Academic Journal

Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China's Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China's Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years.
Συγγραφείς: Ji, Kaiwen, Hou, Qiaoyun, Yu, Yi, Pan, Dan
Πηγή: Agriculture; Basel; Jan2024, Vol. 14 Issue 1, p75, 16p
Θεματικοί όροι: Carbon emissions, Municipal services, Cities & towns, Greenhouse gas mitigation, Agriculture, Carbon offsetting, Agricultural forecasts
Γεωγραφικοί όροι: China
Reviews & Products: Sustainable Development Goals (United Nations)
Περίληψη: Reducing carbon emissions is of paramount importance to the accomplishment of the 2030 Sustainable Development Goals. The effect of rural e-commerce on agricultural carbon emissions (ACEs) is controversial, and particularly the mechanism behind the effect is unknown. To identify the impact of rural e-commerce on agricultural carbon emissions and its mechanisms, we take advantage of China's Rural E-Commerce Demonstration County Program (REDCP) as a quasi-natural experiment and use the multi-period difference-in-difference (DID) model to investigate the relationship between rural e-commerce and agricultural carbon emissions. Our data are based on panel data of 355 prefecture-level cities from 2010 to 2019 in China. We identify that rural e-commerce can reduce agricultural carbon emissions by an average of 14.4%, but this effect is not long-lasting. Mechanism analyses suggest that the reduction effect of rural e-commerce on agricultural carbon emissions is mainly due to fostering agricultural economic growth, increasing the share of low-carbon industry, and improving agricultural total factor productivity (TFP). Further heterogeneity analyses demonstrate that rural e-commerce has better carbon emissions reduction performance in eastern cities as well as in non-major grain-producing cities in China. [ABSTRACT FROM AUTHOR]
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Βάση Δεδομένων: Complementary Index
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  Data: Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China's Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years.
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  Data: Agriculture; Basel; Jan2024, Vol. 14 Issue 1, p75, 16p
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  Data: <searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br /><searchLink fieldCode="DE" term="%22Municipal+services%22">Municipal services</searchLink><br /><searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br /><searchLink fieldCode="DE" term="%22Greenhouse+gas+mitigation%22">Greenhouse gas mitigation</searchLink><br /><searchLink fieldCode="DE" term="%22Agriculture%22">Agriculture</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+offsetting%22">Carbon offsetting</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+forecasts%22">Agricultural forecasts</searchLink>
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  Data: <searchLink fieldCode="PS" term="%22Sustainable+Development+Goals+%28United+Nations%29%22">Sustainable Development Goals (United Nations)</searchLink>
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  Label: Abstract
  Group: Ab
  Data: Reducing carbon emissions is of paramount importance to the accomplishment of the 2030 Sustainable Development Goals. The effect of rural e-commerce on agricultural carbon emissions (ACEs) is controversial, and particularly the mechanism behind the effect is unknown. To identify the impact of rural e-commerce on agricultural carbon emissions and its mechanisms, we take advantage of China's Rural E-Commerce Demonstration County Program (REDCP) as a quasi-natural experiment and use the multi-period difference-in-difference (DID) model to investigate the relationship between rural e-commerce and agricultural carbon emissions. Our data are based on panel data of 355 prefecture-level cities from 2010 to 2019 in China. We identify that rural e-commerce can reduce agricultural carbon emissions by an average of 14.4%, but this effect is not long-lasting. Mechanism analyses suggest that the reduction effect of rural e-commerce on agricultural carbon emissions is mainly due to fostering agricultural economic growth, increasing the share of low-carbon industry, and improving agricultural total factor productivity (TFP). Further heterogeneity analyses demonstrate that rural e-commerce has better carbon emissions reduction performance in eastern cities as well as in non-major grain-producing cities in China. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Agriculture; Basel is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.3390/agriculture14010075
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        Text: English
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        PageCount: 16
        StartPage: 75
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      – SubjectFull: China
        Type: general
      – SubjectFull: Sustainable Development Goals (United Nations)
        Type: general
      – SubjectFull: Carbon emissions
        Type: general
      – SubjectFull: Municipal services
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      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: Greenhouse gas mitigation
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      – SubjectFull: Agriculture
        Type: general
      – SubjectFull: Carbon offsetting
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      – SubjectFull: Agricultural forecasts
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      – TitleFull: Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China's Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years.
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            – D: 01
              M: 01
              Text: Jan2024
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              Y: 2024
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