Evaluation Index System Of Sustainable Development Research Articles

The green development in China through the lens of complex cybernetics: Insight for a new era

Measuring the level of green development is far from being a well-assessed problem, due to both the broad meaning of green development and the presence of randomness in environmental changes. In this paper, we develop the sustainable development evaluation index system from different perspectives, including resource utilization, green development management, green development quality, environmental protection, growth quality and green lifestyle. This evaluation index system is further viewed as a cybernetic system. Following a rough set approach, we properly address the issue of uncertainty and develop a robust estimation methodology. Neighborhood rough set and rough set methods based on genetic algorithms (GAs) have been used to identify the key indicators within the system. First, the results illustrate how a cybernetic approach deals with green policy and economic growth. Second, such a cybernetic approach provides new insights into identifying the main attributes for a sustainable development. Finally, stategies of improving green development in different parts of China are provided, concluding this paper.

Construction of the Evaluation Index System for the Sustainable Development of Primary School Campus Football in Shaanxi Province, China

Background and Aim: This study expounds the theoretical framework for constructing the evaluation index system for the sustainable development of elementary school football in Shaanxi Province, including the final evaluation index system and evaluation methods. The main objective of this research was to develop the evaluation index system for football in elementary schools in China’s Shaanxi province. Materials and Methods: The populations of this research include educational experts, physical education experts, teachers or university teachers, experts in the direction of football, campus football managers, and football coaches. Consult 5 experts through questionnaires and then using the Delphi method, the expert questionnaires were distributed to 19 experts, and two rounds of questionnaires were distributed and collected to screen out the core indicators and then determine the index weight of the sustainable development evaluation system of primary school football in Shaanxi Province, finally use the fuzzy comprehensive evaluation method to evaluate the sustainable development ability of Xi'an primary school football. Result: (1) Construct the sustainable development evaluation index system for primary school football in Shaanxi Province, including 4 first-level indicators, 13 second-level indicators, and 48 third-level indicators. (2) The first-level indicator, "organizational leadership and policy" is higher than the other three indicators, accounting for 31%. The second-level indicators, the weight of the four indicators of "implementation of national policies", "improvement of rules and regulations", "physical education hours", and "campus football culture" all exceed 10%, and there should be more support and supervision in the development process. Among the third-level indicators, the weight of the two indicators of "after-school training and competition rules and regulations" and "the number of football-themed campus cultural activities" exceeds 5%. The weight of the six indicators of "Rules and Regulations", "Number of Weeks", "Length of a Single Class", and "Extracurricular Activities" exceeds 3.5%. Conclusion: The research findings were: (1) There are 65 indicators of first-level, second-level, and third-level sustainable development of primary school campus football in Shaanxi Province, China. (2) Determine the weight ratio of indicators at all levels. (3) Through empirical research, the level of sustainable development ability of campus football in primary schools in Xi'an is obtained.

Application of Financial Cloud in the Sustainable Development of Smart Cities

This article first investigates the status of financial cloud development in smart cities and studies the sustainable development of smart cities. Secondly, it investigates the construction of the evaluation model, using the power of the financial cloud, through exploratory factor analysis, selecting the principal component analysis method to extract the factors, for screening and dimensionality reduction of the indicators, and making hypotheses. We used confirmatory factor analysis to establish the structural equation. The measurement model analyzes and validates the assumptions of the previous stage and finally determines the sustainable development evaluation index system. Then, starting from the scoring coefficient matrix of the exploratory factor analysis of the final model, the variance contribution rate of each common factor is weighted to construct a comprehensive evaluation model to calculate the comprehensive evaluation score. For the comprehensive evaluation score of the sustainable development level of the smart city, SPSS software performs cluster analysis, performs regional clustering, and determines the level of urban development. Finally, by comparing the sustainable development levels of smart cities, the related causes of the gaps are analyzed. Key factors affecting the sustainable development of smart cities are identified, and corresponding countermeasures are proposed.

