Sekyi Samuel
Samuel Sekyi holds Master of Philosophy degree in Economics from the University of Cape Coast, Ghana. He currently lectures at University for Development Studies, Ghana. He has published in both local and international peer-reviewed journals. His main areas of expertise and interest include Microeconometrics, health economics, development economics, trade, and agricultural financing.
less
Related Authors
Getnet A L E M U Zewdu
Addis Ababa University
Shehrin Mahmood
International Centre for Diarrhoeal Disease Research, Bangladesh
Uploads
Papers by Sekyi Samuel
productivity in the Northern Savannah ecological zone of Ghana.
Design/methodology/approach – Secondary data from Ghana Feed the Future baseline survey
involving a total sample of 2,968 farm households were used. The conditional mixed process (CMP) framework was applied to estimate access to credit, credit constraint, and productivity simultaneously. As a system estimator, the CMP corrects for possible heterogeneity and sample selection bias.
Findings – The results from the estimations revealed that age, literacy, farm non-mechanized equipment,
and group membership were the variables influencing farmers’ access to credit. Credit constraint conditions
were determined by household size, locality, group membership, and household durable assets. Finally, the results showed that the productivity of farmers was dependent on marital status, household size, locality, farm
size, commercialization, farm mechanized equipment, group membership, and household durable assets.
Originality/value – This paper is the first, to the best of the authors’ knowledge, to use the CMP framework
to jointly estimate access to credit, credit constraint, and productivity. The results indicate that estimating
credit access and constraint models separately would have yielded biased estimates. Thus, this paper informs
future research on farmers’ credit access, credit constraint, and productivity for informed policymaking.
Keywords Ghana, Productivity, Conditional mixed process, Credit access, Credit constraint
Paper type: Research paper
productivity in the Northern Savannah ecological zone of Ghana.
Design/methodology/approach – Secondary data from Ghana Feed the Future baseline survey
involving a total sample of 2,968 farm households were used. The conditional mixed process (CMP) framework was applied to estimate access to credit, credit constraint, and productivity simultaneously. As a system estimator, the CMP corrects for possible heterogeneity and sample selection bias.
Findings – The results from the estimations revealed that age, literacy, farm non-mechanized equipment,
and group membership were the variables influencing farmers’ access to credit. Credit constraint conditions
were determined by household size, locality, group membership, and household durable assets. Finally, the results showed that the productivity of farmers was dependent on marital status, household size, locality, farm
size, commercialization, farm mechanized equipment, group membership, and household durable assets.
Originality/value – This paper is the first, to the best of the authors’ knowledge, to use the CMP framework
to jointly estimate access to credit, credit constraint, and productivity. The results indicate that estimating
credit access and constraint models separately would have yielded biased estimates. Thus, this paper informs
future research on farmers’ credit access, credit constraint, and productivity for informed policymaking.
Keywords Ghana, Productivity, Conditional mixed process, Credit access, Credit constraint
Paper type: Research paper