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Natural resource assets management and urban carbon emission efficiency: Evidence from quasi-natural experiment in China

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  • Siyiti, Muhetaer
  • Yao, Xin

Abstract

Efficient management of natural resources plays an important role in improving urban low-carbon development. Based on panel data from 277 prefecture-level cities in China, this paper investigates the impact of the “Natural Resource Assets Management Audit” (NRAMA) policy on urban carbon emission efficiency (CEE) using the staggered DID approach. Our findings reveal that the NRAMA policy significantly improves urban CEE and shows heterogeneity from the perspective of regional features, city size, resource dependency, government intervention, and marketization level. The mechanism test results suggest that the pilot policy affects urban CEE through efficient natural resource utilization, better environmental protection, government audit, fiscal expenditures, and urban green innovation. Additionally, population density plays a significant moderating role. Our study supplements new evidence on the relationship between natural resource assets management and efficient carbon emission reduction and provides key insights regarding the effective implementation of the NRAMA policy.

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  • Siyiti, Muhetaer & Yao, Xin, 2024. "Natural resource assets management and urban carbon emission efficiency: Evidence from quasi-natural experiment in China," Energy Economics, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:eneeco:v:140:y:2024:i:c:s0140988324006716
    DOI: 10.1016/j.eneco.2024.107963
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    as
    1. repec:eme:maj000:maj-08-2019-2378 is not listed on IDEAS
    2. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    3. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    4. Chai, Jian & Tian, Lingyue & Jia, Ruining, 2023. "New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China's quasi-natural experiment," Energy Policy, Elsevier, vol. 173(C).
    5. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    6. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    7. Dawei Huang & Gang Chen, 2022. "Can the Carbon Emissions Trading System Improve the Green Total Factor Productivity of the Pilot Cities?—A Spatial Difference-in-Differences Econometric Analysis in China," IJERPH, MDPI, vol. 19(3), pages 1-18, January.
    8. 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.
    9. Xiting Wu & Qun CAO & Xiaoping Tan & Liang Li, 2020. "The effect of audit of outgoing leading officials’ natural resource accountability on environmental governance: evidence from China," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 35(9), pages 1213-1241, November.
    10. Andreas Bergmann, 2012. "The influence of the nature of government accounting and reporting in decision-making: evidence from Switzerland," Public Money & Management, Taylor & Francis Journals, vol. 32(1), pages 15-20, January.
    11. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    12. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    13. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    14. Petri Böckerman & Pekka Ilmakunnas, 2009. "Unemployment and self‐assessed health: evidence from panel data," Health Economics, John Wiley & Sons, Ltd., vol. 18(2), pages 161-179, February.
    15. Xiaoyu Li & Jiawei Tang & Chao Feng & Yexiao Chen, 2023. "Can Government Environmental Auditing Help to Improve Environmental Quality? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    16. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
    17. Liu, Junxian & Nie, Song & Lin, Tiantian, 2024. "Government auditing and urban energy efficiency in the context of the digital economy: Evidence from China's Auditing System reform," Energy, Elsevier, vol. 296(C).
    18. Chen, Yang & Shao, Shuai & Fan, Meiting & Tian, Zhihua & Yang, Lili, 2022. "One man's loss is another's gain: Does clean energy development reduce CO2 emissions in China? Evidence based on the spatial Durbin model," Energy Economics, Elsevier, vol. 107(C).
    19. Shahbaz, Muhammad & Nasreen, Samia & Ahmed, Khalid & Hammoudeh, Shawkat, 2017. "Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels," Energy Economics, Elsevier, vol. 61(C), pages 221-232.
    20. Mohammad J. Abdolmohammadi & Robert R. Tucker, 2002. "The Influence of Accounting and Auditing on a Country's Economic Development," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 1(3), pages 42-53, March.
    21. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    22. Song, Yan & Zhang, Xiao & Zhang, Ming, 2021. "The influence of environmental regulation on industrial structure upgrading: Based on the strategic interaction behavior of environmental regulation among local governments," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    23. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    24. Wang, Shaojian & Xie, Zihan & Wu, Rong & Feng, Kuishang, 2022. "How does urbanization affect the carbon intensity of human well-being? A global assessment," Applied Energy, Elsevier, vol. 312(C).
    25. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    26. Fan, Meiting & Li, Mengxu & Liu, Jianghua & Shao, Shuai, 2022. "Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China," Energy Economics, Elsevier, vol. 115(C).
    27. Wang, Chang’an & Liu, Xiaoqian & Li, Han & Yang, Cunyi, 2023. "Analyzing the impact of low-carbon city pilot policy on enterprises' labor demand: Evidence from China," Energy Economics, Elsevier, vol. 124(C).
    28. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    29. Yue Dou & Kangyin Dong & Qingzhe Jiang & Xiucheng Dong, 2020. "How Does Trade Openness Affect Carbon Emission? New International Evidence," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 22(03n04), pages 1-31, December.
    30. Cong, Yufei & Ren, Chunhong, 2023. "Does Natural resource dependency impede sustainable development? Exploring the non-linear consequence of economic complexity," Resources Policy, Elsevier, vol. 85(PB).
    31. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    32. Lv, Chengchao & Shao, Changhua & Lee, Chien-Chiang, 2021. "Green technology innovation and financial development: Do environmental regulation and innovation output matter?," Energy Economics, Elsevier, vol. 98(C).
    33. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    34. Lei Zhu & Yuyu Liu & Chun Cai, 2023. "Natural resources and assets accountability audit of local officials and government subsidies: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 30(7), pages 981-985, April.
    35. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    36. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    37. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    38. Chen, Yang & Mu, Huaizhong, 2023. "Natural resources, carbon trading policies and total factor carbon efficiency: A new direction for China’s economy," Resources Policy, Elsevier, vol. 86(PA).
    39. Hu, Guoqiang & Wang, Xiaoqi & Wang, Yu, 2021. "Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 98(C).
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