Sources of Chinese labor productivity growth: A structural decomposition analysis, 1987–2005

Yang, Ling; Lahr, Michael L.

doi:10.1016/j.chieco.2010.05.012

Cited by 37 publications

(14 citation statements)

References 20 publications

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“…In addition, China's internal economic geography has been greatly influenced by the political reforms, globalization and trade liberalization over the past decades (Fujita and Hu, 2001). Yet, recent regional productivity analyses on China (e.g., Jiang 2011, Yang andLahr 2010) generally fail to exploit the distinctive characteristics of geographical data. By considering each region as an isolated and independent identity, they overlook regional dynamics, agglomeration and proximity effects.…”

Section: Introductionmentioning

confidence: 99%

The Spatial Dimension of Trade‐ andFDI‐driven Productivity Growth inChinese Provinces: A Global Cointegration Approach

Mitze

Özyurt²

2014

Growth and Change

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The working papers published in the Series constitute work in progress circulated to stimulate discussion and critical comments. Views expressed represent exclusively the authors' own opinions and do not necessarily refl ect those of the editors. Terms of use: Documents in Ruhr Economic Papers #308

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Section: Introductionmentioning

confidence: 99%

The Spatial Dimension of Trade‐ andFDI‐driven Productivity Growth inChinese Provinces: A Global Cointegration Approach

Mitze

Özyurt²

2014

Growth and Change

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“…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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“…The biproportional-adjustment technique RAS is commonly used, at least in academic literature, toward such ends [38]. For the deflators, please see [39]. The 1997 MRIO table was published in 2005.…”

Section: Deflation Of Tablesmentioning

confidence: 99%

The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007

Yang

Lahr

2019

Sustainability

Self Cite

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Using three official multiregional input–output tables and carbon emission data, we decompose the change in carbon emission for eight regions of China between 1997 and 2007. We do so according to the following seven partial effects: (i) Changes in energy end-use structure, (ii) effect of energy intensity, (iii) the added value’s share of gross output, (iv) changes in sub-industry structure, (v) changes in the substitution of import for intermediate inputs, and changes in (vi) structure and (vii) level of final demand. We find energy intensity contributes most to CO2 abatement throughout China, while other factors vary widely across the different regions. We suggest that governments consider regional disparity and CO2 flows when formulating policies; structural change with an eye toward energy-savings and general efficiency improvements, like better insulated buildings, are among measures we deem effective.

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Sources of Chinese labor productivity growth: A structural decomposition analysis, 1987–2005

Cited by 37 publications

References 20 publications

The Spatial Dimension of Trade‐ andFDI‐driven Productivity Growth inChinese Provinces: A Global Cointegration Approach

The Spatial Dimension of Trade‐ andFDI‐driven Productivity Growth inChinese Provinces: A Global Cointegration Approach

An analysis on technical efficiency in post-reform China

The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007

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