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The Impact of Population Aging on Green Innovation: An Empirical Analysis Based on Inter-Provincial Data in China

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  • Yu Liu

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Mingde Jia

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

Abstract

China’s green innovation and green transformation is facing the uncertain challenge of an aging population. Based on provincial panel data from 2006 to 2019 in 30 provinces of China, this paper uses the threshold regression approach to test the green innovation effect of population aging. The following important conclusions are obtained through empirical analysis. First, population aging has a significant inhibiting effect on green innovation. This inhibition has shown an overall downward trend. Second, the green innovation effect of population aging has the characteristic of regional heterogeneity. The negative impact of population aging on green innovation in the western region shows a “U” shaped distribution with the deepening of population aging. The inflection point value of the “U” shape is 18.1%. The inhibitory effect of population aging on green innovation in the central region is higher than that in the eastern and western regions, with the degree of inhibitory effect reaching over 41%. The inhibitory effect of population aging on green innovation in the eastern region has obvious marginal decreasing characteristics. Third, the moderating mechanisms of different regional conditions are different. The green innovation effect of population aging is positive when the level of urbanization exceeds 70% and trade openness exceeds 1.1547. Green finance is also a positive moderator. However, population aging can negatively affect green innovation through environmental regulation and human capital channels. Thus, China should adopt supporting measures for green innovation market cultivation and green industry development, and enhance its green innovation capabilities through channels such as trade opening, urbanization and green finance.

