Systemic indicator of sustainable development: Proposal and application of a framework

Eustachio, João Henrique Paulino Pires; Caldana, Adriana Cristina Ferreira; Liboni, Lara Bartocci; Martinelli, Dante Pinheiro

doi:10.1016/j.jclepro.2019.118383

Cited by 72 publications

(49 citation statements)

References 34 publications

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“…Since the concept of sustainable development was put forward, scholars have carried out a series of related studies, mainly including: research on the sustainable development of urban development and the carrying capacity of resources and the environment [11], sustainable development research of economic growth and social equity [12,13], sustainable development research on human development and the environmental ecosystem [14], and regional sustainable development evaluation research [15][16][17]. With the continuous deepening of scholars' research on sustainable development, research that combines related industries with regional sustainable development and explores the coupling coordination between the two has also attracted scholars' attention.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China

Shao-xiong

Yang

2020

Sustainability

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The steady and healthy development of the sports industry can promote regional sustainable development. In order to explore the coordination situation and driving factors between the sports industry and regional sustainable development, this article builds a coupling coordination evaluation index system and dynamic factor index system for the sports industry and regional sustainable development. Using the entropy method, coupling coordination model and random effect model, this article analyzes the comprehensive level, coupling coordination relationship and driving factors of the sports industry and regional sustainable development in eleven provinces and cities in eastern China, from 2013 to 2017. The results show that the comprehensive level of the sports industry and regional sustainable development in eastern China is showing a steady growth trend, and the sports industry is growing faster than regional sustainable development. The degree of coupling coordination among provinces and cities has increased significantly, but the spillover effects of coupling coordination in each region are not obvious. The level of overall coupling coordination is primary coordination; regional innovation, industrial structure upgrade, and human capital can promote the improvement of coupling coordination. Therefore, it is necessary to strengthen cross-regional cooperation, build a cross-regional “sports+” industry group, give play to the “sports +” spillover effect, create a coupling platform for the sports industry and regional sustainable development, release the superimposed effect of multiple driving factors, and facilitate the evolution of coupling coordination to higher levels.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China

Shao-xiong

Yang

2020

Sustainability

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“…Some of these analyses are based on spatial distribution through maps of the sustainability of a region. In this regard, Hély and Antoni [25] developed a grid analysis map of the Besançon region (France) from which the strengths and weaknesses of the territory can be identified in terms of sustainability. In another similar study, Palmisano et al [26] analysed the spatial distribution of a set of rural sustainability indicators to establish a common Rural Sustainable Development strategy to allocate the European Agricultural Fund for Rural Development Budget.…”

Section: Data Analysis Of Sustainability Indicatorsmentioning

confidence: 99%

Challenge for Planning by Using Cluster Methodology: The Case Study of the Algarve Region

et al. 2020

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This study analyses the most appropriate methodology to make similarity classifications among the cities of the Algarve (Portugal) according to 105 sustainability indicators monitored with the Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE). The methodology used to establish the similarities was the cluster analysis with 4 different approaches which reduced the dimensions of the data set: total approach, pillar approach, subject area approach, and indicator approach. By combining the approaches, a total of 620 different cluster analyses were performed. The results reflected that the data analysis approaches with less dimensions were those that performed the best groups among cities. In this sense, the approaches with a high number of indicators (e.g., the total or the pillar approach) were characterised by misclassifying cities in more than 30% of the indicators. Thus, the most acceptable cluster analysis approach was that with a low number of indicators. Through this approach, it was possible to make correct groups of the sustainability level of the cities of the Algarve. These results provided an appropriate methodology for the decision-making regarding the sustainability of a region and could be extrapolated to other regions to assess sustainability or environmental indicators.

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“…According to the theory of sustainable development and the limitations of China's traditional development model, the meaning of "sustainable development" in this paper included: (1) the foundation of sustainable development is to meet the requirements of resources and environment, and the development needs of future generations; (2) the premise of sustainable development is to continuously improve the quality and structure of production factors, and improve the efficiency and technical level of factor use; (3) the core of sustainable development is the improvement of development quality, with appropriately allocating and utilizing the factor inputs to achieve high-speed economic growth, rapid technological progress, continuous improvement of people's lives, and harmonious social development [39][40][41].…”

Section: The Indicator Systemmentioning

confidence: 99%

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

Liao

Chen

et al. 2020

Sustainability

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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.

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Systemic indicator of sustainable development: Proposal and application of a framework

Cited by 72 publications

References 34 publications

Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China

Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China

Challenge for Planning by Using Cluster Methodology: The Case Study of the Algarve Region

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

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