Reassessing the Effect of Low-Carbon City Policy in China: New Evidence From the Nighttime Light Data

Xing, Li; Zhao, Chunkai; Huang, Mingzhi

doi:10.3389/fenrg.2021.798448

Cited by 12 publications

(9 citation statements)

References 64 publications

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“…Second, similar to prior research ( 69 , 70 ), climate characteristics cover three variables, Temperature, Relative humidity , and Precipitation , as the influence of climatic factors on haze pollution is gradually attracting attention. The definitions of above variables are listed in Table 1 .…”

Section: Methodology and Variablesmentioning

confidence: 71%

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Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Zhao

Yan

2022

Front. Public Health

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Based on the exogenous shock of digital financial development in China in 2013, a difference-in-differences (DID) model is set up in this paper to investigate the causal relationship between digital financial development and haze pollution reduction. The finding of the paper is that a one standard deviation increase in digital finance after 2013 decreases the PM2.5 concentrations by 0.2708 standard deviations. After a number of robustness checks, like placebo tests, instrumental variable (IV) estimations, eliminating disruptive policies, and using alternative specifications, this causal effect is not challenged. In addition, this paper explores three potential mechanisms of digital finance to reduce haze pollution: technological innovation, industrial upgrading, and green development. Moreover, the heterogeneous effects signify that the usage depth of digital finance works best in haze pollution reduction. Digital finance has more positive effects in cities in the north and those with superior Internet infrastructure and higher levels of traditional financial development. However, the quantile regression estimates suggest that for cities with light or very serious haze pollution, the positive impact of digital finance is limited. These findings supplement the research field on the environmental benefits of digital finance, which provides insights for better public policies about digital financial development to achieve haze pollution reduction.

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Section: Methodology and Variablesmentioning

confidence: 71%

“…In other words, before exogenous shocks to digital finance occurred in 2013, the haze pollution status of the cities needed to have the same trend. Drawing on the event study approach ( 66 , 69 , 70 ), we utilize the following model to conduct the parallel trend tests.…”

Section: Methodology and Variablesmentioning

confidence: 99%

Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Zhao

Yan

2022

Front. Public Health

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“…(2020) used the particle swarm optimization‐back propagation algorithm and the architecture of the auto‐encoder model with a convolutional neural network to unify DMSP/OLS and NPP/VIIRS satellite images and calculate the 1997−2017 Chinese emissions for 2735 counties. Considering the EIP as an environmental policy for a prefecture‐level city and referring to existing studies (Li & Wang, 2022; Li et al., 2022; Wang et al., 2021), prefectural city‐scale carbon emission data are generated by summing the corresponding county‐scale carbon emission data.…”

Section: Methodsmentioning

confidence: 99%

Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China

Nie

Wang

et al. 2022

J of Industrial Ecology

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Low‐carbon development is associated with eco‐industrial parks (EIPs), but whether a causal relationship exists is unknown. A growing body of evidence from environmental engineering studies suggests that EIPs reduce carbon emissions, but few economic studies have assessed the causality, channels, and heterogeneity of this relationship. This study uses the staggered difference‐in‐difference method to construct a quasi‐natural experiment to assess the impact of national‐level EIPs on low‐carbon development. The empirical results reveal that EIPs help achieve low‐carbon development in China. Specifically, EIPs reduce the carbon intensity of the pilot cities by 7.2%. The channel analysis reveals that EIPs advance technological innovation, stimulate the Porter effect, and upgrade the industrial structure. Regional heterogeneity analysis further reveals that EIPs are more conducive to low‐carbon development in pilot cities in southern China, cities along the coast, and cities on the east of the Hu line. Further analysis shows that EIPs depress the peak of the environmental Kuznets curve and help achieve the turning point early. Moreover, this study offers fresh cases and patterns for the construction of EIPs in China. This study contributes to an in‐depth understanding of the role of EIPs in the low‐carbon transition in the largest developing country and provides inspiration for further policy optimization.

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“…Uddin et al (2017) provide evidence that climate change has been perceived by most farmers, with increased temperatures and decreased precipitation over the past 20 years, negatively impacting farmers' health and livelihoods. In addition, concern of health risk plays as the mechanism of the public attention to environment and air pollution (Li et al, 2022b).…”

Section: Mechanisms Of Livelihood Capitalsmentioning

confidence: 99%

Climate Change and Farmers’ Household Financial Vulnerability: Evidence From China

Yang

Zhang

Lei

et al. 2022

Front. Environ. Sci.

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Climate change is one of the most severe threats to human survival and a significant factor influencing financial stability. Different from previous studies, this paper investigates the economic impact of climate change at the micro level based on data from China Meteorological Administration database, and China Household Finance Survey (CHFS) 2017 released in 2019. The empirical findings indicate that climate change contributes to the financial vulnerability of farmers’ households, which is confirmed following robustness tests. The mechanism analysis reveals that climate change has effects on rural households’ financial vulnerability via farmers’ health, credit availability, and agricultural output. Furthermore, the effect of climate change on farmers’ household financial vulnerability (HFV) is more pronounced in farmers with lower education levels. The changes in temperature and precipitation show different intensity effects in different areas, but all of them provide reasonable heterogeneity mechanisms. This paper’s policy value is demonstrated by the fact that it uncovers the effects of climate change on farmers’ HFV, information that may be useful for addressing climate change and rural financial stability.

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Reassessing the Effect of Low-Carbon City Policy in China: New Evidence From the Nighttime Light Data

Cited by 12 publications

References 64 publications

Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China

Climate Change and Farmers’ Household Financial Vulnerability: Evidence From China

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