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Xiao-Bing Zhang

Personal Details

First Name:Xiao-Bing
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh393
http://sites.google.com/site/xbzhweb

Affiliation

(90%) School of Economics
Renmin University of China

Beijing, China
http://econ.ruc.edu.cn/
RePEc:edi:seruccn (more details at EDIRC)

(10%) Institutionen för Nationalekonomi med Statistik
Handelshögskolan
Göteborgs Universitet

Göteborg, Sweden
https://www.gu.se/handelshogskolan/nationalekonomi-statistik
RePEc:edi:naiguse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Coria, Jessica & Zhang, Xiao-Bing, 2016. "Optimal Environmental Road Pricing and Integrated Daily Commuting Patterns," Working Papers in Economics 682, University of Gothenburg, Department of Economics.
  2. Coria, Jessica & Zhang, Xiao-Bing, 2015. "The Harrington Paradox Squared," Working Papers in Economics 608, University of Gothenburg, Department of Economics.
  3. Zhang, Xiao-Bing & Hassen, Sied, 2014. "Household fuel choice in urban China: A random effect generalized probit analysis," Working Papers in Economics 595, University of Gothenburg, Department of Economics.
  4. Zhang, Xiao-Bing, 2014. "Strategic Carbon Taxation and Energy Pricing: The Role of Innovation," Working Papers in Economics 589, University of Gothenburg, Department of Economics.

Articles

  1. Li Li & Junqi Liu & Lei Zhu & Xiao-Bing Zhang, 2020. "How to design a dynamic feed-in tariffs mechanism for renewables – a real options approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4352-4366, July.
  2. Zhang, Xiao-Bing & Fei, Yinxin & Zheng, Ying & Zhang, Lei, 2020. "Price ceilings as focal points to reach price uniformity: Evidence from a Chinese gasoline market," Energy Economics, Elsevier, vol. 92(C).
  3. Qin, Ping. & Chen, Peilin. & Zhang, Xiao-Bing. & Xie, Lunyu., 2020. "Coal taxation reform in China and its distributional effects on residential consumers," Energy Policy, Elsevier, vol. 139(C).
  4. Li, Yating & Fei, Yinxin & Zhang, Xiao-Bing & Qin, Ping, 2019. "Household appliance ownership and income inequality: Evidence from micro data in China," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
  5. Wang, Xu & Zhang, Xiao-Bing & Zhu, Lei, 2019. "Imperfect market, emissions trading scheme, and technology adoption: A case study of an energy-intensive sector," Energy Economics, Elsevier, vol. 81(C), pages 142-158.
  6. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
  7. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.
  8. Tan-Soo, Jie-Sheng & Qin, Ping & Zhang, Xiao-Bing, 2018. "Power stations emissions externalities from avoidance behaviors towards air pollution: Evidence from Beijing," Energy Policy, Elsevier, vol. 121(C), pages 336-345.
  9. Zhang, Xiao-Bing & Hennlock, Magnus, 2018. "The benefits of international cooperation under climate uncertainty: a dynamic game analysis," Environment and Development Economics, Cambridge University Press, vol. 23(4), pages 452-477, August.
  10. Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017. "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, vol. 63(C), pages 332-347.
  11. Zhang, Xiao-Bing & Zhu, Lei, 2017. "Strategic carbon taxation and energy pricing under the threat of climate tipping events," Economic Modelling, Elsevier, vol. 60(C), pages 352-363.
  12. Zhang, Xiao-Bing & Hassen, Sied, 2017. "Household fuel choice in urban China: evidence from panel data," Environment and Development Economics, Cambridge University Press, vol. 22(4), pages 392-413, August.
  13. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
  14. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.
  15. Jessica Coria & Xiao-Bing Zhang, 2015. "State-Dependent Enforcement to Foster the Adoption of New Technologies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 359-381, October.
  16. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
  17. Xiao-Bing Zhang & Ying Fan, 2011. "Optimal acquisition strategy for China's strategic petroleum reserve: a cost estimation study through dynamic programming," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(1), pages 24-42.
  18. Fan, Ying & Zhang, Xiao-Bing, 2010. "Modelling the strategic petroleum reserves of China and India by a stochastic dynamic game," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 505-519, July.
  19. Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.

