张宁

发布者:2019-08-28发布者:113

  

[1]Zhang N, Liu Z, Zheng X, Xue J. 2017. Carbon footprint of China’s belt and road. Science, 357(6356), 1106-1107. (SCI, IF=37.205)

[2]Guan D, Meng J. David R. Zhang N* et al 2018. The drivers of China’s carbon emission peak. Nature Geoscience, In press, 2018. (*通讯作者)

[3]Wiedenhofer D., Guan, D., Liu, Z., Meng, J., Zhang, N., Wei, Y. 2017. Unequal household carbon footprints in China. Nature climate change 7(1), 75-80. (SCI&SSCI, IF=19.184)

[4]张宁、张维洁. 2019. 中国用能权交易是否可以获得经济与环境双赢?《经济研究》,1165-181.

[5]Pan D, Zhang N*. 2018. The Role of Agricultural Training on Fertilizer Use Knowledge: A Randomized Controlled Experiment. Ecological Economics, 148, 77-91.

[6]Wu T, Zhang N*, Gui L, Wu W. 2018. Sustainable endogenous growth model of multiple regions: Reconciling OR and economic perspectives. European Journal of Operational Research, 269,218-226.

[7]Zhang N, Zhang G, Li Y. Does major agriculture production zone have higher carbon efficiency and abatement cost under climate change mitigation? Ecological Indicators, 2018, https://doi.org/10.1016/j.ecolind.2017.12.015

[8]Zhang N, Choi Y, Wang W. 2018. Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method, Technological Forecasting and Social Change.

[9]Wang W, Xie H, Zhang N*, Xiang D 2018. Water use and water shadow price in China’s urban industry. Resources, Conservation and Recycling, 128, 489-498.

[10]Du M, Wang B, Zhang N*. National research funding and energy efficiency: Evidence from the National Science Foundation of China, Energy Policy, 120, 335-346.

[11]Xiang D, Chen J, Tripe, Zhang N*. Family firms, sustainable innovation and financing cost: Evidence from Chinese hi-tech small and medium-sized enterprises,Technological Forecasting and Social Change.

[12]Zhu N, Zhang N*,BALEŽENTIS. 2018. What contributes to total factor productivity growth in the Chinese banking sector? Technological and Economic Development of Economy 24 (2), 792-811

[13]Wu T, Zhang N*, Gui L, Wu W. 2018. Sustainable endogenous growth model of multiple regions: Reconciling OR and economic perspectives. European Journal of Operational Research,269,218-226.

[14]Zhang N., Chen Z. 2017. Sustainability Characteristics of China’s Poyang Lake Eco-Economics Zone in the big data environment Journal of Cleaner Production, 142, 642-653. (SCI&SSCI) IF=5.905

[15]Zhang, N., Yu, K., & Chen, Z. 2017. How does urbanization affect carbon dioxide emissions? a cross-country panel data analysis. Energy Policy, 107. 678-687. (SSCI, IF=4.140)

[16]Pan, D., Kong, F., Zhang, N*., & Ying, R. 2017. Knowledge training and the change of fertilizer use intensity: evidence from wheat farmers in china.Journal of Environmental Management,197, 130-139.

[17]Xie, H., He, Y., Zhang, N*., & Lu, H. (2017). Spatiotemporal changes and fragmentation of forest land in jiangxi province, china.Journal of Forest Economics.29, 4-13.

[18]Liu Y, Xiao H, Lv K, Zhang N*.2017. The effect of new-type urbanization on energy consumption in China: a spatial econometric analysis. Journal of Cleaner Production, 163, 299-305.

[19]Liu Y, Ji Y, Shao S, Zhong F, Zhang N. 2017. Scale of Production, Agglomeration and Agricultural Pollutant Treatment: Evidence From a Survey in China. Ecological Economics, 140, 30-45.

