在国际SSCI/SCI和国内CSSCI期刊发表论文近50篇，主要论文如下： l 第一作者发表论著： [1] Ding Tao, Song Manlin. Natural Resource Regulation in China. https://doi.org/10.1007/978-981-99-5593-0. ISBN: 978-981-99-5592-3. Springer, 英文专著（276页）. [2] 丁涛，宋马林，中国推进“双碳”目标：效率评价、影响机制与实现路径. 《经济科学出版社》，2022年6月，中文专著. [3] 丁涛, 梁樑. 基于方案占优和排序稳健性的多属性决策方法[J]. 中国管理科学, 2016(8):132-138.
[4] 丁涛, 吴华清*, 梁樑. 360度评估体系中权重调整方法研究[J]. 中国管理科学, 2016(7):149-154. [5] 丁涛, 杨洁, 宋平凡* (2022). 中国八大经济区碳排放驱动因素研究—基于时空技术异质性视角[J]. 软科学.第7期. [6] 丁涛，黄宇菲，冯奎，吴华清*(2023). 中国区域低碳发展水平测度、区域差距与空间收敛性研究—来自八大综合经济区的证据[J]. 经济问题探索. 第2期. [7] Ding Tao, Zhang Yueqi, Zhou Peng*, Zhao Xin. Local Government Competition, Decision-Making Behavior and Green Land Use Total Factor Productivity: Evidence from Cities in China. Managerial and Decision Economics. [8] Ding Tao, Li Hao, Tan Ruipeng*, Zhao Xin*. (2023). How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries. Resources Policy, 85, 103983(SSCI一区). [9] Ding Tao, Li Jiangyuan, Shi Xing, Li Xuhui, Chen Ya*. (2023). Is Artificial Intelligence Associated with Carbon Emissions Reduction? Case of China. Resources Policy, 85, 103892. (SSCI一区). [10] Ding Tao, Zhang Yun, Zhang Danlu*, Li Feng*. (2023). Performance evaluation of Chinese research universities: A parallel interactive network DEA approach with shared and fixed sum inputs. Socio-Economic Planning Sciences, 87, 101582. (SSCI一区). [11] Ding Tao, Yang Jie, Wu Huaqing*, Liang Liang. (2022). Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach. Socio-Economic Planning Sciences, 79, 101090. (SSCI一区). [12] Ding Tao, Li Jiangyuan, Shi Xing*, Wu Huaqing. (2021). Driving forces of water intensity in China’s industrial sector: A global meta-frontier production-theoretical decomposition analysis. Water Economics and Policy, 7(3), 1-25. [13] Ding Tao, Huang Yufei, He Weijun, Zhuang Delin*. (2021). Spatial-temporal heterogeneity and driving factors of carbon emissions in China. Environmental Science and Pollution Research, 28(27), 35830-35843. [14] Ding Tao, Zhou Zhixiang*, Dai Qianzhi, Liang Liang. (2020). Analysis of China’s regional economic environmental performance: A non-radial multi-objective DEA approach. Computational Economics, 55(4), 1209-1231. [15] Ding Tao, Yang Jie, Wu Huaqing, Wen Yao*, Tan Changchun, Liang Liang. (2021). Research performance evaluation of Chinese university: A non-homogeneous network DEA approach. Journal of Management Science and Engineering (管理科学报英文版), https://doi.org/10.1016/j.jmse.2020.10.003. [16] Ding Tao, Wu Huaqing, Jia Junjun, Wei Yuqi*, Liang Liang. (2020). Regional assessment of water-energy nexus in China’s industrial sector: An interactive meta-frontier DEA approach. Journal of Cleaner Production, 244, 118797. [17] Ding Tao, Wu Huaqing, Dai Qianzhi*, Zhou Zhixiang, Tan Changchun. (2020). Environmental efficiency analysis of urban agglomerations in China: A non-parametric meta-frontier approach. Emerging Markets Finance and Trade, 56(13), 2977-2992. [18] Ding Tao, Liang Liang, Zhou Kaile, Yang Min, Wei Yuqi*. (2020). Water-energy nexus: The origin, development and prospect. Ecological Modelling, 419, 108943. [19] Ding Tao, Li Feng, Liang Liang. Fixed Cost and Resource Allocation Considering Technology Heterogeneity in Two-Stage Network Production Systems. In: Charles V., Aparicio J., Zhu J. (eds) Data Science and Productivity Analytics. International Series in Operations Research & Management Science, 2020, vol 290. Springer, Cham.
