首站-论文投稿智能助手
典型文献
Sustainability performance analysis of environment innovation systems using a two-stage network DEA model with shared resources
文献摘要:
The term environmental innovation system refers to an innovation network composed of enterprises,universities,and research institutions involved in the development and diffusion of environmental technology,with the participation of a government.An environmental innovation system not only exerts important impact on the achievement of carbon neutrality but also affects social and economic activities.Investigations on environmental innovation system performance constantly assume a single-stage independent system while ignoring its internal struc-ture.However,such systems are composed of environmen-tal innovation research and development(R&D)and envi-ronmental innovation conversion subsystems.A two-stage data envelopment analysis(DEA)model is developed in this study to analyze the efficiency of Chinese regional environmental innovation system by opening the"black box"and considering shared resources.Empirical results indicated that China presents high overall environmental innovation efficiency although some regions need to improve.Regions with low efficiencies in both environ-mental innovation R&D(EIR)and environmental innova-tion conversion(EIC)subsystems should expand their investment in and strengthen the management of environ-mental innovation resources.Regions with low EIR effi-ciency should improve the absorption and transformation of environmental innovation achievements.Regions with low EIC efficiency should increase investment in the commercialization of environmental innovation achieve-ments and encourage green economy industries,such as new energy,art,tourism,and environmental protection.
文献关键词:
作者姓名:
Jiangjiang YANG;Jie WU;Xingchen LI;Qingyuan ZHU
作者机构:
School of Management,University of Science and Technology of China,Hefei 230026,China;School of Accounting,Nanjing Audit University,Nanjing 211815,China;College of Economics and Management,Research Center for Soft Energy Science,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
引用格式:
[1]Jiangjiang YANG;Jie WU;Xingchen LI;Qingyuan ZHU-.Sustainability performance analysis of environment innovation systems using a two-stage network DEA model with shared resources)[J].工程管理前沿(英文版),2022(03):425-438
A类:
B类:
Sustainability,performance,analysis,innovation,using,stage,network,DEA,model,shared,resources,term,environmental,refers,composed,enterprises,universities,research,institutions,involved,development,diffusion,technology,participation,government,An,not,only,exerts,important,impact,carbon,neutrality,but,also,affects,social,economic,activities,Investigations,constantly,assume,single,independent,while,ignoring,its,internal,struc,ture,However,such,conversion,subsystems,data,envelopment,developed,this,study,analyze,efficiency,Chinese,regional,by,opening,black,box,considering,Empirical,results,indicated,that,China,presents,high,overall,although,some,regions,need,improve,Regions,low,efficiencies,both,EIR,EIC,should,expand,their,investment,strengthen,management,absorption,transformation,achievements,increase,commercialization,encourage,green,economy,industries,new,energy,tourism,protection
AB值:
0.518308
相似文献
Water resource conservation promotes synergy between economy and environment in China's northern drylands
Yali Liu;Jianqing Du;Boyang Ding;Yuexian Liu;Wenjun Liu;Anquan Xia;Ran Huo;Qinwei Ran;Yanbin Hao;Xiaoyong Cui;Yanfen Wang-College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;College of Life Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;Yanshan Earth Critical Zone and Surface Fluxes Research Station,University of Chinese Academy of Sciences,Beijing 100049,China;State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Shandong Tudi Development Group Co.,Ltd.,Jinan 250101,China;CAS Center for Excellence in Tibetan Plateau Earth Sciences,Chinese Academy of Sciences,Beijing 100101,China
Measuring and evaluating SDG indicators with Big Earth Data
Huadong Guo;Dong Liang;Zhongchang Sun;Fang Chen;Xinyuan Wang;Junsheng Li;Li Zhu;Jinhu Bian;Yanqiang Wei;Lei Huang;Yu Chen;Dailiang Peng;Xiaosong Li;Shanlong Lu;Jie Liu;Zeeshan Shirazi-International Research Center of Big Data for Sustainable Development Goals,Beijing 100094,China;Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Botany,Chinese Academy of Sciences,Beijing 100093,China;Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;Key Laboratory of Remote Sensing of Gansu Province,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
City-level emission peak and drivers in China
Yuli Shan;Yuru Guan;Ye Hang;Heran Zheng;Yanxian Li;Dabo Guan;Jiashuo Li;Ya Zhou;Li Li;Klaus Hubacek-School of Geography,Earth and Environmental Sciences,University of Birmingham,Birmingham B15 2TT,UK;Integrated Research on Energy,Environment and Society,Energy and Sustainability Research Institute Groningen,University of Groningen,Groningen 9747 AG,Netherlands;College of Economics and Management&Research Centre for Soft Energy Science,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;The Bartlett School of Sustainable Construction,University College London,London WC1E 6BT,UK;Industrial Ecology Programme,Norwegian University of Science and Technology,Trondheim 7491,Norway;Department of Earth System Science,Tsinghua University,Beijing 100871,China;Institute of Blue and Green Development,Shandong University,Weihai 264209,China;Key Laboratory of City Cluster Environmental Safety and Green Development,Ministry of Education,School of Ecology,Environment and Resources,Guangdong University of Technology,Guangzhou 510006,China;School of Economics and Management,China University of Geosciences,Beijing 100083,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。