Spatial coupling coordination and interactive response between green finance and green total factor productivity: geographical analysis based on Chinese provinces, 2010-2020.

Lingui Qin, Songqi Liu, Yi Wang, Hengyu Gu, Tiyan Shen
Author Information
  1. Lingui Qin: School of Economics and Management, Shenyang Agricultural University, Shenyang, 110866, China.
  2. Songqi Liu: School of Economics and Management, Shenyang Agricultural University, Shenyang, 110866, China.
  3. Yi Wang: School of Economics and Management, Shenyang Agricultural University, Shenyang, 110866, China.
  4. Hengyu Gu: School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China. hygu@nju.edu.cn. ORCID
  5. Tiyan Shen: School of Government, Peking University, Beijing, 100871, China.

Abstract

Based on the panel data of 30 provinces in China from 2010 to 2020, this study uses the coupling coordination degree model (CCDM), spatial autocorrelation analysis, and the panel vector autoregression (PVAR) model to quantitatively examine the dynamic coordination and interactive response of green finance (GF) and green total factor productivity (GTFP). The results show that the coupling coordination degree (CCD) between GF and GTFP during the study period shows an overall increasing trend and significant regional differentiation and remains at the medium level, indicating large room for improvement. The CCDs of provinces fluctuate between the low and high types. The distribution gradually shifts from a "high in the south and low in the north" pattern to a "high in the east and low in the west" configuration. The spatial difference of coupling development continues to expand and presents a significant spatial positive correlation. In addition, GF and GTFP in China exhibit significant self-reinforcing characteristics, but the reinforcing effect gradually decreases. There is only a unidirectional interaction relationship between GF and GTFP, which is GF actively fosters the advancement of GTFP, while the influence of GTFP on GF appears less pronounced. This research provides comprehensive insights into the dynamic interaction between GF and GTFP.

