2022
DOI: 10.21203/rs.3.rs-1791447/v1
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How does Digital Village Construction Influences Carbon Emission? The Case of China

Abstract: Taking 30 provinces in China from 2011 to 2020 as a research sample, this paper empirically tests the impact of digital village construction on carbon emissions. This study found that there is an "inverted U" curve relationship between digital rural construction and rural carbon emissions. Agricultural planting structure and agricultural technical efficiency are important ways for digital village construction to produce carbon emission reduction effects. This study also found that the higher the level of econo… Show more

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Cited by 8 publications
(1 citation statement)
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“…Therefore, we measure the level of digital development by building a multi-dimensional indicator system. Based on the above theoretical analysis framework, references to relevant literature [47][48][49], and the availability of rural data at the province level, this paper constructs a multi-dimensional evaluation system consisting of seven secondary indicators, including agricultural production informatization, agricultural management informatization, informatization infrastructure construction, rural governance informatization, rural service informatization, regional development environment, and farmers' informatization literacy. Besides, fourteen third-level indicators are also constructed (see Table 1).…”
Section: Indicator Selectionmentioning
confidence: 99%
“…Therefore, we measure the level of digital development by building a multi-dimensional indicator system. Based on the above theoretical analysis framework, references to relevant literature [47][48][49], and the availability of rural data at the province level, this paper constructs a multi-dimensional evaluation system consisting of seven secondary indicators, including agricultural production informatization, agricultural management informatization, informatization infrastructure construction, rural governance informatization, rural service informatization, regional development environment, and farmers' informatization literacy. Besides, fourteen third-level indicators are also constructed (see Table 1).…”
Section: Indicator Selectionmentioning
confidence: 99%