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第一作者的论著
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  • 仅列示第一作者的论著

    [1]

    [2] 张陈俊, 朱炯烨, 陈洁, 刘璇, 石常峰. 基于LMDI的长江经济带用水量时空差异的驱动效应研究[J]. 水利经济, 2024, 录用.(北大核心

    [3] Zhang C J, Chen J, Chu Z A, Zhang P C, Xu J R. History and future of water footprint in the Yangtze River Delta of China[J]. Environmental Science and Pollution Research, 2024, online. (SCI)

    [4] Zhang C J, Wang Y Z, Xu J R, Shi C F. What factors drive the temporal-spatial differences of electricity conusmption in the Yangtze River region of China[J]. Environmental Impact Assessment Review, 2023, 103: 107247.(SSCI)

    [5] 张陈俊, 石常峰. “一带一路”倡议下中国与环黑海地区农业合作发展研究[J]. 江苏科技大学学报(社会科学版), 2023, 23(2):87-95.

    [6]Zhang C J, Huang, H L, Shi C F, Xu J R, Chiu Y H. Spatial pattern and driving factors for interprovincial water use in China: based on SNA and LMDI[J]. Energy & Environment. Online. (SSCI)

    [7] 张陈俊,周雨雯. 黄河流域用水量与经济增长脱钩及驱动机制研究[J]. 人民黄河, 2023, 45(7): 79-85+115.(北大核心)

    [8]Zhang C J, Ma, T L, Shi C F, Chiu Y H. Carbon emission from the electric power industry in Jiangsu province, China: historical evolution and future prediction[J]. Energy & Environment, 2023,34(6): 1910-1936(SSCI)

    [9] Zhang C J, Hua R, Shi Z, Chiu Y H, Qin S J, Sun X R. Study on water resources consumption and environmental pollution of China's provinces under different economic development levels [J]. Natural Resources Forum, 2021, 45(3): 305-325. (SSCI/SCI)

    [10] Zhang C J, Zhao Y, Shi C F, Chiu Y H. Can China achieve its water use peaking in 2030? A scenario analysis based on LMDI and Monte Carlo method [J]. Journal of Cleaner Production, 2021, 278: 123214. (SCI)

    [11] Zhang C J, Xu J, Chiu Y H. Driving factors of water use change based on production and domestic dimensions in Jiangsu, China [J]. Environmental Science and Pollution Research, 2020(27): 33351-33361. (SCI)

    [12]Zhang C J, Wu Y S, Yu Y. Spatial decomposition analysis of water intensity in China [J]. Socio-Economic Planning Sciences, 2020, 69, 1-13. (SSCI/SCI)

    [13]张陈俊,俞夏蕾,涂俊玮,庞庆华. 供应链企业技术创新投入的演化博弈[J]. 统计与决策, 2020, 21: 163-167.(CSSCI)

    [14]张陈俊, 吴雨思, 庞庆华, 石常峰. 长江经济带用水量时空差异的驱动效应研究——基于生产和生活视角 [J]. 长江流域资源与环境, 2019, 28(12): 2806-2816. (CSSCI)

    [15] 张陈俊, 许静茹, 张丽娜, 庞庆华. 长江经济带水资源消耗时空差异驱动效应研究 [J]. 资源科学, 2018, 40(11): 2247-2259. (CSSCI)

    [16] 张陈俊, 赵存学, 林琳, 余许友. 长江三角洲地区用水量时空差异的驱动效应研究 [J]. 资源科学, 2018, 40(01): 89-103. (CSSCI)

    [17] 张陈俊, 董娟娟, 林琳, 余许友. 区域水资源消耗差异的影响因素分析——LMDI模型的新应用 [J]. 水利经济, 2017, 35(06): 71-75. (CSCD)

    [18] 张陈俊, 章恒全, 陈其勇, 张万力. 中国用水量变化的影响因素分析——基于LMDI方法 [J]. 资源科学, 2016, 38(07): 1308-1322. (CSSCI)

    [19] 张陈俊, 章恒全, 张丽娜. 基于多层次LMDI方法的中国水资源消耗变化分析 [J]. 统计与决策, 2016(03): 98-103. (CSSCI)

    [20] 张陈俊, 章恒全, 陈其勇, 龚雅云. 用水量与经济增长关系的实证研究[J]. 资源科学, 2015, 37(11): 2228-2239. (CSSCI)

    [21] 张陈俊, 章恒全. 中国水资源消耗的分解分析 [J]. 统计与决策, 2015(03): 58-61. (CSSCI)

    [22] 张陈俊, 章恒全, 龚雅云. 中国结构升级、技术进步与水资源消耗——基于改进的LMDI方法 [J]. 资源科学, 2014, 36(10): 1993-2002. (CSSCI)

    [23] 张陈俊, 章恒全. 新环境库兹涅次曲线: 工业用水与经济增长的关系 [J]. 中国人口·资源与环境, 2014, 24(05): 116-123. (CSSCI)

    [24]Zhang C J, Zhang H Q. Can regional economy influence China's water use intensity?: based on refined LMDI method [J]. Chinese Journal of Population Resources and Environment. 2014, 12(03): 247-254.

    [25] 张陈俊. 区域用水量与经济增长关系的实证研究 [M]. 南京:河海大学出版社, 2020.