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Reductions in emissions of local air pollutants and co-benefits of Chinese energy policy: a Shanghai case study

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  • Changhong, Chen
  • Bingyan, Wang
  • Qingyan, Fu
  • Green, Collin
  • Streets, David G.

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  • Changhong, Chen & Bingyan, Wang & Qingyan, Fu & Green, Collin & Streets, David G., 2006. "Reductions in emissions of local air pollutants and co-benefits of Chinese energy policy: a Shanghai case study," Energy Policy, Elsevier, vol. 34(6), pages 754-762, April.
  • Handle: RePEc:eee:enepol:v:34:y:2006:i:6:p:754-762
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    1. Gnansounou, Edgard & Dong, Jun, 2004. "Opportunity for inter-regional integration of electricity markets: the case of Shandong and Shanghai in East China," Energy Policy, Elsevier, vol. 32(15), pages 1737-1751, October.
    2. Gielen, Dolf & Changhong, Chen, 2001. "The CO2 emission reduction benefits of Chinese energy policies and environmental policies:: A case study for Shanghai, period 1995-2020," Ecological Economics, Elsevier, vol. 39(2), pages 257-270, November.
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    2. Hao, Yu & Peng, Hui, 2017. "On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 68(C), pages 31-43.
    3. Shahbaz, Muhammad & Shafiullah, Muhammad & Khalid, Usman & Song, Malin, 2020. "A nonparametric analysis of energy environmental Kuznets Curve in Chinese Provinces," Energy Economics, Elsevier, vol. 89(C).
    4. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    5. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    6. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
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    10. Wang, Can & Ye, Minhua & Cai, Wenjia & Chen, Jining, 2014. "The value of a clear, long-term climate policy agenda: A case study of China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 125(C), pages 276-288.
    11. Mondal, Md. Alam Hossain & Bryan, Elizabeth & Ringler, Claudia & Rosegrant, Mark, 2017. "Ethiopian power sector development: Renewable based universal electricity access and export strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 11-20.
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    13. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.
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    15. Mondal, Md. Alam Hossain & Kennedy, Scott & Mezher, Toufic, 2014. "Long-term optimization of United Arab Emirates energy future: Policy implications," Applied Energy, Elsevier, vol. 114(C), pages 466-474.
    16. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    17. Ma, Zhixiao & Xue, Bing & Geng, Yong & Ren, Wanxia & Fujita, Tsuyoshi & Zhang, Zilong & Puppim de Oliveira, Jose A. & Jacques, David A. & Xi, Fengming, 2013. "Co-benefits analysis on climate change and environmental effects of wind-power: A case study from Xinjiang, China," Renewable Energy, Elsevier, vol. 57(C), pages 35-42.
    18. Wu, Haitao & Hao, Yu & Weng, Jia-Hsi, 2019. "How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models," Energy Policy, Elsevier, vol. 127(C), pages 24-38.
    19. Federico Divina & Miguel García Torres & Francisco A. Goméz Vela & José Luis Vázquez Noguera, 2019. "A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings," Energies, MDPI, vol. 12(10), pages 1-23, May.
    20. Zhang, Qianxue & Liao, Hua & Hao, Yu, 2018. "Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces," Energy, Elsevier, vol. 150(C), pages 527-543.
    21. Dong, C. & Huang, G.H. & Cai, Y.P. & Liu, Y., 2012. "An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city," Energy, Elsevier, vol. 37(1), pages 673-688.
    22. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    23. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    24. Li, Li & Chen, Changhong & Xie, Shichen & Huang, Cheng & Cheng, Zhen & Wang, Hongli & Wang, Yangjun & Huang, Haiying & Lu, Jun & Dhakal, Shobhakar, 2010. "Energy demand and carbon emissions under different development scenarios for Shanghai, China," Energy Policy, Elsevier, vol. 38(9), pages 4797-4807, September.
    25. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.

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