and IE. Based on the above research results, this paper puts forward a series of policies to improve the IE of the renewable energy industry.

Suggested Citation

  • Qiao, Sen & Chen, Hsing Hung & Zhang, Rong Rong, 2021. "Examining the impact of factor price distortions and social welfare on innovation efficiency from the microdata of Chinese renewable energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
  • Handle: RePEc:eee:rensus:v:143:y:2021:i:c:s1364032121001957
    DOI: 10.1016/j.rser.2021.110901
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    References listed on IDEAS

    as
    1. Chang, Tzu-Pu & Hu, Jin-Li, 2010. "Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China," Applied Energy, Elsevier, vol. 87(10), pages 3262-3270, October.
    2. Marc Baudry & Béatrice Dumont, 2006. "Patent Renewals as Options: Improving the Mechanism for Weeding Out Lousy Patents," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 28(1), pages 41-62, February.
    3. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    4. Thomas Vendryes, 2011. "Migration constraints and development: Hukou and capital accumulation in China," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00783794, HAL.
    5. Dirk Czarnitzki, 2006. "Research And Development In Small And Medium‐Sized Enterprises: The Role Of Financial Constraints And Public Funding," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(3), pages 335-357, July.
    6. Trevor Tombe & Xiaodong Zhu, 2019. "Trade, Migration, and Productivity: A Quantitative Analysis of China," American Economic Review, American Economic Association, vol. 109(5), pages 1843-1872, May.
    7. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    8. Roberts, Russell D., 1992. "When does a decrease in a distortion increase welfare?," Economics Letters, Elsevier, vol. 39(1), pages 37-42, May.
    9. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.
    10. Elliott, Robert J.R. & Sun, Puyang & Chen, Siyang, 2013. "Energy intensity and foreign direct investment: A Chinese city-level study," Energy Economics, Elsevier, vol. 40(C), pages 484-494.
    11. Cai, Fang & Wang, Dewen & Du, Yang, 2002. "Regional disparity and economic growth in China: The impact of labor market distortions," China Economic Review, Elsevier, vol. 13(2-3), pages 197-212.
    12. Peiwen Bai & Wenli Cheng, 2016. "Labour misallocation in China: 1980--2010," Applied Economics, Taylor & Francis Journals, vol. 48(25), pages 2321-2332, May.
    13. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)," Energy Economics, Elsevier, vol. 34(3), pages 634-644.
    14. Chen, Shiyi & Lin, Bin, 2019. "Dual-track interest rates and capital misallocation," China Economic Review, Elsevier, vol. 57(C).
    15. Athukorala, Wasantha & Wilson, Clevo & Managi, Shunsuke & Karunarathna, Muditha, 2019. "Household demand for electricity: The role of market distortions and prices in competition policy," Energy Policy, Elsevier, vol. 134(C).
    16. Zhang, Yanfang & Nie, Rui & Shi, Xunpeng & Qian, Xiangyan & Wang, Ke, 2019. "Can energy-price regulations smooth price fluctuations? Evidence from China’s coal sector," Energy Policy, Elsevier, vol. 128(C), pages 125-135.
    17. Agénor, Pierre-Richard & Lim, King Yoong, 2018. "Unemployment, growth and welfare effects of labor market reforms," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 19-38.
    18. Yiping HUANG, 2010. "Dissecting the China Puzzle: Asymmetric Liberalization and Cost Distortion," Asian Economic Policy Review, Japan Center for Economic Research, vol. 5(2), pages 281-295, December.
    19. 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.
    20. Wei, Yu & Nan, Haoxi & Wei, Guiwu, 2020. "The impact of employee welfare on innovation performance: Evidence from China's manufacturing corporations," International Journal of Production Economics, Elsevier, vol. 228(C).
    21. Subramani, Lingesan & Parthasarathy, M. & Balasubramanian, Dhinesh & Ramalingam, KrishnaMoorthy, 2018. "Novel Garcinia gummi-gutta methyl ester (GGME) as a potential alternative feedstock for existing unmodified DI diesel engine," Renewable Energy, Elsevier, vol. 125(C), pages 568-577.
    22. Loren Brandt & Trevor Tombe & Xiadong Zhu, 2013. "Factor Market Distortions Across Time, Space, and Sectors in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 39-58, January.
    23. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    24. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    25. Vendryes, Thomas, 2011. "Migration constraints and development: Hukou and capital accumulation in China," China Economic Review, Elsevier, vol. 22(4), pages 669-692.
    26. Azadeh, A. & Amalnick, M.S. & Ghaderi, S.F. & Asadzadeh, S.M., 2007. "An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors," Energy Policy, Elsevier, vol. 35(7), pages 3792-3806, July.
    27. Loren Brandt & Trevor Tombe & Xiadong Zhu, 2013. "Factor Market Distortions Across Time, Space, and Sectors in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 39-58, January.
    28. Jian, Jianhui & Li, Huaqian & Meng, Leah & Zhao, Chunxiang, 2020. "Do policy burdens induce excessive managerial perks? Evidence from China’s stated-owned enterprises," Economic Modelling, Elsevier, vol. 90(C), pages 54-65.
    29. Pieters, Hannah & Swinnen, Johan, 2016. "Trading-off volatility and distortions? Food policy during price spikes," Food Policy, Elsevier, vol. 61(C), pages 27-39.
    30. Fagerberg, Jan & Srholec, Martin & Verspagen, Bart, 2010. "Innovation and Economic Development," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 833-872, Elsevier.
    31. Heathcote, Jonathan & Storesletten, Kjetil & Violante, Giovanni L., 2008. "Insurance and opportunities: A welfare analysis of labor market risk," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 501-525, April.
    32. Pi, Jiancai & Chen, Xuyang, 2016. "The impacts of capital market distortion on wage inequality, urban unemployment, and welfare in developing countries," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 103-115.
    33. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    34. von Schéele, Fabian & Haftor, Darek M. & Pashkevich, Natallia, 2020. "Cognitive time as a service price determinant: Hidden dynamics and price collapse," Journal of Business Research, Elsevier, vol. 112(C), pages 248-253.
    35. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    36. Danzer, Alexander M. & Grundke, Robert, 2020. "Export price shocks and rural labor markets: The role of labor market distortions," Journal of Development Economics, Elsevier, vol. 145(C).
    37. Emma L. Schultz & David T. Tan & Kathleen D. Walsh, 2010. "Endogeneity and the corporate governance - performance relation," Australian Journal of Management, Australian School of Business, vol. 35(2), pages 145-163, August.
    38. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    39. Sun, Kege & Wu, Libo, 2020. "Efficiency distortion of the power generation sector under the dual regulation of price and quantity in China," Energy Economics, Elsevier, vol. 86(C).
    40. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    41. Dierkes, Maik & Germer, Stephan & Sejdiu, Vulnet, 2020. "Probability distortion, asset prices, and economic growth," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    42. Steiner, Jakub & Stewart, Colin, 2015. "Price distortions under coarse reasoning with frequent trade," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 574-595.
    43. Spence, Michael, 1984. "Cost Reduction, Competition, and Industry Performance," Econometrica, Econometric Society, vol. 52(1), pages 101-121, January.
    44. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
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