The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations
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DOI: 10.1016/j.econmod.2017.04.027
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- Bhattacharya, Mita & Rafiq, Shuddhasattwa & Bhattacharya, Sankar, 2015. "The role of technology on the dynamics of coal consumption–economic growth: New evidence from China," Applied Energy, Elsevier, vol. 154(C), pages 686-695.
- Fisher-Vanden, Karen & Jefferson, Gary H. & Liu, Hongmei & Tao, Quan, 2004. "What is driving China's decline in energy intensity?," Resource and Energy Economics, Elsevier, vol. 26(1), pages 77-97, March.
- Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
- Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
- Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
- Wang, Ke & Wei, Yi-Ming, 2016.
"Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator,"
Energy Economics, Elsevier, vol. 54(C), pages 50-59.
- Ke Wang & Yi-Ming Wei, 2015. "Sources of energy productivity change in China during 1997-2012: A decomposition analysis based on the Luenberger productivity indicator," CEEP-BIT Working Papers 86, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Yingnan Liu & Ke Wang, 2015. "Energy efficiency of China's industry sector: An adjusted network DEA-based decomposition analysis," CEEP-BIT Working Papers 83, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
- Rafiq, Shudhasattwa & Sgro, Pasquale & Apergis, Nicholas, 2016. "Asymmetric oil shocks and external balances of major oil exporting and importing countries," Energy Economics, Elsevier, vol. 56(C), pages 42-50.
- Islam, Faridul & Shahbaz, Muhammad & Ahmed, Ashraf U. & Alam, Md. Mahmudul, 2013.
"Financial development and energy consumption nexus in Malaysia: A multivariate time series analysis,"
Economic Modelling, Elsevier, vol. 30(C), pages 435-441.
- Islam, Faridul & Shahbaz, Muhammad & Alam, Mahmudul, 2011. "Financial development and energy consumption nexus in Malaysia: A multivariate time series analysis," MPRA Paper 28403, University Library of Munich, Germany.
- Islam, Faridul & Shahbaz, Muhammad & Ahmed, Ashraf U. & Alam, Md. Mahmudul, 2019. "Financial Development and Energy Consumption Nexus in Malaysia: A Multivariate Time Series Analysis," OSF Preprints tdh8k, Center for Open Science.
- Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
- Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
- Elliott, Robert J.R. & Sun, Puyang & Chen, Siyang, 2013. "Energy intensity and foreign direct investment: A Chinese city-level study," Energy Economics, Elsevier, vol. 40(C), pages 484-494.
- Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
- Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
- Liu, Yingnan & Wang, Ke, 2015. "Energy efficiency of China's industry sector: An adjusted network DEA (data envelopment analysis)-based decomposition analysis," Energy, Elsevier, vol. 93(P2), pages 1328-1337.
- Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
- Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
- Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014.
"Energy intensity developments in 40 major economies: Structural change or technology improvement?,"
Energy Economics, Elsevier, vol. 41(C), pages 47-62.
- Enrica De Cian & Michael Schymura & Elena Verdolini & Sebastian Voigt, 2013. "Energy Intensity Developments in 40 Major Economies: Structural Change or Technology Improvement?," Working Papers 2013.38, Fondazione Eni Enrico Mattei.
- De Cian, Enrica & Schymura, Michael & Verdolini, Elena & Voigt, Sebastian, 2013. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," ZEW Discussion Papers 13-052, ZEW - Leibniz Centre for European Economic Research.
- De Cian, Enrica & Schymura, Michael & Verdolini, Elena & Voigt, Sebastian, 2013. "Energy Intensity Developments in 40 Major Economies: Structural Change or Technology Improvement?," Climate Change and Sustainable Development 150369, Fondazione Eni Enrico Mattei (FEEM).
- Zeus Guevara & João F. D. Rodrigues, 2016. "Structural transitions and energy use: a decomposition analysis of Portugal 1995--2010," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 202-223, June.
- Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
- Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
- Ma, Ben, 2015. "Does urbanization affect energy intensities across provinces in China?Long-run elasticities estimation using dynamic panels with heterogeneous slopes," Energy Economics, Elsevier, vol. 49(C), pages 390-401.
- Adams, F. Gerard & Shachmurove, Yochanan, 2008. "Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020," Energy Economics, Elsevier, vol. 30(3), pages 1263-1278, May.
- Charles F. Manski, 1993.
"Identification of Endogenous Social Effects: The Reflection Problem,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
- Manski, Charles F., 1991. "Identification of Endogenous Social Effects: The Reflection Problem," SSRI Workshop Series 292712, University of Wisconsin-Madison, Social Systems Research Institute.
- Manski, C.F., 1991. "Identification of Endogenous Social Effects: the Reflection Problem," Working papers 9127, Wisconsin Madison - Social Systems.
- Kounetas, Kostas & Tsekouras, Kostas, 2010. "Are the Energy Efficiency Technologies efficient?," Economic Modelling, Elsevier, vol. 27(1), pages 274-283, January.
- Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
- Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
- Salim, Ruhul A. & Rafiq, Shuddhasattwa, 2012. "Why do some emerging economies proactively accelerate the adoption of renewable energy?," Energy Economics, Elsevier, vol. 34(4), pages 1051-1057.
- Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
- Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
- Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
- Feng, Taiwen & Sun, Linyan & Zhang, Ying, 2009. "The relationship between energy consumption structure, economic structure and energy intensity in China," Energy Policy, Elsevier, vol. 37(12), pages 5475-5483, December.
- Yu, Huayi, 2012. "The influential factors of China's regional energy intensity and its spatial linkages: 1988–2007," Energy Policy, Elsevier, vol. 45(C), pages 583-593.
- Liu, Yaobin & Xie, Yichun, 2013. "Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China," Energy Economics, Elsevier, vol. 36(C), pages 43-54.
- 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.
- Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
- Zha, Donglan & Ding, Ning, 2015. "Threshold characteristic of energy efficiency on substitution between energy and non-energy factors," Economic Modelling, Elsevier, vol. 46(C), pages 180-187.
- Lei Jiang & Minhe Ji, 2016. "China’s Energy Intensity, Determinants and Spatial Effects," Sustainability, MDPI, vol. 8(6), pages 1-15, June.
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Keywords
DEA-Malmquist; Energy intensity; Spatial spillover effects; China;All these keywords.
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