Total factor productivity growth in China's agricultural sector

Chen, Po‐Chi; Yu, Ming‐Miin; Chang, Ching‐Cheng; Hsu, Shih‐Hsun

doi:10.1016/j.chieco.2008.07.001

Cited by 177 publications

(112 citation statements)

References 28 publications

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“…Previous studies measured agricultural TFP and empirically analyzed several causative factors including economies of scale (Thirtle et al 2008), research and development (R&D) activities (Alene 2010), human capital (Astorga et al 2011), soil quality (Jayasuriya 2003), and public facilities such as roads, and irrigation and drainage facilities (Suphannachart and Warr 2010;Chen, et al 2008).…”

Section: Literature Review and Scientific Questionsmentioning

confidence: 99%

Technological spillover in Japanese rice productivity under long-term climate change: evidence from the spatial econometric model

Kunimitsu

Kudo

Iizumi

et al. 2015

Paddy Water Environ

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Rice productivity will be affected by climate conditions not only in own region but also in neighboring regions through technological spillover. Measuring such direct and indirect influence of future climate change is important for policy making. This study analyzes socioeconomic and climate factors in rice total factor productivity (TFP) and evaluates technological spillover effects by using the spatial econometric model. To consider geographical situation, we use hydrological model in addition to crop-yield and crop-quality models. Results show that spatial autoregressive tendencies were observed in rice TFP, even though the influences of climate factors were removed. Such spatial dependence brings about synergistic effects among neighboring prefectures in northern Japan and depression effects, like a spatial trap, from neighbors in southern Japan. Substantial impacts of climate change were as high as socio-economic factors but different in degrees by regions. Also, future climate change estimated by the global climate model enlarged fluctuation degree in rice TFP because accumulative or cancel out effects of temperature and precipitation occurred year by year. Therefore, technological development in rice production and provision of precise climate prediction to farmers are important in order to ease and mitigate these influences.Keywords Crop model Á Hydrological model Á Rice total factor productivity (TFP) Á Spatial lag model Á Research and development activities JEL code C21 Á Q54 Á R11 Á R15

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Section: Literature Review and Scientific Questionsmentioning

confidence: 99%

Technological spillover in Japanese rice productivity under long-term climate change: evidence from the spatial econometric model

Kunimitsu

Kudo

Iizumi

et al. 2015

Paddy Water Environ

View full text Add to dashboard Cite

show abstract

“…The discussion on the sustainability of economic growth in China's post-reform economy has led to studies on China's productivity, using either growth accounting or stochastic frontier analysis (SFA) (Chen et al, 2009;Chen et al, 2008;Wu, 2000Wu, , 2003Wu, , 2004Hu and Khan, 1997;Woo, 1998;Mao and Koo, 1997;Borenstein and Ostry, 1996;Yang and Lahr, 2010). For example, the studies by Chow and Li (2002) and used investment figures to construct capital stock to estimate China's national total factor productivity (TFP) growth rates have been extended by Liu and Li (2006) and who incorporated the human capital variable and alternative investment data to examine both national and provincial TFP growth rates.…”

Section: Introductionmentioning

confidence: 99%

An analysis on technical efficiency in post-reform China

Zhou¹,

2011

China Economic Review

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Abstract:This paper employs a fully nonparametric stochastic frontier model with time and individual effects to study technical efficiency in China's post-reform economy. The panel data cover China's thirty provinces for the period of 1985-2008. The empirical results show that the average output elasticity of labor is larger than the other two inputs of capital and human capital. Based on the specified inefficiency Tobit model, the factor analysis on technical efficiency shows that the time effects of technical efficiency in China's post-reform economy are significantly contingent on the factors. There exists significant regional differences in technical efficiency in China's economic development, and a number of policy implications can be drawn.

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“…In other words, a rising contribution of total factor productivity (TFP) to economic growth is the only way to achieve sustainable growth [3]. Many studies analyze the sustainability of China's economic growth based on TFP via growth accounting [5,[10][11][12] or non-parametric methods [13]. In essence, these studies are based on the framework of productivity improvement.…”

Section: Literaturementioning

confidence: 99%

Green Development Performance in China: A Metafrontier Non-Radial Approach

Song

2016

Sustainability

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This paper proposes a green development growth index (GDGI) for measuring the changes in sustainable development over time. This index considers a wide range of pollutants, and allows for the incorporation of group heterogeneity and non-radial slack in the conventional green development index. The GDGI is calculated based on a non-radial directional distance function derived by several data envelopment analysis (DEA) models, and was decomposed into an efficiency change (EC) index, a best-practice gap change (BPC) index and a technology gap change (TGC) index. The proposed indices are employed to measure green development performance in 30 provinces in China from 2000 to 2012. The empirical results show that China has a low level of green development, with a 2.58% increase per year driven by an innovation effect. China's green development is mainly led by the eastern region, and the technology gaps between the eastern region and the other two regions (the central and western regions) have become wider over the years. The group innovative provinces have set a target for resource utilization of non-innovative provinces in order to catch-up with the corresponding groups, while the metafrontier innovative provinces provide targets for the technology levels of other provinces to improve their green development performance.

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Total factor productivity growth in China's agricultural sector

Cited by 177 publications

References 28 publications

Technological spillover in Japanese rice productivity under long-term climate change: evidence from the spatial econometric model

Technological spillover in Japanese rice productivity under long-term climate change: evidence from the spatial econometric model

An analysis on technical efficiency in post-reform China

Green Development Performance in China: A Metafrontier Non-Radial Approach

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