Evaluation, comparison, and unique features of ecological security in southwest China: A case study of Yunnan Province

Xie, Bingbing; Jones, Patrick A.; Dwivedi, Rajeev; Bao, Lili; Liang, Ruobing

doi:10.1016/j.ecolind.2023.110453

Cited by 18 publications

(5 citation statements)

References 44 publications

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“…Zhang et al (2023) based on PSR model to construct an assessment index system to identify the ecological problems of each region in China. Xie et al (2023) used the PSR model to vertically evaluate Yunnan's ecological security and horizontally compared ecological security between Yunnan and other four neighboring provinces.…”

Section: Gascmentioning

confidence: 99%

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Guo,

Li,

Xie

et al. 2024

Front. Environ. Sci.

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Humanity has consumed a large amount of energy and resources to maintain the rapid development of the economy and society, causing greenhouse gas and air pollutants to rise continuously, generating enormous pressures for the sustainable development of many cities. It is economical to control greenhouse gas and air pollutants from the synergy perspective. To identify the key driving factors involved in synergistic control, this paper uses the pressure-state-response (PSR) model to design a performance evaluation model of greenhouse gas and air pollutants synergistic control (GASC) utilizing pressure, state, and response dimensions. The performance evaluation factor system of GASC comprises three primary aspects and 18 criteria. The analytic hierarchy process (AHP) was used to determine the weight of each factor in the evaluation system. The technique for order preference by similarity to an ideal solution (TOPSIS) method was used to calculate the ranking of the synergistic control effects of the four representative provinces in China. We use Importance-performance analysis (IPA) to analyze the performance of driving factors of synergistic control in the province with the lowest ranking from 2016 to 2020. The research shows that in Northeast China, represented by Liaoning province, the government’s response should include changing the support strategy for the new energy consumer, introducing synergistic control standards and policies, and making flexible adjustments to the supply chain. The research provides a scientific basis for the performance evaluation of GASC and decision-making support for lean response strategies.

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Section: Gascmentioning

confidence: 99%

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Guo,

Li,

Xie

et al. 2024

Front. Environ. Sci.

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“…Numerous studies have investigated the pragmatic relationships between green technology innovations and environmental Quality [29,30]. Ali et al [31], for example, studied the association between urbanization, income level, technological innovation, and CO 2 emissions.…”

Section: Green Technological Innovations and Environmental Qualitymentioning

confidence: 99%

The Interplay of Green Technology and Energy Consumption: A Study of China’s Carbon Neutrality and Sustainable Digital Economy

Alam,

Lu,

Sarfraz

et al. 2023

Energies

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In light of the carbon neutrality goals set post-Paris Climate Conference (COP21), this study delves into the relationship between green technology innovations, energy consumption, and CO2 emissions in China, spanning the period of 1990 to 2021. The objective of this paper is to creatively present the idea of a low-carbon digital economy from the viewpoint of digital technology. Utilizing the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, we scrutinize this relationship, employing unit-root testing to verify the integrative attributes of the variables, inclusive of structural break data. Further analysis using the bootstrap Autoregressive Distributed Lag (ARDL) bound testing method corroborates the relationship between these key variables. The study reveals unidirectional co-integration over time among green technology innovations, renewable and non-renewable energy, per capita income, population, and CO2 emissions as per the Granger causality test. Interestingly, our findings suggest that while green technology innovation, per capita income, and renewable energy contribute to the reduction of CO2 emissions, non-renewable energy consumption and population growth exacerbate them. These insights offer valuable guidance for policymakers in formulating comprehensive strategies to enhance environmental quality through the promotion of renewable energy and green technology innovations, with a specific emphasis on the Chinese context.

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“…The inclusion of renewable energy consumption in the regression equation is justified because it can directly contribute to poverty alleviation by providing affordable and reliable energy sources [79]. By increasing the utilization of renewable energy sources, households have the potential to diminish their reliance on expensive and environmentally detrimental fossil fuels.…”

Section: Justification Of the Empirical Modelmentioning

confidence: 99%

“…Moreover, the diminishment of biodiversity resulting from the degradation of our natural surroundings undermines vital ecosystem services, such as pollination and soil fertility regulation, which are crucial for the sustenance of agriculture. This, in turn, directly affects the livelihoods of small-scale farmers who predominantly rely on subsistence farming techniques [1,79].…”

Section: Justification Of the Empirical Modelmentioning

confidence: 99%

Nexus between Environmental Degradation, Clean Energy, Financial Inclusion, and Poverty: Evidence with DSUR, CUP-FM, and CUP-BC Estimation

Li,

Qamruzzaman

2023

Sustainability

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This research delves into the intricate interconnections among financial inclusion, the adoption of renewable energy, environmental resilience, and poverty reduction in low-income countries (LICs), lower-middle-income countries (LMICs), and sub-Saharan Africa (SSA), in light of complex issues such as poverty, environmental degradation, and sustainable development. This work comprehensively understands the interaction between these crucial factors by utilizing a dynamic panel model, specifically Dynamic Seemingly Unrelated Regression (DSUR), CUP-FM, and CUP-BC. The empirical analysis conducted in our study has produced findings that are both significant and noteworthy. Financial inclusion pertains to facilitating formal financial services for demographic segments that have historically been marginalized or excluded. A negative relationship between financial inclusion and poverty levels in low-income countries (LICs), lower-middle-income countries (LMICs), and sub-Saharan Africa (SSA) has been observed. Moreover, there is an inverse correlation between the utilization of renewable energy sources and poverty, indicating that the utilization of renewable energy sources possesses the potential to catalyze the enhancement of economic conditions and overall welfare. However, it is important to note that the correlation between environmental deterioration and poverty underscores the urgent necessity for implementing comprehensive policies that address sustainability and poverty reduction. The results above shed light on the potential for governmental interventions to promote positive transformations. Improving endeavors to achieve financial inclusion holds the capacity to empower individuals and businesses alike, fostering economic progress and alleviating poverty. Renewable energy technology is progressively acknowledged as a viable strategy to promote economic advancement and tackle environmental issues simultaneously. It is of utmost importance to establish comprehensive policy frameworks that effectively tackle the intricate interplay between environmental degradation and poverty to create a future that is both sustainable and egalitarian.

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Evaluation, comparison, and unique features of ecological security in southwest China: A case study of Yunnan Province

Cited by 18 publications

References 44 publications

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

The Interplay of Green Technology and Energy Consumption: A Study of China’s Carbon Neutrality and Sustainable Digital Economy

Nexus between Environmental Degradation, Clean Energy, Financial Inclusion, and Poverty: Evidence with DSUR, CUP-FM, and CUP-BC Estimation

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