吴建新

发布者:2023-10-16发布者:281

[1]  Fan D, Chen Q, Wu Jianxin, et al. Does ecological poverty trap exist in Chinese cities? Evidence from the distribution dynamics of vegetation coverage[J]. Environmental and Ecological Statistics, 2025, 32(3): 1011-1031. (已注明共同一作) SSCI

[2]  Ma ChunboWu JianxinXiao JunjiZhan Xiaolin. Ma C, Wu J, Xiao J, et al. Environmental and Regional Economic Development Policy: Evidence from the Rise of Central China Program[J]. Journal of the Association of Environmental and Resource Economists, 2024, 11(5): 1229-1273. (字母序,已注明共同一作) SSCI

[3]  Hu, W., Huang, W., Wu, Jianxin., & Zhang, C. Place-based policies and local human capital accumulation: Evidence from China's special economic zone program. China Economic Review, 102163. (2024). (字母序,已注明共同一作兼通讯作者) SSCI

[4]  Fan, D., Peng, B., Wu, Jianxin., & Zhang, Z. (2024). Fan D, Peng B, Wu J, et al. The convergence of total-factor energy efficiency across Chinese cities: A distribution dynamics approach[J]. Structural Change and Economic Dynamics, 2024, 69: 406-416. (字母序,已注明共同一作) SSCI

[5]  Hao N, Peng B, Tang K, Wu Jianxin. Does energy poverty trap exist in Chinese cities? Evidence from evaluating the co-evolution of energy consumption and income[J]. Cities, 2024, 150: 105082.

[6]  Wu Jianxin, Feng Z, Ma C. Promotion Incentives and Environmental Regulation: Evidence from Chinas Environmental One-Vote Veto Evaluation Regime[J]. Environmental and Resource Economics, 2024, 87(1): 257-286.

[7]  Wu J, Zhan X, Xu H, Ma C. The economic impacts of COVID-19 and city lockdown: Early evidence from China[J]. Structural change and economic dynamics, 2023, 65: 151-165.

[8]  Fan M, Tang Q, Wu Jianxin, Xiao Junji. Unintended environmental consequences of place-based economic policies[J]. American Journal of Agricultural Economics, 2023.01.(字母序,已注明共同一作) SSCI

[9]  Wu Jianxin, He L Y. and Zhang Z. On the Co-evolution of PM2.5 Concentrations and Income in ChinaA Joint Distribution Dynamics Approach[J]. Energy Economics20221. SSCI

[10] Ma N, Wu Y, Wu Jianxin. Urban growth and aggregate growth in China[J]. Cities, 2021, 114: 103209. SSCI

[11] Wu Jianxin, Feng Z, Anwar S. Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach[J]. Ecological Indicators, 2021, 126: 107552. SSCI)(2021年七月)

[12] Wu Jianxin, Feng Z, Tang K. The dynamics and drivers of environmental performance in Chinese cities: a decomposition analysis[J]. Environmental Science and Pollution Research, 2021: 1-16. SSCI)(2021215日)

[13] Wu Jianxin, Xu H, Tang K. Industrial agglomeration, CO2 emissions and regional development programs: A decomposition analysis based on 286 Chinese cities[J]. Energy, 2021, 225(6): 120239.(2021615日出版) SSCI

[14] Wu, Jianxin., Wu, Y.,  Cheong, T. S. (2021). New evidence on the convergence and regional clusters in China: a weighted continuous distribution dynamics approach. Applied Economics,53(8), 976-995.20212月出版)(SSCI

[15] Wang, L., Cheong, T. S., Wu, Y., Wu, Jianxin. (2019). Convergence and Intercountry Inequality within Asia: A Combined Approach Using Decomposition Techniques and Transitional Dynamics Analysis. Asian Economic Journal, 33(4), 341-362.

[16] Lee W C, Cheong T S, Wu Y, Wu Jianxin. The Impacts of Financial Development, Urbanization, and Globalization on Income Inequality: A Regression-based Decomposition Approach[J]. Asian Economic Papers, 2019, 18(2): 126-141. SSCI

[17] Wu Jianxin, Ma C, Tang K. The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities[J]. Energy, 2019, 178: 685-694.SSCI

[18] Wu, Jianxin, Ma Chunbo. The Convergence of Chinas Marginal Abatement Cost of CO2: An Emission-Weighted Continuous State Space Approach. Environmental and Resource Economics. 2019724:1099-1119.SSCI

[19] Ma, Ning, Yanrui Wu, and Jianxin Wu. Environmental efficiency and its distribution dynamics in Chinese cities. Journal of Chinese Economic and Business Studies 16.4 (2018): 417-445. (SSCI)

[20] Wu JianxinWu Y, Wang B. Local Government Debt, Factor Misallocation and Economic Performance. China & World Economy. 2018. 26(4): 82-105. (SSCI)

