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Xinye Zheng

Personal Details

First Name:Xinye
Middle Name:
Last Name:Zheng
Suffix:
RePEc Short-ID:pzh405

Affiliation

School of Economics
Renmin University of China

Beijing, China
http://econ.ruc.edu.cn/

: +86 10-62511102
+86 10-62511091
59 Zhongguancun Street, Beijing, 100872
RePEc:edi:seruccn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
  2. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central Government's Infrastructure Investment across Chinese Regions: A Dynamic Spatial Panel Data Approach," MPRA Paper 50407, University Library of Munich, Germany.
  3. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.
  4. Zheng, Xinye & Wang, Jing & Li, Xilu & Yu, Yihua, 2013. "On the supply of China's healthcare resources in a decentralized healthcare system," MPRA Paper 56030, University Library of Munich, Germany.
  5. Wang, Lanlan & Xu, Jintao & Zheng, Xinye & Qin, Ping, "undated". "Will a Driving Restriction Policy Reduce Car Trips? A Case Study of Beijing, China," Discussion Papers dp-13-11-efd, Resources For the Future.

Articles

  1. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
  2. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.
  3. Jin Guo & Xinye Zheng & Feng Song, 2016. "The Resource Curse and Its Transmission Channels: An Empirical Investigation of Chinese Cities’ Panel Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(6), pages 1325-1334, May.
  4. Xinye Zheng & Feng Song & Yihua Yu & Shunfeng Song, 2015. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 860-876, November.
  5. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
  6. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
  7. Qin, Ping & Zheng, Xinye & Wang, Lanlan, 2014. "Travel mode choice and impact of fuel tax in Beijing," Environment and Development Economics, Cambridge University Press, vol. 19(01), pages 92-110, February.
  8. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
  9. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
  10. Yongsheng Xu & Li Zhang & Xinye Zheng, 2013. "Cost-sharing Rules and Efficient Provisions of Public Goods," Studies in Microeconomics, , vol. 1(2), pages 235-241, December.
  11. Yihua Yu & Li Zhang & Fanghua Li & Xinye Zheng, 2013. "Strategic interaction and the determinants of public health expenditures in China: a spatial panel perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 203-221, February.
  12. Huihui Deng & Xinye Zheng & Nan Huang & Fanghua Li, 2012. "Strategic Interaction in Spending on Environmental Protection: Spatial Evidence from Chinese Cities," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(5), pages 103-120, September.
  13. Wen Wang & Xinye Zheng & Zhirong Zhao, 2012. "Fiscal Reform and Public Education Spending: A Quasi-natural Experiment of Fiscal Decentralization in China," Publius: The Journal of Federalism, Oxford University Press, vol. 42(2), pages 334-356, April.
  14. 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.
  15. Li Zhang & Xinye Zheng, 2009. "Budget Structure and Pollution Control: A Cross-country Analysis and Implications for China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(4), pages 88-103.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central Government's Infrastructure Investment across Chinese Regions: A Dynamic Spatial Panel Data Approach," MPRA Paper 50407, University Library of Munich, Germany.

    Cited by:

    1. Lie Ma & Dandan Li & Xiaobo Tao & Haifeng Dong & Bei He & Xiaosu Ye, 2017. "Inequality, Bi-Polarization and Mobility of Urban Infrastructure Investment in China’s Urban System," Sustainability, MDPI, Open Access Journal, vol. 9(9), pages 1-19, September.
    2. Yingxin Shi & Mototsugu Fukushige, 2013. "Long-Run Fiscal Multiplier for Autonomous Prefectures in China," Discussion Papers in Economics and Business 13-10, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
    3. Huasheng Song & Min Zhang & Ruqu Wang, 2016. "Amenities and spatial talent distribution: evidence from the Chinese IT industry," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(3), pages 517-533.
    4. Mototsugu Fukushige & Yingxin Shi, 2013. "Intergovernmental Fiscal Relationships in China: A Simple Model Based on the Nonsymmetric Nash Solution," Discussion Papers in Economics and Business 13-21, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
    5. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    6. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.
    7. Wu, Yan & Heerink, Nico, 2016. "Foreign direct investment, fiscal decentralization and land conflicts in China," China Economic Review, Elsevier, vol. 38(C), pages 92-107.
    8. Biswajit Mohanty & N.R. Bhanumurthy & Ananya Ghosh Dastidar, 2017. "What explains regional imbalances in public infrastructure expenditure? Evidence from Indian states," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 113-139, December.
    9. Katarzyna Kopczewska, 2017. "Kumulatywny vs. panelowy model przestrzenny w modelowaniu inwestycji lokalnych polskich gmin w latach 1995–2015," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 113-128.
    10. Celbis, M.G. & Crombrugghe, D. de & Muysken, J., 2014. "Public investment and regional politics: The case of Turkey," MERIT Working Papers 020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

