scholarly journals Efficiency Evaluation of Green Technology Innovation of China’s Industrial Enterprises Based on SBM Model and EBM Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wei Chen ◽  
Liying Pan ◽  
Chaoran Lin ◽  
Mengqi Zhao ◽  
Tan Li ◽  
...  
Keyword(s):  
Coming Out ◽  
Value Chain ◽  
Technology Innovation ◽  
Proper Time ◽  
Green Technology ◽  
Ecological Environment ◽  
Eastern Region ◽  
Network Dea ◽  
Industrial Enterprises ◽  
Sbm Model

The industrial revolution has brought a leap in productivity; however, some severe ecological environment and resource problems are coming out with the development of industrialization. To achieve sustainable development of social economy, green technology innovation emerges in response to the proper time and conditions. In this context, the correct approach to measure the efficiency of green technology innovation in China’s industrial enterprises is an important research topic. Based on existing studies, this paper divides innovation activities into two stages based on the innovation value chain and constructs a two-stage evaluation index system including all kinds of undesirable outputs transferred from negative externalities of the ecological environment. To evaluate green technology innovation efficiency, SBM and EBM network DEA models are applied to conduct empirical analysis from the perspective of time and space. This paper also calculates the efficiency values based on the SBM model and the EBM model, respectively, and compares the differences between them. The results show that the efficiency value of the achievement transformation stage is significantly higher than that of technology development stage; there are noticeable gaps in the efficiency of green technology innovation between different regions of China. Besides, the eastern region has a better performance in green technology innovation than the western region and Qinghai has the best green technology innovation performance. Combining the empirical results, the corresponding policy recommendations are put forward.

scholarly journals Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China

2019 ◽  
Vol 16 (6) ◽  
pp. 940 ◽  
Author(s):  
Jun-liang Du ◽  
Yong Liu ◽  
Wei-xue Diao
Keyword(s):  
Economic Growth ◽  
Value Chain ◽  
Regional Differences ◽  
Technology Innovation ◽  
Indicator System ◽  
Green Technology ◽  
Green Innovation ◽  
High Quality ◽  
Two Stage ◽  
Industrial Enterprises

Green technology innovation is an important means to break out of the constraints of resources and the environment, enhance the competitiveness of enterprises, and achieve the upgrading of industrial structures, and promote high-quality economic growth. In order to realize the overall improvement of the green technology innovation capability of Chinese enterprises, it is necessary to measure the efficiency of industrial enterprises’ green technology innovation and explore their regional differences. In this paper, from the perspective of a two-stage innovation value chain, by introducing the industrial carbon emissions per unit of Gross Domestic Product (GDP) and the “three wastes” pollutants into the research framework of green technology innovation efficiency, we established a novel green innovation efficiency evaluation indicator system for industrial enterprises. Furthermore, we used a two-stage network DEA with shared input to measure the efficiency of regional enterprises’ green technology innovation and explored the regional differences in industrial enterprises’ green technology R&D and the efficiency of green technology achievement transformation. Finally, we provide some suggestions for improving China’s industrial enterprises’ green innovation efficiency, so that they can ameliorate the significant regional imbalances and differences and realize high-quality economic growth.

Evaluation of Green Technology Innovation Capacity of Automobile Manufacture Industry

2010 ◽  
Vol 44-47 ◽  
pp. 206-212
Author(s):  
Yan Rong Wang ◽  
Qiao Ling Xu
Keyword(s):  
Technology Innovation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Green Technology ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
Matlab Toolbox ◽  
Comprehensive Evaluation Model ◽  
Innovation Capacity ◽  
Manufacture Industry

to cope with the pressure of energy and ecological environment, automobile manufacture industry must implement green technology innovation. According to the characteristics of green technology innovation, the paper puts forward evaluation index system of green technology innovation capacity , establishes comprehensive evaluation model based on improved BP neutral algorithm by Matlab toolbox, and carries out empirical analysis of data from automobile manufacture industry, finally reaches a conclusion.

scholarly journals Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 122
Author(s):  
Liyuan Zhang ◽  
Xiang Ma ◽  
Young-Seok Ock ◽  
Lingli Qing
Keyword(s):  
Gini Coefficient ◽  
Regional Differences ◽  
Technology Innovation ◽  
Influencing Factor ◽  
Growth Period ◽  
Spillover Effects ◽  
Development Trend ◽  
Green Technology ◽  
Government Support ◽  
Eastern Region

Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super efficiency slacks-based measure (SBM) model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: “stationary period”, “recession period” and “growth period”. However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted ‘U’ shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.

The Modern Green Technology Innovation of Bayu Traditional Wooden Building

2014 ◽  
Vol 1065-1069 ◽  
pp. 1610-1617
Author(s):  
Li Li Dong ◽  
Yin Hang Lu ◽  
Guo Chen
Keyword(s):  
Sustainable Development ◽  
Fire Protection ◽  
Energy Cost ◽  
Optimization Design ◽  
Technology Innovation ◽  
Green Technology ◽  
Ecological Environment ◽  
Material Quality ◽  
Local Climate ◽  
Design Proposal

Wooden buildings have the advantages in accordance with the construction of sustainable development. The humid and rainy local climate and diversified geographic condition in Bayu give birth to its unique farming civilization of wooden architecture. This paper is trying to research how does Bayu traditional wooden building to meet the demands from people’s modern lifestyle, to provide a reference of designing modern sustainable architecture and a idea of design proposal. To achieve the aim, first this research will analyze few natural attributes of Bayu wooden building for moisture-proof, insect prevention and fire protection. Second to estimate how to enhance the sustainability of wooden building though reduce pollution, improve material quality, in order to get the optimization design of lap and nodes, decrease the energy cost and upgrade structure potential; Finally to explore the possibility of mix-using both wood and regional materials to improve the ecological environment.

scholarly journals Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition

2021 ◽  
Author(s):  
Liyuan Zhang ◽  
Pengzhen Liu ◽  
Heather Tarbert ◽  
Qingyu Bu
Keyword(s):  
Gini Coefficient ◽  
Regional Differences ◽  
Technology Innovation ◽  
Influencing Factor ◽  
Growth Period ◽  
Spillover Effects ◽  
Development Trend ◽  
Green Technology ◽  
Government Support ◽  
Eastern Region

Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super-efficient SBM model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing of the industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, the industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: " stationary period", " recession period " and "growth period ". However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted 'U' shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.

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