Energy-saving R&D and carbon intensity in China
Author
Abstract
Suggested Citation
DOI: 10.1016/j.eneco.2021.105240
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Wang, Zhaohua & Zhang, Bin & Liu, Tongfan, 2016. "Empirical analysis on the factors influencing national and regional carbon intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 34-42.
- Arellano, Manuel & Bover, Olympia, 1995.
"Another look at the instrumental variable estimation of error-components models,"
Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
- Gui, Shusen & Wu, Chunyou & Qu, Ying & Guo, Lingling, 2017. "Path analysis of factors impacting China's CO2 emission intensity: Viewpoint on energy," Energy Policy, Elsevier, vol. 109(C), pages 650-658.
- Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
- Coe, David T. & Helpman, Elhanan, 1995.
"International R&D spillovers,"
European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
- Coe, David T & Helpman, Elhanan, 1993. "International R&D Spillovers," CEPR Discussion Papers 840, C.E.P.R. Discussion Papers.
- Coe, D.T. & Helpman, E., 1993. "International R&D Spillovers," Papers 5-93, Tel Aviv.
- David T. Coe & Elhanan Helpman, 1993. "International R&D Spillovers," NBER Working Papers 4444, National Bureau of Economic Research, Inc.
- Dechezlepretre, Antoine & Glachant, Matthieu & Hascic, Ivan & Johnstone, Nick & Meniere, Yann, 2009.
"Invention and Transfer of Climate Change Mitigation Technologies on a Global Scale: A Study Drawing on Patent Data,"
Sustainable Development Papers
54361, Fondazione Eni Enrico Mattei (FEEM).
- Antoine Dechezlepr�tre & Matthieu Glachant & Ivan Hascic & Nick Johnstone & Yann M�ni�re, 2010. "Invention and transfer of climate change mitigation technologies on a global scale: a study drawing on patent data," GRI Working Papers 17, Grantham Research Institute on Climate Change and the Environment.
- Matthieu Glachant & Antoine Dechezleprêtre & Ivan Hascic & Nick Johnstone & Yann Ménière, 2009. "Invention and Transfer of Climate Change Mitigation Technologies on a Global Scale: A Study Drawing on Patent Data," Working Papers 2009.82, Fondazione Eni Enrico Mattei.
- Dechezlepretre, Antoine & Glachant, Matthieu & Hascic, Ivan & Johnstone, Nick & Meniere, Yann, 2010. "Invention and transfer of climate change mitigation technologies on a global scale: a study drawing on patent data," LSE Research Online Documents on Economics 37590, London School of Economics and Political Science, LSE Library.
- Nguyen, Justin Hung & Phan, Hieu V., 2020. "Carbon risk and corporate capital structure," Journal of Corporate Finance, Elsevier, vol. 64(C).
- Zhang, Fan & Deng, Xiangzheng & Phillips, Fred & Fang, Chuanglin & Wang, Chao, 2020. "Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
- Paul Lanoie & Jérémy Laurent‐Lucchetti & Nick Johnstone & Stefan Ambec, 2011.
"Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis,"
Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(3), pages 803-842, September.
- Paul Lanoie & Jérémy Laurent-Lucchetti & Nick Johnstone & Stefan Ambec, 2007. "Environmental Policy, Innovation and Performance : New Insights on the Porter Hypothesis," Cahiers de recherche 07-06, HEC Montréal, Institut d'économie appliquée.
- Lanoie, P. & Laurent-Lucchetti, L. & Johnstone, N. & Ambec, S., 2007. "Environmental policy, innovation and performance : new insights on the Porter hypothesis," Working Papers 200706, Grenoble Applied Economics Laboratory (GAEL).
- Paul Lanoie & Nick Johnstone & Stefan Ambec & Jérémy Laurent-Lucchetti, 2007. "Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis," CIRANO Working Papers 2007s-19, CIRANO.
- Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 579-595, September.
- Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
- Kremer, Stephanie & Bick, Alexander & Nautz, Dieter, 2009. "Inflation and growth: New evidence from a dynamic panel threshold analysis," SFB 649 Discussion Papers 2009-036, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Ang, James B., 2009.
"CO2 emissions, research and technology transfer in China,"
Ecological Economics, Elsevier, vol. 68(10), pages 2658-2665, August.
- Ang, James, 2009. "CO2 Emissions, Research and Technology Transfer in China," MPRA Paper 13261, University Library of Munich, Germany.
- Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
- Aydin, Celil & Esen, Ömer, 2018. "Does the level of energy intensity matter in the effect of energy consumption on the growth of transition economies? Evidence from dynamic panel threshold analysis," Energy Economics, Elsevier, vol. 69(C), pages 185-195.
- Awaworyi Churchill, Sefa & Inekwe, John & Smyth, Russell & Zhang, Xibin, 2019. "R&D intensity and carbon emissions in the G7: 1870–2014," Energy Economics, Elsevier, vol. 80(C), pages 30-37.
- Huang, Junbing & Liu, Qiang & Cai, Xiaochen & Hao, Yu & Lei, Hongyan, 2018. "The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model," Energy Policy, Elsevier, vol. 115(C), pages 32-42.
- Ye, Chusheng & Ye, Qin & Shi, Xunpeng & Sun, Yongping, 2020. "Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries," Energy Policy, Elsevier, vol. 137(C).
- Stephanie Kremer & Alexander Bick & Dieter Nautz, 2013.
"Inflation and growth: new evidence from a dynamic panel threshold analysis,"
Empirical Economics, Springer, vol. 44(2), pages 861-878, April.
- Kremer, Stephanie & Bick, Alexander & Nautz, Dieter, 2009. "Inflation and growth: new evidence from a dynamic panel threshold analysis," Discussion Papers 2009/9, Free University Berlin, School of Business & Economics.
- Stephanie Kremer & Alexander Bick & Dieter Nautz, 2009. "Inflation and Growth: New Evidence From a Dynamic Panel Threshold Analysis," SFB 649 Discussion Papers SFB649DP2009-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Kremer, Stephanie & Bick, Alexander & Nautz, Dieter, 2009. "Inflation and growth: New evidence from a dynamic panel threshold analysis," SFB 649 Discussion Papers 2009-036, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
- Feng Dong & Ruyin Long & Zhuolin Li & Yuanju Dai, 2016. "Analysis of carbon emission intensity, urbanization and energy mix: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1375-1391, June.
- Yuko Kinoshita, 2000. "R&D and technology spillovers via FDI: Innovation and absorptive capacity," CERGE-EI Working Papers wp163, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Lai, Mingyong & Peng, Shuijun & BAO, Qun, 2006. "Technology spillovers, absorptive capacity and economic growth," China Economic Review, Elsevier, vol. 17(3), pages 300-320.
- Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
- Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011.
"Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis,"
Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
- Dechezlepretre, Antoine & Glachant, Matthieu & Hascic, Ivan & Johnstone, Nick & Meniere, Yann, 2011. "Invention and transfer of climate change-mitigation technologies: a global analysis," LSE Research Online Documents on Economics 37667, London School of Economics and Political Science, LSE Library.
- Antoine Dechezleprêtre & Matthieu Glachant & Ivan Hascic & Nick Johnstone & Yann Ménière, 2011. "Invention and transfer of climate change-mitigation technologies: A global analysis," Post-Print hal-00488214, HAL.
- Xiaolan Fu, 2008. "Foreign Direct Investment, Absorptive Capacity and Regional Innovation Capabilities: Evidence from China," Oxford Development Studies, Taylor & Francis Journals, vol. 36(1), pages 89-110.
- Garrone, Paola & Grilli, Luca, 2010. "Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation," Energy Policy, Elsevier, vol. 38(10), pages 5600-5613, October.
- repec:igg:jssoe0:v:7:y:2017:i:1:p:45-57 is not listed on IDEAS
- Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
- Liu Chen & Xin Li & Sheng Xue & Lingfei Qu & Minxi Wang, 2019. "Carbon intensity and emission reduction potential in China: spatial measuring method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-12, December.
- Alam, Md. Samsul & Atif, Muhammad & Chien-Chi, Chu & Soytaş, Uğur, 2019. "Does corporate R&D investment affect firm environmental performance? Evidence from G-6 countries," Energy Economics, Elsevier, vol. 78(C), pages 401-411.
- Yuko Kinoshita, 2000. "R&D and Technology Spillovers via FDI: Innovation and Absorptive Capacity," William Davidson Institute Working Papers Series 349, William Davidson Institute at the University of Michigan.
- Alam, Md. Samsul & Paramati, Sudharshan Reddy, 2017. "The dynamic role of tourism investment on tourism development and CO2 emissions," Annals of Tourism Research, Elsevier, vol. 66(C), pages 213-215.
