The role of fiscal expenditure on science and technology in carbon reduction: Evidence from provincial data in China

Zhu, Yu; Liu, Ziming; Feng, Shuyi; Lü, Na

doi:10.1007/s11356-022-21500-7

Cited by 35 publications

(14 citation statements)

References 72 publications

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“…Zhu et al postulated that an upsurge in fiscal expenditure on science and technology would lower carbon emissions. The carbon reduction effects were found to display significant heterogeneity, with more substantial effects discerned in regions characterized by high internet coverage and a greater share of industry in the economy (Zhu et al 2022). Zhu et al also ascertained the mechanisms underlying the carbon reduction effects of fiscal expenditure on science and technology, wherein expenditure promoted green innovation and engendered a shift from the industrial sector to the tertiary sector of the economy (Zhu et al 2022).…”

Section: Feature Summary and Ale Testmentioning

confidence: 99%

“…The carbon reduction effects were found to display significant heterogeneity, with more substantial effects discerned in regions characterized by high internet coverage and a greater share of industry in the economy (Zhu et al 2022). Zhu et al also ascertained the mechanisms underlying the carbon reduction effects of fiscal expenditure on science and technology, wherein expenditure promoted green innovation and engendered a shift from the industrial sector to the tertiary sector of the economy (Zhu et al 2022). Conversely, Lin et al maintained that although green technology innovation could indirectly reduce CO2 emissions via the reform of industrial structures, the reduction effects were significant only when a particular level of human capital had accrued in the city (Lin &Ma 2022).…”

Section: Feature Summary and Ale Testmentioning

confidence: 99%

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Exploring influential factors of CO2 emissions in China’s cities using machine learning techniques

xiang

et al. 2023

Preprint

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Investigating the factors that exert an influence on CO2 emissions represents a critical undertaking for the formulation of effective policies aimed at reducing such emissions. Numerous past studies have attempted to explore the potential relationships between CO2 emissions and a variety of potential influencing factors. However, many of these investigations have been constrained by the inability to fit large sample datasets, as well as by the limitations of conventional research methods in addressing non-linear relationships. The aforementioned insufficiencies have resulted in a situation wherein a restricted set of factors can be examined in tandem within a singular model. This restriction has impeded the comprehensive investigation of multiple variables and their potential interrelationships. To bridge these research gaps, this research employed machine learning models to fit voluminous datasets concerning urban CO2 emissions and socioeconomic factors. This research also incorporated explainable techniques to disentangle the intricate relationships between the factors under investigation. The results demonstrated that urban fiscal structure, urban energy consumption, urban land use, and urban capital accumulation represented the primary factors driving urban CO2 emissions. The ALE test was employed to discern the specific relationships between these factors and CO2 emissions, ultimately revealing that almost all of these factors positively impacted CO2 emissions as their values rise. In both univariate and bivariate ALE tests, Expenditures on Science and Technology had emerged as a highly influential feature in terms of its impact on urban CO2 emissions. While the interaction effects elicited by Expenditures on Science and Technology had the potential to curb urban CO2 emissions in several ways, this research identified that these effects may be constrained. The relationship identified between urban socio-economic development and CO2 emissions also indicated that achieving low-carbon development in urban areas necessitates optimal resource allocation and the transformation of energy consumption structures. Furthermore, each city needs to tailor its low-carbon development pathway to its distinct characteristics.

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Section: Feature Summary and Ale Testmentioning

confidence: 99%

Section: Feature Summary and Ale Testmentioning

confidence: 99%

Exploring influential factors of CO2 emissions in China’s cities using machine learning techniques

xiang

et al. 2023

Preprint

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“…First, the policy of poverty alleviation can enhance the level of public expenditure of county governments, thus realizing the improvement of local ecological and environmental quality. Fiscal expenditure, as an important component of environmental finance, is closely related to environmental pollution (Shao et al, 2022;Zahra et al, 2022), and the level of fiscal expenditure largely influences the differentiation of provincial economic quality development (Wang et al, 2022), and increased government public expenditure tends to significantly improve the level of local ecological and environmental quality (Lin and Zhou, 2021a;Zhu et al, 2022), and some scholars even directly argue that the proportion of government expenditure to GDP is positively related to the level of air pollution (Carlsson and Gable, 2000;López et al, 2011). On the other hand, fiscal expenditure, as a mechanism factor, has a positive impact on the stability of industrial ecosystems (Guild, 2020;Schmidt et al, 2014;Zhu et al, 2022), and existing studies found that there is a significant spatial auto correlation between local fiscal expenditure and the level of industrial ecology, and the government can promote the stable development of local industrial ecosystems by guiding social funds through public expenditure (Guild, 2020;Schmidt et al, 2014), which is conducive to promoting the improvement of the local environment.…”

