Editorial
https://doi.org/10.1080/1331677X.2020.1860795
Factor allocation structure and green-biased technological progress in Chinese agriculture
Jiangfeng Hu
Zhao Wang
Qinghua Huang
Abstract
In this paper, a nonparametric method is used to measure the
total factor productivity (TFP) growth index in Chinese agriculture
from 1981 to 2017, and the factor bias of technological progress
is identified based on the theory of induced technological progress. Then, according to the degree of dependence of technological progress on fertiliser, biased technological progress is
divided into green-biased technological progress and pollutionbiased technological progress, and then empirical test the factors
allocation structure that induce and promote green-biased
technological progress. The results show that China’s agricultural
TFP has undergone three stages of accelerated growth, negative
growth and fluctuation, and the growth momentum has undergone three transformations, which are jointly driven by technological efficiency and technological progress, dominated by
technological progress and dominated by technological efficiency.
Biased technological progress has contributed to the long-term
growth of agricultural TFP in most regions of China, but it is
mainly biased towards capital-using and fertiliser-using. The
labour/capital ratio and the capital/fertiliser ratio are increased,
reducing the capital/soil ratio, which can induce and promote
green-biased technological progress while suppressing pollutionbiased technological progress. The mechanism test results show
that increasing labour input can indirectly promote green technological progress by reducing mechanisation.
Keywords
Factor allocation structure; biased technological progress; total factor productivity; sequentialDEA; agricultural
Hrčak ID:
301271
URI
Publication date:
31.12.2021.
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