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The study assesses the relationship between institutional credit access and farmer satisfaction using contextual mediating and moderating variables. This study identifies various socioeconomic, service features and service quality determinants impacting institutional credit access.

The authors used the stratified random sampling method and selected 512 farmers from 40 villages in Maharashtra, India. Initially, the study employed probit regression analysis to identify the credit adoption determinants. Subsequently, the relationship between institutional credit and farmer satisfaction is identified through moderated-mediation analysis using the Statistical Package for the Social Sciences and Analysis of a Moment Structures (SPSS - AMOS model).

Probit model's results suggest that socioeconomic variables like education and bank distance; service quality variables like prompt service and employee behavior; and service characteristics variables like the interest rate, loan sanction time, repayment period, and documents for loan application significantly affect institutional credit adoption across the smallholders. Subsequently, the results of the moderating-mediation analysis show that working capital, perceived value and risk perception partially mediate the association between credit adoption and farmer satisfaction. The mediated effects are further moderated by farm advisory services and financial knowledge and skills.

The study is restricted in opportunity due to primary data, and it considers only farmers' perspectives to measure service quality and service features as constraints for institutional credit access.

The government, nongovernment organizations, civil societies and private institutions should provide sufficient financial knowledge and training to the farmers via extension services to utilize the borrowed capital effectively to bring economic welfare and mental satisfaction.

The existing literature rarely considered banking service quality and service features (demand side) variables as determinants of credit access. Further, the study brings novelty in examining how the capital management cognitive factors of the formal credit adopters influence the relationship between credit access and satisfaction.

Using a unique dataset of a commercial microfinance institution (MFI) in Madagascar, the purpose of this paper is to investigate how credit access probabilities and loan volume rationing magnitudes for farmers change if the MFI switches to offer flexible microfinance loans, which can account for agricultural production specifics.

The authors estimate probit models for the probability of receiving a loan and Heckman models to investigate the magnitude of volume rationing for all micro loan applications and disbursements of the MFI, differentiating between farmers with standard microfinance loans and farmers with flexible microfinance loans.

The results reveal that agricultural firms with flexible microfinance loans have significantly higher credit access probabilities than non‐agricultural firms and agricultural firms with standard microfinance loans. Furthermore, it was found that agricultural firms with flexible microfinance loans are stronger volume rationed than non‐agricultural firms and agricultural firms with standard microfinance loans.

Even if the authors can show that access to credit for agricultural firms in Madagascar can be enhanced by the provisioning of flexible microfinance loans, the investigated MFI only introduced flexible microfinance loans in 2011 and currently only offers them through five branch offices. Thus, the product is new to the MFI, and results might change with increasing outreach to other geographic regions in Madagascar. Furthermore, the conditions for agricultural production in Madagascar are unique, and the results might change in different country contexts.

The paper's findings suggest that flexible microfinance loans can contribute to the financial inclusion of farmers with seasonal production types. They also suggest that standard microfinance loans seem to be adequate for farmers with less seasonal production types, e.g. animal husbandry.

To the best of the authors' knowledge, this is the first paper to investigate the effects of flexible microfinance loan provision for credit access of small agricultural firms in developing countries in general, and in Madagascar in particular.

This paper is an attempt to understand the pattern of credit among agricultural households in Eastern India and to identify the correlates of their access to institutional credit for policy imperatives.

The study uses unit-level data from the All-India Debt and Investment Survey of the 59th and 70th rounds of the National Sample Survey Office for the years 2002–2003 and 2012–2013. Cragg's double-hurdle model and the Heckman selection model are used to estimate the determinants of access to and the amount of institutional loans taken by households. These models also account for potential selection bias in the findings.

The study reveals that access to credit is strongly associated with the socioeconomic and demographic characteristics of agricultural households. However, about half of the farmers in the eastern states of India lack access to institutional credit despite the government's attempts to include them in the ambit of formal financial services. Thus, strategies for developing agriculture in Eastern India must include efforts to bring small and marginal farmers under the coverage of institutional credit.

These data are based on the responses given by the sample households and not the experimental data. The data pertain to the year 2013.

The findings emphasize that strategies for developing agriculture in Eastern India must give special push to enhance small and marginal farmers' access to institutional credit.

The Government of Pakistan has allocated a substantial proportion of agricultural credit to subsistence farmers. The purpose of this paper is to analyze farmers’ access to credit and its adequacy in the light of current agricultural credit policy of Pakistan.

The study has used both secondary and primary data for analysis. Secondary data were collected from the annual reports of Pakistan Economic Survey and State Bank of Pakistan. Primary data were collected from 168 subsistence farmers through households’ survey. Farmers’ credit access and credit adequacy were measured using credit access ratio and credit adequacy ratio, respectively. The Student’s t-test and analysis of variance were used to assess the differences in credit access and adequacy among farmers’ groups (i.e. upper, medium and lower subsistence farmers). Tobit regression model was employed to determine the factors influencing credit adequacy among farmers.

