scholarly journals Total factor productivity growth in China's agricultural sector

2008 ◽  
Vol 19 (4) ◽  
pp. 580-593 ◽  
Author(s):  
Po-Chi CHEN ◽  
Ming-Miin YU ◽  
Ching-Cheng CHANG ◽  
Shih-Hsun HSU
2018 ◽  
Vol 10 (1) ◽  
pp. 16 ◽  
Author(s):  
Morteza Tahamipour ◽  
Mina Mahmoudi

This study provides the theoretical framework and empirical model for productivity growth evaluations in agricultural sector as one of the most important sectors in Iran’s economic development plan. We use the Solow residual model to measure the productivity growth share in the value-added growth of the agricultural sector. Our time series data includes value-added per worker, employment, and capital in this sector. The results show that the average total factor productivity growth rate in the agricultural sector is -0.72% during 1991-2010. Also, during this period, the share of total factor productivity growth in the value-added growth is -19.6%, while it has been forecasted to be 33.8% in the fourth development plan. Considering the effective role of capital in the agricultural low productivity, we suggest applying productivity management plans (especially in regards of capital productivity) to achieve future growth goals.


2016 ◽  
Vol 63 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Onyumbe E. Lukongo ◽  
Jon P. Rezek

This study improves our understanding of the spatial dependence and spillovers of war on the agricultural sector productivity. The results provided here represent the first attempt in the literature to identify the total factor productivity impacts of war in Africa. War disrupts the agricultural sector in the affected country and its borders through loss of capitals, deaths of experienced farmers, disease, insecurity, and dislocation. A war may reduce productivity in a given country—a reduction of agricultural productivity by 0.41% and 0.40% in Congo and Angola, respectively. But its real effects, which are overlooked by alternative modeling strategies, are larger. JEL Classifications: C21, O11, O43, D24


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