Data elements empowerment and agricultural energy consumption: A quasi-natural experiments of national big data comprehensive pilot zone
Ruimin Qin
School of Economics and Management, Guangxi Normal University
Qin Su
School of Economics and Management, Guangxi Normal University
Yating Nong
School of Economics and Management, Guangxi Normal University
Shuangcheng Lei
School of Business, Guilin Institute of Information Technology
DOI: https://doi.org/10.59429/bam.v7i2.10518
Keywords: Agricultural energy consumption; National big data comprehensive pilot zone; Optimum scale management; Nonlinear moderating moderating effects
Abstract
As the core production factor in the digital economy era, data element is a powerful hand to promote the green development of agriculture. This paper regards the eight national big data comprehensive pilot zones (NBDCPZs) as a quasi-natural experiment, and investigate the effect of policies on agricultural energy consumption (AE) in NBDCPZs by using a differences-in-differences model. The results show that the policy of NBDCPZs has a significant effect on reducing AE, and this result passes the parallel trend test and a series of robustness tests. The moderating effect shows that the impact of the policy on AE in NBDCPZs is affected by the nonlinear moderation effect of optimum scale management, and the adjustment effect shows an inverted U-shaped characteristic. The heterogeneity analysis shows that the policy effect of NBDCPZs on AE is more significant in the central and western regions, the northwest of Hu Huanyong line with low population density. Accordingly, this paper provides evidence for reducing AE in NBDCPZs and offers policy recommendations for promoting high-quality development of agriculture.
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