  2. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.

    Cited by:

    1. Jianhuan Huang & Jiejin Xia, 2016. "Regional Competition, Heterogeneous Factors and Pollution Intensity in China: A Spatial Econometric Analysis," Sustainability, MDPI, Open Access Journal, vol. 8(2), pages 1-26, February.
    2. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
    3. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    4. Hezareh, Reza & Shayanmehr, Samira & Darbandi, Elham & Schieffer, Jack, 2017. "Energy Consumption and Environmental Pollution: Evidence from the Spatial Panel Simultaneous-Equations Model of Developing Countries," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252818, Southern Agricultural Economics Association.

  3. Zheng, Xinye & Wang, Jing & Li, Xilu & Yu, Yihua, 2013. "On the supply of China's healthcare resources in a decentralized healthcare system," MPRA Paper 56030, University Library of Munich, Germany.

    Cited by:

    1. Qasim Raza & Hafsa Hina, 2016. "Fiscal Decentralisation, Provincial Economic Growth and Spillover Effects: A Spatial Panel Data Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 743-760.

Articles

  1. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.

    Cited by:

    1. Hung, Ming-Feng & Chie, Bin-Tzong, 2017. "The long-run performance of increasing-block pricing in Taiwan's residential electricity sector," Energy Policy, Elsevier, vol. 109(C), pages 782-793.
    2. Saha, Debalina & Bhattacharya, Rabindra N., 2018. "An analysis of elasticity of electricity demand in West Bengal, India: Some policy lessons learnt," Energy Policy, Elsevier, vol. 114(C), pages 591-597.
    3. Wei, Sun & Yanfeng, Xu, 2017. "Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform," Energy, Elsevier, vol. 118(C), pages 969-984.
    4. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    5. Seier, Maximilian & Schebek, Liselotte, 2017. "Model-based investigation of residual load smoothing through dynamic electricity purchase: The case of wastewater treatment plants in Germany," Applied Energy, Elsevier, vol. 205(C), pages 210-224.
    6. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    7. Salim, Ruhul & Yao, Yao & Chen, George S., 2017. "Does human capital matter for energy consumption in China?," Energy Economics, Elsevier, vol. 67(C), pages 49-59.

  2. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.

    Cited by:

    1. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2017. "Can stock market investors hedge energy risk? Evidence from Asia," Energy Economics, Elsevier, vol. 66(C), pages 559-570.
    2. BENKRAIEM, Ramzi & Lahiani, Amine & MILOUDI, Anthony & Shahbaz, Muhammad, 2018. "New Insights into the US Stock Market Reactions to Energy Price Shocks," MPRA Paper 84778, University Library of Munich, Germany, revised 18 Feb 2018.

  3. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.

    Cited by:

