An analysis of the spatial and temporal correlation effects of forestry labor productivity and its influencing factors in China

LIU Yandi, ZHANG Cheng, SUN Zhe, LYU Jiehua

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (6) : 229-238.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (6) : 229-238. DOI: 10.12302/j.issn.1000-2006.202305026

An analysis of the spatial and temporal correlation effects of forestry labor productivity and its influencing factors in China

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Abstract

【Objective】This study aims to investigate the spatio-temporal correlation patterns of forestry labor productivity in China, examine the factors influencing it and their spillover effects, and propose actionable measures to boost forestry labor productivity.【Method】Using the panel data of 31 provinces (including municipalities and autonomous regions) in mainland China from 2010 to 2020, the study employed univariate and bivariate Moran indices to test the spatio-temporal correlation characteristics of regional forestry labor productivity. Based on the findings, four models were established and compared: no spatio-temporal effect, temporal effect, spatial effect, and spatio-temporal effect. Ultimately, a dynamic spatial panel model was selected to analyze the factors driving labor productivity and decompose the spatio-temporal effects.【Result】(1) There were cumulative circular time effects and positive spatio-temporal interaction effects on regional forestry labor productivity in China. (2) The improvement of local forest land labor ratio, industrial agglomeration level, industrial structure optimization, labor remuneration, technological progress, pure technical efficiency and scale efficiency had contributed to local forestry labor productivity, among which the contribution rates of forest land labor ratio and labor remuneration were the highest. (3) The improvement of capital labor ratio and labor remuneration had negative spillover effects on neighboring forestry labor productivity, while the improvement of technological progress and scale efficiency had positive spillover effects. (4) Except for the capital labor ratio, which was insignificant, the long-term effects of other factors were in the same direction as their short-term effects, and their average degree of influence was 2.368 times that of the short-term effects.【Conclusion】To improve forestry labor productivity, policymakers should consider the local effects and spatial spillover effects of each factor and carefully weigh the effects of various factors while taking into account the long-term effects of policy measures, in order to make reasonable decisions.

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forestry labor productivity / spatio-temporal effects / Moran index / dynamic spatial panel model

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LIU Yandi , ZHANG Cheng , SUN Zhe , et al. An analysis of the spatial and temporal correlation effects of forestry labor productivity and its influencing factors in China[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2024, 48(6): 229-238 https://doi.org/10.12302/j.issn.1000-2006.202305026

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