A panel data of 27 provinces in China is used to analyze the productivity growth in China's agricultural sector over the period 1984-1999. We first compute the output-orientated Malmquist productivity indexes and its decompositions using non-parametric DEA (Data Envelopment Analysis) approach. Tobit regressions are then used to identify the major determinants of TFP growth and its components
Economic reform in China helped transform the structure and volume of agricultural production and re...
Agricultural productivity growth in Chinese provinces during the 1994-2005 period is examined using ...
Economic reform in China helped transform the structure and volume of agricultural production and re...
This study applies a Data Envelopment Analysis (DEA) approach to analyze total factor productivity, ...
This study applies a Data Envelopment Analysis (DEA) approach to analyze total factor productivity, ...
Despite rapid industrialisation, agriculture remains an important source of livelihood for one third...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
This study uses nonparametric Malmquist procedures to investigate the temporal and spatial nature of...
This paper uses panel cointegration approach to estimate the agricultural total factor productivity ...
We examine regional total factor productivity growth in post-reform (1980-95) Chinese agriculture us...
This paper uses panel cointegration approach to estimate the agricultural total factor productivity ...
A nonparametric Malmquist index and a stochastic frontier translog production function are employed ...
A nonparametric Malmquist index and a stochastic frontier translog production function are employed ...
Agricultural productivity growth in Chinese provinces during the 1994-2005 period is examined using ...
Economic reform in China helped transform the structure and volume of agricultural production and re...
Agricultural productivity growth in Chinese provinces during the 1994-2005 period is examined using ...
Economic reform in China helped transform the structure and volume of agricultural production and re...
This study applies a Data Envelopment Analysis (DEA) approach to analyze total factor productivity, ...
This study applies a Data Envelopment Analysis (DEA) approach to analyze total factor productivity, ...
Despite rapid industrialisation, agriculture remains an important source of livelihood for one third...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
This study uses nonparametric Malmquist procedures to investigate the temporal and spatial nature of...
This paper uses panel cointegration approach to estimate the agricultural total factor productivity ...
We examine regional total factor productivity growth in post-reform (1980-95) Chinese agriculture us...
This paper uses panel cointegration approach to estimate the agricultural total factor productivity ...
A nonparametric Malmquist index and a stochastic frontier translog production function are employed ...
A nonparametric Malmquist index and a stochastic frontier translog production function are employed ...
Agricultural productivity growth in Chinese provinces during the 1994-2005 period is examined using ...
Economic reform in China helped transform the structure and volume of agricultural production and re...
Agricultural productivity growth in Chinese provinces during the 1994-2005 period is examined using ...
Economic reform in China helped transform the structure and volume of agricultural production and re...