scholarly journals The Agricultural Productivity Gap in Developing Countries

Author(s):  
Douglas Gollin ◽  
David Lagakos ◽  
Michael E. Waugh

2013 ◽  
Vol 129 (2) ◽  
pp. 939-993 ◽  
Author(s):  
Douglas Gollin ◽  
David Lagakos ◽  
Michael E. Waugh

Abstract According to national accounts data, value added per worker is much higher in the nonagricultural sector than in agriculture in the typical country, particularly in developing countries. Taken at face value, this “agricultural productivity gap” suggests that labor is greatly misallocated across sectors. In this article, we draw on new micro evidence to ask to what extent the gap is still present when better measures of sector labor inputs and value added are taken into consideration. We find that even after considering sector differences in hours worked and human capital per worker, as well as alternative measures of sector output constructed from household survey data, a puzzlingly large gap remains.





1998 ◽  
Vol 19 (1-2) ◽  
pp. 45-51 ◽  
Author(s):  
L Fulginiti


2015 ◽  
Vol 3 (2) ◽  
pp. 16-23
Author(s):  
Nir Kshetri

Cloud computing and big data applications are likely to have far-reaching and profound impacts on developing world-based smallholder farmers. Especially, the use of mobile devices to access cloudbased applications is a promising approach to deliver value to smallholder farmers in developing countries since according to the International Telecommunication Union, mobile-cellular penetration in developing countries is expected to reach 90% by the end of 2014. This article examines the contexts, mechanisms, processes and consequences associated with cloud computing and big data deployments in farming activities that could affect the lives of developing world-based smallholder farmers. We analyze the roles of big data and cloud-based applications in facilitating input availability, providing access to resources, enhancing farming processes and productivity and improving market access, marketability of products and bargaining power for smallholders. In the developing world’s context, an even bigger question than that of whether agricultural productivity can be improved by using cloud computing and big data is who is likely to benefit from the growth in productivity. The paper analyzes the conditions under which at agricultural productivity associated with the utilization cloud computing and big data applications in developing countries may benefit smallholder farmers. Also investigated in the paper are important privacy and ethical issues involved around cloud computing and big data. While some analysts view that people in developing countries do not need privacy, the paper challenged this view and points out that data privacy and security issues are even more important to smallholder farmers in developing countries.



2020 ◽  
Vol 65 (supp01) ◽  
pp. 161-183
Author(s):  
UNAL SEVEN ◽  
SEMIH TUMEN

We present cross-country evidence suggesting that agricultural credits have a positive impact on agricultural productivity. In particular, we find that doubling agricultural credits generates around 4–5% increase in agricultural productivity. We use two different agricultural production measures: (i) the agricultural component of GDP and (ii) agricultural labor productivity. Employing a combination of panel-data and instrumental-variable methods, we show that agricultural credits operate mostly on the agricultural component of GDP in developing countries and agricultural labor productivity in developed countries. This suggests that the nature of the relationship between agricultural finance and agricultural output changes along the development path. We conjecture that the development of the agricultural finance system generates entry into the agricultural labor market, which pushes up the agricultural component of GDP and keeps down agricultural labor productivity in developing countries; while, in developed countries, it leads to labor-augmenting increase in agricultural production. We argue that replacement of the informal credit channel with formal and advanced agricultural credit markets along the development path is the main force driving the labor market response.



2012 ◽  
Vol 8 (1) ◽  
pp. 1-48 ◽  
Author(s):  
Ruth Hall ◽  
Donna Hornby ◽  
Steven Lawry ◽  
Aaron Leopold ◽  
Farai Mtero ◽  
...  


2014 ◽  
Vol 10 (1) ◽  
pp. 1-104 ◽  
Author(s):  
Steven Lawry ◽  
Cyrus Samii ◽  
Ruth Hall ◽  
Aaron Leopold ◽  
Donna Hornby ◽  
...  


2016 ◽  
Vol 9 (1) ◽  
pp. 61-81 ◽  
Author(s):  
Steven Lawry ◽  
Cyrus Samii ◽  
Ruth Hall ◽  
Aaron Leopold ◽  
Donna Hornby ◽  
...  


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