[21] Wu, Jianxin, Wu, Y., Cheong, T. S., Yu, Y. Distribution dynamics of energy intensity in Chinese cities. Applied Energy211 (2018): 875-889. (SSCI)

[22] Wu, Jianxin, and Ling-Yun He. Urbanrural gap and poverty traps in China: A prefecture level analysis. Applied Economics (2018): 50(30): 3300-3314.. (SSCI)

[23] Wu JianxinWu Y, Wang B. Environmental Efficiency and the Optimal Size of Chinese Cities. China & World Economy. 2017, 25(3): 60-86. (SSCI)

[24] Wu, Jianxin., Z. Kang, and N. Zhang. Carbon emission reduction potentials under different polices in Chinese Cities: A Scenario-Based Analysis. Journal of Cleaner Production. 2017, 161(10):1226-1236. (SSCI)

[25] Wu Jianxin., He L Y. The distribution dynamics of Carbon Dioxide Emission intensity across Chinese provinces: A weighted Approach [J]. Sustainability, 2017. 91. (SSCI)

[26] Wu Jianxin., and Ling-Yun He. How do Chinese cities grow? A distribution dynamics approach. Physica A: Statistical Mechanics and its Applications 470 (2017): 105-118.

[27] Wu Jianxin, Wu Y, Guo X, et al. Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach [J]. Energy Policy, 2016, 91: 207-219.(SSCI/SCI)

[28] Wu Jianxin, Wu Y, Wang B. The greenness of Chinese cities: carbon dioxide emission and its determinants [J]. Journal of the Asia Pacific Economy, 2016, 21(3): 378-396. (SSCI)

[29] Wu Jianxin, Wu Y, Guo X.. Urban Density and Carbon Emissions in China [J]. Chapter in China's New Sources of Growth. Edited by Ross Garnaut, Ligang Song, Fang Cai, Lauren Johnston. , 2016479-499.

[30] Cheong T S, Wu Y, Wu Jianxin. Evolution of carbon dioxide emissions in Chinese cities: trends and transitional dynamics[J]. Journal of the Asia Pacific Economy, 2016, 21(3): 357-377. (SSCI)

[31] 詹小灵,吴建新,孙伟增. 中部崛起战略的经济效应及 其机制——基于空间断点回归的分析[J].数量经济技术经济研究,2025,42(4):5-25

[32] 吴建新,贺佳瑶,钱晶晶.中国省际能源强度的分布动态演进及其成因[J].《中国人口·资源与环境》,2018,28(02).

[33] 吴建新, 郭智勇. 基于连续性动态分布方法的中国碳排放收敛分析[J]. 《统计研究》, 2016, 33(1).

[34] 吴建新. 中国城市的绿色转型:来自环境效率与环境生产率的解释。《产经评论》,2016.12.

[35] 吴建新, 刘德学. 中国经济增长中的规模扩张与结构调整:一种生产前沿方法[J]. 暨南学报:哲学社会科学版, 2014(1).(人大复印资料全文转载)

[36] 陈红蕾, 覃伟芳, 吴建新. 考虑碳排放的工业全要素生产率变动及影响因素研究——广东案例[J]. 产业经济研究, 2013 (5).

[37] 吴建新,钟玲. 要素配置非效率与生产率增长[J]. 当代财经,20134)。

[38] 吴建新. 地区间要素配置效率与中国生产率增长.山西财经大学学报,第8,2635页,2012.

[39] 吴建新, 刘德学. 包容性增长研究述评. 产经评论,4期,135144页, 2012.

[40] 吴建新:《外商直接投资的技术溢出效应和经济增长效应》, 《山西财经大学学报》20113)。

[41] 吴建新, 刘德学. 人力资本, 国内研发, 技术外溢与技术进步——基于中国省际面板数据和一阶差分广义矩方法的研究[J]. 《世界经济文汇》, 2010 (4).

[42] 吴建新. 技术进步、效率变化、资本积累与我国地区服务业发展.南方经济,8期:5160页,2010.

[43] 吴建新. 中国工业劳动生产率分解及其对地区收入差距的影响研究.《当代财经》,第11,93104页,2010.

[44] 吴建新. 技术、效率、资本积累与中国地区发展差异,《数量经济技术经济研究》 2009.11.

[45] 吴建新,刘德学:《对中国地区收入差距的解释:基于要素积累、效率与技术进步》. 《山西财经大学学报》,20099)。

[46] 吴建新. 资本积累, 全要素生产率与中国地区发展差异——基于动态分布方法的研究[J]. 《统计研究》, 2008, 25(11).

[47] 吴建新. 开放条件下的研发、创新与中国经济增长. 《世界经济研究》,第3期,912页,2008.

[48] 吴建新,刘德学:《全球价值链中治理与升级的关系》.《山西财经大学学报》,20086)。

[49] 吴建新,刘德学. 全球价值链的治理研究综述. 《国际经贸探索》,第8期,914页,2007