Keywords

References

  1. Chen X, Chen ZG (2021) Can green finance development reduce carbon emissions? Empirical evidence from 30 Chinese provinces. Sustainability 13(21):12137. https://doi.org/10.3390/su132112137 [DOI: 10.3390/su132112137]
  2. Chen CF, Lan QX, Gao M et al (2018) Green total factor productivity growth and its determinants in China���s industrial economy. Sustainability 10(4):1052. https://doi.org/10.3390/su10041052 [DOI: 10.3390/su10041052]
  3. Feng YC, Liang Z (2022) How does green credit policy affect total factor productivity of the manufacturing firms in China? The mediating role of debt financing and the moderating role of environmental regulation. Environ Sci Pollut Res 1���17. https://doi.org/10.1007/s11356-021-17984-4
  4. Gu H, Meng X, Shen T et al (2020a) China���s highly educated talents in 2015: patterns determinants and spatial spillover effects. Appl Spat Anal 13(3):631���648. https://doi.org/10.1007/s12061-019-09322-6
  5. Gu H, Liu Z, Shen T (2020b) Spatial pattern and determinants of migrant workers' interprovincial hukou transfer intention in China: evidence from a national migrant population dynamic monitoring survey in 2016. Popul Space Place 26(2):e2250. https://doi.org/10.1002/psp.2250
  6. Guan J, Su L (2021) Influence of government economic competition on green high-quality development under dual environmental regulations. China Environ Sci 41(11):5416���5426. https://doi.org/10.19674/j.cnki.issn1000-6923.20210707.001 [DOI: 10.19674/j.cnki.issn1000-6923.20210707.001]
  7. Guo JF, Zhang K, Liu KC (2022) Exploring the mechanism of the impact of green finance and digital economy on China���s green total factor productivity. Int J Environ Res Public Health 19(23):16303. https://doi.org/10.3390/ijerph192316303 [DOI: 10.3390/ijerph192316303]
  8. Guo W, Zeng XX (2021) Does green credit boost industrial green total factor productivity? Empirical research based on spatial Durbin model. Econ Probl (8) 44���55. https://doi.org/10.16011/j.cnki.jjwt.2021.08.006
  9. Holtz-Eakin D, Newey W, Rosen HS (1988) Estimating vector autoregressions with panel data. Econometrica: Journal of the Econometric Society: 1371-1395. https://doi.org/10.2307/1913103
  10. Hu GQ, Wang XQ, Wang Y (2021) Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China. Energy Econ 98:105134. https://doi.org/10.1016/j.eneco.2021.105134 [DOI: 10.1016/j.eneco.2021.105134]
  11. Hu QQ, Li X, Feng YH (2022) Do green credit affect green total factor productivity? Empirical evidence from China. Front Energy Res 9:821242. https://doi.org/10.3389/fenrg.2021.821242 [DOI: 10.3389/fenrg.2021.821242]
  12. Lee CC, Lee CC (2022) How does green finance affect green total factor productivity? Evidence from China. Energy Econ 107:105863. https://doi.org/10.1016/j.eneco.2022.105863 [DOI: 10.1016/j.eneco.2022.105863]
  13. Li XL, Yang XJ, Wei Q et al (2019) Authoritarian environmentalism and environmental policy implementation in China. Resour Conserv Recycl 145:86���93. https://doi.org/10.1016/j.resconrec.2019.02.011 [DOI: 10.1016/j.resconrec.2019.02.011]
  14. Li HP, Chen C, Umair M (2023) Green finance, enterprise energy efficiency, and green total factor productivity: evidence from China. Sustainability 15(14):11065. https://doi.org/10.3390/su151411065 [DOI: 10.3390/su151411065]
  15. Lian YH, Gao JY, Ye T (2022) How does green credit affect the financial performance of commercial banks?���evidence from China. J Clean Prod 344:131069. https://doi.org/10.1016/j.jclepro.2022.131069 [DOI: 10.1016/j.jclepro.2022.131069]
  16. Liu YH, Lei J, Zhang YH (2021) A study on the sustainable relationship among the green finance, environment regulation and green-total-factor productivity in China. Sustainability 13(21):11926. https://doi.org/10.3390/su132111926 [DOI: 10.3390/su132111926]
  17. Liu CJ, Zhang SH, Li X (2022) Has green credit policy boosted green total factor productivity in China���s heavily polluting industries?. Stud Int Finance (4):3���11. https://doi.org/10.16475/j.cnki.1006-1029.2022.04.009
  18. Shi DM, Shi XY (2022) Green finance and high-quality economic development: mechanism, characteristics and empirical study. Stati Res 39(1):31���48. https://doi.org/10.19343/j.cnki11-1302/c.2022.01.003 [DOI: 10.19343/j.cnki11-1302/c.2022.01.003]
