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

Choosing 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...

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Bibliographic Details
Published in:Journal of the World Aquaculture Society Vol. 53; no. 1; pp. 60 - 76
Main Authors: Sun, Yanan, Ji, Jianyue
Format: Journal Article
Language:English
Published: Hoboken, USA Wiley Subscription Services, Inc 01.02.2022
John Wiley & Sons, Inc
Subjects:
Bias
capital
China
Data envelopment analysis
factor endowment
industry
input‐biased technological progress index
issues and policy
Labor
Labour
mariculture
Marine aquaculture
Productivity
Resource allocation
technological progress bias
China
ISSN:0893-8849, 1749-7345
Online Access:Get full text
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Summary:Choosing 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.
Bibliography:Funding information
National Natural Science Foundation of China, Grant/Award Numbers: 71873127, 71573238; National Social Science Fund of China, Grant/Award Number: 19VHQ007
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ISSN:0893-8849
1749-7345
DOI:10.1111/jwas.12866