Measurement of green transition and its driving factors: Evidence from China

Zhai, Xueqi; An, Yunfei; Shi, Xunpeng; Liu, Xiao

doi:10.1016/j.jclepro.2021.130292

Cited by 27 publications

(16 citation statements)

References 67 publications

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“…The people’s livelihood improvement trend (PIT) comprehensively assesses the green and low-carbon lifestyle trend for residents in terms of work and employee payments, and residents’ lives [ 30 , 46 ]. The economic transformation trend (ETT) comprehensively assesses the trend of green production through technological development [ 28 , 47 , 48 ].…”

Section: Methodsmentioning

confidence: 99%

Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China

2022

IJERPH

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The contradiction between the endless pursuit of material possessions and finite natural resources hampers ecological well-being performance (EWP) improvement. Green transformation, recognized as an emerging strategy in sustainable development, can help to coordinate ecological, social, and economic growth by optimizing resource usage, with the ultimate objective of enhancing EWP. This research quantifies how green transformation influences EWP by using panel data from 78 prefecture-level cities in western China from 2012 to 2019. Using the super-SBM and entropy weight models, we assess the EWP and green transformation index (GTI) of 78 prefecture-level cities in western China. On this basis, we quantify the spatial characteristics of EWP by an analysis of the Theil index and spatial autocorrelation. Finally, we examine how GTI affects EWP using the Spatial Durbin model. The results demonstrate that the GTI can raise the EWP of local and nearby cities in western China. According to a GTI analysis of internal indicators, the industrial solid waste usage, harm-less treatment rate of domestic waste, savings level, and R&D expenditure significantly affect EWP. In contrast, the soot emission and consumption levels impede EWP advancement. The analysis of effect decomposition indicates that the sewage treatment rate, expenditure on science and technology, and green patents have a significant spatial spillover effect on the improvement of EWP.

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Section: Methodsmentioning

confidence: 99%

Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China

2022

IJERPH

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“…To quantify the measurement and influencing factors of the GT, scholars concentrate on the green development index, green development performance, and green growth efficiency. Some studies demonstrate a U-shaped or non-linear relationship between the GT and economic growth by estimating the GT with the green development performance index using the DEA model (Liu et al, 2022;Yang et al, 2021); some reveal that resource allocation, environmental protection, economic development and social coordination are the four key factors influencing the GT (Giri et al, 2019;Zhai et al, 2022); and some conclude that the green growth policy, green strategy and the role of governments in the green transition process are non-negligible factors, particularly for Asian countries and regions (Choi et al, 2016;Samper et al, 2021).…”

Section: Green Transition For Sustainable Developmentmentioning

confidence: 99%

“…Thus, it can provide a more comprehensive framework for sustainable and coordinated development of regional economy. From the perspective of historical evolution of sustainable development, green economy or green transition can be used to represent the sustainability of national or regional economies due to its pursuit of reducing resource consumption and improving environmental quality (Choi et al, 2016;Zhai et al, 2022). Theoretically, sustainable development and coordinated development are linked by green transition.…”

Section: Introductionmentioning

confidence: 99%

Sustainable and coordinated development: Green transition as a new driving force of regional economy

Liu

Yang

2023

Sustainable Development

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A high‐quality green transition is essential to achieving sustainable and coordinated global development. In this paper, a new method of two‐step geometric average is proposed to measure green transition, and a comprehensive framework on the relationship between sustainability and coordination via the propelling force of green transition is constructed at both the national and provincial levels. In addition, the mediating effect model and the threshold model are employed to empirically verify the mechanisms and influences. According to the results, green transition can contribute to regional economic growth at national level and to the coordinated development of regional economies at provincial level in China. Meanwhile, the non‐linear ‘U‐shaped’ relationships between green transition and regional economy are demonstrated in Asia and the eastern region of China, and spillover effect of technological innovation can indirectly promote regional development. In addition, the heterogeneity effect of green transition fully releases the dividend of economic quality and environmental governance capacity, promoting the coordinated development of regional economies. In the meantime, the driving force of green transition on regional economy is dependent on the external environment, particularly before and after the outbreak of COVID‐19, when its impact has altered substantially. Therefore, it is necessary to promote green transition via greater technological innovation efficiency, and then to restore the vitality of regional economic development; which could provide policy makers and professionals in the regional economy with information for enhancing sustainable and coordinated development.

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Section: Introductionmentioning

confidence: 99%

“…Different from traditional development relying on resources and extensive industries, green development emphasizes the impacts of economic growth on society and environment (Tang et al, 2022). It pursues that economic growth is decoupled from consumption and environmental pollution to benefit from resource conservation, environmental friendliness, and ecological conservation (Luo et al, 2022; Zhai et al, 2022). However, many of the world's cities are urbanizing along with significant negative externalities, including environmental pollution, infrastructure without climate resilience, and resource inefficiency.…”

Section: Introductionmentioning

confidence: 99%

Emissions trading scheme and green development in China: Impact of city heterogeneity

Zhai

Shi

et al. 2023

Sustainable Development

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The emissions trading scheme (ETS) is a key policy tool for reducing carbon emissions and combating climate change but may cause unintended social-economic consequences. Clarifying the role of city heterogeneity can contribute to improving ETS policy and informing green development roadmaps. Using panel data of 274 Chinese prefecture-level cities, the heterogeneous impacts of ETS on city green development efficiency (CGDE) were assessed by the difference in difference in difference (DDD) method. The results show that: the ETS significantly advances China's CGDE, mainly through inducing cities' green innovation. More insightfully, the ETS policy has more significant positive effects on the cities in the eastern region, high economic development, resource abundance, and good environmental governance than otherwise. The study suggests that designing the ETS should incorporate the cities' heterogeneous characteristics to accelerate green development through green innovation and cover more regions and industries.

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Measurement of green transition and its driving factors: Evidence from China

Cited by 27 publications

References 67 publications

Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China

Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China

Sustainable and coordinated development: Green transition as a new driving force of regional economy

Emissions trading scheme and green development in China: Impact of city heterogeneity

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