Potential assessment of optimizing energy structure in the city of carbon intensity target
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DOI: 10.1016/j.apenergy.2016.07.116
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- Chang, Ching-Chih, 2010. "A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 87(11), pages 3533-3537, November.
- Kaivo-oja, Jari & Vehmas, Jarmo & Luukkanen, Jyrki, 2016. "Trend analysis of energy and climate policy environment: Comparative electricity production and consumption benchmark analyses of China, Euro area, European Union, and United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 464-474.
- Camarero, Mariam & Picazo-Tadeo, Andrés J. & Tamarit, Cecilio, 2013.
"Are the determinants of CO2 emissions converging among OECD countries?,"
Economics Letters, Elsevier, vol. 118(1), pages 159-162.
- Mariam Camarero & Andrés J. Picazo-Tadeo & Cecilio Tamarit, 2012. "Are the determinants of CO2 emissions converging among OECD countries?," Working Papers 1215, Department of Applied Economics II, Universidad de Valencia.
- Hatzigeorgiou, Emmanouil & Polatidis, Heracles & Haralambopoulos, Dias, 2011. "CO2 emissions, GDP and energy intensity: A multivariate cointegration and causality analysis for Greece, 1977-2007," Applied Energy, Elsevier, vol. 88(4), pages 1377-1385, April.
- Deng, Yongheng & Li, Zhiliang & Quigley, John M., 2012. "Economic returns to energy-efficient investments in the housing market: Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 506-515.
- Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
- Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014.
"Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition,"
Energy Policy, Elsevier, vol. 66(C), pages 630-644.
- Shiwei Yu & Yi-Ming Wei & Ke Wang, 2012. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," CEEP-BIT Working Papers 31, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- 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.
- Lu, Shibao & Zhang, Xiaoling & Bao, Haijun & Skitmore, Martin, 2016. "Review of social water cycle research in a changing environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 132-140.
- Fabian Kesicki & Paul Ekins, 2012. "Marginal abatement cost curves: a call for caution," Climate Policy, Taylor & Francis Journals, vol. 12(2), pages 219-236, March.
- Fleiter, Tobias & Fehrenbach, Daniel & Worrell, Ernst & Eichhammer, Wolfgang, 2012. "Energy efficiency in the German pulp and paper industry – A model-based assessment of saving potentials," Energy, Elsevier, vol. 40(1), pages 84-99.
- Pereira, L.G. & Dias, M.O.S. & Mariano, A.P. & Maciel Filho, R. & Bonomi, A., 2015. "Economic and environmental assessment of n-butanol production in an integrated first and second generation sugarcane biorefinery: Fermentative versus catalytic routes," Applied Energy, Elsevier, vol. 160(C), pages 120-131.
- Baker, Erin & Clarke, Leon & Shittu, Ekundayo, 2008. "Technical change and the marginal cost of abatement," Energy Economics, Elsevier, vol. 30(6), pages 2799-2816, November.
- Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
- Timilsina, Govinda R., 2012. "Economic implications of moving toward global convergence on emission intensities," Policy Research Working Paper Series 6115, The World Bank.
- Wang, Ke & Wei, Yi-Ming, 2014.
"China’s regional industrial energy efficiency and carbon emissions abatement costs,"
Applied Energy, Elsevier, vol. 130(C), pages 617-631.
- Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
- Zhou, Sheng & Tong, Qing & Yu, Sha & Wang, Yu & Chai, Qimin & Zhang, Xiliang, 2012. "Role of non-fossil energy in meeting China's energy and climate target for 2020," Energy Policy, Elsevier, vol. 51(C), pages 14-19.
- Castelo Branco, David A. & Szklo, Alexandre & Gomes, Gabriel & Borba, Bruno S.M.C. & Schaeffer, Roberto, 2011. "Abatement costs of CO2 emissions in the Brazilian oil refining sector," Applied Energy, Elsevier, vol. 88(11), pages 3782-3790.
- Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
- Klepper, Gernot & Peterson, Sonja, 2006.
"Marginal abatement cost curves in general equilibrium: The influence of world energy prices,"
Resource and Energy Economics, Elsevier, vol. 28(1), pages 1-23, January.
- Gernot Klepper & Sonja Peterson, 2004. "Marginal Abatement Cost Curves in General Equilibrium: The Influence of World Energy Prices," Working Papers 2004.136, Fondazione Eni Enrico Mattei.
- Klepper, Gernot & Peterson, Sonja, 2006. "Marginal abatement cost curves in general equilibrium: The influence of world energy prices," Open Access Publications from Kiel Institute for the World Economy 3775, Kiel Institute for the World Economy (IfW Kiel).
- Yuan, Jiahai & Hou, Yong & Xu, Ming, 2012. "China's 2020 carbon intensity target: Consistency, implementations, and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4970-4981.
- Maraseni, Tek Narayan, 2013. "Selecting a CDM investor in China: A critical analysis," Energy Policy, Elsevier, vol. 53(C), pages 484-489.
- Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
- Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013.
"Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis,"
Applied Energy, Elsevier, vol. 104(C), pages 105-116.
- Ke Wang & Yi-Ming Wei & Xian Zhang, 2014. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," CEEP-BIT Working Papers 60, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
- Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
- He, H.Z. & Kua, H.W., 2013. "Lessons for integrated household energy conservation policy from Singapore’s southwest Eco-living Program," Energy Policy, Elsevier, vol. 55(C), pages 105-116.
- AkbostancI, Elif & Tunç, Gül Ipek & Türüt-AsIk, Serap, 2011. "CO2 emissions of Turkish manufacturing industry: A decomposition analysis," Applied Energy, Elsevier, vol. 88(6), pages 2273-2278, June.
- Wei, Chu & Ni, Jinlan & Du, Limin, 2012. "Regional allocation of carbon dioxide abatement in China," China Economic Review, Elsevier, vol. 23(3), pages 552-565.
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Keywords
Energy structure; Carbon intensity target; Carbon emissions; Scenarios prediction; Regression analysis; Component data model; Hangzhou City;All these keywords.
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