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Tytuł artykułu

Supervised Credit, Government Strategies and Green Development: Evidence from China

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Warianty tytułu
Nadzorowany kredyt, strategie rządowe i zielony rozwój: przykład Chin
Języki publikacji
EN
Abstrakty
EN
This study examines the relationship between supervised credit (SC), government strategies, and green development (GD) utilizing the instrumental variable two-stage least squares (IV-2SLS) and spatial econometric model and panel data from 30 provinces and cities in China from 2006 to 2020. The study reached the following main results. First, untrustworthy punishment and trustworthy incentives promote the environmental protection through optimal allocation of supervised resources, which can be positively regulated by the government transformation. Second, beggar-thy-neighbor and free rider can be found in government environmental SC. Strengthening punishment in neighboring regions will have a negative effect on the local GD, whereas increasing incentives will have the opposite effect. Third, strategic interactions among various governmental sections have varying effects on GD. The eastern regions implement difference-based promotion for trustworthy incentives and ineffective imitation for untrustworthy punishment. The central and western regions, on the other hand, use ineffective imitation for trustworthy incentives and inhibiting imitation for untrustworthy punishment, the eastern regions implement ineffective imitation and the central and western regions execute inhibiting imitation. Finally, when R&D investment exceeds a certain threshold, but the industrial structure is lower, the untrustworthy punishment can play its promoting role; otherwise, the trustworthy incentives will turn over. The study findings reveal the unique mechanism of SC and provides new impetus regional policymakers to promote sustainable GD.
PL
Niniejsze badanie analizuje związek między nadzorowanym kredytem (SC), strategiami rządowymi i zielonym rozwojem (GD) z wykorzystaniem zmiennej instrumentalnej dwustopniowej metody najmniejszych kwadratów (IV-2SLS) oraz przestrzennego modelu ekonometrycznego i danych panelowych z 30 prowincji i miast w Chinach od 2006 do 2020. W badaniu osiągnięto następujące główne wyniki. Po pierwsze, niegodne zaufania kary i wiarygodne zachęty sprzyjają ochronie środowiska poprzez optymalną alokację nadzorowanych środków, co może być pozytywnie uregulowane przez transformację rządową. Po drugie, żebraka-sąsiada i swobodnego jeźdźca można znaleźć w rządowym środowisku SC. Wzmocnienie kary w sąsiednich regionach będzie miało negatywny wpływ na lokalną GD, podczas gdy zwiększenie zachęt będzie miało odwrotny skutek. Po trzecie, strategiczne interakcje między różnymi sekcjami rządowymi mają różny wpływ na GD. Regiony wschodnie stosują promocję opartą na różnicach w przypadku godnych zaufania zachęt i nieskuteczną imitację w przypadku niegodnych zaufania kar. Z drugiej strony regiony centralne i zachodnie stosują nieskuteczne naśladownictwo w przypadku godnych zaufania zachęt i wstrzymywanie naśladowania w przypadku niegodnych zaufania kar, regiony wschodnie wdrażają nieskuteczne naśladownictwo, a regiony centralne i zachodnie wstrzymywanie naśladowania. Wreszcie, gdy inwestycje w badania i rozwój przekraczają określony próg, ale struktura przemysłowa jest niższa, niegodna zaufania kara może odgrywać rolę promocyjną; w przeciwnym razie godne zaufania zachęty się odwrócą. Wyniki badań ujawniają unikalny mechanizm SC i dostarczają nowego impulsu regionalnym decydentom do promowania zrównoważonego GD.
Czasopismo
Rocznik
Strony
216--228
Opis fizyczny
Bibliogr. 33 poz., tab.
Twórcy
  • Agricultural Development Bank of China, Nan‘an Sub-Branch, 362300, Nan‘an, China
Bibliografia
  • 1. AIZAWA M., YANG C., 2010, Green Credit, Green Stimulus, Green Revolution? China’s Mobilization of Banks for Environmental Cleanup, J. Environ. Dev. 19: 119-144.DOI: https://doi.org/10.1177/1070496510371192
  • 2. CAO X., KANNAIAH D., YE L., KHAN J., SHABBIR M. S., BILAL K., TABASH M. I., 2022, Does sustainable environmental agenda matter in the era of globalization? The relationship among financial development, energy consump-tion, and sustainable environmental-economic growth, Environmental Science and Pollution Research: 1-11.DOI: https://doi.org/10.1007/s11356-022-19198-8
  • 3. CAO G. et al., 2019, The influence of official replacement on economic growth and its mechanism--empirical evidence from prefecture-level administrative regions, China Journal of Economics 6(04): 102-126.
  • 4. CHEN S.Y., CHEN D.K., 2018, Smog pollution, government governance, and high-quality economic development, Eco-nomic Research Journal 53(02): 20-34.
  • 5. CUI M., 2021, Tripartite evolutionary game of environmental credit supervision under the background of collaborative governance, System Engineering Theory and Practice 41(03): 713-726.
  • 6. DENG H. H., YANG L. X., 2019, Haze governance, local competition and industrial green transformation, China Ind. Econ 10 118-136.
  • 7. DING J., 2019, Green credit policy, credit resource allocation, and corporate strategic response, Economic Review (04): 62-75.
  • 8. DONG Z.Q., 2012, Institutional soft environment and economic development – empirical research on the business envi-ronment of 30 major cities, Management World 2012(04): 9-20.
  • 9. DONG Z. Q., WANG H., 2021, Effectiveness Test of Market-based Environmental Regulation Policy – Empirical Evi-dence from the Perspective of Carbon Emissions Trading Policy, Statistical Research 38(10): 48-61.
