Agricultural productivity differences and credit market imperfections

Nishida, Keigo

doi:10.1080/09638199.2013.812135

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…However, credit was found to exert a positive impact on agriculture productivity in West Africa, suggesting that better credit market conditions lead to an increase in agriculture value added per worker. This is in line with the findings of Nishida (2014) that the development of credit markets enables more workers to acquire skills to work in non-agriculture sectors. This could also explain the negative coefficient of labour observed in our results.…”

Section: Resultssupporting

confidence: 91%

Impact of credit market conditions on agriculture productivity in Sub-Saharan Africa

Shuaibu

Nchake

2021

AFR

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PurposeThis study conducts an empirical analysis of the relationship between credit market conditions and agriculture output in Sub-Saharan Africa.Design/methodology/approachThis paper uses a two-stage least square instrumental variable and difference generalised method of moments dynamic panel model because potential reverse causation and endogeneity are addressed.FindingsThe findings show that better credit market conditions contribute to agriculture productivity. The results also show that better infrastructure and availability of agriculture inputs are associated with productivity improvements. The empirical results are robust when an alternative measure of agriculture productivity is used.Research limitations/implicationsAn important research agenda for future studies will be to consider alternative measures of credit market conditions and other intervening variables that influence the nexus. Besides, other methods that account for cross-sectional dependence could also be considered as the impact of credit on agriculture varies across the sub-regions.Practical implicationsThe findings make a case for enhancing credit market access to boost agriculture productivity. There is also a need to implement financial education programs for farmers and ensuring continuous engagement with farmers.Originality/valueAlthough the issue of agriculture finance has been well documented in the literature, few studies have estimated the elasticity of agriculture productivity to changes in credit conditions. Also, our consideration of the intervening role of infrastructure amongst others is an area that has remained relatively unexplored.

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Section: Resultssupporting

confidence: 91%

Impact of credit market conditions on agriculture productivity in Sub-Saharan Africa

Shuaibu

Nchake

2021

AFR

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“…Baležentis et al (2020) also suggested that policies to improve land productivity, land-use intensity, and the mobility of agricultural labor should be introduced to enhance China's agricultural labor productivity. Agricultural capital or subsidy inputs can improve agricultural production conditions (Nishida, 2014;Garrone et al, 2019), and also accelerate the use of capital to replace labor (Sheng et al, 2016), which in turn accelerates improvements in labor productivity (Caunedo & Keller, 2021). The labor supply can be affected by immigration policies, which not only redistribute labor between agriculture and nonagriculture (Emerick, 2018;Wang & Benjamin, 2019), but also affect the demand for low-skilled workers in labor-intensive agriculture (Devadoss et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Regional Diversity and Evolution of Agricultural Labor Productivity in China

Biao-wen¹,

Tu²,

Ka³

et al. 2023

Journal of Chinese Human Resource Management

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Analyzing the regional diversity and convergence of agricultural labor productivity is an important step in investigating this aspect of the economy. To enhance urban-rural integration, the Gini coefficient and kernel density estimation methods are used to examine regional agricultural labor productivity in China. The overall regional diversity in agricultural labor productivity is found to be expanding, with regional differences being the primary source of the overall disparity. Agricultural labor productivity in China has continued to improve over the period considered in this study. The gap between agricultural labor productivity in the eastern and western regions is found to be lower than that between the eastern and central regions and the western and central regions. Although there is no σ -convergence to agricultural labor productivity in China, both absolute and conditional β -convergence are observed. A spatial lag model indicates that agricultural labor productivity has a significant positive spillover effect. GDP per capita and the level of marketization make significant contributions to the convergence of agricultural labor productivity, and the level of industrialization significantly reduces the agricultural labor productivity gap.

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Does the stability of farmland rental contract & conservation tillage adoption improve family welfare? Empirical insights from Zhangye, China

Aziz

2021

Land Use Policy

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Agricultural productivity differences and credit market imperfections

Cited by 6 publications

References 26 publications

Impact of credit market conditions on agriculture productivity in Sub-Saharan Africa

Impact of credit market conditions on agriculture productivity in Sub-Saharan Africa

Regional Diversity and Evolution of Agricultural Labor Productivity in China

Does the stability of farmland rental contract & conservation tillage adoption improve family welfare? Empirical insights from Zhangye, China

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