[20] Ding Tao, Chen Ya, Wu Huaqing*, Wei Yuqi. Centralized fixed cost and resource allocation considering technology heterogeneity. Annals of Operations Research,2018,268(1-2):497-511.(ABS3星). [21] Ding Tao, Zhu Qingyuan*, Zhang Baofeng Liang Liang. Centralized fixed cost allocation for generalized two-stage network DEA. Information Systems and Operational Research,2019,57(2):123-140. [22] Ding Tao, Liang Liang, Yang Min*, Wu Huaqing. Multiple Attribute Decision Making Based on Cross-Evaluation with Uncertain Decision Parameters. Mathematical Problems in Engineering, 2016, 2016(2):1-10. l 通讯作者发表论著： [23] Song Malin, Ding Tao*, Chen Jiandong. Natural Resources Utilization in China Evaluation, Coordination, and Effects. https://doi.org/10.1007/978-981-99-4981-6. ISBN: 978-981-99-4980-9. Springer, 英文专著（315页）. [24] Jin Feifei, Cai Yuhang, Zhou Ligang, Ding Tao*. Regret-rejoice two-stage multiplicative DEA models-driven cross-efficiency evaluation with probabilistic linguistic information. OMEGA, 2023,117,102839.（ABS3星，SSCI一区）. [25]李大海，丁涛*，梁樑，杨敏，胡婉婷. 基于多代理人竞争的连续时间风险投资激励机制研究 . 系统科学与数学，2023, 43(9), 2232-2251. [26] Peng Fei, Zhou Shibiao, Ding Tao*, Wu Huaqing. (2023). Impact of Fiscal Expenditure Stress on Green Transformation Risk: Evidence from China Education Authority Reform. Economic Change and Restructuring, Accepted. [27] Li Jiangyuan, Ding Tao*, Liang Liang. (2023). Does water resource fee to tax policy help reduce water pollution in China? Water Economics and Policy. [28] Li Qianqian, Deng Guangwei, Wu Huaqing, Ding Tao*, Chen Ya*(2023). Exploring Water Use in Mildly Water-scarce Regions: A Structural Decomposition Analysis for Anhui Province in China. Water Economics and Policy. https://doi.org/10.1142/S2382624X23500054. [29] Liang Shizhi, Yang Jie*, Ding Tao*. Performance evaluation of AI driven low carbon manufacturing industry in China: An interactive network DEA approach. Computers & Industrial Engineering, 2022, 170(1):108248. [30] Yang Min, An Qingxian, Ding Tao*, Liang Liang. Carbon emission allocation in DEA approach based on gradually efficiency improvement and emission reduction planning principle. Annals of Operations Research, 2019, 278, 123-139.(ABS3星). [31] Liang Changyong, Wang Binyou, Ding Tao*, Ma Yinchao. (2020). DEA based production planning considering technology heterogeneity with undesirable outputs. RAIRO- Operations Research, 54(2), 325-339. [32] Zhou Zhixiang, Wu Huaqing, Ding Tao*, Xia Qiong. (2019). Non-radial directional distance function for measuring the environmental efficiency of the Chinese iron and steel industry. Tropical Conservation Science, 12, 1-12. [33] Liang Shizhi, Huang Yufei, Ding Tao*. (2021). Efficiency evaluation and projection improvement of the industrial water-energy nexus in China based on network Data envelopment analysis. Frontiers in Energy Research, 9, 707922. [34] Tan Changchun, Peng Qinhong, Ding Tao*, Zhou Zhixiang*. (2021). Regional assessment of land and water carrying capacity and utilization efficiency in China. Sustainability, 13(16), 9183. [35] Tao Aiping, Liang Qun, Kuai Peng*, Ding Tao*. (2021). The influence of urban sprawl on air pollution and the mediating effect of vehicle ownership. Processes, 9(8), 1261.
