The application of subjective and objective method in the evaluation of healthy cities: A case study in Central China

Li, Ran; Tan, Xiaodong; Xu, Yi; Zhang, Kaiyu; Chen, Xuyu; Zhang, Yuting; Li, Mengying; Zhang, Yupeng

doi:10.1016/j.scs.2020.102581

Cited by 34 publications

(12 citation statements)

References 20 publications

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“…To address the limitations of previous studies, this study proposes a hybrid method that consists of max-min normalization, FA&RT, PRA, the FSM, and the DEMATEL. Initially, secondary data normalization enables the transformation of different units into unit-free numbers with a consideration of their positive and negative features for further analysis (Ran et al, 2021). This method is widely applied to integrate different data types for a comprehensive discussion (Wang et al, 2022).…”

Section: Proposed Methodsmentioning

confidence: 99%

“…These uncertainties are derived from a need to consider the different types of data under these goals that are not able to be addressed by adopting a single method (Tsai et al, 2020;Tseng et al, 2022). Employing a single method for making decisions may cause incoherence between resource investment and performance due to the constraints on human ability, methodological limitations, and overinterpretations (Regehr et al, 2022;Sotoudeh-Anvari, 2022;Zhang et al, 2022). Several studies have also discovered the complex interrelationships among these goals, which increase the uncertainties for decision/policy makers (Biglari et al, 2022;Bleischwitz et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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The coherence between resource investment and performance for sustainable development goals in Taiwan cities: A hybrid influence analysis

Chan

et al. 2023

Sustainable Development

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This study contributes to visualizing the complicated interrelationships among the sustainable development goals (SDGs) in Taiwanese cities' resource investment and performance under uncertainties. Taiwan faces bottlenecks and uncertainties in pursuing the SDGs due to the complex interrelationships among the SDGs. In particular, the lack of a comprehensive approach causes problems for governments in identifying whether resource investment and performance reach a coherent situation. To address this issue, this study proposes to use secondary data normalization, factor analysis and reliability testing for the validity and reliability of measures, performance‐resource analysis and the fuzzy synthetic method to translate qualitative information, as well as the decision‐making trial and evaluation laboratory to visualize the relationships. The study (1) establishes validation measures for resource investment and performance; (2) combines qualitative information and secondary data to understand the causal effects of the SDGs; and (3) provides directions for the government to improve the coherence of resource investment and performance. The findings show that SDG 3 has a strong effect on SDGs 11 and 9 and a moderate effect on SDG 8 to achieve the agenda. Guidelines are provided for resource‐poor counties/regions that could invest resources to achieve SDG 3. Many cities and counties are underperforming.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The coherence between resource investment and performance for sustainable development goals in Taiwan cities: A hybrid influence analysis

Chan

et al. 2023

Sustainable Development

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“…The degree of dispersion and the importance of analysis of each evaluation index can be judged by the entropy value and the weight of the index [51,52]. Generally, the smaller the entropy value, the greater the variation degree of the index value, the greater the weight coefficient, the more information provided, the greater the role played in the comprehensive evaluation, and vice versa [52,53]. The rationality of the index weight coefficient directly affects the reliability of the comprehensive evaluation result and even the correctness of the decision.…”

Section: Entropy Value Methodsmentioning

confidence: 99%

Coordination of agricultural informatization and agricultural economy development: A panel data analysis from Shandong Province, China

Sun

Zhao

2022

PLoS ONE

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With the continuous development of the world economy, science, and technology, the era of intelligence and information is upon us. Through the implementation of the digital rural construction project in China, agriculture is developing rapidly in the direction of informatization. As a major agricultural province in China, Shandong Province has been ranked first in China for many years in terms of gross agricultural product and the import and export of agricultural products. According to the current situation of agricultural informatization in Shandong Province, this study uses relevant evaluation index data of Shandong Province from 2011 to 2019 and applies the entropy value method, coupling degree analysis model, and coupling coordination degree analysis model to deeply evaluate the mutual influence and coordination degree between the agricultural informatization level and agricultural economic development in Shandong province in each year. We identify the possible problems in the development of agricultural informatization in Shandong province. Finally, in terms of talent construction, infrastructure construction, the main role of government, policies, and farmers’ awareness of informatization, we propose some countermeasures and suggestions that are conducive to the coordinated development of agricultural informatization and the agricultural economy.

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“…Whether the weight is reasonable and correct will directly affect the reliability of the final evaluation result. Most current methods only consider subjective evaluation (such as analytic hierarchy process [25]) or objective evaluation (such as entropy weight method [26], projection pursuit method [27], etc.). In order to reflect the information contained in the data of the evaluation index and also consider the subjectivity of the experts, this study chooses the algorithm combining an entropy weight method and an analytic hierarchy process to make up for their shortcomings.…”

Section: Determination Of Weightmentioning

confidence: 99%

A Case Study of Grassroots Water Conservancy Services Evaluation and Obstacle Factors Diagnosis Based on Gray Correlation-TOPSIS Model in Hunan Province, China

Zhang¹,

Tang

Deng

et al. 2022

IJERPH

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Based on the evaluation model of the gray correlation-TOPSIS method, this paper examines the index system of grass-roots water conservancy services in Hunan Province, China. This paper aims at the present situation of grassroots water conservancy in Hunan province, which assisted it in developing grassroots water conservancy services. The evaluation indicators include five criteria levels (institutional staffing, personnel quality, management level, public policy and service capacity) and twenty-four indicator levels. In this paper, the weight calculation method combined with an analytic hierarchy process and an entropy weight method, as well as quantitative and qualitative methods, was used to conduct an empirical study on the basic water conservancy service level of Hunan Province in 2020. The results classify grassroots water services in Hunan Province into three levels. By fitting the GDP of cities and prefectures with the comprehensive closeness, we conclude that there is considerable convergence between the grassroots water conservancy service level of Hunan Province and its local economic level. The more developed the economy, the higher the grassroots water conservancy service level. In addition, through obstacle factor analysis, the main constraints of grassroots water conservancy in various cities and prefectures are obtained. Therefore, the grassroots water conservancy service’s ability can be comprehensively improved from three aspects: serviceability, capital investment, and talent construction. This indicator system can promote the overall governance capacity of grassroots water conservancy in the future development of cities and prefectures, and it can also provide Hunan with experience and case examples for the implementation of rural revitalization.

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The application of subjective and objective method in the evaluation of healthy cities: A case study in Central China

Cited by 34 publications

References 20 publications

The coherence between resource investment and performance for sustainable development goals in Taiwan cities: A hybrid influence analysis

The coherence between resource investment and performance for sustainable development goals in Taiwan cities: A hybrid influence analysis

Coordination of agricultural informatization and agricultural economy development: A panel data analysis from Shandong Province, China

A Case Study of Grassroots Water Conservancy Services Evaluation and Obstacle Factors Diagnosis Based on Gray Correlation-TOPSIS Model in Hunan Province, China

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