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The purpose of this paper is to investigate factors affecting the adoption of agricultural technologies in Sub-Saharan Africa, specifically the role of credit market inefficiency in adoption of agricultural technologies in the region.

Most importantly, the paper applies a 2SLS model on a unique data set on nine agrarian countries from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to provide evidence on how credit market inefficiency affects adoption of technologies in the sub region.

The study finds that the relationship between credit and technology adoption is one-way causal relation (i.e. credit access leads to technology adoption) as opposed to a two-way relation (i.e. mutual dependent relation). Further, the results indicate that credit market inefficiency can be a major barrier to the adoption of yield enhancing technologies in Sub-Saharan Africa. Further, the study showed mixed results for household variables. The results give credence to studies that highlight the importance of infrastructure and risk control in the adoption of new technologies.

The study is limited to only nine countries in Sub-Saharan Africa. Thus, the findings and interpretations should be considered as such. Further, there is the need for further research that considers all the region so as to establish whether or not there is a relationship between credit market inefficiencies and technology adoption in the region.

The policy implication is that microfinance institutions should consider scaling up their credit services to ensure that more households benefit from it, and in so doing technology adoption will be enhanced.

The main contribution of the study lies in its use of a unique data set from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to investigation relationship between credit market inefficiency and technology adoption.

The purpose of this paper is to investigate the impact of financial inclusion on the enhancement of paddy farmers’ technical efficiency (TE). The impact was evaluated rigorously from different dimensions which could be useful in the policy discussion for enhancing efficiency in utilizing productive resources.

A cross-sectional data of randomly selected 120 paddy farmers from Khulna district in the Southwest region of Bangladesh were collected for this study. Initially, a stochastic production frontier approach was used for estimating farmers’ TE. Thereafter, ordinary least squares and quantile regression models were applied for unveiling the existing relationship between TE and various dimensions of financial inclusion after controlling all other socio-economic characteristics.

The study findings revealed that farmers were around 86 percent technically efficient and amongst them, credit takers were more efficient than non-credit takers. A non-monotonic relationship between TE and amount of credit was observed where TE was maximized at amount around 20,000 Bangladeshi Taka (USD255), a medium credit in terms of its amount. In addition, credit literacy was identified as a significant factor for improving TE. Though difference in the choice of sources for accessing credit had little impact on mean TE, its effect was found significantly higher for low scored technically efficient farmers compared to high scored farmers.

The policy toward widening the coverage of financial inclusion would be more effective than providing larger amount of credit to a limited number of farmers for improving their TE.

Such an in-depth assessment of the impact of financial inclusion on TE is probably the first effort in the Khulna district of Bangladesh.

This article investigates concentration, efficiency, and profitability of commercial banks operating in Saudi Arabia, which is considering acceding to the World Trade Organisation whose rules on financial services liberalisation could pose a competitive challenge to local banks. We use regression analysis to investigate the underlying determinants of Saudi bank concentration, efficiency, and profitability. The significance of the study stems from the conventional premise that highly concentrated banking or credit market introduces inefficiencies that would harm firms’ access to credit thus hindering economic growth. If banks were found to be highly concentrated and hence inefficient, then the relevant policy question that should be addressed by Saudi Arabian policy makers is what should be done to alleviate the situation. Empirical results show that Saudi banking market is highly concentrated, and healthy competition through the Saudi adoption of corrective measures would ease the problem. The Saudi government may like to consider concurrently joining the WTO, and allow non‐banking institutions to enter into brokerage business, offer financial products and services (investment banking, brokerage, and portfolio management), and compete with commercial banks through fair participation in auctioning of government securities.

The purpose of this paper is to study the production and efficiency of rice growers in drought prone areas with special attention given to economic and financial factors.

The authors use a parametric stochastic frontier approach and a non-parametric data envelopment analysis.

The study found that financial and liquidity constraints negatively influence production efficiency while off-farm work positively influences efficiency in drought prone areas.

Many biotic and abiotic factors affect the production efficiency of rice growers. Among abiotic stress, drought is the strongest constraint affecting nearly one third of the total rice area in Asia and causing significant economic losses. Farmers’ economic conditions and financial constraints further exacerbate the situation. However, very few studies have analyzed the efficiency in drought prone areas and the influence of economic and financial factors. This study contributes to in this regard by augmenting economic and financial factors in the efficiency estimation of drought prone areas using parametric and non-parametric approach.

The purpose of this paper is to present a discussion on the idea of “policy rationing”. Policy rationing refers to constraining impacts on farm credit through policy action or inaction. To present the ideas the author discusses ten themes in policy rationing, ranging from macro‐finance policies to smart lending and financial inclusion.

The paper is developed as a narrative on agricultural credit policies based largely on existing literature.

This paper argues that the various critiques of rural credit policy in favor of free market principles have generally not worked in developing economies. Large numbers of farmers do not have access to formal credit. It is argued that there is a role for government and credit programs.

The opinions expressed in this paper are based on existing literature and not all ideas hold with general agreement across researchers and practitioners. The discussion is not exhaustive and in some cases the ideas might have been parsed further.

