Reducing Efficiency Loss Caused by Land Investment Introduction Based on Factor-Biased Technological Progress

In this study, we explore the impact of land investment introduction on efficiency loss at both the enterprise and urban levels and discuss the role of factor-biased technological progress in minimizing these losses. Using a nested constant elasticity of substitution (CES) production function, we theoretically validate the premise that land investment introduction disrupts the optimal allocation of productive factors and reduces the “threshold selection” effect of land cost, leading to efficiency losses. Empirically, the systematic generalized method of moments (GMM) is applied to analyze panel data from 284 prefecture-level cities in China between 2007 and 2019. The findings reveal that land investment introduction brings about efficiency losses and prolonged land investment strategies that deepen enterprise efficiency loss, while urban efficiency loss may be temporarily alleviated but tends to deepen over the long term. Enterprise efficiency loss can be reduced by selecting land-biased, labor-biased, and capital-biased technological progress; however, its impact on urban efficiency loss remains uncertain. These findings provide insights into the optimal selection of factor-biased technological progress for industrial enterprises and provide policy-oriented recommendations for enhancing production and improving efficiency.

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Publication Details

Journal
Land
Published
2025-06-20
DOI
https://doi.org/10.3390/land14071319
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
0.00

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article

Reducing Efficiency Loss Caused by Land Investment Introduction Based on Factor-Biased Technological Progress

Ning Zhang, Linyun Zhou
Land
Economic Growth and Productivity
article

Reducing Efficiency Loss Caused by Land Investment Introduction Based on Factor-Biased Technological Progress

Ning Zhang, Linyun Zhou
article en

Abstract

In this study, we explore the impact of land investment introduction on efficiency loss at both the enterprise and urban levels and discuss the role of factor-biased technological progress in minimizing these losses. Using a nested constant elasticity of substitution (CES) production function, we theoretically validate the premise that land investment introduction disrupts the optimal allocation of productive factors and reduces the “threshold selection” effect of land cost, leading to efficiency losses. Empirically, the systematic generalized method of moments (GMM) is applied to analyze panel data from 284 prefecture-level cities in China between 2007 and 2019. The findings reveal that land investment introduction brings about efficiency losses and prolonged land investment strategies that deepen enterprise efficiency loss, while urban efficiency loss may be temporarily alleviated but tends to deepen over the long term. Enterprise efficiency loss can be reduced by selecting land-biased, labor-biased, and capital-biased technological progress; however, its impact on urban efficiency loss remains uncertain. These findings provide insights into the optimal selection of factor-biased technological progress for industrial enterprises and provide policy-oriented recommendations for enhancing production and improving efficiency.

LandVol. 14(7)
Nanjing Agricultural University (CN), Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 79%
Economic Growth and Productivity
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