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. Coria, Jessica & Zhang, Xiao-Bing, 2016. "Optimal Environmental Road Pricing and Integrated Daily Commuting Patterns," Working Papers in Economics 682, University of Gothenburg, Department of Economics.

    Cited by:

    1. André de Palma & Shaghayegh Vosough & Robin Lindsey, 2020. "Pricing vehicle emissions and congestion using a dynamic traffic network simulator," THEMA Working Papers 2020-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  2. Zhang, Xiao-Bing & Hassen, Sied, 2014. "Household fuel choice in urban China: A random effect generalized probit analysis," Working Papers in Economics 595, University of Gothenburg, Department of Economics.

    Cited by:

    1. Bingdong Hou & Xin Tang & Chunbo Ma & Li Liu & Yi-Ming Wei & Hua Liao, 2018. "Cooking fuel choice in rural China: results from microdata," CEEP-BIT Working Papers 110, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    3. Liao, Hua & Tang, Xin & Wei, Yi-Ming, 2016. "Solid fuel use in rural China and its health effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 900-908.

Articles

  1. Li Li & Junqi Liu & Lei Zhu & Xiao-Bing Zhang, 2020. "How to design a dynamic feed-in tariffs mechanism for renewables – a real options approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4352-4366, July.

    Cited by:

    1. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    2. Miraj Ahmed Bhuiyan & Jaehyung An & Alexey Mikhaylov & Nikita Moiseev & Mir Sayed Shah Danish, 2021. "Renewable Energy Deployment and COVID-19 Measures for Sustainable Development," Sustainability, MDPI, vol. 13(8), pages 1-15, April.

  2. Zhang, Xiao-Bing & Fei, Yinxin & Zheng, Ying & Zhang, Lei, 2020. "Price ceilings as focal points to reach price uniformity: Evidence from a Chinese gasoline market," Energy Economics, Elsevier, vol. 92(C).

    Cited by:

    1. Markus Brueckner & Haidi Hong & Joaquin Vespignani, 2023. "Regulation of Petrol and Diesel Prices and their Effects on GDP Growth: Evidence from China," CAMA Working Papers 2023-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Cui, Jian & Yang, Hanfang & Wang, Yifan & Yang, Caili, 2023. "Dynamics of the gas retail market under China's price cap regulation," Energy Policy, Elsevier, vol. 174(C).
    3. Markus Brueckner & Haidi Hong & Joaquin Vespignani, 2023. "Effects of Government Regulation of Diesel and Petrol Prices on GDP Growth: Evidence from China," ANU Working Papers in Economics and Econometrics 2023-690, Australian National University, College of Business and Economics, School of Economics.

  3. Qin, Ping. & Chen, Peilin. & Zhang, Xiao-Bing. & Xie, Lunyu., 2020. "Coal taxation reform in China and its distributional effects on residential consumers," Energy Policy, Elsevier, vol. 139(C).

    Cited by:

    1. Sun, Xiaohua & Ren, Junlin & Wang, Yun, 2022. "The impact of resource taxation on resource curse: Evidence from Chinese resource tax policy," Resources Policy, Elsevier, vol. 78(C).

  4. Li, Yating & Fei, Yinxin & Zhang, Xiao-Bing & Qin, Ping, 2019. "Household appliance ownership and income inequality: Evidence from micro data in China," China Economic Review, Elsevier, vol. 56(C), pages 1-1.

    Cited by:

    1. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
    2. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    3. Nsangou, Jean Calvin & Kenfack, Joseph & Nzotcha, Urbain & Ngohe Ekam, Paul Salomon & Voufo, Joseph & Tamo, Thomas T., 2022. "Explaining household electricity consumption using quantile regression, decision tree and artificial neural network," Energy, Elsevier, vol. 250(C).
    4. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).

  5. Wang, Xu & Zhang, Xiao-Bing & Zhu, Lei, 2019. "Imperfect market, emissions trading scheme, and technology adoption: A case study of an energy-intensive sector," Energy Economics, Elsevier, vol. 81(C), pages 142-158.

