scholarly journals Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test

2020 ◽  
Vol 12 (6) ◽  
pp. 2225 ◽  
Author(s):  
Jianqing Zhang ◽  
Song Wang ◽  
Peilei Yang ◽  
Fei Fan ◽  
Xueli Wang
Keyword(s):  
Sustainable Development ◽  
Labor Force ◽  
Control Variable ◽  
Scale Efficiency ◽  
Eastern Region ◽  
The Sustainable Development ◽  
Threshold Test ◽  
Absolute Scale ◽  
Scale Factors ◽  
The Absolute

Based on the Driver-Pressure-State-Impact-Response (DPSIR) framework, this paper constructs the input, expected output, and unexpected output of China’s sustainable development. This paper calculates the sustainable development efficiency of 31 provinces and cities in China using a super-slack-based measure (SBM) model that eliminates the influence of scale factors through a three-stage data envelope analysis (DEA) approach. Taking the level of science and technology as the control variable, and the relative scale efficiency as the threshold variable, this paper calculates the effects of the absolute scale of labor force, education, economy, enterprise, and transportation on sustainable development efficiency. The results show that: (1) there is an upward trajectory for sustainable development efficiency of China’s provinces and municipalities overall from 0.65 in 2004 to 0.68 in 2017, with significant regional differences in which the ecological efficiency in the Eastern region is 0.26 higher than that of the Central region; (2) it enhances the absolute scale of the labor force, education, and transportation, in order to reduce the inhibition on sustainable development efficiency; and (3) shifts our attention to the promotion of absolute economic scale to the promotion of green economic development, and increases control of polluting enterprises.

scholarly journals The Female Financial Inclusion and the Sustainable Development in MENA Countries

2020 ◽  
Author(s):  
WAJDI MOUSSA
Keyword(s):  
Sustainable Development ◽  
Labor Force ◽  
Stable State ◽  
Participation Rate ◽  
Jel Classification ◽  
The Sustainable Development ◽  
Mena Countries ◽  
Speed Of Adjustment ◽  
Linear Fit

Abstract In this paper we try to examine the effect of Microfinance on the sustainable development in a group of Middle East and North Africa countries (MENA). Can we consider that Microcredits are performing instrument for the sustainable development in MENA countries? To answer this question we chose a period from 1990 to 2018 and a sample of 10 MEN countries was selected. We have approximated sustainable development supported by the endogenous variable corresponds to the net adjustment of sustainable development (GS). Exogenous variables are: Active female borrowers (AFB), Labor Force female (LFF), the female to male labor force ratio, Gender parity index (GPI), GINI Index (GINI) and the GDP deflator. In the empirical analysis, we examined the linear fit of this long-term relationship within an error correction (ECM) model. We founded that 67% of sustainable development imbalance will be corrected by micro-financial institutions as the speed of adjustment brings this imbalance back to a stable state in the long term. Subsequently, we adopted the GMM method to determine the dynamics of sustainable development. Our results showed that participation rate of men in the labor force has a negligible and not significant influence on sustainable development and this can refer to their limit.JEL classification: O16; O57; C38; C33.

scholarly journals Evaluation of the Level of Sustainable Development of Provinces in China from 2012 to 2018: A Study Based on the Improved Entropy Coefficient-TOPSIS Method

2020 ◽  
Vol 12 (7) ◽  
pp. 2712
Author(s):  
Yuqing Liao ◽  
Yongchao Ma ◽  
Jingliang Chen ◽  
Ruirui Liu
Keyword(s):  
Sustainable Development ◽  
Environmental Sustainability ◽  
Central Government ◽  
Indicator System ◽  
Eastern Region ◽  
The Sustainable Development ◽  
Development Level ◽  
Order Preference ◽  
Research Findings ◽  
Topsis Technique

Based on the definition and implication of sustainable development, this paper first constructed an evaluation indicator system for the sustainable development level of provinces in China, and performed a scientific evaluation on the sustainable development level based on official statistics from 2012 to 2018 by using the improved Entropy Coefficient-TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method. The evaluation results showed that the eastern region of China has the highest level of sustainable development, with its two municipalities directly under the central government, Beijing and Shanghai, achieving the full score of 1.0000 in all evaluations, both ranking first among all the provinces. There were significant differences in the level of sustainable development across provinces in the central region, which were comparatively weaker in terms of environmental sustainability and science and technology sustainability, with four provinces’ evaluation scores below 0.5000. The provinces of the western region had comparatively lower levels of sustainable development, with six of the provinces ranking among the bottom ten in the overall sustainability score. In the northeast region, Liaoning had the highest overall sustainable development level, ranking ninth in the country, with an evaluation score of 0.7726; however, there were large differences across the region, with the other two provinces ranking 19th and 21th, respectively, in the overall sustainability score. Based on the research findings, this paper has provided relevant policy recommendations for China to further improve the sustainable development level of various provinces in the future.

scholarly journals Spatiotemporal Differences and Dynamic Evolution of PM2.5 Pollution in China

2020 ◽  
Vol 12 (13) ◽  
pp. 5349
Author(s):  
Huanhuan Xiong ◽  
Lingyu Lan ◽  
Longwu Liang ◽  
Yaobin Liu ◽  
Xiaoyu Xu
Keyword(s):  
Sustainable Development ◽  
Density Estimation ◽  
Kernel Density Estimation ◽  
Kernel Density ◽  
Absolute Difference ◽  
Dynamic Evolution ◽  
Eastern Region ◽  
Concentration Data ◽  
The Sustainable Development ◽  
Pm2.5 Concentration

