Overall optimization model of efficiency and performance of green technology innovation

Abstract Nowadays, China's economic development is in a rapid and stable state, in which scientific and technological innovation has played a great role in promoting the development of economic society. Scientific and technological innovation is an important indicator to measure the competitiveness of modern economic society, and is also the pillar and driving force for the survival of regional economic development. It is of great significance to study the overall optimization model of efficiency and performance of green technology innovation for the development of technological innovation and sustainable economic development in China. In this paper, we analyze the dynamic change of green technology in China from the perspective of time, static innovation model and regional innovation model. The results show that the overall level of green technology innovation efficiency of China`s industrial industry is low, and the scale efficiency of enterprises is high, which indicates that enterprises rely heavily on scale level. In order to improve the overall green technology innovation efficiency, the technology and management level should be improved accordingly; the efficiency of green technology innovation varies greatly among regions, Comparing the efficiency values of southeast, middle and Northwest China, it is found that the regional development is in a very unbalanced state, especially in the northwest region, the efficiency value is low in the stage of achievement transformation. Finally, according to the research results, this paper puts forward some measures, such as increasing investment in technology research and development, improving the ability of green technology innovation, optimizing the allocation of resources reasonably, and strengthening the guidance and support of enterprise green technology innovation.

[1]  Joëlle Noailly,et al.  Improving the Energy-Efficiency of Buildings: The Impact of Environmental Policy on Technological Innovation , 2012 .

[2]  Kevin Ortbach,et al.  The inner and the outer model in explanatory design theory: the case of designing electronic feedback systems , 2016, Eur. J. Inf. Syst..

[3]  Sebastián Lozano,et al.  Alternative SBM Model for Network DEA , 2015, Comput. Ind. Eng..

[4]  Weiwei Wu,et al.  Success probability orientated optimization model for resource allocation of the technological innovation multi-project system , 2016 .

[5]  Yihua Liu,et al.  An ADRC Method for Noncascaded Integral Systems Based on Algebraic Substitution Method and Its Structure , 2018 .

[6]  Dongrui Fan,et al.  An Evolutionary Technique for Performance-Energy-Temperature Optimized Scheduling of Parallel Tasks on Multi-Core Processors , 2016, IEEE Transactions on Parallel and Distributed Systems.

[7]  Samee Ullah Khan,et al.  Autonomic Power & Performance Management for Large-Scale Data Centers , 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

[8]  Wen-der Yu,et al.  Green innovation of green roof technology - a case study , 2017 .

[9]  Hu Zhang,et al.  How Environmental Regulations Affect the Efficiency of Green Technology Innovation? , 2020 .

[10]  Sanjay Ranka,et al.  Energy- and performance-aware scheduling of tasks on parallel and distributed systems , 2012, JETC.

[11]  Sanjay Ranka,et al.  An overview and classification of thermal-aware scheduling techniques for multi-core processing systems , 2012, Sustain. Comput. Informatics Syst..

[12]  Lei Liang,et al.  Research on the Efficiency of Green Technology Innovation in China’s Provincial High-End Manufacturing Industry Based on the RAGA-PP-SFA Model , 2018, Mathematical Problems in Engineering.

[13]  Yeong Jae Kim,et al.  Impact of domestic energy-efficiency policies on foreign innovation: The case of lighting technologies , 2019, Energy Policy.

[14]  Xuemei Xie,et al.  Green process innovation, green product innovation, and corporate financial performance: A content analysis method , 2019, Journal of Business Research.

[15]  Dora Marinova,et al.  Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width , 2018, Technol. Anal. Strateg. Manag..

[16]  Shengrong Liang,et al.  Study on the efficiency and regional disparity of green technology innovation in China’s industrial companies , 2016 .

[17]  A. Sharma,et al.  Energy Sustainability Through Green Energy , 2015 .

[18]  Yingyuan Guo,et al.  Environmental Regulation, Government R&D Funding and Green Technology Innovation: Evidence from China Provincial Data , 2018 .

[20]  Sanjay Ranka,et al.  Handbook of Energy-Aware and Green Computing - Two Volume Set , 2012 .

[21]  M. H. Alavidoost,et al.  A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies , 2016 .

[22]  A. Burgasser,et al.  Let’s Get Physical: Teaching Physics Through Gymnastics , 2018 .

[23]  Y. Bilan,et al.  Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries , 2019, Sustainability.

[24]  Yingbao Zhou.  Design of Moodle-based Podcast Teaching Platform for the Course of Aerobic Gymnastics , 2017, iJET.

[25]  Yongjun Li,et al.  Environmental performance evaluation of Chinese industrial systems: a network SBM approach , 2018, J. Oper. Res. Soc..

[26]  Da-ming You,et al.  Optimal strategy for enterprises’ green technology innovation from the perspective of political competition , 2019, Journal of Cleaner Production.

[27]  Yan Xu,et al.  Analysis of the scientific and technological innovation efficiency and regional differences of the land–sea coordination in China's coastal areas , 2019, Ocean & Coastal Management.

[28]  Thomas L. Saaty,et al.  Evaluating and Optimizing Technological Innovation Efficiency of Industrial Enterprises Based on Both Data and Judgments , 2017, Int. J. Inf. Technol. Decis. Mak..

[29]  M. Glachant,et al.  The impact of energy prices on product innovation: Evidence from the UK refrigerator market , 2017 .