New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China's quasi-natural experiment
Author
Abstract
Suggested Citation
DOI: 10.1016/j.enpol.2022.113389
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Hu, Hui & Xie, Nan & Fang, Debin & Zhang, Xiaoling, 2018. "The role of renewable energy consumption and commercial services trade in carbon dioxide reduction: Evidence from 25 developing countries," Applied Energy, Elsevier, vol. 211(C), pages 1229-1244.
- Li, Jinying & Li, Sisi, 2020. "Energy investment, economic growth and carbon emissions in China—Empirical analysis based on spatial Durbin model," Energy Policy, Elsevier, vol. 140(C).
- Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
- Olivier Parent & James P. LeSage, 2008.
"Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 235-256.
- James Lesage & Olivier Parent, 2006. "Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers," Post-Print hal-00375311, HAL.
- Olivier Parent & James P. Lesage, 2007. "Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers," University of Cincinnati, Economics Working Papers Series 2007-03, University of Cincinnati, Department of Economics.
- Liu, Xiping & Zhang, Xiaoling & Sun, Wen, 2022. "Does the agglomeration of urban producer services promote carbon efficiency of manufacturing industry?," Land Use Policy, Elsevier, vol. 120(C).
- Dong, Kangyin & Sun, Renjin & Hochman, Gal, 2017. "Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries," Energy, Elsevier, vol. 141(C), pages 1466-1478.
- Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
- Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
- Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
- Potrč, Sanja & Čuček, Lidija & Martin, Mariano & Kravanja, Zdravko, 2021. "Sustainable renewable energy supply networks optimization – The gradual transition to a renewable energy system within the European Union by 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
- Wang, Jin, 2013. "The economic impact of Special Economic Zones: Evidence from Chinese municipalities," Journal of Development Economics, Elsevier, vol. 101(C), pages 133-147.
- Jordaan, Sarah M. & Romo-Rabago, Elizabeth & McLeary, Romaine & Reidy, Luke & Nazari, Jamal & Herremans, Irene M., 2017. "The role of energy technology innovation in reducing greenhouse gas emissions: A case study of Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1397-1409.
- Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.
- 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.
- Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
- Yang, Zhenbing & Shao, Shuai & Yang, Lili & Liu, Jianghua, 2017. "Differentiated effects of diversified technological sources on energy-saving technological progress: Empirical evidence from China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1379-1388.
- Mekhilef, S. & Saidur, R. & Safari, A., 2011. "A review on solar energy use in industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1777-1790, May.
- Verdolini, Elena & Galeotti, Marzio, 2011.
"At home and abroad: An empirical analysis of innovation and diffusion in energy technologies,"
Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
- Verdolini, Elena & Galeotti, Marzio, 2009. "At Home and Abroad: An Empirical Analysis of Innovation and Diffusion in Energy-Efficient Technologies," Sustainable Development Papers 56216, Fondazione Eni Enrico Mattei (FEEM).
- Elena Verdolini & Marzio Galeotti, 2009. "At Home and Abroad: An Empirical Analysis of Innovation and Diffusion in Energy-Efficient Technologies," Working Papers 2009.123, Fondazione Eni Enrico Mattei.
- Andreoni, James & Levinson, Arik, 2001.
"The simple analytics of the environmental Kuznets curve,"
Journal of Public Economics, Elsevier, vol. 80(2), pages 269-286, May.
- James Andreoni & Arik Levinson, 1998. "The Simple Analytics of the Environmental Kuznets Curve," NBER Working Papers 6739, National Bureau of Economic Research, Inc.
- Wurlod, Jules-Daniel & Noailly, Joëlle, 2018.
"The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries,"
Energy Economics, Elsevier, vol. 71(C), pages 47-61.
- Jules-Daniel Wurlod & Joëlle Noailly, 2016. "The impact of green innovation on energy intensity: an empirical analysis for 14 industrial sectors in OECD countries," CIES Research Paper series 42-2016, Centre for International Environmental Studies, The Graduate Institute.
- Destek, Mehmet Akif & Aslan, Alper, 2020. "Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries," Renewable Energy, Elsevier, vol. 151(C), pages 1298-1306.
- Neij, Lena & Heiskanen, Eva & Strupeit, Lars, 2017. "The deployment of new energy technologies and the need for local learning," Energy Policy, Elsevier, vol. 101(C), pages 274-283.
- Liao, Xianchun & Shi, Xunpeng (Roc), 2018. "Public appeal, environmental regulation and green investment: Evidence from China," Energy Policy, Elsevier, vol. 119(C), pages 554-562.
- Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
- Zhao, Ning & You, Fengqi, 2020. "Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?," Applied Energy, Elsevier, vol. 279(C).
- Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
- Shi, Kaifang & Chen, Yun & Li, Linyi & Huang, Chang, 2018. "Spatiotemporal variations of urban CO2 emissions in China: A multiscale perspective," Applied Energy, Elsevier, vol. 211(C), pages 218-229.
- Zhang, Fangni & Graham, Daniel J. & Wong, Mark Siu Chun, 2018. "Quantifying the substitutability and complementarity between high-speed rail and air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 191-215.
