Investigation on spatial and temporal variation of coupling coordination between socioeconomic and ecological environment: A case study of the Loess Plateau, China

Xiao, Yi; Wang, Rui; Wang, Fan; Huang, Huan; Wang, Jue

doi:10.1016/j.ecolind.2022.108667

Cited by 68 publications

(21 citation statements)

References 81 publications

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“…Thus, the advantage of this method is that it gives the appropriate weights to the associated indicators to make the difference among the performance values of alternatives as large as possible with a higher variance [26]. To date, the method has been used in economic and social evaluation studies [26,27].…”

Section: Introduction Of the Deviation Maximization Methodsmentioning

confidence: 99%

A Comparison of the International Competitiveness of Forest Products in Top Exporting Countries Using the Deviation Maximization Method with Increasing Uncertainty in Trading

Jiang

Dai

2023

Forests

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Increased uncertainty in the trade environment has become a reality. However, so far, there is no well-established indicator system to quantify the international competitiveness of forest products in the context of increased uncertainty in the trade environment. Based on expanding the concept of international competitiveness, we constructed an evaluation indicator system of international competitiveness including market performance and competitive advantage, which highlighted market stability and market sustainability indicators. We obtained a comprehensive international competitiveness index of the forest products by Deviation Maximization Method. This study aims to compare and evaluate the international competitiveness of forest products in the top 10 exporting countries using a comprehensive international competitiveness index. The results showed that it is more accurate and comprehensive to use the comprehensive international competitiveness index to evaluate the international competitiveness of forest products, compared to using only a single index. Additionally, the changes to the composite index of international competitiveness went hand-in-hand with the uncertainties the observed countries face, indicating that the indicator system is applicable to the measurement of international competitiveness in an uncertain environment. Large differences exist in the level of international competitiveness of forest products among observed countries. German paper products and wood chips, Chinese wood furniture, wood-based panels and wood products, U.S. logs and wood pulp, and Canadian sawn wood were the most competitive. On the whole, China, Germany and Italy have the highest level of overall international competitiveness in forest products, with Brazil and Poland showing the most significant increases.

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Section: Introduction Of the Deviation Maximization Methodsmentioning

confidence: 99%

A Comparison of the International Competitiveness of Forest Products in Top Exporting Countries Using the Deviation Maximization Method with Increasing Uncertainty in Trading

Jiang

Dai

2023

Forests

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“…The overall level of the development of urban-rural integration in the central cities of the Yangtze River Delta is low. In the study period, the average level of the development of urban-rural integration in the Yangtze River Delta basically remained around 0.262, and with reference to the classification criteria of related studies [28], the average level of the development of urban-rural integration in the Yangtze River Delta was only at the moderate disorder level, and the level of the development of urban-rural integration in the Yangtze River Delta experienced the evolution process from severe disorder-moderate disorder-light disorder during the period between 2003 and 2020. In 2003, only three cities, Nanjing, Wuxi and Suzhou, were in moderate disorder and Shanghai was in mild disorder, while the rest of the cities were in severe disorder, with the proportion of severe disorder reaching 85.2%.…”

Section: Chronological Evolutionary Characteristics Of Integrated Urb...mentioning

confidence: 95%

Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Zhao

Jiang

2022

Land

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Urban-rural integration has been found to be an inevitable trend in the development of urban-rural relations and a vital measure to tackle the unbalanced and uncoordinated development between urban and rural areas. Most existing studies on the development of urban-rural integration have only estimated its level and factors and compared the heterogeneity of cities in sample regions. Few studies have focused on the interactions between different categories of urban-rural integration levels. Accordingly, to fill the above research gap, an evaluation index system of the development of urban-rural integration is built in this study from four economic-social-spatial-ecological dimensions, the spatial and temporal evolution characteristics of the development of urban-rural integration in 27 central cities in the Yangtze River Delta region between 2003 and 2020 are analyzed, and the intrinsic dynamic shock effects are empirically investigated using a panel vector autoregression (PVAR) model. This study suggests the following points: (1) the development of urban-rural integration in the Yangtze River Delta region tends to increase while fluctuating and experiences an evolutionary process of “severe dysfunction–moderate dysfunction–mild dysfunction”, with an overall positive development trend. (2) In the study period, the agglomeration effect of the level of the development of urban-rural integration in the Yangtze River Delta has been strengthened continuously, and the overall spatial distribution pattern has changed from “low level, low gap” to “high level, high gap”, showing the characteristics of decreasing class distribution step by step, with Shanghai and Anqing as the markers from east to west. (3) All the endogenous variables of the development of urban-rural integration show a continuous positive response to their own shocks, thus suggesting that the respective variable has a certain path dependence on itself. Shocks of urban-rural ecological integration are capable of boosting the improvement of urban-rural economic integration and urban-rural social integration development, and shocks of urban-rural social integration contribute to the improvement of urban-rural ecological integration. The important policy implication of this study is that an intra-regional linkage and coordination mechanism should be built in the future, while the focus should be placed on the heterogeneity of regional development, and policies and measures regarding development of urban-rural integration in a disaggregated manner should be developed, so as to facilitate the improvement of the level of regional development of urban-rural integration.

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“…Simultaneously, some scholars established an evaluation index system for the city and used a comprehensive evaluation model to evaluate each subsystem thoroughly. The coordination degree model investigates the mechanisms that exist between various subsystems 45 , 46 . Furthermore, a significant number of researchers use spatial econometric models to investigate the factors influencing urban low-carbon levels and the degree of spatial aggregation 47 , 48 .…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the impact mechanism of low-carbon multivariate coupling system in Chinese typical cities based on machine learning

Yang

Chen

Huang

et al. 2023

Sci Rep

Self Cite

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Low-carbon city construction is one of the key issues that must be addressed for China to achieve high-quality economic development and meet the Sustainable Development Goals. This study creates a comprehensive evaluation index system of low-carbon city multivariate system based on carbon emission data from 30 typical Chinese cities from 2006 to 2017 and evaluates and analyzes the trend of city low-carbon levels using the CRITIC-TOPSIS technique and MK method. Meanwhile, the influence mechanism of the multi-coupled system is investigated using the coupling coordination degree model and random forest algorithm.The results show that there are 8 cities with a significant increasing trend of low-carbon level, 19 cities with no significant monotonic change trend, and 3 cities with a decreasing trend of low-carbon level. By analyzing the coupling coordination degree, we found that the coupling coordination degree between low-carbon level and economic development in most cities tends to increase year by year, from the initial antagonistic effect to a good coordination development trend, which confirms the “inverted U-shaped” relationship between economy and carbon emission. In addition, industrial pollutant emissions, foreign direct investment, and economic output are the core drivers of low-carbon levels in cities.

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Investigation on spatial and temporal variation of coupling coordination between socioeconomic and ecological environment: A case study of the Loess Plateau, China

Cited by 68 publications

References 81 publications

A Comparison of the International Competitiveness of Forest Products in Top Exporting Countries Using the Deviation Maximization Method with Increasing Uncertainty in Trading

A Comparison of the International Competitiveness of Forest Products in Top Exporting Countries Using the Deviation Maximization Method with Increasing Uncertainty in Trading

Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Exploring the impact mechanism of low-carbon multivariate coupling system in Chinese typical cities based on machine learning

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