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 Green Development Efficiency Measurement and Influencing Factors of the Paper Industry in the Yangtze River Economic Belt

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1286
Author(s):  
Yunbo Xiang ◽  
Shengyun Wang ◽  
Yong Zhang ◽  
Zhijun Dai
Keyword(s):  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Paper Industry ◽  
Hunan Province ◽  
Theil Index ◽  
The Yangtze River ◽  
Gravity Center ◽  
Positive Effects ◽  
Green Development

The paper industry is a traditional industry with extensive consumption of resources and energy and more pollutant discharge. This industry is closely related to production and life activities. Under the general requirement of “to step up conservation of the Yangtze River and stop its over development,” the paper industry in the Yangtze River Economic Belt should urgently undergo green transformation and development. Based on the undesirable slack-based measure model, spatial gravity center, Kernel density function, Theil index, and panel model, this study examines the green development efficiency and its influencing factors of the paper industry in the Yangtze River Economic Belt from 2001 to 2016. Results showed the following: (1) from 2001 to 2016, the green development efficiency of the paper industry in the Yangtze River Economic Belt had been steadily improved, but the overall efficiency value is not high, which has a great potential for improvement. The green development efficiency of the paper industry in the Yangtze River Economic Belt presents the regional differentiation law of gradient increasing in the upper, middle, and lower reaches. (2) According to the gravity center trajectory, the efficiency center of the green development of the paper industry in the Yangtze River Economic Belt is located in the middle reaches of Hunan Province and Hubei Province and moves to the southwest. This case indicates that the green development efficiency of the paper industry in provinces and cities in the southwest has been improved. (3) The regional differences in the green development efficiency of the paper industry in the Yangtze River Economic Belt show the characteristics of narrowing fluctuations. The regional differences are the primary sources of the difference in the green development efficiency of the paper industry. (4) The enterprise scale, science and technology investment, and industrial structure have significant positive effects on the green development efficiency of the paper industry in the Yangtze River Economic Belt. On the contrary, environmental regulation and foreign investment intensity have significant negative effects. However, the above factors have different effects on the green development efficiency of the paper industry in the upper, middle, and lower reaches of the Yangtze River Economic Belt.

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 Inequality and Influencing Factors of Primary PM Emissions in the Yangtze River Delta, China

2019 ◽  
Vol 11 (8) ◽  
pp. 2269 ◽  
Author(s):  
Haibin Xia ◽  
Hui Wang ◽  
Guangxing Ji
Keyword(s):  
Particulate Matter ◽  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Theil Index ◽  
The Yangtze River ◽  
The Yrd ◽  
The Yangtze River Delta

In recent years, haze pollution has become more and more serious in the Yangtze River Delta (YRD). However, the impact mechanism of socio-economic factors on primary particulate matter (PM) emissions remains unclear. Based on the provincial primary PM emission data in the YRD from 1995 to 2014, this paper used Slope, Theil index, and Stochastic Impacts by Regression on Population, Affluence, and Technology (STIAPAT) models to quantitatively identify the regional differences of primary PM emissions and explore the key influencing factors. The results showed that primary fine particulate matter (PM2.5), inhalable particulate (PM10), and total suspended particulate (TSP) emissions all featured an upward trend of fluctuation over the study period. The regional differences in primary TSP emissions in the YRD region was gradually shrinking and the regional differences of primary PM2.5 and PM10 emissions presented a rising trend of fluctuation. The estimated coefficient of population size, energy structure, and fixed assets investment (FAI) were all significantly positive at the level of 1%. The negative effect of economic growth on energy PM emissions was significant under the level of 1%. The increase of foreign direct investment (FDI) had different effects on primary PM2.5, PM10, and TSP emissions. In addition, the influence of energy intensity on primary PM emission from energy consumption are mainly negative but not significant even under the level of 10%. These conclusions have guiding significance for the formulation of PM emission reduction policy without affecting YRD’s economic development.

scholarly journals Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China

2021 ◽  
Vol 18 (11) ◽  
pp. 6111
Author(s):  
Senlin Hu ◽  
Gang Zeng ◽  
Xianzhong Cao ◽  
Huaxi Yuan ◽  
Bing Chen
Keyword(s):  
Technological Innovation ◽  
Yangtze River ◽  
Positive Impact ◽  
Scientific Basis ◽  
Three Dimensions ◽  
The Yangtze River ◽  
Positive Role ◽  
Urban Green ◽  
Green Development