    1. Chun Deng & Jie-Fang Dong, 2016. "Coal Consumption Reduction in Shandong Province: A Dynamic Vector Autoregression Model," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-16, August.
    2. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    3. Xu, Bin & Lin, Boqiang, 2016. "Differences in regional emissions in China's transport sector: Determinants and reduction strategies," Energy, Elsevier, vol. 95(C), pages 459-470.
    4. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    5. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
    6. Fuentes-Cortés, Luis Fabián & Ma, Yan & Ponce-Ortega, Jose María & Ruiz-Mercado, Gerardo & Zavala, Victor M., 2018. "Valuation of water and emissions in energy systems," Applied Energy, Elsevier, vol. 210(C), pages 518-528.
    7. Li, Nan & Ma, Ding & Chen, Wenying, 2017. "Quantifying the impacts of decarbonisation in China’s cement sector: A perspective from an integrated assessment approach," Applied Energy, Elsevier, vol. 185(P2), pages 1840-1848.
    8. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    9. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    10. Mardones, Cristian & Baeza, Nicolas, 2018. "Economic and environmental effects of a CO2 tax in Latin American countries," Energy Policy, Elsevier, vol. 114(C), pages 262-273.
    11. Li, Zhaoling & Dai, Hancheng & Sun, Lu & Xie, Yang & Liu, Zhu & Wang, Peng & Yabar, Helmut, 2018. "Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China," Energy Policy, Elsevier, vol. 113(C), pages 9-19.
    12. Chen, Hua-Qi & Wang, Xiuping & He, Li & Chen, Ping & Wan, Yuehua & Yang, Lingyun & Jiang, Shuian, 2016. "Chinese energy and fuels research priorities and trend: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 966-975.
    13. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    14. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    15. Arce, Guadalupe & López, Luis Antonio & Guan, Dabo, 2016. "Carbon emissions embodied in international trade: The post-China era," Applied Energy, Elsevier, vol. 184(C), pages 1063-1072.
    16. Wang, Chang'an & Wu, Song & Lv, Qiang & Liu, Xuan & Chen, Wufeng & Che, Defu, 2017. "Study on correlations of coal chemical properties based on database of real-time data," Applied Energy, Elsevier, vol. 204(C), pages 1115-1123.

  4. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.

    Cited by:

    1. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    2. Zhang, Yi & Ji, Qiang & Fan, Ying, 2018. "The price and income elasticity of China's natural gas demand: A multi-sectoral perspective," Energy Policy, Elsevier, vol. 113(C), pages 332-341.
    3. Biresselioglu, Mehmet Efe & Yelkenci, Tezer, 2016. "Scrutinizing the causality relationships between prices, production and consumption of fossil fuels: A panel data approach," Energy, Elsevier, vol. 102(C), pages 44-53.
    4. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
    5. Li, Lanlan & Gong, Chengzhu & Tian, Shizhong & Jiao, Jianling, 2016. "The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation," Energy, Elsevier, vol. 96(C), pages 48-58.
    6. Verdeil, Éric & Arik, Elvan & Bolzon, Hugo & Markoum, Jimmy, 2015. "Governing the transition to natural gas in Mediteranean Metropolis: The case of Cairo, Istanbul and Sfax (Tunisia)," Energy Policy, Elsevier, vol. 78(C), pages 235-245.
    7. Yu, Feng & Xu, Xiaozhong, 2014. "A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network," Applied Energy, Elsevier, vol. 134(C), pages 102-113.
    8. Sánchez, Luis & Reyes, Orlando, 2016. "La demanda de gasolinas, gas licuado de petróleo y electricidad en el Ecuador: elementos para una reforma fiscal ambiental," Documentos de Proyectos 706, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Copiello, Sergio & Grillenzoni, Carlo, 2017. "Is the cold the only reason why we heat our homes? Empirical evidence from spatial series data," Applied Energy, Elsevier, vol. 193(C), pages 491-506.
    10. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    11. Gong, Chengzhu & Yu, Shiwei & Zhu, Kejun & Hailu, Atakelty, 2016. "Evaluating the influence of increasing block tariffs in residential gas sector using agent-based computational economics," Energy Policy, Elsevier, vol. 92(C), pages 334-347.

  5. Qin, Ping & Zheng, Xinye & Wang, Lanlan, 2014. "Travel mode choice and impact of fuel tax in Beijing," Environment and Development Economics, Cambridge University Press, vol. 19(01), pages 92-110, February.

    Cited by:

    1. Perrings, Charles, 2014. "Environment and development economics 20 years on," Environment and Development Economics, Cambridge University Press, vol. 19(03), pages 333-366, June.

  6. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.