Section: Theoretical Mechanismsmentioning

confidence: 99%

“…Fiscal expenditure, as an important component of environmental finance, is closely related to environmental pollution (Shao et al, 2022;Zahra et al, 2022), and the level of fiscal expenditure largely influences the differentiation of provincial economic quality development (Wang et al, 2022), and increased government public expenditure tends to significantly improve the level of local ecological and environmental quality (Lin and Zhou, 2021a;Zhu et al, 2022), and some scholars even directly argue that the proportion of government expenditure to GDP is positively related to the level of air pollution (Carlsson and Gable, 2000;López et al, 2011). On the other hand, fiscal expenditure, as a mechanism factor, has a positive impact on the stability of industrial ecosystems (Guild, 2020;Schmidt et al, 2014;Zhu et al, 2022), and existing studies found that there is a significant spatial auto correlation between local fiscal expenditure and the level of industrial ecology, and the government can promote the stable development of local industrial ecosystems by guiding social funds through public expenditure (Guild, 2020;Schmidt et al, 2014), which is conducive to promoting the improvement of the local environment. And the implementation of the policy of poverty alleviation will make the local government pay more attention to the assessment from the higher level, thus changing the investment in environmental management and increasing public expenditure according to the importance of the assessment index from the higher level (Westmore, 2018;Zeng et al, 2021), so this will help the local improvement of the environmental quality condition.…”

Section: Theoretical Mechanismsmentioning

confidence: 99%

Does China’s poverty alleviation policy improve the quality of the ecological environment in poverty-stricken areas?

Ran

Hua

et al. 2022

Front. Environ. Sci.

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Poverty eradication and environmental protection as the two global goals of sustainable development. China’s poverty alleviation policy attempts to achieve green development in poverty-stricken areas by eliminating poverty while also promoting environmental protection. Since the Poverty-stricken counties on the Qinghai-Tibet Plateau also have the dual attributes of ecological degradation and ecological fragility, it is of great significance to study the impact of poverty alleviation policy on their environment. In this research, taking poverty alleviation policy as the entry point, based on panel data and Remote Sensing Ecological Index for poverty-stricken counties on the Qinghai-Tibet Plateau from 2011 to 2019, and using the difference-in-differences (DID) method to verify the impact of policy on environmental quality. The main findings of the study were: 1) The poverty alleviation policy has a significant improvement effect on the ecological environment quality of counties in the Qinghai-Tibet Plateau region, and this conclusion still holds in a series of robustness tests using methods including the changing sample size method and the variable replacement method. Moreover, the policy effect has a certain time lag and its effect persists in the long term; 2) It is mainly due to the increased level of government public expenditure and the easing of government financial pressure that has contributed to the improvement of environmental quality in poverty-stricken areas; 3) Policy heterogeneity suggests that industrial poverty eradication policies are more conducive to promoting synergistic economic and environmental development in poverty-stricken areas.

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“…In the extant literature, limited studies examined the influence of decentralization on the quality of the environment with diverse outcomes ( Xia et al, 2021 ; Lingyan et al, 2022 ; Zhu et al, 2022 ). Similarly, the empirical outcomes on the impact of resource rents on environment quality have also shown heterogeneous associations.…”

Section: Introductionmentioning

confidence: 99%

Resources curse hypothesis and COP26 target: Mineral and oil resources economies COVID-19 perspective

Liu

Yang²,

Bilan

et al. 2023

Resources Policy

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The role of fiscal expenditure on science and technology in carbon reduction: Evidence from provincial data in China

Cited by 35 publications

References 72 publications

Exploring influential factors of CO2 emissions in China’s cities using machine learning techniques

Exploring influential factors of CO2 emissions in China’s cities using machine learning techniques

Does China’s poverty alleviation policy improve the quality of the ecological environment in poverty-stricken areas?

Resources curse hypothesis and COP26 target: Mineral and oil resources economies COVID-19 perspective

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