- Jing Lan & Makoto Kakinaka & Xianguo Huang, 2012. "Foreign Direct Investment, Human Capital and Environmental Pollution in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(2), pages 255-275, February.
- Richard Perkins & Eric Neumayer, 2012. "Do recipient country characteristics affect international spillovers of CO 2 -efficiency via trade and foreign direct investment?," Climatic Change, Springer, vol. 112(2), pages 469-491, May.
- Juan Wang & Tao Zhao & Xiaohu Zhang, 2017. "Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1655-1675, September.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Shi, Xunpeng & Tian, Binbin & Yang, Longjian & Yu, Jian & Zhou, Siyang, 2023. "How do regulatory environmental policies perform? A case study of China's Top-10,000 enterprises energy-saving program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
- Huang, Junbing & Xiang, Shiqi & Wu, Panling & Chen, Xiang, 2022. "How to control China's energy consumption through technological progress: A spatial heterogeneous investigation," Energy, Elsevier, vol. 238(PC).
- Ren, Yi-Shuai & Liu, Pei-Zhi & Klein, Tony & Sheenan, Lisa, 2024. "Does the low-carbon pilot cities policy make a difference to the carbon intensity reduction?," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 227-239.
- Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
- Huang, Junbing & Wang, Yajun & Lei, Hongyan & Chen, Xiang, 2024. "A technology-driven way to carbon peak and its impact mechanism," Energy, Elsevier, vol. 297(C).
- Huang, Junbing & Luan, Bingjiang & He, Wanrui & Chen, Xiang & Li, Mengfan, 2022. "Energy technology of conservation versus substitution and energy intensity in China," Energy, Elsevier, vol. 244(PA).
- Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Zhang, Cheng & Yao, Yangyang & Zhou, Han, 2023. "External technology dependence and manufacturing TFP: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
- Huang, Junbing & Lian, Shijia & Qu, Ran & Luan, Bingjiang & Wang, Yajun, 2023. "Investigating the role of enterprises' property rights in China's provincial industrial energy intensity," Energy, Elsevier, vol. 282(C).
- Bai, Dongbei & Hu, Jin & Irfan, Muhammad & Hu, Mingjun, 2023. "Unleashing the impact of ecological civilization pilot policies on green technology innovation: Evidence from a novel SC-DID model," Energy Economics, Elsevier, vol. 125(C).
- Wang, Yajun & Huang, Junbing, 2022. "Pathway to develop a low-carbon economy through energy-substitution technology in China," Energy, Elsevier, vol. 261(PA).
- Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
- Chen, Changhua & Luo, Yuqing & Zou, Hong & Huang, Junbing, 2023. "Understanding the driving factors and finding the pathway to mitigating carbon emissions in China's Yangtze River Delta region," Energy, Elsevier, vol. 278(PB).
- Huang, Junbing & Wang, Yajun & Guo, Lili, 2022. "Energy intensity and energy-specific technological progress: A case study in Guangdong province of China," Renewable Energy, Elsevier, vol. 184(C), pages 990-1001.
- Rida Waheed, 2022. "The Significance of Energy Factors, Green Economic Indicators, Blue Economic Aspects towards Carbon Intensity: A Study of Saudi Vision 2030," Sustainability, MDPI, vol. 14(11), pages 1-22, June.
- Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
- He, Weimin & Wang, Bin, 2024. "Environmental jurisdiction and energy efficiency: Evidence from China's establishment of environmental courts," Energy Economics, Elsevier, vol. 131(C).
- Zhang, Songlin & Miao, Xuaner & Zheng, Haoqing & Chen, Weihong & Wang, Huafeng, 2024. "Spatial functional division in urban agglomerations and carbon emission intensity: New evidence from 19 urban agglomerations in China," Energy, Elsevier, vol. 300(C).
- Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
- Huang, Junbing & He, Wanrui & Dong, Xinwei & Wang, Qiuhan & Wu, Jun, 2024. "How does green finance reduce China's carbon emissions by fostering green technology innovation?," Energy, Elsevier, vol. 298(C).
- Hu, Changshuai & Du, Dan & Huang, Junbing, 2023. "The driving effect of energy demand evolution: From the perspective of heterogeneity in technology," Energy, Elsevier, vol. 275(C).
- Wang, Bo & Wang, Jianda & Dong, Kangyin & Nepal, Rabindra, 2024. "How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society," Energy Policy, Elsevier, vol. 186(C).
