Measurement and analysis of technological progress bias in China's mariculture industry

Abstract

AbstractChoosing a technological progress bias that matches the factor endowment structure is significant for optimizing resource allocation and improving productivity. Therefore, in this study, a data envelopment analysis method is applied to calculate the input‐biased technological progress index of China's mariculture industry from 2006 to 2018, measure the bias of technological progress, and analyze its desirability. The results indicate the following: first, there is input‐biased technological progress in various regions and its contribution to the total factor productivity (TFP) in most regions is positive. Second, there are differences in the bias of technological progress during the sample period; that is, the technological progress between capital and labor, capital and mariculture area, and labor and mariculture area, is steadily biased toward using capital and saving labor, is mostly biased toward using capital and saving mariculture area, and is relatively biased toward using mariculture area and saving labor, respectively. Third, the results support constructing factor endowment indicators to analyze the desirability of technological progress bias and discover technological mismatch. Based on the research results, this study presents relevant policy recommendations to promote the scientific development of China's mariculture industry.