Does China have a grain problem? An empirical analysis

Oxford Development Studies

Volumn 29, Issue 1, 2001, Pages 45-55

  Kalirajan, K P ^a   Huang, Y ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL PERFORMANCE; CROP PRODUCTION; EFFICIENCY MEASUREMENT; GRAIN CROP;

CHINA;

EID: 0035116801     PISSN: 13600818     EISSN: None     Source Type: Journal    
DOI: 10.1080/13600810123894     Document Type: Article

References (27)

1. Formulation and estimation of stochastic frontier production function models
2. A simple test for heteroscedasticity and random coefficient variation
3. Extrapolating Trends from Long-term Experiments to Farmers Fields: The Case of Irrigated Rice Systems in Asia
4. Effects of technological change and institutional reform on production growth in Chinese agriculture
5. Estimating actual response coefficients in the Hildreth-Houck random coefficient model
6. The Evolution of Grain Distribution System in China
7. Some estimators for a linear model with random coefficients
8. Environmental stress and grain yields in China
9. Technological change: Rediscovering the engine of productivity growth in China's rural economy
10. Does China have a grain problem?
11. A note on non-conventional inputs and conventional productivity functions
12. Frontier production function: The stochastic coefficients approach
13. A decomposition of total factor productivity growth: The case of Chinese agricultural growth before and after reforms
14. An analysis of production as an efficient combination of Activities
15. The household responsibility system in reform in China: A peasant's institutional choice
16. Rural reforms and agricultural growth in China
17. Grain yield potential and prospect for output increase in China
18. The impact of China's economic reforms on agricultural productivity growth
19. Efficiency estimation from Cobb-Douglas production functions with composed error
20. Income distribution in a dynamic rural sector
21. Intra-firm diffusion, Bayesian learning and profitability