The effect of low-carbon transportation pilot policy on carbon performance: evidence from China

Zhang, Xingmin; He, Pan; Liu, Xiaoqian; Lu, Tom

doi:10.1007/s11356-023-25940-7

Cited by 7 publications

(3 citation statements)

References 89 publications

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“…Putting forward carbon peaking and carbon neutrality goals shows the significance of low‐carbon sustainable development, which is the root of the energy revolution, a key to sustainable development for the economy and society, and the only way to green and high‐quality development (Bi et al, 2023; Wang et al, 2023). The present research owes low‐carbon sustainable development to the degree of industrial agglomeration (Li et al, 2022; Xu et al, 2022), innovation capability (Ockwell et al, 2009; Zhang et al, 2023), and smart city construction (Sun & Zhang, 2020). Although digital economy development has been an essential pillar of the national economy (W. Zhang et al, 2021), research on the relationship between digital economy development and low‐carbon sustainable development is limited.…”

Section: Introductionmentioning

confidence: 94%

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Tan,

Yang,

Irfan

et al. 2023

Bus Strat Env

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Low‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, and adopting sustainable production and consumption patterns. Simultaneously, the evolving digital economy is acknowledged as an essential driver in optimizing the industrial structure. Therefore, can digital economy development reshape the industrial structure and lead to low‐carbon sustainable development? The main purpose of this paper is to examine the mediating role of industrial structure upgrading in the relationship between the digital economy and low‐carbon development. Its ultimate purpose is to explore more possible paths to achieve low‐carbon development. This paper builds a regression model based on the data of cities. We found that digital economic development can directly promote low‐carbon sustainable development, a conclusion that still holds after endogeneity discussion and robustness testing. Additionally, digital economy development can promote industrial structure upgrading and thus promote low‐carbon sustainable development, meaning that industrial structure upgrading is an effective mechanism for digital economy development to promote low‐carbon sustainable development. This paper provides empirical evidence for the positive environmental externalities of digital economic development and establishes a basic research framework of “digital economic development → industrial structure upgrading → low‐carbon sustainable development.”

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Section: Introductionmentioning

confidence: 94%

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Tan,

Yang,

Irfan

et al. 2023

Bus Strat Env

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“…Numerous studies have shown that pilot policies have some spatial spillover effects [52,53]. According to the "polarization-trickle-down" theory [54,55], the high demand for labor, capital, and other resources in the NU pilot cities will create a "siphon effect", which will deprive the surrounding areas of resources for urban development [56,57].…”

Section: Spillover Effects Of Nu On Umementioning

confidence: 99%

Does New Urbanization Promote Urban Metabolic Efficiency?

Liao

2024

Sustainability

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Existing studies have paid less attention to the impact of new urbanization (NU) on urban metabolic efficiency (UME). This paper empirically tests the mechanism and the effect of NU on UME based on China’s panel data from 2008 to 2020, using China’s NU pilot as a quasi-natural experiment. The study draws the following conclusions: (1) NU can significantly promote UME. (2) NU can promote UME for cities in neighboring regions. (3) The effect of NU on UME presents the heterogeneous characteristics of eastern region > central region > western region, non-urban agglomeration cities > urban agglomeration cities, and is greater in central cities than in non-central cities. (4) Mechanism analysis shows that NU can promote UME through six paths: promoting urban–rural integration and regional synergistic development, reducing urban sprawl and energy mismatch, strengthening urban–rural population mobility, and green innovation division of labor. The above results are not only conducive to incorporating UME into NU’s appraisal system but also to making UME, which can reflect the quality of urban development in a more comprehensive and systematic way, a performance measurement tool for NU.

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“…Thirdly, in terms of the regional agricultural carbon emission efficiency spatial correlation network, many scholars have now not only analyzed the differences in agricultural carbon emission efficiency between different regions but also studied in depth the spatial aggregation and convergence of agricultural carbon emission efficiency and other issues involving the spatial correlation network of regional agricultural carbon emission efficiency. In this regard, scholars have conducted extensive studies [37][38][39][40] exploring spatial spillover effects, spatial correlation relationships, etc. Studies have shown that agricultural carbon emission efficiency exhibits significant spatial autocorrelation, and there is a mutual influence relationship between agricultural carbon emission efficiency in different regions.…”

Section: Review Of the Literaturementioning

confidence: 99%

Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries

Shu

Hong

et al. 2023

Sustainability

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Agricultural carbon emissions are one of the major causes of global climate change. As some of the world’s largest agricultural producers and consumers, countries along the route of the Belt and Road initiative produce significant agricultural carbon emissions. An in-depth study on the efficiency of agricultural carbon emissions in countries along the route can help countries reduce environmental load while improving agricultural production, optimizing resource use, improving agricultural production efficiency, and achieving sustainable development goals, which is significant for global climate change mitigation. Based on the relational data and network perspective, this paper takes the agricultural carbon emission efficiency of 34 countries along the route of the Belt and Road Initiative from 1995 to 2020 as the research object. It integrates the social network analysis method and other methods to realize the expansion of agricultural carbon emission efficiency in the research method. The study shows that (1) agricultural carbon emission efficiency has more room for improvement and presents complex spatially linked network characteristics; (2) the spatial correlation network of agricultural carbon emission efficiency is relatively well connected, and there is a general spatial correlation and spatial spillover effect among countries; and (3) similar differences in the proportion of primary industries and differences in informatization levels help establish spatial correlations between regions and produce spatial spillover effects. It is imperative to change global economic growth, social development, and lifestyles through green development. This study is conducive to the international community’s formulation of differentiated agricultural carbon emission reduction support mechanisms for different countries to help the countries realize the transformation of agriculture and even overall economic development as soon as possible. At the same time, accelerating the pace of emission reduction and reducing the negative impact of agricultural carbon emissions are conducive to better responding to the challenges posed by global climate change.

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The effect of low-carbon transportation pilot policy on carbon performance: evidence from China

Cited by 7 publications

References 89 publications

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring

Does New Urbanization Promote Urban Metabolic Efficiency?

Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries

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