Technological progress bias and its impact on resource efficiency in China’s mariculture industry

Technological progress (TC) is an important driving force of resource efficiency, and its bias has an important impact on resource efficiency. Based on the data of China’s mariculture industry from 2008 to 2020, this paper constructs a double-layer nested CES production function, and uses the seemingly unrelated regression method to estimate the elasticity of substitution between resource elements and non-resource elements of mariculture industry, and measures the level of resource biased technological progress (RBTC). On this basis, the vector autoregressive model is used to explore the relationship between RBTC, resource price and resource efficiency. The results show that: Firstly, there is complementarity between the resource elements of China’s mariculture industry and the non-resource elements aggregated by labor and capital. Secondly, there is a long-term equilibrium relationship between resource biased technological progress, resource price and resource efficiency. resource biased technological progress has a short-term negative and long-term positive impact on resource efficiency, and resource price has a short-term negative and long-term positive impact on resource efficiency. Based on this, this paper puts forward relevant policy recommendations to promote the improvement of resource efficiency of mariculture.

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Publication Details

Journal
Frontiers in Marine Science
Published
2025-01-09
DOI
https://doi.org/10.3389/fmars.2024.1519162
Citations
1
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
3.09
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article

Technological progress bias and its impact on resource efficiency in China’s mariculture industry

Yanan Sun, Jiaojiao Kong
1 citations
Frontiers in Marine Science
Global trade and economics
3.09
article

Technological progress bias and its impact on resource efficiency in China’s mariculture industry

Yanan Sun, Jiaojiao Kong
article en
1 citations

Abstract

Technological progress (TC) is an important driving force of resource efficiency, and its bias has an important impact on resource efficiency. Based on the data of China’s mariculture industry from 2008 to 2020, this paper constructs a double-layer nested CES production function, and uses the seemingly unrelated regression method to estimate the elasticity of substitution between resource elements and non-resource elements of mariculture industry, and measures the level of resource biased technological progress (RBTC). On this basis, the vector autoregressive model is used to explore the relationship between RBTC, resource price and resource efficiency. The results show that: Firstly, there is complementarity between the resource elements of China’s mariculture industry and the non-resource elements aggregated by labor and capital. Secondly, there is a long-term equilibrium relationship between resource biased technological progress, resource price and resource efficiency. resource biased technological progress has a short-term negative and long-term positive impact on resource efficiency, and resource price has a short-term negative and long-term positive impact on resource efficiency. Based on this, this paper puts forward relevant policy recommendations to promote the improvement of resource efficiency of mariculture.

Frontiers in Marine ScienceVol. 11
Heze Medical College (CN), Ocean University of China (CN)
Decent work and economic growth
Openalex Percentile: Top 14%
Global trade and economics
3.09
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Technological progress bias and its impact on resource efficiency in China’s mariculture industry — Yanan Sun, Jiaojiao Kong · Frontiers in Marine Science (2025) | TGRS Research Map | TGRS