  • 10. FENG X.Y. et al., 2020, Government transformation, credit governance and industrial green development, Technology Economics 05: 73-84.
  • 11. KHAN J., LI Y., GIRARDIN E., 2022, Is a clash coming when trade and climate meet at the border? The impact of the EU's carbon border adjustment on China's belt and road initiative, Structural Change and Economic Dynamics 63: 112-124.DOI: https://doi.org/10.1016/j.strueco.2022.09.012
  • 12. MA Z.G. et al., 2022, Evaluation of green and high-quality development of national independent innovation demonstration zones, China Population, Resources and Environment 32(02): 118-127.
  • 13. SHEN H.L., JIN D., 2019, Heterogeneous environmental regulation, industrial enterprise R&D and employment skills structure – an empirical study based on spatial panel Durbin model, Soft Science 33(08): 39-43+53.
  • 14. QIU Z.L., WANG Y.H., 2018, The influence of environmental regulation on industrial eco-efficiency under the constraints of administrative monopoly – test based on dynamic space Doberman model and threshold effect, Industrial Economics Research, 2018(05): 114-126.
  • 15. WANG X., WANG Y., 2021, Green credit policy enhances green innovation research, Management World 37(06): 173-188+11.
  • 16. WANG P., SHUFENG G., 2021, Formal environmental regulation, human capital and green total factor productivity, Macroeconomics (05): 155-169.
  • 17. WANG K. H., ZHAO Y. X., JIANG C. F., LI Z. Z., 2022, Does green finance inspire sustainable development? Evidence rom a global perspective, Economic Analysis and Policy 75: 412-426.DOI: https://doi.org/10.1016/j.eap.2022.06.002
  • 18. WEN H., LEE C. C., ZHOU F., 2021, Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises, Energy Economics 94: 105099.DOI: https://doi.org/10.1016/j.eneco.2021.105099
  • 19. WEN Q.X. et al., 2020, Research on the implementation of enterprise environmental protection credit evaluation policy, Chinese Journal of Environmental Management 12(04): 96-103.
  • 20. WU J.M. et al., 2018, Research on government credit evaluation in the new era: a review and prospect from a new perspec-tive – based on Wu’s three-dimensional credit theory, Modern Management Science, 2018(04): 3-5.
  • 21. WU S., ALHARTHI M., YIN W., ABBAS Q., SHAH A. N., UR RAHMAN S., KHAN J., 2021, The carbon-neutral energy consumption and emission volatility: The causality analysis of Asean region, Energies, 14(10): 2943.DOI: https://doi.org/10.3390/en14102943
  • 22. XU X., LI J., 2020, Asymmetric impacts of the policy and development of green credit on the debt financing cost and maturity of different types of enterprises in China, Journal of Cleaner Production 264: 121574.DOI: https://doi.org/10.1016/j.jclepro.2020.121574
  • 23. YANG H.S. et al., 2014, Policy instability and economic growth – empirical evidence from changes of local officials in China, Management World 2014(09): 13-28+187-188.
  • 24. YANG K., LEE L. F., 2017, Identification and QML estimation of multivariate and simultaneous equations spatial auto-regressive models, Journal of Econometrics 196(1): 196-214.DOI: https://doi.org/10.1016/j.jeconom.2016.04.019
  • 25. YIN J.H. et al., 2020, Policy Uncertainty and innovation of heavy polluting enterprises – evidence from key monitoring enterprises of wastewater state control, Journal of Beijing Institute of Technology (Social Sciences Edition), 22(05): 23-31.
  • 26. ZHANG J., ALHARTHI M., ABBAS Q., LI W., MOHSIN M., JAMAL K., TAGHIZADEH-HESARY F., 2020, Reassessing the Environmental Kuznets Curve in relation to energy efficiency and economic growth, Sustainability 12(20): 8346.DOI: https://doi.org/10.3390/su12208346
  • 27. ZHANG K. et al., 2016, Interaction between inter-regional environmental protection investment and endogenous strategy of pollution emissions, China Industrial Economics 2016(02): 68-82.
  • 28. ZHANG M. et al., 2019, Using three-sided dynamic game model to study regional cooperative governance of haze pollu-tion in China from a government heterogeneity perspective, Science of the Total Environment 694(C): 133559.DOI: https://doi.org/10.1016/j.scitotenv.2019.07.365
  • 29. ZHANG M., ZHANG X., SONG Y., ZHU J., 2022, Exploring the impact of green credit policies on corporate financing costs based on the data of Chinese A-share listed companies from 2008 to 2019, Journal of Cleaner Production: 134012.DOI: https://doi.org/10.1016/j.jclepro.2022.134012
  • 30. ZHANG W.B. et al., 2010, The pattern and evolution of inter-provincial competition in China's environmental regulation intensity – analysis based on two-zone space Durbin fixed effects model, Management World 2010(12): 34-44.
  • 31. ZHANG Z., JIN T., MENG X., 2020, From race-to-the-bottom to strategic imitation: how does political competition im-pact the environmental enforcement of local governments in China?, Environmental Science and Pollution Research 27(20): 25675-25688.DOI: https://doi.org/10.1007/s11356-020-09003-9
  • 32. ZHAO B. et al., 2019, Government transformation, public service, and manufacturing transformation and upgrading, Forward Position or Economics 10(06): 123-133.
  • 33. ZHOU J. Q., HAN, Z. Z., 2020, Environmental Regulation, Factor Market Reform Dividends and Green Competitiveness: Theory and Chinese Experience. Contemporary Finance & Economics (9)3.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-11922c1d-74e4-4e93-920f-d444544c0f70
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