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- W4296380276 abstract "China is currently in a new phase of transition from high-speed growth to high-quality growth, and accurate estimation of element outputs is essential for the smooth progress of the transition. Using the back-fitting method, this study constructed a model of a spatiotemporal-varying elasticity production function to estimate the factor-output elasticity from 1993 to 2017 in 31 Chinese provinces. Nonparametric kernel density method was applied to describe the spatiotemporal evolution characteristics of factor-output elasticity. The results show that the factor-output elasticity of different provinces shows a nonlinear change trend over time and between regions. Overall, the elasticity of labor output shows a decreasing trend, the elasticity of capital output shows an increasing tendency, the eastern region has the lowest level of labor-output elasticity, but the highest level of capital-output elasticity. The western region has the highest level of labor-output elasticity but the lowest level of capital-output elasticity. On the whole, regions with higher resilience in labor output gradually shift towards the West, while capital shifts towards the East." @default.
- W4296380276 created "2022-09-20" @default.
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- W4296380276 date "2022-09-20" @default.
- W4296380276 modified "2023-09-26" @default.
- W4296380276 title "Estimation and Dynamic Evolution of Provincial Factor-Output Elasticity in China" @default.
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- W4296380276 doi "https://doi.org/10.20965/jaciii.2022.p0792" @default.
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