scholarly journals The Energy Efficiency and the Main Influencing Factors for the Logistics Industry in the Yangtze River Economic Belt in China

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xun Li ◽  
Chuan Lin
Keyword(s):  
Energy Efficiency ◽  
Technical Efficiency ◽  
Influencing Factors ◽  
Yangtze River ◽  
Scale Efficiency ◽  
Energy Structure ◽  
The Yangtze River ◽  
Service Capacity ◽  
Logistics Industry ◽  
East Central

Logistics is the booster of economic development, and it is imperative to further improve the logistics energy efficiency and adjust its development model. This paper is an attempt to investigate the logistics energy efficiency and main influencing factors of the Yangtze River Economic Belt, which is the most economically intensive region that spans East, Central, and West China. The input-oriented SBM-DEA model is employed to identify factors such as energy input, undesirable output, and service capacity output as well as the logistics energy efficiency of Yangtze River Economic Belt. Energy efficiency is then further decomposed into pure technical efficiency, scale efficiency, and technical efficiency, from the perspective of which provinces and cities are compared. The research results show that the logistics energy efficiency of Yangtze River Economic Belt needs to be further improved and that energy efficiency differs greatly among cities and provinces, indicating that the development is quite unbalanced in different areas. Therefore, the local government should develop development strategies according to the main influencing factors and constraints to the local logistics industry, so as to optimize and upgrade the energy structure of the logistics industry.

scholarly journals Regional Differences of Manufacturing Green Development Efficiency Considering Undesirable Outputs in the Yangtze River Economic Belt Based on Super-SBM and WSR System Methodology

2021 ◽  
Vol 8 ◽  
Author(s):  
Gen Li ◽  
Ying Zhou ◽  
Fan Liu ◽  
Tao Wang
Keyword(s):  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Manufacturing Industry ◽  
Mean Value ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Undesirable Outputs ◽  
The Yangtze River ◽  
Green Development

To explore the evolution mechanism of manufacturing green development efficiency is of great significance to realize green transformation of manufacturing industry in the Yangtze River Economic Belt. This paper fully considers the resource inputs and undesirable outputs in the production process and applies WSR methodology to construct the index system of influencing factors. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 1998 to 2017, the super-SBM model is used to calculate the manufacturing green development efficiency. Then, the regional differences of manufacturing green development efficiency in the Yangtze River Economic Belt are deeply analyzed. Finally, Tobit model is applied to analyze the influencing factors of the manufacturing green development efficiency. And it turns out, during the statistics period, manufacturing green development efficiency in the Yangtze River Economic Belt is “U” shaped distribution, the mean value of each province over the years is 0.812, which is at the medium development level; the manufacturing green development efficiency in the Yangtze River Economic Belt is on the rise, and the low scale efficiency is the main reason that restricts the manufacturing green development efficiency in the Yangtze River Economic Belt. All the influencing factors have different effects on the manufacturing green development efficiency in different regions. Therefore, this paper puts forward corresponding policy suggestions from the three dimensions of Wuli, Shili and Renli.

scholarly journals Industrial Energy-Related CO2 Emissions and Their Driving Factors in the Yangtze River Economic Zone (China): An Extended LMDI Analysis from 2008 to 2016

2020 ◽  
Vol 17 (16) ◽  
pp. 5880
Author(s):  
Linlin Ye ◽  
Xiaodong Wu ◽  
Dandan Huang
Keyword(s):  
Co2 Emissions ◽  
Influencing Factors ◽  
Yangtze River ◽  
Energy Intensity ◽  
Driving Factors ◽  
Energy Structure ◽  
The Yangtze River ◽  
Economic Output ◽  
Industrial Energy ◽  
Economic Zone

As the world’s largest developing country in the world, China consumes a large amount of fossil fuels and this leads to a significant increase in industrial energy-related CO2 emissions (IECEs). The Yangtze River Economic Zone (YREZ), accounting for 21.4% of the total area of China, generates more than 40% of the total national gross domestic product and is an important component of the IECEs from China. However, little is known about the changes in the IECEs and their influencing factors in this area during the past decade. In this study, IECEs were calculated and their influencing factors were delineated based on an extended logarithmic mean Divisia index (LMDI) model by introducing technological factors in the YREZ during 2008–2016. The following conclusions could be drawn from the results. (1) Jiangsu and Hubei were the leading and the second largest IECEs emitters, respectively. The contribution of the cumulative increment of IECEs was the strongest in Jiangsu, followed by Anhui, Jiangxi and Hunan. (2) On the whole, both the energy intensity and R&D efficiency play a dominant role in suppressing IECEs; the economic output and investment intensity exert the most prominent effect on promoting IECEs, while there were great differences among the major driving factors in sub-regions. Energy structure, industrial structure and R&D intensity play less important roles in the IECEs, especially in the central and western regions. (3) The year of 2012 was an important turning point when nearly half of these provinces showed a change in the increment of IECEs from positive to negative values, which was jointly caused by weakening economic activity and reinforced inhibitory of energy intensity and R&D intensity.