In this paper the author discusses ten themes that he thinks are relevant for a balanced discussion of farm credit in a development context. These themes illustrate a variety of complexities with respect to rural credit policy. The author ends by restating the themes in the form of ten questions that should be asked in whole, or in part, before any farm credit policy is field‐implemented.

This paper deals with a broad range of issues on rural credit policy. It is directed towards a reformation of ideas about credit policy, especially in developing economies. It is argued that, all things considered, on balance there is a role for government in rural credit policy.

There is much discourse amongst development economist about the role of government and credit policy in agricultural development. By thinking of government action or inaction as a form of policy rationing, some clarification is brought to the policy debate.

The purpose of this paper is to explore the impact of banking concentration on firm leverage in 21 major emerging countries from different geographical regions, controlling for firm determinant and macroeconomic determinant of firm leverage.

This study is based on a relatively large sample of 5,779 enterprises with total 48,280 numbers of observations over the period from 2006 to 2013 and the regression model is performed by applying two-step system general method of moment estimator methodology.

This study finds a positive and significant relationship between banking concentration and firm leverage. Therefore, the overall results follow the information-based theory which indicates lower firms financing obstacles as banks are more concentrated.

Bank-level data of all the countries to measure banking concentration is until 2013, which restrict the empirical analysis until 2013. Also, the study conducts the analysis.

The study enables policymakers, society, and academics to have better understanding on the beneficial effects of alternative banking market structure on firms’ access to credit and therefore, in determining the level of firm leverage in emerging countries.

The study represents one of the limited available empirical researches to examine the beneficial effect of alternative banking market structures of firm leverage in emerging countries.

The purpose of this paper is to investigate how entrepreneurs demand for external finance changed as the economy continued to be mired in its third and fourth years of the global financial crisis (GFC) and whether or not external finance has become more difficult to access as the recession progressed.

Using a large-scale survey data on over 30,000 UK small- and medium-sized enterprises between July 2011 and March 2013, the authors estimate a series of conditional probit models to empirically test the determinants of the supply of, and demand for external finance.

Older firms and those with a higher risk rating, and a record of financial delinquency, were more likely to have a demand for external finance. The opposite was true for women-led businesses and firms with positive profits. In general finance was more readily available to older firms post-GFC, but banks were very unwilling to advance money to firms with a high-risk rating or a record of any financial delinquency. It is estimated that a maximum of 42,000 smaller firms were denied credit, which was significantly lower than the peak of 119,000 during the financial crisis.

This paper provides timely evidence that adds to the general understanding of what really happens in the market for small business financing three to five years into an economic downturn and in the early post-GFC period, from both a demand and supply perspective. This will enable the authors to consider what the potential impacts of credit rationing on the small business sector are and also identify areas where government action might be appropriate.

This paper aims to examine how financial development affects the growth of industries that are more dependent on external finance, demystifying the roles played by the banks, stock and bond markets.

The authors apply panel fixed-effects and dynamic panel generalized methods of moments on disaggregated industry-level data of the Indian manufacturing sector for the period of 2001-2015 to examine the relationship between financial development, banking market structure and economic growth.

The study finds that financial development has a significant impact on the growth process by reducing cost of external finance. Among the three sources of finance, the study finds that while the banking sector has been the most preferred source of external finance, increasing concentration and selective disbursement of credit have continued to dent the prospects of the industry. This paradoxical result explains the dismal performance of the Indian manufacturing sector.

The effect of financial development (encompassing banking market structure) on economic growth has received sparing attention. Related literature is unclear regarding the impact of banking market structure on the growth process in the context of emerging economies. The authors attempt to fill this important gap in the literature. Moreover, they add novelty to the literature by calculating the external dependence at the firm level, diverging from using US industry as a proxy for calculation of external dependence.

The degree and impact of competitiveness in the banking sector is of great importance as this has great impact on the financial system and the wider economy. A question of interest here is, does competition in the commercial banking sector boost or hamper economic growth. The purpose of this paper is to test the hypothesis that competitiveness in commercial banking is linked to economic growth.

The authors use the Boone (2008) indicator to estimate competitiveness of banking markets in ten frontier countries in Africa from 2005 to 2012. This model measures banking competitiveness by assessing the relationship between relative marginal costs and relative market share. Through a panel data model, the authors examine the effect banking sector competitiveness has on economic growth.

The results of Boone (2008) indicator suggest that, to a greater extent, banks in the countries studied have a competitive banking sector. The results of the panel data estimation support the hypothesis that banking sector competition impacts positively on economic growth.

The paper recommends for more policy geared towards enhancing bank competition. This is because competitive banking system will allocate resources more efficiently to improve economic growth.

To the best of the authors’ knowledge, this is the first study to test the link between bank competition and economic growth in a cross-section of Frontier African countries.

The purpose of this paper is to examine farmers’ access to credit, credit constraint, and productivity in the Northern Savannah ecological zone of Ghana.

Secondary data from the 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.

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 productivity of farmers was dependent on marital status, household size, locality, farm size, commercialization, farm mechanized equipment, group membership, and household durable assets.

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.