Water Resource Scarcity and Social Adaptive Capacity for Regional Sustainable Development - A Case Study of Beijing and Tianjin

2014 ◽  
Vol 675-677 ◽  
pp. 1743-1749
Author(s):  
Hong Lei Zhang ◽  
Xue Hua Zhang ◽  
Hong Wei Zhang ◽  
Xu Zhang
Keyword(s):  
Sustainable Development ◽  
Adaptive Capacity ◽  
Water Resource ◽  
Evaluation Method ◽  
Strong Support ◽  
Resource Scarcity ◽  
Key Factors ◽  
Regional Sustainable Development ◽  
Supply Capacity ◽  
Adaptive Ability

The adaptive capacity to water resource scarcity is closely connected to social and economic issues and it is one of the key factors of the regional sustainable development. Accurate evaluation of the adaptive capacity is an important factor to understand the development potential of a region. Through introducing the concept of social adaptive ability, this paper combines social adaptive ability with the dynamic evaluation of water resource scarcity and sustainable supply capacity as a new evaluation method. The data from two provincial-level municipalities of China (Beijing and Tianjin) are selected as a case to evaluate regional sustainable development. The results show that social adaptive ability can increase water supply capacity and provide strong support for regional sustainable development.

scholarly journals Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

2018 ◽  
Vol 10 (11) ◽  
pp. 3897 ◽  
Author(s):  
Zhijiang Li ◽  
Decai Tang ◽  
Mang Han ◽  
Brandon Bethel
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Input Output ◽  
Slow Development ◽  
Regional Sustainable Development ◽  
Spatio Temporal

In the light of the shortcomings of the analytic hierarchy process and other common regional sustainable development evaluation methods, this paper proposes the use of a combination of subjective and objective weights to generate input/output indicators using the Data Envelopment Analysis (DEA) method. Using this methodology, we construct a comprehensive evaluation index which is useful in expanding the application of Data Envelopment Analysis (DEA) in the comprehensive evaluation of sustainable development. Moreover, this paper addresses the shortfalls of the traditional DEA evaluation model and uses the Super-Slack Based Measure (SBM)-Undesirable and DEA-Malmquist evaluation models, which are based on traditional DEA model optimization, to analyze the spatio-temporal characteristics of sustainable development on regional scales. Using China’s Yangzte River Economic Belt as an example, an empirical analysis is carried out. We show that analysis results are virtually identical to the extant situation and can objectively reflect the status and abilities of sustainable development in each subregion. Additionally, from the angles of input, output and technological progress, this paper uses the DEA evaluation method to analyze the reasons behind the slow development in several provinces and municipalities along the Yangzte River Economic Belt (YERB). The regional characteristics of each province and city within our study are combined to explore the optimal mechanisms for sustainable development.

scholarly journals Spatial–temporal calculation simulation of ecological footprint of resource and environmental pollution in green communication

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Roulin Chen ◽  
Duanmin Zhang ◽  
Bo Li
Keyword(s):  
Sustainable Development ◽  
Ecological Footprint ◽  
Evaluation Method ◽  
Indicator System ◽  
Resource Consumption ◽  
Experimental Result ◽  
Ecological Environment ◽  
Green Communication ◽  
Development Indicator ◽  
Regional Sustainable Development

AbstractAs a quantitative evaluation method, the ecological footprint analysis (EFA) method is a frontier topic in the field of sustainable development. Human production activities will inevitably produce certain consumption, including the occupation of natural resources, resource consumption and waste production, which will have a certain impact on the ecological environment. This paper proposes to use the ecological footprint to inversely analyze the ecological environment and resource consumption, quantitatively convert the material consumption produced by human activities into the area of biological production land and compare it with the supply area of the study area. The EFA is used to reflect the changes in the indicators of regional sustainable development, and the regional sustainable development indicator system and analysis framework based on the ecosystem are constructed. The experimental result shows that the proposed model can effectively divide the resource space and at the same time can measure the degree of resource transfer, which has important guidance for revealing the internal relationship between regional ecological footprint characteristics and regional development and evolution significance.

