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Efficiency Evaluation and Influencing Factors of Government Financial Expenditure on Environmental Protection: An SBM Super-efficiency Model Based on Undesired Outputs

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Warianty tytułu
PL
Ocena efektywności i czynniki wpływające na rządowe wydatki finansowe na ochronę środowiska: model Super-efektywności SBM oparty na niepożądanych efektach
Języki publikacji
EN
Abstrakty
EN
In recent years, the adoption of the precise approach for coordinating socio-economic growth and environmental protection to attain sustainable development has become an urgent challenge to be addressed in China. The current development of environmental governance and the efficiency of government financial expenditure on environmental protection (EPEE) deserves enormous attention. With the aid of the provincial panel data, this study emphasized on the use of the SBM super-efficiency model based on unexpected output to quantify the efficiency of China’s government expenditure on environmental protection from 2013-2018 and constructed the Ordinary Least Squares (OLS) regression model to investigate the influencing factors of the government expenditure on environmental protection. The results of the efficiency measurement portray that the aggregate EPEE in China is unsatisfactory. The efficiency value for the western region is greater than that of the central and eastern regions, while the values obtained from the eastern region are above that of the central region. Population size and urbanization level have negative implications on the efficiency value, while the regional economic development level positively promotes the efficiency of the government expenditure on environmental protection. Finally, the corresponding countermeasures and suggestions for policy implementation are outlined accordingly.
PL
W ostatnich latach przyjęcie precyzyjnego podejścia do koordynacji wzrostu społeczno-gospodarczego i ochrony środowiska w celu osiągnięcia zrównoważonego rozwoju stało się pilnym zadaniem w Chinach. Na ogromną uwagę zasługuje obecny rozwój zarządzania środowiskiem oraz efektywność rządowych nakładów finansowych na ochronę środowiska (EPEE). Z pomocą danych panelowych z prowincji, badanie to kładło nacisk na wykorzystanie modelu super-wydajności SBM opartego na nieoczekiwanych wynikach do ilościowego określenia wydajności chińskich wydatków rządowych na ochronę środowiska w latach 2013-2018. Skonstruowano kwadraty (OLS) modelu regresji do badania czynników wpływających na wydatki rządowe na ochronę środowiska. Wyniki pomiaru efektywności pokazują, że zagregowany EPEE w Chinach jest niezadowalający. Wartość efektywności dla regionu zachodniego jest większa niż w regionach centralnych i wschodnich, podczas gdy wartości uzyskane z regionu wschodniego są wyższe niż w regionie centralnym. Negatywnie na wartość efektywności wpływa wielkość populacji i poziom urbanizacji, natomiast regionalny poziom rozwoju gospodarczego pozytywnie wpływa na efektywność wydatków rządowych na ochronę środowiska. Na koniec nakreślono możliwe sposoby poprawy sytuacji i sugestie dotyczące wdrażania polityki.
Czasopismo
Rocznik
Strony
140--150
Opis fizyczny
Bibliogr. 29 poz., fig., tab.
Twórcy
autor
  • School of Management, Jiangsu University, Zhenjiang 212013, P.R. China
autor
  • School of Management, Jiangsu University, Zhenjiang 212013, P.R. China
autor
  • School of Management, Jiangsu University, Zhenjiang 212013, P.R. China
  • School of Management, Jiangsu University, Zhenjiang 212013, P.R. China
autor
  • School of Management, Jiangsu University, Zhenjiang 212013, P.R. China
Bibliografia
  • 1. AGUILAR-HERNANDEZ G.A., DIAS RODRIGUES J.F., TUKKER A., 2021, Macroeconomic, social and environmental impacts of a circular economy up to 2050: A meta-analysis of prospective studies, Journal of Cleaner Production, 278, DOI: 10.1016/j.jclepro.2020.123421.
  • 2. AHN T., CHARNES A., COOPER W.W., 1988, Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning, Socio-Economic Planning Sciences, 22(6): 259-269, DOI: 10.1016/0038-0121(88)90008-0
  • 3. AMANKWAH-AMOAH J., SYLLIAS J., 2020, Can adopting ambitious environmental sustainability initiatives lead to business failures? An analytical framework, Business Strategy and the Environment, 29(1): 240-249, DOI: 10.1002/bse.2361.
  • 4. BIAO T.Q.W., 2012, Empirical Study on the Local Government’s Financial Expenditure Efficiency and Its Influence Factors in China, Journal of Financial Research, 2.
  • 5. CHARNES A., COOPER W.W., RHODES E., 1978, Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6):429-444.
  • 6. CHENG C.; CHEN Z., 2017, Analysis of the efficiency of provincial governments’ financial expenditure on environmental protection and its influencing factors, Statistics and Decision Making. 13: 130-132.
  • 7. CHENG G., 2014, Data envelopment analysis:methods and MaxDEA software, Intellectual Property Pub: Beijing, China.
