Environmental Efficiency of Node Cities in Chinese Section of Silk Road Economic Zone and Its Influencing Factors

Zhang, Lei; Peng, Xinyu

doi:10.1155/2021/6405394

Cited by 3 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Urumqi City, the economic, political and cultural center of Xinjiang, is located in the Urumqi River basin. With the construction of the Belt and Road Initiative in recent decades, Urumqi City has experienced rapid urbanization as the core driving region for the Silk Road Economic Belt [ 72 , 73 ]. Global warming and the melting of glaciers have significantly affected the landscape pattern of the basin, resulting in significant changes in the vegetation cover [ 74 , 75 ].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin

Mamattursun

Han

Ablikim

et al. 2022

IJERPH

View full text Add to dashboard Cite

It is important to determine long-term changes in vegetation cover, and the associated driving forces, to better understand the natural and human-induced factors affecting vegetation growth. We calculated the fractional vegetation coverage (FVC) of the Urumqi River basin and selected seven natural factors (the clay and sand contents of surface soils, elevation, aspect, slope, precipitation and temperature) and one human factor (land use type). We then used the Sen–Man–Kendall method to calculate the changing trend of the FVC from 2000 to 2020. We used the optimal parameters-based geographical detector (OPGD) model to quantitatively analyze the influence of each factor on the change in vegetation coverage in the basin. The FVC of the Urumqi River basin fluctuated from 2000 to 2020, with average values between 0.22 and 0.33. The areas with no and low vegetation coverage accounted for two-thirds of the total area, whereas the areas with a medium, medium–high and high FVC accounted for one-third of the total area. The upper reaches of the river basin are glacial and forest areas with no vegetation coverage and a high FVC. The middle reaches are concentrated in areas of urban construction with a medium FVC. The lower reaches are in unstable farmland with a medium and high FVC and deserts with a low FVC and no vegetation. From the perspective of the change trend, the areas with an improved FVC accounted for 62.54% of the basin, stable areas accounted for 5.66% and degraded areas accounted for 31.8%. The FVC showed an increasing trend in the study area. The improvement was mainly in the areas of urban construction and desert. Degradation occurred in the high-elevation areas, whereas the transitional zone was unchanged. The analysis of driving forces showed that the human factor explained more of the changes in the FVC than the natural factors in the order: land use type (0.244) > temperature (0.216) > elevation (0.205) > soil clay content (0.172) > precipitation (0.163) > soil sand content (0.138) > slope (0.059) > aspect (0.014). Apart from aspect, the explanatory power (Q value) of the interaction of each factor was higher than that of the single factor. Risk detection showed that each factor had an interval in which the change in the FVC was inhibited or promoted. The optimum elevation interval of the study area was 1300–2700 m and the greatest inhibition of the FVC was seen above 3540 m. Too much or too little precipitation inhibited vegetation coverage.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin

Mamattursun

Han

Ablikim

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Regarding more causes of environmental regulation performance differences, previous studies have mainly analyzed economic and industrial development, energy consumption, technological innovation, and management institutions. First, regarding economic factors, gross domestic product (GDP) significantly contributes to environmental efficiency [34], while the relationship between economic development factors and PM2.5 environmental efficiency resembles an inverted "U" shape [8]. In terms of industrial factors, the clustering of high-tech industries is conducive to enhancing green innovation performance [35].…”

Section: Driving Mechanisms Of Differences In Environmental Regulatio...mentioning

confidence: 99%

“…In terms of industrial factors, the clustering of high-tech industries is conducive to enhancing green innovation performance [35]. In addition, industrial structure has a significant effect on environmental efficiency [34], especially the proportion of secondary industries that inhibit environmental efficiency [8].…”

Section: Driving Mechanisms Of Differences In Environmental Regulatio...mentioning

confidence: 99%

Temporal–Spatial Evolution, Influencing Factors, and Driving Mechanisms of Environmental Regulation Performance Disparities: Evidence from China

Han

Zhao

2023

Sustainability

View full text Add to dashboard Cite

Countries worldwide are facing ecological crises, and improving global ecological quality through environmental regulations is key to achieving sustainable development. As the largest developing country, China’s response to diverse ecological conflicts in different regions through environmental regulations considerably impacts global ecological conservation. Based on 2008–2020 panel data from 30 provinces, this study measures the spatial distribution patterns and time-series evolutionary trends in environmental regulation performance differences using the entropy weight method and the Theil index model. Quadratic assignment procedure and qualitative comparative analysis models were combined to explore the determinants and driving mechanisms of differences in environmental regulation performance. The results show that the prevalent uneven development of environmental regulations and disparities in regulation performance mainly originate from inter-regional differences. Political factors affecting performance differences include decision value and decision decentralization; administrative factors are command-based regulations; and rule-of-law factors include project, financial, and subject regulation. Furthermore, these three factor types can interact to form eight high environmental regulation performance paths and seven non-high environmental regulation paths, which together constitute the driving mechanism for performance differences. This study enriches the theoretical understanding of environmental regulation performance differences from the public management perspective, which can guide environmental regulation policy optimization and promote high-level, balanced environmental development.

show abstract

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

mentioning

confidence: 99%

Retracted: Environmental Efficiency of Node Cities in Chinese Section of Silk Road Economic Zone and Its Influencing Factors

2023

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Environmental Efficiency of Node Cities in Chinese Section of Silk Road Economic Zone and Its Influencing Factors

Cited by 3 publications

References 15 publications

Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin

Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin

Temporal–Spatial Evolution, Influencing Factors, and Driving Mechanisms of Environmental Regulation Performance Disparities: Evidence from China

Retracted: Environmental Efficiency of Node Cities in Chinese Section of Silk Road Economic Zone and Its Influencing Factors

Contact Info

Product

Resources

About