[20]Du L., Hanley A., Zhang N*. 2016. Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis. Resource and Energy Economics, 43, 14-32. (SSCI)

[21]Zhang N., Wang B, Chen Z. 2016. Carbon emission reductions and technology gaps in the world's factory, 1990–2012. Energy Policy,91, 28-37. (SSCI)

[22]Zhang N., Wang B, Liu Z. 2016. Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors. Energy, 99, 10-19. (SCI) IF=4.883

[23]Zhang, N., Wu T, Bing Wang, Liang Dong, Jingzhen Ren. 2016. Sustainable water resource and endogenous economic growth. Technological Forecasting and Social Change, 112(11), 237-244.

[24]Choi Y, Bone C, Zhang, N*. Sustainable policies and strategies in Asia: Challenges for green growth. Technological Forecasting and Social Change, 112(11), 134-137.

[25]Liu G.,Wang B, Zhang N*.2016. A coin has two sides: which one is driving China's green TFP growth? Economic systems, 40(9), 481-498.SSCI

[26]Li, K., Zhang,N*., Liu Y.2016. The energy rebound effects across China’s industrial sectors: An output distance function approach. Applied Energy, 184, 1165-1175.

[27]Zhao R, Liu Y, Zhang. N* Huang T. 2017. An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production.142,1085-1097

[28]Pan D, Zhou G, Zhang, N*. 2016. Farmers’ Preferences for Livestock Pollution Control Policy in China: A Choice Experiment Method. Journal of Cleaner Production, 131, 572-582.

[29]Zhang, N., Yu.Y. 2016. Marginal abatement cost of pollutants for China: A non-parametric approach. Energy Sources, Part B: Economics, Planning, and Policy (SCI),11(8), 753-759.

[30]Shao, Ling; Guan, Dabo; Zhang, Ning; Shan, Yuli; Chen, G.Q. Carbon emissions from fossil fuel consumption of Beijing in 2012, Environmental Research Letters, 2016,11,

[31]Liu Y, Xiao H, Zhang, N*. Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis. Sustainability, 8(3), 210-219.

[32]Liu Y, Xiao H, Lv K, Zhang N*.2017. The effect of new-type urbanization on energy consumption in China: a spatial econometric analysis. Journal of Cleaner Production, 163, 299-305.

[33]Luo X, Dong L, Dou Y, Zhang N, et al. 2016, Analysis on Spatial-temporal Features of Taxis’ Emissions from Big Data Informed Travel Patterns: A Case of Shanghai, China, Journal of Cleaner Production (2016), doi: 10.1016/j.jclepro.2016.05.161.

[34]Liang H., Ren J. Dong L. Zhang N. 2016. Is the hydrogen production from biomass technology really sustainable? Answer by Life Cycle Emergy Analysis. International Journal of Hydrogen Energy, DOI: 10.1016/j.ijhydene.2016.04.082

[35]Liang H, Dong L, Zhang, N. 2016. Feasibility of a new-generation nighttime light data for estimating in-use steel stock of buildings and civil engineering infrastructures. Resources Conservation and Recycling. DOI: 10.1016/j.resconrec.2016.04.001

[36]Liang H, Dong L Luo X, Zhang N. 2016. Balancing regional industrial development: analysis on regional disparity of China's industrial emissions and policy implications. Journal of Cleaner Production, 126, 223-235.

[37]Zhang, N., Wang, B. 2015. A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case. Energy Economics, 51, 88-98. (SSCI) IF=2.580

[38]Zhang, N., Xie H. 2015. Toward Green IT: Modeling Sustainable Production Characteristics for Chinese Electronic Information Industry, 1980-2012. Technological Forecasting and Social Change,96, 62-70. (SSCI)

[39]Zhang, N*., Wei, X. 2015. Dynamic total factor carbon emissions performance changes in the Chinese transportation industry. Applied Energy, 146, 409-420. IF=5.261 (SSCI&SCI ESI TOP1%)

[40]Zhang, N., Kung, C., Zhou, P. 2015. Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renewable and SustainableEnergy Reviews, 41, 584-593.SCI&SSCI)(ESI TOP1%

[41]Zhang, N., Kong, F., Yu, Y. 2015. Measuring ecological total-factor energy efficie