    Cited by:

    1. Bingxin Zeng & Lei Zhu, 2019. "Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Tang, Maogang & Li, Zhen & Hu, Fengxia & Wu, Baijun & Zhang, Ruihan, 2021. "Market failure, tradable discharge permit, and pollution reduction: Evidence from industrial firms in China," Ecological Economics, Elsevier, vol. 189(C).
    3. Yang, Mian & Yuan, Yining & Sun, Chuanwang, 2021. "The economic impacts of China's differential electricity pricing policy: Evidence from energy-intensive firms in Hunan Province," Energy Economics, Elsevier, vol. 94(C).
    4. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    5. Sanjay Patnaik, 2020. "Emissions permit allocation and strategic firm behavior: Evidence from the oil sector in the European Union emissions trading scheme," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 976-995, March.
    6. Wang, Ge & Zhang, Qi & Su, Bin & Shen, Bo & Li, Yan & Li, Zhengjun, 2021. "Coordination of tradable carbon emission permits market and renewable electricity certificates market in China," Energy Economics, Elsevier, vol. 93(C).
    7. Chen, Junlong & Sun, Chaoqun & Shi, Jiayan & Liu, Jiali, 2022. "Technology R&D and sharing in carbon emission reduction in a duopoly," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    8. Maogang Tang & Silu Cheng & Wenqing Guo & Weibiao Ma & Fengxia Hu, 2023. "Relationship between carbon emission trading schemes and companies’ total factor productivity: evidence from listed companies in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11735-11767, October.
    9. Oluleye, Gbemi & Gandiglio, Marta & Santarelli, Massimo & Hawkes, Adam, 2021. "Pathways to commercialisation of biogas fuelled solid oxide fuel cells in European wastewater treatment plants," Applied Energy, Elsevier, vol. 282(PA).

  6. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.

    Cited by:

    1. Pan, Yuling & Dong, Feng, 2023. "Green finance policy coupling effect of fossil energy use rights trading and renewable energy certificates trading on low carbon economy: Taking China as an example," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 658-679.
    2. Lin, Boqiang & Raza, Muhammad Yousaf, 2020. "Analysis of energy security indicators and CO2 emissions. A case from a developing economy," Energy, Elsevier, vol. 200(C).
    3. Nong, Huifu & Liu, Hongxiao, 2023. "Measuring the frequency and quantile connectedness between policy categories and global oil price," Resources Policy, Elsevier, vol. 83(C).
    4. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    5. Zolfaghari, Mehdi, 2023. "How does US tariff policy affect the relationship among crude oil, the US dollar and metal markets?," Resources Policy, Elsevier, vol. 85(PB).
    6. Qian, Lanping & Bai, Yang & Wang, Wenya & Meng, Fanyi & Chen, Zhisong, 2023. "Natural gas crisis, system resilience and emergency responses: A China case," Energy, Elsevier, vol. 276(C).
    7. Zhang, Yue-Jun & Yan, Xing-Xing, 2020. "The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 750-768.
    8. Aleksei V. Bogoviz & Yulia V. Ragulina & Svetlana V. Lobova & Alexander N. Alekseev, 2019. "A quantitative Analysis of Energy Security Performance by Brazil, Russia, India, China, and South Africa in 1990-2015," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 244-250.
    9. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).
    10. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2020. "Chinese renewable energy industries’ boom and recession: Evidence from bubble detection procedure," Energy Policy, Elsevier, vol. 138(C).
    11. He, Feng & Ma, Feng & Wang, Ziwei & Yang, Bohan, 2021. "Asymmetric volatility spillover between oil-importing and oil-exporting countries' economic policy uncertainty and China's energy sector," International Review of Financial Analysis, Elsevier, vol. 75(C).

  7. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.