Suggested Citation

  • Yu Liu & Mingde Jia, 2023. "The Impact of Population Aging on Green Innovation: An Empirical Analysis Based on Inter-Provincial Data in China," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3305-:d:1065006
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    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Andrea Bassanini & Luca Nunziata & Danielle Venn, 2009. "Job protection legislation and productivity growth in OECD countries [Appropriate growth policy: a unifying framework]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 24(58), pages 349-402.
    4. Rachel M. Friedberg, 1996. "The Impact of Mass Migration on the Israeli Labor Market," Working Papers 1996-28, Brown University, Department of Economics.
    5. Hoxha, Sergei & Kleinknecht, Alfred, 2020. "When labour market rigidities are useful for innovation. Evidence from German IAB firm-level data," Research Policy, Elsevier, vol. 49(7).
    6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    7. David E. Bloom & David Canning & Bryan Graham, 2003. "Longevity and Life‐cycle Savings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 105(3), pages 319-338, September.
    8. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).
    9. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    10. Klarin Tomislav, 2018. "The Concept of Sustainable Development: From its Beginning to the Contemporary Issues," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 21(1), pages 67-94, May.
    11. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    12. Prettner, Klaus & Bloom, David E. & Strulik, Holger, 2013. "Declining fertility and economic well-being: Do education and health ride to the rescue?," Labour Economics, Elsevier, vol. 22(C), pages 70-79.
    13. David M. Cutler & James M. Poterba & Louise M. Sheiner & Lawrence H. Summers, 1990. "An Aging Society: Opportunity or Challenge?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(1), pages 1-74.
    14. Earnhart, Dietrich, 2004. "Regulatory factors shaping environmental performance at publicly-owned treatment plants," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 655-681, July.
    15. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    16. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    17. Wachsen, Eva & Blind, Knut, 2016. "More labour market flexibility for more innovation? Evidence from employer–employee linked micro data," Research Policy, Elsevier, vol. 45(5), pages 941-950.
    18. Nicole Maestas & Kathleen J. Mullen & David Powell, 2023. "The Effect of Population Aging on Economic Growth, the Labor Force, and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 306-332, April.
    19. Daron Acemoglu, 2010. "When Does Labor Scarcity Encourage Innovation?," Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1037-1078.
    20. Kammerer, Daniel, 2009. "The effects of customer benefit and regulation on environmental product innovation.: Empirical evidence from appliance manufacturers in Germany," Ecological Economics, Elsevier, vol. 68(8-9), pages 2285-2295, June.
    21. repec:fth:harver:1490 is not listed on IDEAS
    22. Manolis Manioudis & Giorgos Meramveliotakis, 2022. "Broad strokes towards a grand theory in the analysis of sustainable development: a return to the classical political economy," New Political Economy, Taylor & Francis Journals, vol. 27(5), pages 866-878, September.
    23. Tan, Youchao & Liu, Xiumei & Sun, Hanwen & Zeng, Cheng(Colin), 2022. "Population ageing, labour market rigidity and corporate innovation: Evidence from China," Research Policy, Elsevier, vol. 51(2).
    24. Stucki, Tobias & Woerter, Martin & Arvanitis, Spyros & Peneder, Michael & Rammer, Christian, 2018. "How different policy instruments affect green product innovation: A differentiated perspective," Energy Policy, Elsevier, vol. 114(C), pages 245-261.
    25. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    26. Chen, Zhongfei & Zhang, Xiao & Chen, Fanglin, 2021. "Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    27. Cristiano Antonelli & Francesco Quatraro, 2014. "The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence," The Journal of Technology Transfer, Springer, vol. 39(2), pages 281-299, April.
    28. Cheng, Ya & Awan, Usama & Ahmad, Shabbir & Tan, Zhixiong, 2021. "How do technological innovation and fiscal decentralization affect the environment? A story of the fourth industrial revolution and sustainable growth," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    29. Scarpetta, Stefano & Tressel, Thierry, 2004. "Boosting productivity via innovation and adoption of new technologies : any role for labor market institutions?," Social Protection Discussion Papers and Notes 29144, The World Bank.
    30. Yu-Shan Chen & Shyh-Bao Lai & Chao-Tung Wen, 2006. "The Influence of Green Innovation Performance on Corporate Advantage in Taiwan," Journal of Business Ethics, Springer, vol. 67(4), pages 331-339, September.
    31. Miao, Cheng-lin & Duan, Meng-meng & Zuo, Yang & Wu, Xin-yu, 2021. "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces," Energy Policy, Elsevier, vol. 156(C).
    32. Sascha Kraus & Matthias Breier & Sonia Dasí-Rodríguez, 2020. "The art of crafting a systematic literature review in entrepreneurship research," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 1023-1042, September.
    33. Fang, Zhen & Razzaq, Asif & Mohsin, Muhammad & Irfan, Muhammad, 2022. "Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China," Technology in Society, Elsevier, vol. 68(C).
    34. Gordo, Laura Romeu & Skirbekk, Vegard, 2013. "Skill demand and the comparative advantage of age: Jobs tasks and earnings from the 1980s to the 2000s in Germany," Labour Economics, Elsevier, vol. 22(C), pages 61-69.
    35. Kiyohiko G. Nishimura & Kazunori Minetaki & Masato Shirai & Futoshi Kurokawa, 2002. "Effects of Information Technology and Aging Work Force on Labor Demand and Technological Progress in Japanese Industries: 1980-1998," CIRJE F-Series CIRJE-F-145, CIRJE, Faculty of Economics, University of Tokyo.
    36. Xiongfeng Pan & Jing Zhang & Changyu Li & Rong Quan & Bin Li, 2018. "Exploring Dynamic Impact of Foreign Direct Investment on China’s CO $$_{2}$$ 2 Emissions Using Markov-Switching Vector Error Correction Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1139-1151, December.
    37. Nicole Maestas & Kathleen J. Mullen & David Powell, 2016. "The Effect of Population Aging on Economic Growth, the Labor Force and Productivity," NBER Working Papers 22452, National Bureau of Economic Research, Inc.
    38. Clarke-Sather, Afton & Qu, Jiansheng & Wang, Qin & Zeng, Jingjing & Li, Yan, 2011. "Carbon inequality at the sub-national scale: A case study of provincial-level inequality in CO2 emissions in China 1997-2007," Energy Policy, Elsevier, vol. 39(9), pages 5420-5428, September.
    39. Yang, Xiaolei & He, Lingyun & Xia, Yufei & Chen, Yufeng, 2019. "Effect of government subsidies on renewable energy investments: The threshold effect," Energy Policy, Elsevier, vol. 132(C), pages 156-166.
    40. Rachel M. Friedberg, 2001. "The Impact of Mass Migration on the Israeli Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1373-1408.
    41. Jakob Madsen & Richard Damania, 2001. "Labour Demand and Wage-induced Innovations: Evidence from the OECD countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(3), pages 323-334.
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