  • 8. DASGUPTA S., LAPLANTE B., WANG H., WHEELER D., 2002, Confronting the environmental Kuznets curve, Journal of Economic Perspectives, 16(1): 147-168.
  • 9. FARRELL M. J, 1957, The Measurement of Productive Efficiency, Journal of the Royal Statistical Society. Series A (General), 120(3): 253-290.
  • 10. GUO Q., ZHOU M., LIU N., WANG Y., 2019, Spatial effects of environmental regulation and green credits on green technology innovation under lowcarbon economy background conditions, International Journal of Environmental Research and Public Health, 16(17): 3027.
  • 11. HALKOS G.E., PAIZANOS E.Α., 2013, The effect of government expenditure on the environment: An empirical investigation, Ecological Economics, 91:48-56.
  • 12. HONGGUO Y., 2015, Fiscal self-sufficiency environmental protection tax and fee allocation and local government environmental protection expenditure efficiency-an empirical analysis based on DEA-Tobit panel model, Research of Finance and Accounting, 10: 14-18.
  • 13. HUANG G., 2011, Research on the efficiency of local government finance for environmental protection, Journal of Guangxi University for Nationalities (Philosophy and Social Science),33(06): 161-164.
  • 14. KRAJEWSKI P., 2016, The impact of public environmental protection expenditure on economic growth, Problemy Ekorozwoju/ Problems of Sustainable Development, 11(2): 99-104.
  • 15. KUAI P., YANG S., TAO A., ZHANG S., KHAN Z.D., 2019, Environmental effects of Chinese-style fiscal decentralization and the sustainability implications, Journal of Cleaner Production, 239:118089, DOI:10.1016/j.jclepro.2019.118089.
  • 16. PETROVIĆ P., LOBANOV, M.M., 2020, The impact of R&D expenditures on CO2 emissions:Evidence from sixteen OECD countries, Journal of Cleaner Production, 248, DOI: 10.1016/j.jclepro.2019.119187.
  • 17. SIEBERT H., SIEBERT H., 1998, Environmental Quality as a Public Good, Economics of the Environment: 59-93, DOI: 10.1007/978-3-662-11594-7_5.
  • 18. SUN K., SUN L., 2016, Research on the efficiency of fiscal environmental protection expenditure based on input-output ratio - DEA-Tobit analysis based on panel data of prefecture-level cities in Jilin province, Taxation and Economy, 05: 101-610.
  • 19. TONE K., 2001, A slacks-based measure of efficiency in data envelopment analysis, European Journal of Operational Research, 130(3): 498-509.
  • 20. TONE K., 2002, A Slacks-Based Measure of Super Efficiency in Data Envelopment Analysis, European Journal of Operational Research, 143: 32-41, DOI: 10.1016/S0377-2217(01)00324-1.
  • 21. WANG B.; LIU J.A., 2011, Study on the Efficiency Evaluation of Financial Expenditure on Environmental Management in Chinese Local Cities, Journal of Guangxi University for Nationalities (Philosophy and Social Science), 18(4): 71-76.
  • 22. WANG Q., LI C., 2018, Study on the Efficiency Evaluation and Influencing Factors of China’s Fiscal Environmental Protection Expenditure. East China Economic Management, Sustainable Cities and Society, 32(07), p. 102-109.
  • 23. WANG P., 2018, Analysis of the efficiency of public environmental expenditure based on data envelopment analysis (DEA)-Tobit model: evidence from Central China, Nature Environment and Pollution Technology, 17(1): 43-48.
  • 24. XU M., HU W.Q., 2020, A research on coordination between economy, society and environment in China:A case study of Jiangsu, Journal of Cleaner Production, 258: 120641, DOI: 10.1016/j.jclepro.2020.120641.
  • 25. YONGBIN G., 2015, Efficiency evaluation of China’s local government environmental protection expenditure based on DEA model, Journal of Chongqing Normal University (Edition of Social Sciences), 4: 73-80.
  • 26. ZAFAR M.W., SHAHBAZ M., HOU F., SINHA A., 2019, From nonrenewable to renewable energy and its impact on economic growth: The role of research & development expenditures in Asia-Pacific Economic Cooperation countries, Journal of Cleaner Production, 212: 1166-1178, DOI: 10.1016/j.jclepro.2018.12.081.
  • 27. ZHANG J., QU Y., ZHANG Y., LI X., MIAO X., 2019, Effects of FDI on the efficiency of government expenditure on environmental protection under fiscal decentralization: a spatial econometric analysis for China, International Journal of Environmental Research and Public Health, 16(14): 2496.
  • 28. ZHAO J., LI S., WANG J., 2020, Evaluation of the utilization efficiency of financial environmental protection funds in China: A win-win perspective of economy and environment, Economic and Management Research, 41(01): 21-35.
  • 29. ZHU H., FU Q., WEI Q., 2014, Calculation of efficiency on environmental expenditure and study on influential factors, China Popul. Res. Environ, 24:91-96.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ef661356-0aaf-4c58-96a5-959fbd2ef513
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