    Cited by:

    1. Vega, F. & Baena-Moreno, F.M. & Gallego Fernández, Luz M. & Portillo, E. & Navarrete, B. & Zhang, Zhien, 2020. "Current status of CO2 chemical absorption research applied to CCS: Towards full deployment at industrial scale," Applied Energy, Elsevier, vol. 260(C).
    2. Mounia Louhibi–Bouiri & Messaoud Hachemi, 2018. "Methane emissions from the Algerian natural gas pipelines transportation: Exploring process to reduce environmental consequences," Energy & Environment, , vol. 29(7), pages 1247-1262, November.
    3. Ma, Qian & Chang, Yuan & Yuan, Bo & Song, Zhaozheng & Xue, Jinjun & Jiang, Qingzhe, 2022. "Utilizing carbon dioxide from refinery flue gas for methanol production: System design and assessment," Energy, Elsevier, vol. 249(C).
    4. Barry Rabe & Claire Kaliban & Isabel Englehart, 2020. "Taxing Flaring and the Politics of State Methane Release Policy," Review of Policy Research, Policy Studies Organization, vol. 37(1), pages 6-38, January.
    5. Xiaowei Ma & Chuandong Li & Bin Li, 2019. "Carbon Emissions of China’s Cement Packaging: Life Cycle Assessment," Sustainability, MDPI, vol. 11(20), pages 1-18, October.

  8. Tan-Soo, Jie-Sheng & Qin, Ping & Zhang, Xiao-Bing, 2018. "Power stations emissions externalities from avoidance behaviors towards air pollution: Evidence from Beijing," Energy Policy, Elsevier, vol. 121(C), pages 336-345.

    Cited by:

    1. Tan-Soo, Jie-Sheng & Li, Jun & Qin, Ping, 2023. "Individuals' and households' climate adaptation and mitigation behaviors: A systematic review," China Economic Review, Elsevier, vol. 77(C).
    2. Mingliang Zhao & Fangyi Liu & Yingjie Song & Jiangbo Geng, 2020. "Impact of Air Pollution Regulation and Technological Investment on Sustainable Development of Green Economy in Eastern China: Empirical Analysis with Panel Data Approach," Sustainability, MDPI, vol. 12(8), pages 1-18, April.

  9. Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017. "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, vol. 63(C), pages 332-347.

    Cited by:

    1. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
    2. Di Li & Qianbin Di & Hailin Mu & Zenglin Han & Hongye Wang & Ye Duan, 2022. "Research on the Impact of Output Adjustment Strategy and Carbon Trading Policy on the Response, Stability and Complexity of Steel Market under the Dynamic Game," Sustainability, MDPI, vol. 14(19), pages 1-40, September.
    3. Chen Ya & Zhang Xintian & Liu Haoxiang, 2021. "Investigating the Impact of Capacity Utilization on Carbon Dioxide Emission: Evidence from China’s Iron and Steel Industry," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 681-703, December.
    4. Zhou, Fengxiu & Wang, Xiaoyu, 2022. "The carbon emissions trading scheme and green technology innovation in China: A new structural economics perspective," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 365-381.
    5. Jin, Yana & Liu, Xiaorui & Chen, Xiang & Dai, Hancheng, 2020. "Allowance allocation matters in China's carbon emissions trading system," Energy Economics, Elsevier, vol. 92(C).
    6. Lin, Boqiang & Jia, Zhijie, 2020. "Does the different sectoral coverage matter? An analysis of China's carbon trading market," Energy Policy, Elsevier, vol. 137(C).
    7. Liangpeng Wu & Qingyuan Zhu, 2021. "Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach," 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. 107(3), pages 2487-2515, July.
    8. Zhu, Xuehong & Zuo, Xuguang & Li, Hailing, 2021. "The dual effects of heterogeneous environmental regulation on the technological innovation of Chinese steel enterprises—Based on a high-dimensional fixed effects model," Ecological Economics, Elsevier, vol. 188(C).
    9. Xin Liu & Yuan Li & Dayong Zhang & Lei Zhu, 2018. "On the Effectiveness of the Abatement Policy Mix: A Case Study of China’s Energy-Intensive Sectors," Energies, MDPI, vol. 11(3), pages 1-31, March.
    10. Chiradip Chatterjee & Nafisa Halim & Pallab Mozumder, 2021. "Emission Tax, Health Insurance, and Information: A Mechanism Design for Reducing Energy Consumption and Emission Risk," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 465-480, October.
    11. Xiao Cheng & Yanping Pu & Ran Gu, 2020. "Effect of Shanxi pilot emission trading scheme on industrial soot and dust emissions: A synthetic control method," Energy & Environment, , vol. 31(3), pages 461-478, May.
    12. Lin, Boqiang & Jia, Zhijie, 2019. "Impacts of carbon price level in carbon emission trading market," Applied Energy, Elsevier, vol. 239(C), pages 157-170.
    13. Chiradip Chatterjee & Nafisa Halim & Pallab Mozumder, 2022. "Energy conservation and health risk reduction: an experimental investigation of punishing vs. rewarding incentives," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(4), pages 551-570, October.
    14. Bingxin Zeng & Lei Zhu, 2019. "Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    15. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    16. Chen, Demin & Li, Jiaqi & Wang, Zhao & Lu, Biao & Chen, Guang, 2022. "Hierarchical model to find the path reducing CO2 emissions of integrated iron and steel production," Energy, Elsevier, vol. 258(C).
    17. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    18. Guo, Sui & Li, Huajiao & An, Haizhong & Sun, Qingru & Hao, Xiaoqing & Liu, Yanxin, 2019. "Steel product prices transmission activities in the midstream industrial chain and global markets," Resources Policy, Elsevier, vol. 60(C), pages 56-71.
    19. Xiaoling Wang & Feng He & Linfeng Zhang & Lili Chen, 2018. "Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity," Energies, MDPI, vol. 11(5), pages 1-11, May.
    20. Zhang, Xu & Ou, Xunmin & Yang, Xi & Qi, Tianyu & Nam, Kyung-Min & Zhang, Da & Zhang, Xiliang, 2017. "Socioeconomic burden of air pollution in China: Province-level analysis based on energy economic model," Energy Economics, Elsevier, vol. 68(C), pages 478-489.
    21. Jinpeng Liu & Delin Wei, 2020. "Analysis and Measurement of Carbon Emission Aggregation and Spillover Effects in China: Based on a Sectoral Perspective," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
    22. Zeng, Bingxin & Zhu, Lei & Yao, Xing, 2020. "Policy choice for end-of-pipe abatement technology adoption under technological uncertainty," Economic Modelling, Elsevier, vol. 87(C), pages 121-130.
    23. Pang, Jun & Timilsina, Govinda, 2021. "How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    24. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    25. Zhaohua, Wang & Jingyun, Li & Bin, Lu & Bo, Wang & Bin, Zhang & Kaining, Sun & Mao, Fan, 2023. "Effectiveness and risk of initial carbon quota allocation principle under the uncertainty of the Chinese electricity market," China Economic Review, Elsevier, vol. 77(C).
    26. Sun, YongPing & Xue, JinJun & Shi, XunPeng & Wang, KeYing & Qi, ShaoZhou & Wang, Lei & Wang, Cheng, 2019. "A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients," Applied Energy, Elsevier, vol. 236(C), pages 220-230.
    27. Zhang, Peng & Yin, Guangzhi & Duan, Maosheng, 2020. "Distortion effects of emissions trading system on intra-sector competition and carbon leakage: A case study of China," Energy Policy, Elsevier, vol. 137(C).
    28. Shenhai Huang & Chao Du & Xian Jin & Daini Zhang & Shiyan Wen & Yu’an Wang & Zhenyu Cheng & Zhijie Jia, 2022. "The Boundary of Porter Hypothesis: The Energy and Economic Impact of China’s Carbon Neutrality Target in 2060," Energies, MDPI, vol. 15(23), pages 1-18, December.
    29. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    30. Geng, Wenxin & Fan, Ying, 2022. "An imperfectly competitive permit market under a rate-based scheme," Energy Economics, Elsevier, vol. 105(C).
    31. Yue‐Jun Zhang & Wei Shi & Lin Jiang, 2020. "Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 872-885, March.
    32. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2023. "The carbon reduction potential of hydrogen in the low carbon transition of the iron and steel industry: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    33. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2019. "Sustainable Feasibility of Carbon Trading Policy on Heterogenetic Economic and Industrial Development," Sustainability, MDPI, vol. 11(23), pages 1-18, December.

  10. Zhang, Xiao-Bing & Zhu, Lei, 2017. "Strategic carbon taxation and energy pricing under the threat of climate tipping events," Economic Modelling, Elsevier, vol. 60(C), pages 352-363.