    Cited by:

    1. Guo, Jin & Huang, Ying & Wei, Chu, 2015. "North–South debate on district heating: Evidence from a household survey," Energy Policy, Elsevier, vol. 86(C), pages 295-302.
    2. Hu, Shan & Yan, Da & Cui, Ying & Guo, Siyue, 2016. "Urban residential heating in hot summer and cold winter zones of China—Status, modeling, and scenarios to 2030," Energy Policy, Elsevier, vol. 92(C), pages 158-170.
    3. Jiang, Zhixiang & Dai, Yanhui & Luo, Xianxiang & Liu, Guocheng & Wang, Hefang & Zheng, Hao & Wang, Zhenyu, 2017. "Assessment of bioenergy development potential and its environmental impact for rural household energy consumption: A case study in Shandong, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1153-1161.
    4. Jingwen Wu & Bingdong Hou & Ruo-Yu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2017. "Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-16, April.
    5. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    6. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, Open Access Journal, vol. 8(12), pages 1-20, December.
    7. Zhou, Hui & Bukenya, James O., 2016. "Information inefficiency and willingness-to-pay for energy-efficient technology: A stated preference approach for China Energy Label," Energy Policy, Elsevier, vol. 91(C), pages 12-21.
    8. Jingwen Wu & Bingdong Hou & Ruoyu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2018. "Residential fuel choice in the rural: A field research on two counties of North China," CEEP-BIT Working Papers 109, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    10. Herrerias, M.J. & Aller, Carlos & Ordóñez, Javier, 2017. "Residential energy consumption: A convergence analysis across Chinese regions," Energy Economics, Elsevier, vol. 62(C), pages 371-381.
    11. Guo, Fei & Pachauri, Shonali & Cofala, Janusz, 2017. "Cost-effective subsidy incentives for room air conditioners in China: An analysis based on a McFadden-type discrete choice model," Energy Policy, Elsevier, vol. 110(C), pages 375-385.
    12. Ma, Ben & Yu, Yihua & Urban, Frauke, 2018. "Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters," Energy Policy, Elsevier, vol. 113(C), pages 559-570.
    13. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
    14. Tharinya Supasa & Shu-San Hsiau & Shih-Mo Lin & Wongkot Wongsapai & Jiunn-Chi Wu, 2017. "Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-22, December.
    15. Xiaoxia Zhang & Tonggang Zha & Yun Zhao & Jing Qin & Zhiyuan Lyv & Zhijie Ma & Haiyan Yu & Yushen Zhu & Gaomin Wang & Felix Tettenborn & Benedikt Freiherr von Lueninck, 2017. "Sustainable Effects of Small Hydropower Substituting Firewood Program in Majiang County, Guizhou Province, China," Sustainability, MDPI, Open Access Journal, vol. 9(6), pages 1-16, June.
    16. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.

  7. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    See citations under working paper version above.
  8. Yihua Yu & Li Zhang & Fanghua Li & Xinye Zheng, 2013. "Strategic interaction and the determinants of public health expenditures in China: a spatial panel perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 203-221, February.

    Cited by:

    1. Jülide Yildirim & Nadir Öcal, 2016. "Military expenditures, economic growth and spatial spillovers," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(1), pages 87-104, February.
    2. Matteo Lippi Bruni & Irene Mammi, 2017. "Spatial effects in hospital expenditures: A district level analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26, pages 63-77, September.
    3. Canfei He, 2016. "Economic Transition, Urban Dynamics, and Economic Development in China: An Introduction to the Special Issue," Growth and Change, Wiley Blackwell, vol. 47(1), pages 4-8, March.
    4. Jorge Ferreira & Alexandre Alves & Emilie Caldeira, 2016. "Elections and externalities of health expenditures: Spatial patterns and opportunism in the local budget allocation," ERSA conference papers ersa16p933, European Regional Science Association.
    5. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
    6. Zheng, Xinye & Wang, Jing & Li, Xilu & Yu, Yihua, 2013. "On the supply of China's healthcare resources in a decentralized healthcare system," MPRA Paper 56030, University Library of Munich, Germany.
    7. Nakazawa, Katsuyoshi & Matsuoka, Hirokazu, 2016. "Change in Strategic Interaction after Introducing Policy," MPRA Paper 73512, University Library of Munich, Germany.
    8. Massimiliano Agovino & Giuliana Parodi, 2015. "Human Development and the Determinants of the Incidence of Civilian Disability Pensions in Italy: A Spatial Panel Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 553-576, June.