scholarly journals Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas

2021 ◽  
Vol 13 (19) ◽  
pp. 10961
Author(s):  
Luping Zhang ◽  
Yingying Zhu ◽  
Liwei Fan
Keyword(s):  
Energy Efficiency ◽  
Influencing Factors ◽  
Network Structure ◽  
Yangtze River ◽  
Spatial Association ◽  
Urban Agglomeration ◽  
Spatial Network ◽  
The Yangtze River ◽  
Urban Agglomerations ◽  
Urban Energy

Energy efficiency has proved to be effective in mitigating greenhouse gas emissions and is significant to carbon neutrality targets. Urban agglomeration is the major engine of urbanization supporting economic growth. To optimizing the spatial exchange structure to improve regional energy efficiency by integrating the total factor energy efficiency model and social network analysis, this study constructs the spatial network of energy efficiency among cities within five major urban agglomerations in China for the period 2011–2018 and investigates their spatial association characteristics. The influencing factors of each spatial network structure are also explored by the quadratic assignment procedure method. The findings show that the spatial association of energy efficiency within each urban agglomeration presents a typical network structure, but with considerable disparity among urban agglomerations. Most cities in the Yangtze River Delta and Pearl River Delta are closely connected with each other, while the surrounding cities in the areas of Beijing-Tianjin-Hebei, Chengyu and the Middle Reaches of the Yangtze River highly depend on their corresponding central cities. The spatial adjacency and GDP per capita determine the urban spatial relationship of the energy efficiency within urban agglomerations. In addition, the spatial correlation of urban energy efficiency in the Beijing-Tianjin-Hebei, Chengyu and Middle Reaches of the Yangtze River areas is also affected by the differences in energy consumption, capital stock, number of labor force and pollutant emission. Some suggestions for improving urban energy efficiency are discussed.

Research on operating efficiency of incubators based on DEA: A case study of China’s yangtze river economic belt

2021 ◽  
pp. 1-9
Author(s):  
Wang Lijun ◽  
Pang Yaqian ◽  
Chen Mengdong
Keyword(s):  
Yangtze River ◽  
Science And Technology ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
The Yangtze River ◽  
Business Incubators ◽  
Government Investment ◽  
Input Sharing

Data envelopment analysis (DEA) was used to measure the comprehensive efficiency, pure technical efficiency and scale efficiency of science and technology business incubators in 11 provinces and cities of the Yangtze River economic belt from 2011 to 2017, and the situation of incubators in the Yangtze River economic belt was analyzed from the overall, horizontal and vertical perspectives. Results show that the overall operation efficiency of science and technology business incubators in the Yangtze River economic belt is relatively high, but it shows a downward trend in the sample period, and it is found that the development of science and technology business incubators in the Yangtze River economic belt is unbalanced, there are regional differences, and some provinces and cities have serious redundancy of incubator personnel and incubation funds. On this basis, some suggestions are put forward, such as reducing the number of managers and tutors, adjusting the dominant position of government investment in science and technology business incubators, and creating resource input sharing enterprise output circulation chain.

Government cooperation, market integration, and energy efficiency in urban agglomerations—Based on the quasi-natural experiment of the Yangtze River Delta Urban Economic Coordination Committee

2021 ◽  
pp. 0958305X2110474
Author(s):  
Da Gao ◽  
Ge Li ◽  
Yi Li
Keyword(s):  
Energy Efficiency ◽  
Yangtze River ◽  
Market Integration ◽  
Natural Experiment ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
The Yangtze River ◽  
The Government ◽  
The Yangtze River Delta

Energy efficiency is the key to green development, and the government plays a vital role in energy efficiency. This paper clarifies the mechanism by which the Yangtze River Delta Economic Coordination Committee affects the energy efficiency of urban agglomeration by promoting market integration. Based on panel data of China's prefecture-level cities from 2004 to 2017, we take the Yangtze River Delta Economic Coordination Committee as a quasi-natural experiment of government cooperation and use the difference-in-difference method to test whether this organization has enhanced the energy efficiency of urban agglomeration. The results show that the Yangtze River Delta Economic Coordination Committee can significantly improve energy efficiency in urban agglomerations. The mechanism analysis shows that it reduces the energy consumption per unit of gross domestic product by enhancing the marketization level, perfecting the relationship between the government and the market, and improving the factor market development. The heterogeneity analysis shows that cities with lower city size, lower level of innovation, and cleaner industrial structures gain more benefits in energy efficiency from government cooperation in urban agglomeration. This paper provides empirical evidence for cities to realize integrated energy conservation through government cooperation and market integration.

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