    Cited by:

    1. Jiali Zheng & Han Qiao & Shouyang Wang, 2017. "The Effect of Carbon Tax in Aviation Industry on the Multilateral Simulation Game," Sustainability, MDPI, vol. 9(7), pages 1-24, July.
    2. Jia, Zhijie & Lin, Boqiang & Liu, Xiying, 2023. "Rethinking the equity and efficiency of carbon tax: A novel perspective," Applied Energy, Elsevier, vol. 346(C).

  11. Zhang, Xiao-Bing & Hassen, Sied, 2017. "Household fuel choice in urban China: evidence from panel data," Environment and Development Economics, Cambridge University Press, vol. 22(4), pages 392-413, August.

    Cited by:

    1. Muhammad Irfan & Michael P. Cameron & Gazi Hassan, 2021. "Can income growth alone increase household consumption of cleaner fuels? Evidence from Pakistan," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2021(2), pages 121-146.
    2. McCoy, Daire & Curtice, John, 2018. "Exploring the spatial and temporal determinants of gas central heating adoption," LSE Research Online Documents on Economics 86625, London School of Economics and Political Science, LSE Library.
    3. McCoy, Daire & Curtis, John, 2018. "Exploring the spatial and temporal determinants of gas central heating adoption," Resource and Energy Economics, Elsevier, vol. 52(C), pages 64-86.
    4. Yang, Tingru & Li, Hui & Zhang, Lingyue & Chen, Tianqi, 2022. "The impact of city gas on income inequality in China: A regional heterogeneity analysis," Energy Policy, Elsevier, vol. 169(C).
    5. Johanna CHOUMERT & Pascale COMBES MOTEL & Pierre Leonard LE ROUX, 2017. "Stacking up the ladder: A panel data analysis of Tanzanian household energy choices," Working Papers 201724, CERDI.
    6. Hou, Bingdong & Zhang, Lingyue & Ai, Xianneng & Li, Hui, 2021. "Impact of city gas on mortality in China: National and regional estimates," Energy Policy, Elsevier, vol. 156(C).
    7. Ren, Junqiushi & Xiong, Deyin, 2023. "Do social assistance programs promote the use of clean cooking fuels? Evidence from China's new rural pension scheme," Energy Policy, Elsevier, vol. 182(C).
    8. Tarekegn Mamo Legamo & Milan casny & Workalemahu Tasew, 2021. "Energy Expenditure and Fuel Choices among Households in the Sidama Region, Southern Ethiopia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 315-324.
    9. Hong, Xudong & Wu, Shengnan & Zhang, Xueliang, 2022. "Clean energy powers energy poverty alleviation: Evidence from Chinese micro-survey data," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    10. Gelo, Dambala & Kollamparambil, Umakrishnan & Jeuland, Marc, 2023. "The causal effect of income on household energy transition: Evidence from old age pension eligibility in South Africa," Energy Economics, Elsevier, vol. 119(C).
    11. Alison Pye & Sara Ronzi & Bertrand Hugo Mbatchou Ngahane & Elisa Puzzolo & Atongno Humphrey Ashu & Daniel Pope, 2020. "Drivers of the Adoption and Exclusive Use of Clean Fuel for Cooking in Sub-Saharan Africa: Learnings and Policy Considerations from Cameroon," IJERPH, MDPI, vol. 17(16), pages 1-24, August.
    12. Guta, Dawit Diriba, 2020. "Determinants of household use of energy-efficient and renewable energy technologies in rural Ethiopia," Technology in Society, Elsevier, vol. 61(C).

  12. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.

    Cited by:

    1. Lin, Boqiang & Xu, Bin, 2018. "How to promote the growth of new energy industry at different stages?," Energy Policy, Elsevier, vol. 118(C), pages 390-403.
    2. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    3. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    4. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    5. Aiman Fadil & Paul Davis & John Geraghty, 2023. "A Mixed-Method Approach to Determine the Successful Factors Affecting the Criticality Level of Intermediate and Final Products on National Basis: A Case Study from Saudi Arabia," Sustainability, MDPI, vol. 15(7), pages 1-29, March.
    6. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017. "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, vol. 205(C), pages 336-344.
    7. Leszek Lankof & Stanisław Nagy & Krzysztof Polański & Kazimierz Urbańczyk, 2022. "Potential for Underground Storage of Liquid Fuels in Bedded Rock Salt Formations in Poland," Energies, MDPI, vol. 15(19), pages 1-21, September.
    8. Aleksei V. Bogoviz & Yulia V. Ragulina & Svetlana V. Lobova & Alexander N. Alekseev, 2019. "A quantitative Analysis of Energy Security Performance by Brazil, Russia, India, China, and South Africa in 1990-2015," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 244-250.
    9. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    10. Nihit Goyal, 2021. "Limited Demand or Unreliable Supply? A Bibliometric Review and Computational Text Analysis of Research on Energy Policy in India," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    11. Fan, Weina & Anser, Muhammad Khalid & Nasir, Muhammad Hamid & Nazar, Raima, 2023. "Uncertainty in firm innovation scheme and impact of green fiscal policy; Economic recovery of Chinese firms in the post-Covid-19 era," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1424-1439.

  13. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.

    Cited by:

    1. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2021. "Two-Way Commuting: Asymmetries from Time Use Surveys," IZA Discussion Papers 14235, Institute of Labor Economics (IZA).
    2. André de Palma & Shaghayegh Vosough & Robin Lindsey, 2020. "Pricing vehicle emissions and congestion using a dynamic traffic network simulator," THEMA Working Papers 2020-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega, Raquel, 2022. "Revisiting excess commuting and self-employment: The case of Latin America," GLO Discussion Paper Series 1179, Global Labor Organization (GLO).
    4. Tirachini, Alejandro & Proost, Stef, 2021. "Transport taxes and subsidies in developing countries: The effect of income inequality aversion," Economics of Transportation, Elsevier, vol. 25(C).
    5. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2021. "Who uses green mobility? Exploring profiles in developed countries," Nülan. Deposited Documents 3570, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    6. Pablo González-Aliste & Iván Derpich & Mario López, 2023. "Reducing Urban Traffic Congestion via Charging Price," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    7. Shaghayegh Vosough & André de Palma & Robin Lindsey, 2022. "Pricing vehicle emissions and congestion externalities using a dynamic traffic network simulator," THEMA Working Papers 2022-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "School commuting behaviors: A time-use exploration," GLO Discussion Paper Series 1194, Global Labor Organization (GLO).
    9. Lu, Xiao-Shan & Huang, Hai-Jun & Guo, Ren-Yong & Xiong, Fen, 2021. "Linear location-dependent parking fees and integrated daily commuting patterns with late arrival and early departure in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 293-322.
    10. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    11. Long, Jiancheng & Szeto, W.Y., 2019. "Congestion and environmental toll schemes for the morning commute with heterogeneous users and parallel routes," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 305-333.

  14. Jessica Coria & Xiao-Bing Zhang, 2015. "State-Dependent Enforcement to Foster the Adoption of New Technologies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 359-381, October.

    Cited by:

    1. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2021. "Two-Way Commuting: Asymmetries from Time Use Surveys," IZA Discussion Papers 14235, Institute of Labor Economics (IZA).
    2. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Intermediate activities while commuting," GLO Discussion Paper Series 1080, Global Labor Organization (GLO).
    3. Thomas Sterner, 2015. "Beyond IPCC, Research for Paris 2015 and Beyond," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 207-215, October.
    4. Lidia Vidal-Meliá & Carmen Arguedas & Eva Camacho-Cuena & José Luis Zofío, 2022. "An Experimental Analysis of the Effects of Imperfect Compliance on Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 425-451, March.
    5. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "School commuting behaviors: A time-use exploration," GLO Discussion Paper Series 1194, Global Labor Organization (GLO).
    6. João Ricardo Faria & Peter F. Wanke & João J. Ferreira & Franklin G. Mixon, 2018. "Research and innovation in higher education: empirical evidence from research and patenting in Brazil," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 487-504, July.

  15. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.

    Cited by:

    1. Csomós György, 2017. "Cities as command and control centres of the world economy: An empirical analysis, 2006–2015," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 38(38), pages 7-26, December.
    2. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    3. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    4. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).