scholarly journals A Regional Sustainable Intensive Land Use Evaluation Based on Ecological Constraints: A Case Study in Jinan City

2019 ◽  
Vol 11 (5) ◽  
pp. 1434 ◽  
Author(s):  
Qian Qian ◽  
Haiyan Liu ◽  
Xinqi Zheng
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Evaluation Method ◽  
Reference Value ◽  
Sustainable Intensification ◽  
Social Progress ◽  
Ecological Constraints ◽  
Variable Model ◽  
Regional Sustainable Development ◽  
Intensive Land Use

Intensive development is a sign of human social progress, and moderate intensification is a continuously pursued goal. However, how to conduct a moderately intensive land use evaluation remains a challenge. To solve this problem, this research proposes the concept of sustainable intensification variable and develops a sustainable intensification variable model to determine the appropriate interval of regional intensive land use and evaluate the intensification of land use. The evaluation method of the sustainable intensification variable model is based on the principle and method of the intensification variable, and the regional sustainable development evaluation factors in the model are revised based on rational land use and ecological constraints. To verify the rationality of the model and systematically evaluate the intensification of land use in the city of Jinan, this method was tested using land use data and social economic data on Jinan from 2001, 2011, and 2015. The results show that the model has a high accuracy in judging the moderately intensive interval of regional land use and evaluating intensive land use, and has important reference value for regional sustainable development decision-making.

scholarly journals An Integrated Indicator System and Evaluation Model for Regional Sustainable Development

2019 ◽  
Vol 11 (7) ◽  
pp. 2183 ◽  
Author(s):  
Shi ◽  
Ge ◽  
Yuan ◽  
Wang ◽  
Kellett ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Indicator System ◽  
Advantages And Disadvantages ◽  
Regional Sustainable Development ◽  
Development Levels

Regional sustainable development has become a worldwide issue in recent years, but there is no single and universally agreed method of choosing indicators for sustainable development assessment. The subjective selection of indicators will affect the results of assessment. Each evaluation method has its own advantages and disadvantages, and the methods used to determine indicator weight also differ. Regional sustainable development is a complex system, which is difficult to evaluate objectively and scientifically using a single method. Therefore, a new integrated indicator system and evaluation model is constructed here to more accurately reflect regional sustainable development level. The indicator system and evaluation model were constructed using a case study of 17 cities in Shandong Province, China. The indicator system includes 4 subsystems, i.e., economy, society, resource, and environment. These indicators were selected through correlation analysis and discrimination analysis. A back propagation neural network was applied to evaluate the respective scores of the 4 subsystems. The comprehensive score for regional sustainable development was evaluated using the analytic hierarchy process with entropy correction. The results show that sustainable development levels in these 17 cities show a gradually decreasing trend from east to west and from coast to inland. Cities with an underdeveloped economy usually display poor levels of social development and serious environmental pollution. Through the improvement of indicator screening, evaluation model, and result correction, the error caused by a single evaluation method can be reduced significantly. This new methodology for indicator selection and comprehensive evaluation provides a new perspective for the assessment of regional sustainable development.

scholarly journals Evaluation of Spatial Balance of China’s Regional Development

2018 ◽  
Vol 10 (9) ◽  
pp. 3314 ◽  
Author(s):  
Hongyan Shen ◽  
Fei Teng ◽  
Jinping Song
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Regional Development ◽  
Index System ◽  
Common Phenomenon ◽  
Negative Effects ◽  
Rapid Urbanization ◽  
Regional Sustainable Development ◽  
The Government ◽  
Supply Capacity

