The Impact of China's Digital Agriculture on Carbon Emissions under the Dual Carbon Target
-- Empirical Research based on Quantile Regression and Spatial Durbin Model
DOI:
https://doi.org/10.54097/jid.v4i1.11438Keywords:
Digital Agriculture, Carbon Emissions, Quantile Regression, Spatial Durbin ModelAbstract
This article measures carbon emissions and digital agriculture in 30 provinces and cities in China from 2011 to 2020, and empirically analyzes their influencing factors. The results indicate that the total carbon emissions and the overall level of digital agriculture development in China are showing an increasing trend; Under different quantiles, the impact of population size and digital agriculture development level on inter provincial carbon emissions decreases, the impact of industrial upgrading level first decreases and then increases, and the impact of economic development level and greening level increases; The population size will promote the rise of carbon emissions in the local area and suppress carbon emissions in neighboring areas, the level of economic development will promote the rise of carbon emissions in the local and neighboring areas, the level of digital agriculture development will suppress the rise of carbon emissions in the local area, and the level of industrial upgrading and greening will suppress the rise of carbon emissions in the local and neighboring areas. Therefore, it is recommended to promote China's accelerated progress towards carbon neutrality goals through rational allocation of energy elements, enhancement of ecosystem carbon absorption capacity, and vigorous development of digital agriculture.
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