Effect of Broadband Infrastructure on Rural Household CO2 Emissions in China: A Quasi-Natural Experiment of a “Broadband Village”

Pan, Rao; Xie, Fangting; Zhu, Shubin; Ning, Caiwang; Liu, Xiaojing

doi:10.3389/fenvs.2022.818134

Cited by 8 publications

(8 citation statements)

References 89 publications

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“…The above three core issues for research and progress have important theoretical value and policy implications for analyzing the impact of ICTs on ACRE. Indeed, broadband is the main infrastructure for carrying information, and household broadband penetration within a region is often used to represent ICTs development level [36][37][38]. Our paper defines broadband adoption as an ICTs application.…”

Section: Introductionmentioning

confidence: 99%

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Pan

Liu²,

Zhu³

et al. 2022

IJERPH

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Based on the Environmental Kuznets Curve (EKC) hypothesis, this paper examines whether rural broadband adoption affects agricultural carbon reduction efficiency (ACRE), using panel data from 30 Chinese provinces from 2011 to 2019. This paper achieves a measurement of ACRE by taking the carbon sink of agricultural as one of the desired outputs and using a Slacks-Based Measure (SBM) model and the global Malmquist–Luenberger (GML) index. The results show that: (1) Rural broadband adoption has a positive effect on ACRE. The relationship between the income of rural residents and ACRE was an inverted U-shaped, which confirms the EKC hypothesis. (2) Land transfer has a significant promoting effect on the relationship between rural broadband adoption and ACRE. When the land transfer rate is high, the positive effect of broadband adoption is obvious. (3) The positive effect of broadband adoption on ACRE was more obvious when farmers invested more in production equipment, that is to say, it has a significant positive moderating effect. As farmers in many developing countries suffer from increasingly frequent and severe extreme weather events, we believe that the results of this study also have implications for the implementation of agricultural carbon reduction and smart agricultural equipment roll-out in many countries.

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Section: Introductionmentioning

confidence: 99%

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Pan

Liu²,

Zhu³

et al. 2022

IJERPH

Self Cite

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“…Ahmed and Le (2021) used the data from the six ASEAN countries from 1990 to 2018 and found that broadband development is conducive to reducing carbon emissions. At the same time, researchers also found this fact in North America, China, South Asia, and other countries and regions Usman et al, 2021;Rao et al, 2022b). Further, from a spatial perspective, network infrastructure significantly promotes local carbon emission reduction efficiency and positively affects neighboring regions (Wu et al, 2021b).…”

Section: Introductionmentioning

confidence: 81%

Can artificial intelligence achieve carbon neutrality? Evidence from a quasi-natural experiment

et al. 2023

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IntroductionAs the global climate crisis worsens, carbon neutrality has attracted the attention of various nations.MethodsBased on panel data from 282 Chinese prefecture-level cities from 2008 to 2019, this research considers the execution of the artificial intelligence strategy as a quasi-natural experiment. It uses the difference-in-differences (DID) model to evaluate the effect of artificial intelligence construction on carbon emission reduction.ResultsThe findings indicate that implementing the artificial intelligence strategy into practice can lower carbon emissions and advance carbon neutrality, and this conclusion still passes after various robustness tests. The mediating effects reveal that developing green technologies and upgrading the industrial structure are crucial mechanisms for achieving carbon neutrality. The implementation effect varies with time, geographical location, natural resource endowment, and city level.DiscussionThis article examines the influence of artificial intelligence on urban carbon neutrality at the city level, adding to the notion of urban carbon neutrality and providing research support for urban development transformation.

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“…The key assumption for using the DID method is that the experimental and control groups exhibit parallel trends [37], meaning that, before the implementation of the "Broadband China" strategy, the carbon emissions of listed companies in both groups had a relatively stable trend. In this study, following the approach of Li et al [38], we employ the Event Study Approach to investigate the dynamic effects of the "Broadband China" pilot.…”

Section: Robustness Test (1) Dynamic Effects and Placebo Testsmentioning

confidence: 99%

The Impact of Digital Infrastructure on Corporate Carbon Emissions: Evidence from the “Broadband China” Pilot

Wei,

Xia,

2024

Pol. J. Environ. Stud.

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Effect of Broadband Infrastructure on Rural Household CO2 Emissions in China: A Quasi-Natural Experiment of a “Broadband Village”

Cited by 8 publications

References 89 publications

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Can artificial intelligence achieve carbon neutrality? Evidence from a quasi-natural experiment

The Impact of Digital Infrastructure on Corporate Carbon Emissions: Evidence from the “Broadband China” Pilot

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