  9. Huihui Deng & Xinye Zheng & Nan Huang & Fanghua Li, 2012. "Strategic Interaction in Spending on Environmental Protection: Spatial Evidence from Chinese Cities," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(5), pages 103-120, September.

    Cited by:

    1. Siqi Zheng & Cong Sun & Ye Qi & Matthew E. Kahn, 2013. "The Evolving Geography of China's Industrial Production: Implications for Pollution Dynamics and Urban Quality of Life," NBER Working Papers 19624, National Bureau of Economic Research, Inc.
    2. Fernando A. López & Pedro J. Martínez-Ortiz & Juan-Gabriel Cegarra-Navarro, 2017. "Spatial spillovers in public expenditure on a municipal level in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 39-65, January.
    3. López Hernández, Fernando A. & Martínez Ortiz, Pedro José & Cegarra Navarro, Juan Gabriel, 2015. "Interacción espacial en el gasto en servicios públicos de las entidades locales. Un enfoque panel mediante modelos SUR /Spatial Interaction in Spending on Public Services by Local Governments. A Panel," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 81-100, Enero.

  10. Wen Wang & Xinye Zheng & Zhirong Zhao, 2012. "Fiscal Reform and Public Education Spending: A Quasi-natural Experiment of Fiscal Decentralization in China," Publius: The Journal of Federalism, Oxford University Press, vol. 42(2), pages 334-356, April.

    Cited by:

    1. Liu, Yongzheng & Alm, James, 2016. "“Province-Managing-County” fiscal reform, land expansion, and urban growth in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 82-100.
    2. Xiaojia Bao & Solomon Hsiang, 2016. "Transfer for Disasters: Governmental Responsiveness to Typhoon Risks in China," WISE Working Papers 2014-07-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. James Alm & Yongzheng Liu, 2014. "China's Tax-for-Fee Reform and Village Inequality," Oxford Development Studies, Taylor & Francis Journals, vol. 42(1), pages 38-64, March.
    4. Yongzheng Liu & Jorge Martinez-Vazquez & Baoyun Qiao, 2014. "Falling Short: Intergovernmental Transfers in China," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1423, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    5. Tapan Sarker, 2013. "Taxing for the future: an intergenerational perspective," Chapters,in: The Asian Century, Sustainable Growth and Climate Change, chapter 4, pages 85-110 Edward Elgar Publishing.
    6. Yi Long & Christopher Nyland & Russell Smyth, 2017. "Fiscal Decentralisation, the Knowledge Economy and School Teachers’ Wages in Urban China," Journal of Development Studies, Taylor & Francis Journals, vol. 53(10), pages 1731-1747, October.
    7. Wang, Zhiguo & Ma, Liang, 2012. "New Development of Fiscal Decentralization in China," MPRA Paper 36918, University Library of Munich, Germany.
    8. Zhiguo Wang & Liang Ma, 2014. "Fiscal Decentralization in China: A Literature Review," Annals of Economics and Finance, Society for AEF, vol. 15(1), pages 51-65, May.
    9. Jian Huang & Longjin Chen & Jianjun Li & Wim Groot, 2017. "Expenditure Decentralization and Citizen Satisfaction with Healthcare: Evidence from Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 333-344, August.

  11. 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.