Evaluation of Island Tourism Sustainable Development in the Context of Smart Tourism

Xu, C.; Li, X., and Wu, X., 2020. Evaluation of island tourism sustainable development in the context of smart tourism. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1098–1101. Coconut Creek (Florida), ISSN 0749-0208.The problem of sustainable island development has complex and diverse characteristics. So far, no universally recognized and applicable island sustainable development evaluation index system has been formed. To this end, an assessment model for island tourism sustainable development in the context of smart tourism is proposed. The level of island tourism sustainable development, its development orientation and restricting factors were analyzed using entropy weight method and non-structural decision fuzzy set theory model. Finally, using the island sustainable development evaluation index as a sample, the quantitative research on the island's sustainable development status from 2012 to 2019 was carried out, and the key factors affecting the island's sustainable development capacity, the existing problems and their limiting factors were obtained.

Multi-Scale Evaluation of Suzhou City’s Sustainable Development Level Based on the Sustainable Development Goals Framework

A sustainable development system involves resource limitation, environmental stress and policy regulation, and the flow and integration of resources and factors on a multi-level spatial scale. However, it is difficult to meet the actual needs of local development through traditional single-scale and macro-scale evaluation of the comprehensive level. Taking Suzhou City as an example, based on the United Nations (UN) sustainable development goals (SDGs) framework, the entropy method and fuzzy comprehensive evaluation (FCE) were used to construct an evaluation index system of the municipal sustainable development level. Growth and obstacles of the sustainable development system and its subsystems were systematically analyzed on a multi-level spatial scale. Results show that during the study period (2000-2016), the sustainable development system in Suzhou was relatively low at the beginning of the study. With the passage of time, it generally developed in a stable, continuous, and balanced direction. The levels of development, deficiencies, and obstacle factors of sustainable development systems and their subsystems are significantly different between levels; especially during the study period, the order change between towns is significantly higher than the order change between districts. Within an evaluation unit, there is a process of rising and continuing growth among certain subsystems, but some subsystems have been developing slowly due to resource constraints, environmental load, etc., or their contribution to the level of sustainable development has remained low. The city sustainable development evaluation index system based on the SDGs framework can meet the requirements of regional assessment and has the potential for further promotion and use. The evaluation results can provide a necessary reference for the subsystem coordination, scale linkage, and resource space allocation of the sustainable development system in Suzhou.

Spatio-Temporal Dynamic Analysis of Sustainable Development in China Based on the Footprint Family.

The existing index systems on sustainable evaluation are mostly based on a multi index comprehensive evaluation method. The main disadvantage of this approach is that the selection and assignment of evaluation indexes are greatly influenced by subjective factors, which can result in poor comparability of results. By contrast, the Footprint Family (including ecological footprint, carbon footprint, and water footprint) is not affected by subjective factors. The Footprint Family also covers the basic tenets of sustainable development. This paper proposes use of a sustainable development evaluation index system based on the principle of the Footprint Family, and including the ecological pressure index (EPI), the ecological occupancy index (EOI), the ecological economic coordination index (EECI), the GHG (Greenhouse Gas) emission index (CEI), the water resources stress index (WSI), and the sustainable development index (SDI). Furthermore, a standard for grading the evaluated results based on global benchmarks is formulated. The results of an empirical study in China were the following. The development situation deteriorated from 1990 to 2015. The results showed that the SDI decreased from a medium level (grade 5) to a lower-medium level (grade 4). The results of this empirical study also showed that the method of evaluation can avoid the influence of subjective factors and can be used in the evaluation of sustainable development for various temporal and spatial conditions.