China’s substantial economic growth and rapid urbanization has brought about some negative effects, one of which is spatial imbalance. Spatial imbalance has attracted considerable attention from both the government and researchers, since it has severely hindered regional sustainable development. This study, from the perspective of the matching relationship between spatial supply capacity and development demand intensity, evaluates the spatial balance of 290 prefecture-level cities in China by establishing an index system that considers the economy, society, resources, and the environment. The findings of this study have demonstrated that the strategies and measures of China in the last few years have brought about a spatial imbalance in regional development while rapidly boosting economic growth. The results reveal that there is not a corresponding relationship between spatial supply capacity and development demand intensity in China’s regional development, indicating that most cities in China are in an imbalanced state regarding regional development. Only a few cities have reached spatial balance, while overexploitation is a common phenomenon. This study displays an overall perspective on the state of spatial balance in China, providing a sound basis for implementing pertinent governance measures in different regions.

scholarly journals Exploring the Influences of Innovation Climate and Resource Endowments through Two Types of University–Industry Collaborative Activities on Regional Sustainable Development

2021 ◽  
Vol 13 (14) ◽  
pp. 7559
Author(s):  
Shu Yu ◽  
Shuangshuang Zhang ◽  
Takaya Yuizono
Keyword(s):  
Sustainable Development ◽  
Human Capital ◽  
Economic Development ◽  
Equation Modeling ◽  
Innovation Activities ◽  
Industry Collaboration ◽  
Regional Sustainable Development ◽  
Resource Endowments ◽  
Innovation Climate ◽  
University Industry

“Innovation driven” is the proper term for promoting regional sustainable development under the general goal of national high-quality development. University–industry collaboration (UIC) has become an important innovation resource for regional sustainable development. The study aims to analyze the influencing factors and mediating mechanisms of university–industry collaboration scientific and technological (S&T) and business activities oriented for regional sustainable development in 30 provinces in China (excluding Tibet). Specifically, we used the partial least squares (PLS) structural equation modeling method to test the effects of innovation climate and resource endowments on regional sustainable development through two mode pathways of university–industry collaboration activities. The results show that the innovation climate and resource endowments significantly affect UIC in scientific and technological innovation activities, and then affect the regional economic development and human capital. UIC S&T innovation activities play positive mediating roles in promoting regional sustainable development. In addition, the innovation climate does not significantly impact the business activities of UIC. Therefore, region can get a greater sustainable development through UIC S&T innovation activities than business activities. Much more UIC S&T activities can improve the economic development, human capital, and environmental conditions in the region.

scholarly journals Sustainability of Regional Agroecological Economic System Based on Emergy Theory: A Case Study of Anhui Province, China

2021 ◽  
Vol 13 (15) ◽  
pp. 8317
Author(s):  
Xue Wu ◽  
Yaliu Yang ◽  
Conghu Liu ◽  
Guowei Xu ◽  
Yuxia Guo ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Economic System ◽  
Agricultural Development ◽  
Evaluation Method ◽  
Measurement Model ◽  
Economic Benefits ◽  
Anhui Province ◽  
Human Beings ◽  
Emergy Theory ◽  
Operation Status

The agroecological economic system is the basic system on which human beings depend for survival. In order to better evaluate the operation status of a regional agroecological economic system and deepen the cognition of the input and output of the regional agroecological economic system from the angle of emergy, the evaluation method of sustainable development of the regional agroecological economic system with comprehensive consideration of resources, economy, and environment was proposed by constructing a unified dimensional measurement model. This paper analyzed and evaluated the data of the agroecological economic system in Anhui Province from 2010 to 2019. The results showed that the agroecological economic system in Anhui Province bore less environmental pressure and gradually decreased, and had a good system efficiency and economic benefits. The average emergy sustainability index (ESI) was 3.12, indicating that the agroecological economic system in Anhui Province had certain vitality of sustainable development. Based on this, the paper puts forward some suggestions on sustainable and high-quality agricultural development in Anhui Province, which provides theoretical and methodical support for sustainable development of a regional agricultural economy.

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