Research on the analysis of the coupling coordination degree of Shaanxi's atmospheric ecological governance and urban clean governance based on environmental sustainability

Zhang, Weidi; Wen, Lei

doi:10.1016/j.ecolind.2023.111068

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…While policies cannot completely prevent the decline of HQ, they can control the extent and scope of decline. Firstly, the formulation and implementation of policies are the cornerstone of ecological governance and coordinated development [73]. The government should scientifically formulate urban and rural development plans, strengthen top-level designs, improve the efficiency of urban land use, and control the expansion of construction land to reduce the encroachment on grassland, forest land, and water bodies and the risk of habitat degradation.…”

Section: The Role Of Policies In Lulc and Hq Governancementioning

confidence: 99%

Spatio-Temporal Differentiation and Driving Factors of Land Use and Habitat Quality in Lu’an City, China

Wang,

Zhao,

Jia

2024

Land

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The spatio-temporal evolution of land use/land cover (LULC) and habitat quality (HQ) is vital to maintaining ecological balance and realizing regional sustainable development. Using the InVEST and CA-Markov model, with the Kendall coefficient as the sensitivity value, LULC and HQ in Lu’an City from 2000 to 2030 are simulated and evaluated. Then, Spearman is used to analyze the correlation between HQ and driving factors. Finally, the influence of policy factors on HQ is discussed. The results show the following: (1) from 2000 to 2030, the LULC of Lu’an is mainly cropland (about 40%) and forest land (about 30%) which are transferred to construction land; (2) the kappa coefficient is 0.9097 (>0.75), indicating that the prediction results are valid; (3) the Spearman coefficient shows that DEM (0.706), SLOPE (0.600), TRI (0.681), and HFI (−0.687) are strongly correlated with HQ, while FVC (0.356) and GDP (−0.368) are weakly correlated with HQ; (4) the main reasons for the decrease in HQ are the increase in construction land area, the decrease in forest area, the vulnerability of artificial forests to threat factors, and their low biodiversity. This study outlines exploratory research from two perspectives of HQ factors and policy effects to provide policy suggestions for the sustainable development of Lu’an City.

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Section: The Role Of Policies In Lulc and Hq Governancementioning

confidence: 99%

Spatio-Temporal Differentiation and Driving Factors of Land Use and Habitat Quality in Lu’an City, China

Wang,

Zhao,

Jia

2024

Land

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“…If we consider "Biocracy" in the context of respecting the environment, it could potentially refer to a system of governance or decision-making that prioritizes and values ecological sustainability and the well-being of ecosystems (Li et al, 2023) . It may involve policies and practices that promote conservation, biodiversity, renewable resources, and a harmonious relationship with the natural world (Zhang et al, 2023). Also, If we define "Biocracy" as the mix of governance and the environment, it could refer to a system of governance that integrates environmental considerations and sustainability principles into decision-making processes (Qi et al, 2023).…”

Section: The First Question Raised Is What Is Biocracy?mentioning

confidence: 99%

The Impact of Governance and Economic Factors on Biocracy in the Committed Countries in COP28

Ronaghi

2024

Preprint

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Biocracy refers to a system of governance and decision-making that prioritizes the well-being and health of living systems, including ecosystems, species, and human communities. Biocracy promotes holistic, participatory, and adaptive management, integrating science, traditional knowledge, and collective decision-making. The goal is to cultivate a mutually enriching relationship between humans and the natural world. As a result, all human actions have an impact on Biocracy. This study covers annual data from 2010 to 2022 for a group of member countries of the COP28 with the percentage of emissions reduction needed to meet the 1.5 degree Celsius target by 2030 , among current top emitters and employs the Tobit Panel model with a limited dependent variable (LDV). The primary economic variables that substantially influence Biocracy are GDP growth, foreign investment, inflation rate, employment, and trade-related variables (exports and imports) and governance. The results indicate that the governance index and imports variable have the most significant positive effect on Biocracy and the elasticity of governance has the largest impact on Biocracy among all the variables studied. The study's objective is to identify strategies to enhance Biocracy without hindering economic growth, with an emphasis on the role of good governance. JEL Classification: C21 · F30 · F43 · G10

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Study on function evolution and coupling coordination degree of “Three Lives Space” in the upper reaches of Yangtze River in China

Li,

Tao,

Wen

2024

Environ Sci Pollut Res

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Research on the analysis of the coupling coordination degree of Shaanxi's atmospheric ecological governance and urban clean governance based on environmental sustainability

Cited by 7 publications

References 18 publications

Spatio-Temporal Differentiation and Driving Factors of Land Use and Habitat Quality in Lu’an City, China

Spatio-Temporal Differentiation and Driving Factors of Land Use and Habitat Quality in Lu’an City, China

The Impact of Governance and Economic Factors on Biocracy in the Committed Countries in COP28

Study on function evolution and coupling coordination degree of “Three Lives Space” in the upper reaches of Yangtze River in China

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