l 非第一作者非通讯作者论著： [36] Jiao Jianling, Yang Jie, Ding Tao. (2023). Factor Allocation Efficiency of Environmental Protection Industry in China—Based on the perspective of micro enterprises Journal of Environmental Management. (ABS3星). [37] Wu Huaqing, Wang Ling, Ding Tao, Peng Fei. (2023). Does urban low-carbon governance affect firms’ business decisions for employing capital and labor? Journal of Environmental Planning and Management. [38] 胡婉婷, 丁晶晶, 丁涛, 梁樑. (2021). 存在收益共享与合作努力的双渠道动态定价策略研究. 管理工程学报, 35(05), 247-257. [39] 李江元, 丁涛. (2020). 我国碳排放增长的驱动因素分解——基于LMDI模型. 煤炭经济研究(6), 47-56. [40] Chen Ya, Pan Yongbin, Wang Mengyuan, Ding Tao, Zhou Zhixiang, Wang Ke. (2023) How industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing. Structural Change and Economic Dynamics, 66:67-80. [41] Wu Huaqing, Wang Ling, Ding Tao, Peng Fei. Does urban low-carbon governance affect firms’ business decisions for employing capital and labor? Journal of Environmental Planning and Management. 2023. [42] Guo Chuanyin, Wei Fajie, Ding Tao, Liang Liang, Zhang Linyan. Multistage Network DEA: Decomposition and Aggregation Weights of Component Performance. Computers & Industrial Engineering, 2017,113:64-74. [43] An Qingxian, Wen Yao, Ding Tao, Li Yongli. Resource sharing and payoff allocation in a three-stage system: integrating network DEA with the Shapley value method. OMEGA, 2018,1-10. （ABS3星，SSCI一区）. [44] Han Haibin, Ding Tao, Nie Lei, Hao Zhenzhen. Agricultural eco-efficiency loss under technology heterogeneity given regional differences in China. Journal of Cleaner Production, 2019, 119511. [45] He Weijun, Zhang Bin, Ding Tao. Sources of provincial carbon intensity reduction potential in China: A non-parametric fractional programming approach. Science of the Total Environment, 2020, 139037. [46] Zhou Zhixiang, Chen Ya, Song Pingfan, Ding Tao. China's urban air quality evaluation with streaming data: A DEA window analysis. Science of the Total Environment, 2020, 727: 138213. [47] Chen Ya, Wang Yan, Ding Tao, Wu Huaqing. Water footprint and virtual water trade analysis in water-rich basins: Case of the Chaohu Lake Basin in China. Science of The Total Environment, 2022, 843(2):156906. [48] Li Jiao, Ding Tao, He Weijun. Socio-economic driving forces of PM2.5 emission in China: a global meta-frontier-production-theoretical decomposition analysis. Environmental Science and Pollution Research, 2022, 29,77565-777579. [49] Han Jianyu, He Min, Xie Honglin, Ding Tao. The Impact of Scientific and Technological Innovation on High-Quality Economic Development in the Yangtze River Delta Region. Sustainability, 2022, 14(21), 14346. [50] Zhao Chenghao, Chen Guangrui, Wang Pengfei, Ding Tao, Wang Xinru.(2023). Does Sustainable Development in Resource-Based Cities Effectively Reduce Carbon Emissions? An Empirical Study Based on Annual Panel Data of 59 Prefecture-Level Cities in China. Sustainability, 15(10), 8078.
| 
