Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Does Agricultural Mechanization Improve the Green Total Factor Productivity of China’s Planting Industry?

Version 1 : Received: 23 December 2021 / Approved: 27 December 2021 / Online: 27 December 2021 (10:01:50 CET)
Version 2 : Received: 28 December 2021 / Approved: 28 December 2021 / Online: 28 December 2021 (11:05:03 CET)

A peer-reviewed article of this Preprint also exists.

Journal reference: Energies 2022, 15
DOI: 10.3390/en15030940


Agricultural mechanization is an important factor to improve the green total factor productivity of planting industry, which is the key way to realize the sustainable development and high-quality development of agriculture. Based on the panel data of 30 provinces in China from 2001 to 2019, this paper uses the stochastic frontier analysis method of output oriented distance function to measure the green total factor productivity of China’s planting industry based on net carbon sink, and empirically studies the impact of agricultural mechanization on the green total factor productivity in China’s planting industry. The empirical analysis finds that mechanization can significantly promote the planting green total factor productivity, and this basic conclusion is still robust after using instrumental variables, sub sample regression. Further research found that the path of mechanization on planting green total factor productivity is mainly reflected in technology progress and spatial spillover. The mechanism of operation scale expansion, factor allocation optimization and technical efficiency change is not significant. Given these findings, the paper adds considerable value to the empirical literature and also provides various policy- and practical implications.


Agricultural mechanization; Planting industry; Net carbon sink; Green total factor productivity



Comments (1)

Comment 1
Received: 28 December 2021
Commenter: Yingyu Zhu
Commenter's Conflict of Interests: Author
Comment: 1. Revised the title.
2.Optimized some contents of the article.
+ Respond to this comment

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 1
Metrics 0

Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.