  19. Shih H, Shyur H, Lee ES (2007) An extension of TOPSIS for group decision making. Math Comput Model 45(7���8):801���813. https://doi.org/10.1016/j.mcm.2006.03.023 [DOI: 10.1016/j.mcm.2006.03.023]
  20. Song ML, Du JT, Tan KH (2018) Impact of fiscal decentralization on green total factor productivity. Int J Prod Econ 205:359���367. https://doi.org/10.1016/j.ijpe.2018.09.019 [DOI: 10.1016/j.ijpe.2018.09.019]
  21. Tone K, Tsutsui M (2010) An epsilon-based measure of efficiency in DEA���a third pole of technical efficiency. Eur J Oper Res 207(3):1554���1563. https://doi.org/10.1016/j.ejor.2010.07.014 [DOI: 10.1016/j.ejor.2010.07.014]
  22. Wang WJ, Li YXY (2022) Can green finance promote the optimization and upgrading of industrial structures?���based on the intermediary perspective of technological progress. Front Environ Sci 10:919950. https://doi.org/10.3389/fenvs.2022.919950 [DOI: 10.3389/fenvs.2022.919950]
  23. Wang GM, Salman M (2023) The driving influence of multidimensional urbanization on green total factor productivity in China: evidence from spatiotemporal analysis. Environ Sci Pollut Res 30(18):52026���52048. https://doi.org/10.1007/s11356-023-25864-2 [DOI: 10.1007/s11356-023-25864-2]
  24. Wang HR, Cui HR, Zhao QZ (2021) Effect of green technology innovation on green total factor productivity in China: evidence from spatial durbin model analysis. J Clean Prod 288:125624. https://doi.org/10.1016/j.jclepro.2020.125624 [DOI: 10.1016/j.jclepro.2020.125624]
  25. Wang B, Wang Y, Cheng XQ, et al (2023) Green finance, energy structure, and environmental pollution: evidence from a spatial econometric approach. Environ Sci Pollut Res 1���17. https://doi.org/10.1007/s11356-023-27427-x
  26. Xie DJ, Hu SH (2023) Green finance, maturity mismatch and green total factor productivity. Soft Sci 37(6):56���62. https://doi.org/10.13956/j.ss.1001-8409.2023.06.08 [DOI: 10.13956/j.ss.1001-8409.2023.06.08]
  27. Xie HL, Ouyang ZY, Choi Y (2020) Characteristics and influencing factors of green finance development in the Yangtze river delta of China: analysis based on the spatial durbin model. Sustainability 12(22):9753. https://doi.org/10.3390/su12229753 [DOI: 10.3390/su12229753]
  28. Xie R, Fu W, Yao SL et al (2021) Effects of financial agglomeration on green total factor productivity in Chinese cities: insights from an empirical spatial Durbin model. Energy Econ 101:105449. https://doi.org/10.1016/j.eneco.2021.105449 [DOI: 10.1016/j.eneco.2021.105449]
  29. Xu K, Zhao PY (2023) Does green finance promote green total factor productivity? Empirical evidence from China. Sustainability 15(14):11204. https://doi.org/10.3390/su151411204 [DOI: 10.3390/su151411204]
  30. Yin ZB, Sun XQ, Xing MY (2021) Research on the impact of green finance development on green total factor productivity. Stat Decis 37(3):139���144. https://doi.org/10.13546/j.cnki.tjyjc.2021.03.030 [DOI: 10.13546/j.cnki.tjyjc.2021.03.030]
  31. Zhang DY (2021) Green credit regulation, induced R&D and green productivity: revisiting the Porter hypothesis. Int Rev Financ Anal 75:101723. https://doi.org/10.1016/j.irfa.2021.101723 [DOI: 10.1016/j.irfa.2021.101723]
  32. Zhang J, Wu GY, Zhang JP (2004) The estimation of China���s provincial capital stock: 1952���2000. Econ Res J 10:35���44
  33. Zhang HF, Wang YX, Li R et al (2023a) Can green finance promote urban green development? Evidence from green finance reform and innovation pilot zone in China. Environ Sci Pollut Res 30(5):12041���12058. https://doi.org/10.1007/s11356-022-22886-0 [DOI: 10.1007/s11356-022-22886-0]
  34. Zhang N, Sun JH, Tang Y et al (2023b) How do green finance and green technology innovation impact the Yangtze River economic belt���s industrial structure upgrading in China? A moderated mediation effect model based on provincial panel data. Sustainability 15(3):2289. https://doi.org/10.3390/su15032289 [DOI: 10.3390/su15032289]
  35. Zhao X, Nakonieczny J, Jabeen F et al (2022) Does green innovation induce green total factor productivity? Novel findings from Chinese city level data. Technol Forecast Soc Chang 185:122021. https://doi.org/10.1016/j.techfore.2022.122021 [DOI: 10.1016/j.techfore.2022.122021]

Grants

  1. 21CJY026/National Social Science Fund of China

MeSH Term

China
Economic Development
Efficiency
Spatial Analysis