The role of technological innovation (TI) in green development is controversial. Based on 2003–2017 panel data of 108 cities in the Yangtze River Economic Belt (YREB), this study constructed an index system to evaluate urban green development and analyzed the role of TI on urban green development with the help of a panel econometric model. The results show that: (1) From 2003 to 2017, the levels of TI and green development of cities in the YREB have gradually improved, but the core–periphery structure is obvious, and the levels of TI and green development in the lower reaches are significantly higher than those in the middle and upper reaches. (2) TI has a significant positive role in promoting green development, showing a U-shaped nonlinear relationship, and this relationship varies from region to region. (3) TI has a significant impact on green development with direct and indirect effects. In the economic and social dimensions, TI has a positive impact on green development, while in the ecological dimension, the direct effect and indirect effect have opposite relationships. (4) TI has a significant threshold effect on green development, and there are differences in threshold characteristics between the three dimensions. These findings provide a scientific basis for policymaking about innovation-driven regional green development, and it can enrich the related theories of environmental economic geography.

scholarly journals Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252337
Author(s):  
Zhaohan Wang ◽  
Zijie Zhao ◽  
Chengxin Wang
Keyword(s):  
Random Forest ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Regional Differences ◽  
Yangtze River ◽  
Carbon Emission ◽  
Machine Learning Algorithms ◽  
Population Characteristics ◽  
The Yangtze River ◽  
Real World Data

China became the country with the largest global carbon emissions in 2007. Cities are regional population and economic centers and are the main sources of carbon emissions. However, factors influencing carbon emissions from cities can vary with geographic location and the development history of the cities, rendering it difficult to explicitly quantify the influence of individual factors on carbon emissions. In this study, random forest (RF) machine learning algorithms were applied to analyze the relationships between factors and carbon emissions in cities using real-world data from Chinese cities. Seventy-three cities in three urban agglomerations within the Yangtze River Economic Belt were evaluated with respect to urban carbon emissions using data from regional energy balance tables for the years 2000, 2007, 2012, and 2017. The RF algorithm was then used to select 16 prototypical cities based on 10 influencing factors that affect urban carbon emissions while considering five primary factors: population, industry, technology levels, consumption, and openness to the outside world. Subsequently, 18 consecutive years of data from 2000 to 2017 were used to construct RFs to investigate the temporal predictability of carbon emission variation in the 16 cities based on regional differences. Results indicated that the RF approach is a practical tool to study the connection between various influencing factors and carbon emissions in the Yangtze River Economic Belt from different perspectives. Furthermore, regional differences among the primary carbon emission influencing factors for each city were clearly observed and were related to urban population characteristics, urbanization level, industrial structures, and degree of openness to the outside world. These factors variably affected different cities, but the results indicate that regional emission reductions have achieved positive results, with overall simulation trends shifting from underestimation to overestimation of emissions.

scholarly journals Local Government Competition and Regional Green Development in China: The Mediating Role of Environmental Regulation

2020 ◽  
Vol 17 (10) ◽  
pp. 3485 ◽  
Author(s):  
Na Zhang ◽  
Jinqian Deng ◽  
Fayyaz Ahmad ◽  
Muhammad Umar Draz
Keyword(s):  
Local Government ◽  
Environmental Regulation ◽  
Regional Differences ◽  
Evaluation System ◽  
Measure Data ◽  
Scale Efficiency ◽  
Fiscal Competition ◽  
Green Development ◽  
Key Factor ◽  
Investment Competition

Green development is an important way to meet the challenges of ecological and environmental protection and economic growth, as well as an inevitable choice to realize China’s sustainable development in the new era. The Chinese economic system is such that local government competition has become a key factor affecting regional green development under the current leadership. Based on the inter-provincial panel data of 30 provinces in mainland China from 1997 to 2017, this paper uses the total-factor non-radial directional distance function and slack-based measure data envelopment analysis (SBM-DEA) to measure the green development efficiency of the provinces. Additionally, it also uses the Malmquist–Luenberger (ML) index to decompose green development efficiency and analyzes its internal driving factors. Finally, taking environmental regulation as a mediating variable, this paper empirically analyzes the influence mechanism of local government competition on green development efficiency from three perspectives including growth competition, fiscal competition and investment competition. The study found that: the green development efficiency of Chinese regions showed a downward trend, with significant regional differences; technological progress is the key factor to improve the efficiency of green development, and its role gradually decreases from eastern to western and central regions; pure technical efficiency has become a bottleneck restricting the improvement of green development efficiency, while scale efficiency shows significant regional differences; the growth competition, fiscal competition and investment competition of local government all have a significant inhibitory effect on the efficiency of green development. This paper puts forward policy suggestions supporting enterprise technology research and development, optimizing energy conservation and emission reduction as well as improving the local government performance evaluation system for green development.

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