- Lindmark, Magnus, 2002. "An EKC-pattern in historical perspective: carbon dioxide emissions, technology, fuel prices and growth in Sweden 1870-1997," Ecological Economics, Elsevier, vol. 42(1-2), pages 333-347, August.
- Wang, Qiao & Yi, Hongtao, 2021. "New energy demonstration program and China's urban green economic growth: Do regional characteristics make a difference?," Energy Policy, Elsevier, vol. 151(C).
- 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.
- Rahman, Mohammad Mafizur & Sultana, Nahid & Velayutham, Eswaran, 2022. "Renewable energy, energy intensity and carbon reduction: Experience of large emerging economies," Renewable Energy, Elsevier, vol. 184(C), pages 252-265.
- Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
- Wu, Jing & Zuidema, Christian & Gugerell, Katharina & de Roo, Gert, 2017. "Mind the gap! Barriers and implementation deficiencies of energy policies at the local scale in urban China," Energy Policy, Elsevier, vol. 106(C), pages 201-211.
- Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
- Asdrubali, Francesco & Baldinelli, Giorgio & D’Alessandro, Francesco & Scrucca, Flavio, 2015. "Life cycle assessment of electricity production from renewable energies: Review and results harmonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1113-1122.
- 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).
- Feng, Yidai & Liu, Yaobin & Yuan, Huaxi, 2022. "The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency," Energy Policy, Elsevier, vol. 164(C).
- Gao, Kang & Yuan, Yijun, 2021. "The effect of innovation-driven development on pollution reduction: Empirical evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Wang, Xinru & Long, Ruyin & Sun, Qingqing & Chen, Hong & Jiang, Shiyan & Wang, Yujie & Li, Qianwen & Yang, Shuhan, 2024. "Spatial spillover effects and driving mechanisms of carbon emission reduction in new energy demonstration cities," Applied Energy, Elsevier, vol. 357(C).
- Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
- Ning Xu & Desen Zhao & Wenjie Zhang & He Zhang & Wanxu Chen & Min Ji & Ming Liu, 2022. "Innovation-Driven Development and Urban Land Low-Carbon Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(10), pages 1-21, September.
- Zhao, Xingqi & Ke, Xiaojun & Jiang, Songyu, 2024. "Spatial impact of green finance reform pilot zones on environmental efficiency: A pathway to mitigating China's energy trilemma," Energy, Elsevier, vol. 312(C).
- Xie, Ronghui & Teo, Thompson S.H., 2022. "Green technology innovation, environmental externality, and the cleaner upgrading of industrial structure in China — Considering the moderating effect of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- Sining Zhu & Zhou Zhou & Ran Li & Wenxing Li, 2022. "Impact of High-Speed Rail Construction on the Environmental Sustainability of China’s Three Major Urban Agglomerations," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
- Weng, Chunfei & Huang, Jingong & Greenwood-Nimmo, Matthew, 2023. "The effect of clean energy investment on CO2 emissions: Insights from a Spatial Durbin Model," Energy Economics, Elsevier, vol. 126(C).
- Shaoyan Yang & Duodong Ding & Churen Sun, 2022. "Does Innovative City Policy Improve Green Total Factor Energy Efficiency? Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-30, October.
- Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Dong, Xiucheng, 2023. "Does industrial convergence mitigate CO2 emissions in China? A quasi-natural experiment on “Triple Play” Reform," Energy Economics, Elsevier, vol. 128(C).
- Song, Yang & Pang, Xiaoqian & Zhang, Zhiyuan & Sahut, Jean-Michel, 2024. "Can the new energy demonstration city policy promote corporate green innovation capability?," Energy Economics, Elsevier, vol. 136(C).
- Li, Junwei & Liu, Wenxiao & Du, Lei & Xiao, Jin, 2024. "High-tech industry agglomeration and regional green development: An analysis of spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- 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).
- Wang, Juan & Li, Ziming & Wang, Yanan, 2024. "How does China's energy-consumption trading policy affect the carbon abatement costs? An analysis based on spatial difference-in-differences method," Energy, Elsevier, vol. 294(C).
- Wang, Xiong & Wang, Xiao & Ren, Xiaohang & Wen, Fenghua, 2022. "Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach," Energy Economics, Elsevier, vol. 109(C).
- Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
- Weng, Shimei & Song, Malin & Tao, Weiliang & Chen, Jianbao & Chen, Hao, 2025. "Breaking the inertia of urban energy systems: Does the new energy demonstration city construction improve carbon unlocking efficiency?," Renewable Energy, Elsevier, vol. 244(C).
- Yang, Zhenbing & Hao, Chunyan & Shao, Shuai & Chen, Zhuo & Yang, Lili, 2022. "Appropriate technology and energy security: From the perspective of biased technological change," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
- Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
- Yusen Luo & Qinglin Wang & Xingle Long & Zheming Yan & Muhammad Salman & Chao Wu, 2023. "Green innovation and SO2 emissions: Dynamic threshold effect of human capital," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 499-515, January.
- Dapeng Liang & Jianjun Liu & Mengting Liu & Jiayin Sun, 2024. "Does information infrastructure and technological infrastructure reduce carbon dioxide emissions in the context of sustainable development? Examining spatial spillover effect," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 1599-1615, June.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:173:y:2023:i:c:s0301421522006085. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.