    Cited by:

    1. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    2. Atalla, Tarek & Bean, Patrick, 2017. "Determinants of energy productivity in 39 countries: An empirical investigation," Energy Economics, Elsevier, vol. 62(C), pages 217-229.
    3. Lei Jiang & Minhe Ji, 2016. "China’s Energy Intensity, Determinants and Spatial Effects," Sustainability, MDPI, Open Access Journal, vol. 8(6), pages 1-15, June.
    4. 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.
    5. 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.
    6. Adom, Philip Kofi & Amuakwa-Mensah, Franklin, 2016. "What drives the energy saving role of FDI and industrialization in East Africa?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 925-942.
    7. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    8. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
    9. Elliott, Robert J.R. & Sun, Puyang & Zhu, Tong, 2017. "The direct and indirect effect of urbanization on energy intensity: A province-level study for China," Energy, Elsevier, vol. 123(C), pages 677-692.
    10. Adom, Philip Kofi, 2015. "Business cycle and economic-wide energy intensity: The implications for energy conservation policy in Algeria," Energy, Elsevier, vol. 88(C), pages 334-350.
    11. Amira Ben Hammamia & Ahlem Dakhlaoui & Abdessalem Abbassi, 2014. "Analysis of the Decomposition of Energy Intensity in Tunisia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 420-426.
    12. Saeed Moshiri and Nana Duah, 2016. "Changes in Energy Intensity in Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    13. Dayong Zhang and David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    14. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    15. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    16. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    17. Hua Liao & Ce Wang & Zhi-Shuang Zhu & Xiao-Wei Ma, 2012. "Structural decomposition analysis on energy intensity changes at regional level," CEEP-BIT Working Papers 40, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    19. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wang, Jia, 2016. "Interregional differences of coal carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 96(C), pages 1-13.
    20. Chen, Joyce J. & Pitt, Mark M., 2017. "Sources of change in the demand for energy by Indonesian households: 1980–2002," Energy Economics, Elsevier, vol. 61(C), pages 147-161.
    21. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    22. 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.
    23. Akbar Ullah & Karim Khan & Munazza Akhtar, 2014. "Energy Intensity: A Decomposition Exercise for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(4), pages 531-549.
    24. Wu, Jianxin & Wu, Yanrui & Se Cheong, Tsun & Yu, Yanni, 2018. "Distribution dynamics of energy intensity in Chinese cities," Applied Energy, Elsevier, vol. 211(C), pages 875-889.
    25. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    26. 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.
    27. Zhang, Dayong & Cao, Hong & Wei, Yi-Ming, 2016. "Identifying the determinants of energy intensity in China: A Bayesian averaging approach," Applied Energy, Elsevier, vol. 168(C), pages 672-682.
    28. Zhao, Xingrong & Zhang, Xi & Shao, Shuai, 2016. "Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment," Energy Economics, Elsevier, vol. 60(C), pages 275-292.
    29. Li, Fangyi & Song, Zhouying & Liu, Weidong, 2014. "China's energy consumption under the global economic crisis: Decomposition and sectoral analysis," Energy Policy, Elsevier, vol. 64(C), pages 193-202.
    30. Robert J R Elliott & Puyang Sun & Tong Zhu, 2014. "Urbanization and Energy Intensity: A Province-level Study for China," Discussion Papers 14-05, Department of Economics, University of Birmingham.
    31. Massimo Filippini & Lin Zhang, 2013. "Measurement of the “Underlying energy efficiency” in Chinese provinces," CER-ETH Economics working paper series 13/183, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    32. Jiang, Xuemei & Zhu, Kunfu & Green, Christopher, 2015. "The energy efficiency advantage of foreign-invested enterprises in China and the role of structural differences," China Economic Review, Elsevier, vol. 34(C), pages 225-235.
    33. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-TRA: Transition Economics (3) 2013-10-11 2014-04-11 2015-02-11. Author is listed
  2. NEP-TRE: Transport Economics (3) 2013-10-11 2014-04-11 2015-02-11. Author is listed
  3. NEP-URE: Urban & Real Estate Economics (3) 2013-10-11 2014-04-11 2015-02-11. Author is listed
  4. NEP-CDM: Collective Decision-Making (1) 2013-10-11. Author is listed
  5. NEP-CNA: China (1) 2015-02-11. Author is listed
  6. NEP-EFF: Efficiency & Productivity (1) 2013-10-11. Author is listed
  7. NEP-GEO: Economic Geography (1) 2013-10-11. Author is listed
  8. NEP-GER: German Papers (1) 2014-04-11. Author is listed
  9. NEP-PBE: Public Economics (1) 2013-10-11. Author is listed

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