Air pollution, especially the urban haze, has become an urgent issue affecting the sustainable development of cities. Based on the PM2.5 concentration data of 225 Chinese cities collected by satellite remote sensing from 1998 to 2016, we quantitatively analyzed the spatiotemporal distribution characteristics and dynamic evolution trends of PM2.5 concentration in the four regions of China, namely the East, the Central, the West and the Northeast, by using statistical classification, GIS visualization, Dagum Gini coefficient decomposition and kernel density estimation. The results are as follows: First, the PM2.5 pollution in China showed a trend of fluctuation, which appeared to be increasing first and then decreasing, with the year 2007 as an important turning point for PM2.5 pollution changes across the country, as well as in the eastern and central regions. Second, PM2.5 pollution in China had significant spatial agglomeration. The intra-regional difference within the eastern region was the largest, and the inter-regional differences were the main source of overall differences. Third, kernel density estimation showed that the absolute difference of PM2.5 concentration distribution in China was expanding, with a significant phenomenon of polarization and the characteristics of spatial imbalance. This paper aimed to provide a scientific basis and effective reference for further advancing the sustainable development strategy of China in the new era.

scholarly journals Spatial Pattern Characteristics and Influencing Factors of Green Use Efficiency of Urban Construction Land in Jilin Province

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Huisheng Yu ◽  
Ge Song ◽  
Tong Li ◽  
Yanjun Liu
Keyword(s):  
Influencing Factors ◽  
Jilin Province ◽  
Utilization Efficiency ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Construction Land ◽  
The Sustainable Development ◽  
Urban Construction ◽  
Temporal And Spatial Characteristics ◽  
The Impact

How to explore the allocation and green utilization level of urban construction land resources has an important role in the sustainable development of the city. Taking 47 counties and cities in Jilin Province as an example, this paper evaluates the green utilization efficiency of urban construction land (GUEUCL) in 2011 and 2015 by using the unexpected output super-SBM model and explores the spatial-temporal differentiation characteristics and influencing factors of GUEUCL by using GIS and machine learning methods. The results show that (1) the GUEUCL in Jilin Province is low, mainly distributed in small- and medium-sized areas, with significant positive spatial correlation. The L-L concentration area is mainly distributed in the eastern region, but the degree of spatial concentration is small, the spatial structure characteristics of the two periods are different, and the spatial heterogeneity is large; (2) the internal factor decomposition shows the impact of pure technical efficiency on the comprehensive efficiency and the restriction ability is stronger than the scale efficiency, that is to say, the factors such as management and technology have a greater impact on the comprehensive efficiency; (3) the relative importance of external factors has always been ranked as socioeconomic factors, urban development factors, and natural science and technology factors. This paper focuses on the temporal and spatial characteristics of each county and city and the influencing factors, which provides a certain value reference for the pilot of ecological construction and the development of ecoenvironmental benefit economic system in Jilin Province.

scholarly journals Developing Sustainable Urbanization Index: Case of China

2020 ◽  
Vol 12 (11) ◽  
pp. 4585 ◽  
Author(s):  
Lina Zhong ◽  
Xiaonan Li ◽  
Rob Law ◽  
Sunny Sun
Keyword(s):  
Sustainable Development ◽  
Survey Method ◽  
Eastern Region ◽  
The Sustainable Development ◽  
Urban Rural ◽  
Urbanization Development ◽  
The Difference ◽  
Urbanization In China ◽  
Population Urbanization

Urbanization in China is considered an important force for global sustainable development. In particular, China’s urbanization is of great significance to achieve the Millennium Goals of the UN. Hence, an in-depth understanding of China’s urbanization sustainable development process and model of sustainable development is urgently needed. As a result, this study examines the sustainable development of urbanization using China as an example through a survey method. Specifically, sustainable development of urbanization is examined from the following five perspectives: economic development, basic public service quality, ecological environment development, urban–rural heterogeneity, and population urbanization. Differences in the sustainable development quality of different urbanization models and regional urbanization were analyzed. Findings showed that the difference in urbanization quality between different models is not obvious, while the difference in urbanization quality between regions is more obvious. Furthermore, the quality of urbanization development in the eastern region is better than that in the central and western regions, and the level of urbanization development with high administrative levels is superior to regions with low administrative levels.

Challenges of the Crisis: How to Measure Sustainable Development?

2015 ◽  
pp. 147-160 ◽  
Author(s):  
S. Bobylev ◽  
N. Zubarevich ◽  
S. Solovyeva
Keyword(s):  
Sustainable Development ◽  
World Bank ◽  
Environmental Indicators ◽  
Calculation Methods ◽  
Basic Principles ◽  
The Sustainable Development ◽  
Development Index ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Adjusted Net Savings

The article emphasizes the fact that traditional socio-economic indicators do not reflect the challenges of sustainable development adequately, and this is particularly true for the widely-used GDP indicator. In this connection the elaboration of sustainable development indicators is needed, taking into account economic, social and environmental factors. For Russia, adaptation and use of concepts and basic principles of calculation methods for adjusted net savings index (World Bank) and human development index (UNDP) as integral indicators can be promising. The authors have developed the sustainable development index for Russia, which aggregates and allows taking into account balanced economic, social and environmental indicators.

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