- Teirlinck, Peter, 2022. "Enhancing R&D employment slack during environmental turbulence: Triggers and firm performance consequences for R&D-active SMEs," Technovation, Elsevier, vol. 118(C).
- Huang, Junbing & Wang, Yajun & Luan, Bingjiang & Zou, Hong & Wang, Jun, 2023. "The energy intensity reduction effect of developing digital economy: Theory and empirical evidence from China," Energy Economics, Elsevier, vol. 128(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.- Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Huang, Junbing & Luan, Bingjiang & He, Wanrui & Chen, Xiang & Li, Mengfan, 2022. "Energy technology of conservation versus substitution and energy intensity in China," Energy, Elsevier, vol. 244(PA).
- Huang, Junbing & Wang, Yajun & Guo, Lili, 2022. "Energy intensity and energy-specific technological progress: A case study in Guangdong province of China," Renewable Energy, Elsevier, vol. 184(C), pages 990-1001.
- Huang, Junbing & Lai, Yali & Hu, Hanlei, 2020. "The effect of technological factors and structural change on China's energy intensity: Evidence from dynamic panel models," China Economic Review, Elsevier, vol. 64(C).
- Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
- Lawal, Adedoyin Isola & Ozturk, Ilhan & Olanipekun, Ifedolapo O. & Asaleye, Abiola John, 2020. "Examining the linkages between electricity consumption and economic growth in African economies," Energy, Elsevier, vol. 208(C).
- Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
- Zhong, Mei-Rui & Xiao, Shun-Li & Zou, Han & Zhang, Yi-Jun & Song, Yi, 2021. "The effects of technical change on carbon intensity in China’s non-ferrous metal industry," Resources Policy, Elsevier, vol. 73(C).
- Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
- Liu, Shihua & Padhan, Hemachandra & P., Jithin & Jose, Annmary & Rahut, Dil, 2024. "Do green trade and technology-oriented trade affect economic cycles? Evidence from the Chinese provinces," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- Wang, Zhaohua & Yang, Zhongmin & Zhang, Yixiang & Yin, Jianhua, 2012.
"Energy technology patents–CO2 emissions nexus: An empirical analysis from China,"
Energy Policy, Elsevier, vol. 42(C), pages 248-260.
- Zhaohua Wang & Yixiang Zhang & Xian Zhang, 2011. "Energy technology patents-CO2 emissions nexus: An empirical analysis from China," CEEP-BIT Working Papers 21, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Shaozhou Qi & Huarong Peng & Xiujie Tan, 2019. "The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
- 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).
- Huang, Junbing & Liu, Qiang & Cai, Xiaochen & Hao, Yu & Lei, Hongyan, 2018. "The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model," Energy Policy, Elsevier, vol. 115(C), pages 32-42.
- Wang, Yajun & Huang, Junbing, 2022. "Pathway to develop a low-carbon economy through energy-substitution technology in China," Energy, Elsevier, vol. 261(PA).
- He, Ruifang & Zhong, Meirui & Huang, Jianbai, 2021. "Technological progress and metal resource consumption in the electricity industry—A cross-country panel threshold data analysis," Energy, Elsevier, vol. 231(C).
- Aldieri, Luigi & Sena, Vania & Vinci, Concetto Paolo, 2018. "Domestic R&D spillovers and absorptive capacity: Some evidence for US, Europe and Japan," International Journal of Production Economics, Elsevier, vol. 198(C), pages 38-49.
- Lin, Boqiang & Wesseh, Presley K., 2020. "On the economics of carbon pricing: Insights from econometric modeling with industry-level data," Energy Economics, Elsevier, vol. 86(C).
- Shahzadi, Irum & Yaseen, Muhammad Rizwan & Iqbal Khan, Muhammad Tariq & Amjad Makhdum, Muhammad Sohail & Ali, Qamar, 2022. "The nexus between research and development, renewable energy and environmental quality: Evidence from developed and developing countries," Renewable Energy, Elsevier, vol. 190(C), pages 1089-1099.
- Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
More about this item
Keywords
Energy-saving R&D; Carbon intensity; Two step analysis; Propensity score matching; Difference-in-differences estimator;All these keywords.
Statistics
Access and download statisticsCorrections
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:eneeco:v:98:y:2021:i:c:s0140988321001456. 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/eneco .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.