基于BP神经网络的京津冀城市群可持续发展综合评价

PDF HTML阅读 XML下载 导出引用 引用提醒 基于BP神经网络的京津冀城市群可持续发展综合评价 DOI: 10.5846/stxb201802050302 作者: 作者单位: 中国科学院大学资源与环境学院,中国科学院地理科学与资源研究所 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金重大项目（41590842）；国家自然科学基金重点项目（71433008） Assessment of the sustainable development of the Beijing-Tianjin-Hebei urban agglomeration based on a back propagation neural network Author: Affiliation: University of Chinese Academy of Sciences College of Resources and Environment,Institute of Geographic Sciences and Natural Resources Research, CAS Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:在综合分析了京津冀城市群各城市功能定位的基础上，构建了包含经济发展、社会发展、科技创新和生态环境4个子系统的城市可持续发展评价指标体系，运用2006-2015年的数据，采用熵值法和BP神经网络对京津冀城市群可持续发展能力进行非线性测度与分类，结果较为理想。结果表明：（1）北京和天津处于高可持续发展水平，可持续发展能力在空间上呈现出以京、津为中心随距离递减的趋势，最南端的邯郸和邢台处于低可持续发展水平；（2）北京可持续发展能力呈现下滑趋势，其他城市可持续发展能力逐年稳步上升，大城市可持续发展压力较大；（3）城市在不同子系统中存在各自的优劣势。各个子系统在可持续发展中均起到重要作用，城市宜结合各自子系统的优、劣势制定具有针对性的发展对策。 Abstract:Based on a comprehensive analysis of the functional orientation of each city in the Beijing-Tianjin-Hebei urban agglomeration, an urban sustainable development evaluation index system was constructed with four subsystems, including economic development, social development, scientific and technological innovation, and the ecological environment. The entropy method and a back propagation neural network were used to non-linearly measure and classify the sustainable development ability of Beijing-Tianjin-Hebei urban agglomeration during 2006-2015. The results show that: (1) Beijing and Tianjin are at a high level of sustainable development, and sustainable development decreases with increasing distance from Beijing and Tianjin. Handan and Xingtai are at a low level of sustainable development. (2) Beijing's level of sustainable development exhibits a decreasing trend, while that of other cities is increasing. Large cities are associated with greater pressure on sustainable development. (3) Different cities have their own advantages and disadvantages in the different subsystems. Cities should develop targeted development strategies in combination with the advantages and disadvantages of their subsystems. 参考文献 相似文献 引证文献

The Sustainable Development Research of Wild Plant Tourism Resources Based on the Entropy-AHP Evaluation Method

In this study, the sustainable development evaluation index system of the wild plant resources in the GuangXi province is established based on the principles of scientific nature and operability, etc. Based on this evaluation index system and statistical data of GuangXi province from 2003 to 2011, comprehensive evaluation and analysis of the sustainable development condition of wild plant resources was carried out using the Entropy-AHP evaluation model and index weighting model. The results show that the sustainable development level has a steady upward trend, but the overall level is not high. The composite index of wildlife and habitat protection shows a rising trend while the comprehensive index change of economic resources is relatively stable. The comprehensive index of social development initially rises and then falls. Finally, some countermeasures have been put forward based on the results of this study, which has provided a theoretical basis for promoting the sustainable development of the wild plant resources in GuangXi and the country.

Research on the Sustainable Development Evaluation of Ecological Economy Based on AHP

The world is facing serious ecological and economic crisis, so sustainable development of ecological economy has been the focus of attention and study. Using a combination of qualitative and quantitative methods, this paper constructs sustainable development evaluation index system of ecological economy and explores the influence degree of each index on the sustainable development of ecological economy in order to provide an effective basis for government decision-making.

The Establishment of Sustainable Development Evaluation Index System of Resource-Based Cities

On the one hand, resource-based cities have played a great role to the economic growth of our country. On the other hand, they have also caused great destruction to China's economic development. The sustainable development evaluation of resource-based cities is a new topic, and its theory and method system remain to be discussed. Taking Pingdingshan City , Henan Province as an example, this paper discusses the evaluation method of sustainable development of resource-based cities. Combining the methods of scientific and practical, typical and comparable, dynamic and operable, comprehensive and hierarchical, taking AHP comprehensive evaluation as the foundation, from resource support ability, environment support ability, social support ability, and economic support ability, this evaluation method choose 47 index to evaluate the sustainable development of resource-based cities. The comprehensive evaluation index system of this paper strives to comprehensive reflect the process of sustainable development of resource-based cities, and hopes to provide some reference for policy making for the sustainable development of resource-based cities.

Sustainable Development Evaluation Model in Mining Areas Based on Coal Full Cost

Abstract Based on the system of coal full cost, the target layer, criterion layer, index layer of the sustainable development evaluation index system are respectively planned to establish the sustainable evaluation index model, this model is based on coal full cost in the mining area. Taking the mining area as an example, sustainable development evaluation in the mining area is experimented and analyzed. It is clearly proved that the implementation of coal full cost promotes the sustainable development in the mining area; it is important practical for the sustainable development in the mining area. The proposed evaluation model is effective.