  16. Fan, Ying & Zhang, Xiao-Bing, 2010. "Modelling the strategic petroleum reserves of China and India by a stochastic dynamic game," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 505-519, July.

    Cited by:

    1. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
    2. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    3. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    4. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    5. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    6. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014. "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, vol. 73(C), pages 312-322.
    7. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    8. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    9. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    10. Reddy, K.S. & Xie, En, 2017. "Cross-border mergers and acquisitions by oil and gas multinational enterprises: Geography-based view of energy strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 961-980.

  17. Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.

    Cited by:

    1. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
    2. Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.
    3. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    4. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    5. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    6. Zhang, Zhimin & Elshkaki, Ayman, 2022. "An analysis of the supply-side factors of geological exploration in China based on provincial panel data between 1999 and 2017," Resources Policy, Elsevier, vol. 76(C).
    7. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 1-26.
    8. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Paper Series 166, WU Vienna University of Economics and Business.
    9. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    10. Huanan Li & Xin Chen, 2016. "Dynamic game analysis on China’s public and private oil stockpiles," 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. 84(1), pages 715-723, October.
    11. Bai, Y. & Zhou, D.Q. & Zhou, P. & Zhang, L.B., 2012. "Optimal path for China's strategic petroleum reserve: A dynamic programming analysis," Energy Economics, Elsevier, vol. 34(4), pages 1058-1063.
    12. Li, Tianxiao & Liu, Pei & Li, Zheng, 2021. "Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis," Energy Policy, Elsevier, vol. 152(C).
    13. Cheng, Ching-Tsung & Lo, Shang-Lien & Lin, Tyrone T., 2011. "Applying real options analysis to assess cleaner energy development strategies," Energy Policy, Elsevier, vol. 39(10), pages 5929-5938, October.
    14. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.
    15. Ma, Linwei & Fu, Feng & Li, Zheng & Liu, Pei, 2012. "Oil development in China: Current status and future trends," Energy Policy, Elsevier, vol. 45(C), pages 43-53.
    16. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    17. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
    18. Leung, Guy C.K. & Cherp, Aleh & Jewell, Jessica & Wei, Yi-Ming, 2014. "Securitization of energy supply chains in China," Applied Energy, Elsevier, vol. 123(C), pages 316-326.
    19. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Spillovers between oil and stock markets at times of geopolitical unrest and economic turbulence," MPRA Paper 59760, University Library of Munich, Germany.
    20. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    21. Chen, Xin & Mu, Hailin & Li, Huanan & Gui, Shusen, 2014. "Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach," Energy Policy, Elsevier, vol. 69(C), pages 28-42.
    22. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    23. Wu, Gang & Wei, Yi-Ming & Nielsen, Chris & Lu, Xi & McElroy, Michael B., 2012. "A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies," Energy Economics, Elsevier, vol. 34(4), pages 1234-1243.
    24. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    25. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.
    26. Gao, Dan & Li, Zheng & Liu, Pei & Zhao, Jiazhu & Zhang, Yuning & Li, Canbing, 2018. "A coordinated energy security model taking strategic petroleum reserve and alternative fuels into consideration," Energy, Elsevier, vol. 145(C), pages 171-181.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 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-ENE: Energy Economics (3) 2014-04-29 2014-06-07 2017-01-01
  2. NEP-ENV: Environmental Economics (3) 2014-04-29 2015-02-05 2017-01-01
  3. NEP-RES: Resource Economics (3) 2014-06-07 2015-02-05 2017-01-01
  4. NEP-REG: Regulation (2) 2014-04-29 2017-01-01
  5. NEP-ACC: Accounting and Auditing (1) 2015-02-05
  6. NEP-DCM: Discrete Choice Models (1) 2014-06-07
  7. NEP-INO: Innovation (1) 2014-04-29
  8. NEP-LAW: Law and Economics (1) 2015-02-05
  9. NEP-PBE: Public Economics (1) 2014-04-29
  10. NEP-PUB: Public Finance (1) 2014-04-29
  11. NEP-TRA: Transition Economics (1) 2014-06-07
  12. NEP-TRE: Transport Economics (1) 2017-01-01
  13. NEP-URE: Urban and Real Estate Economics (1) 2017-01-01

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