The empirical results revealed that the amount of credit provided to subsistence farmers was less than stated in the national agricultural credit policy. Upper subsistence farmers had more access to credit than lower and medium subsistence farmers. Lower subsistence farmers had above average access to informal sources of credit, and had below average access to formal sources. The findings also revealed that lower subsistence and medium subsistence farmers had the highest credit inadequacy of funds for investment in agriculture. The results of the Tobit regression revealed that age, education, experience, household size, total landholding of farmer and proportion of own land influenced the agricultural credit adequacy.

Most of the credit was distributed among the upper subsistence farmers. Lower subsistence farmers were still largely dependent on informal credit for farm production activities. The Government of Pakistan performed poor in the implementation of agricultural credit policy, and has failed to help subsistence farmers in their access to formal credit. It is needed to revamp the agricultural credit policy and facilitate credit acquisition by subsistence farmers, particularly for tenant farmers. It is important that the Government may classify the subsistence farmers into subgroups, and reallocate the funds accordingly. This study has lessons and implications for agricultural finance initiatives in developing countries.

Previous studies have focused primarily on access to agricultural credit. However, this study has adopted a holistic approach by using secondary and primary data to assess the farmers’ access to credit and adequacy. In addition, limited literature is available to explore the farmers’ accessibility and adequacy of agricultural credit. Furthermore, this study has focused exclusively on the farmers who are living in the flood-prone areas of Pakistan.

The purpose of this study is to evaluate if access to local branch infrastructure of the farm credit system institutions (FCS), banks and credit unions (BCU), and alternative financial services (AFS) providers is related to the use of credit from non-traditional lenders (NTLs). The focus is on beginning and women operators who are typically credit constrained and thus more likely to suffer from closures of bank branches and consolidation of traditional agricultural lenders.

Informed by Detragiache et al. (2000), the authors specify farmers’ use of loans as a function of their access to credit (measured by the branch density of each lender type) along with operator’s and operation’s controls. The measures of loans by NTLs (number, use, share and lender type) require the use of Poisson, Probit, Tobit and Multinomial Logit techniques. This study utilizes individual producer data from the 2018 Agricultural Resource Management Survey and 2018 county-level branch density data for FCS, BCU and AFS providers.

Access to credit from FCS is helpful to BFRs only, while access to AFS is associated with the use of loans from NTLs by women but not by BFRs. As expected, access to BCU credit matters for the use of loans from NTLs, with a complementary effect for BFRs but a substitution effect for women’s use of such loans.

There are no studies on local agricultural credit markets in the US that evaluate the implications from changes in access to credit on credit-constrained borrowers and their use of NTLs’ credit.

A review of literature has documented that accessing formal credit and other banking services has always been a crucial challenge for small and medium-sized enterprises (SMEs). The alternative, therefore, tends to be informal channels. However, the credit constraint vis-à-vis informal channel link does not appear to be well documented in the literature. This study aims to investigate whether credit constraints significantly affect the probability of accessing informal credit, as well as the credit values of Vietnamese SMEs.

This study uses a trinary approach and correlated random-effects Probit and Tobit techniques to avoid the incidental coefficients problem.

The results suggest that relative to unconstrained and partially constrained firms, fully constrained firms tend to be more active in the informal credit markets, shown by their higher probability of informal credit access and larger credit values.

To the best of authors’ knowledge, this is the first study on Vietnam that takes a different approach to credit constraints and examines their impact on informal credit access. Policy implications arise and are discussed.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2017-0543

By drawing upon institutional theory, the purpose of this paper is to investigate the role of four critical resources (credit, electricity, contract enforcement and political governance) in explaining the quality of entrepreneurship and the depth of the supporting entrepreneurship ecosystem in Africa.

A quantitative approach based on ordinary least squares regression analysis was used. Three data sources were employed. First, the Global Entrepreneurship Index (GEI) of 35 African countries was used to measure the quality of entrepreneurship and the depth of the entrepreneurial ecosystem in Africa which represents the dependent variable. Second, the World Bank’s data on access to credit, electricity and contract enforcement in Africa were also employed as explanatory variables. Third, the Ibrahim Index of African Governance was used as an explanatory variable. Finally, country-specific data on four control variables (GDP, foreign direct investment, population and education) were gathered and analysed.

To support entrepreneurship development, Africa needs broad financial inclusion and state institutions that are more effective at enforcing contracts. Access to credit was non-significant and therefore did not contribute to the dependent variable (entrepreneurship quality and depth of entrepreneurial support in Africa). Access to electricity and political governance were statistically significant and correlated positively with the dependent variables. Finally, contract enforcement was partially significant and contributed to the dependent variable.

A lack of GEI data for all 54 African countries limited this study to only 35 African countries: 31 in sub-Saharan Africa and 4 in North Africa. Therefore, the generalisability of this study’s findings to the whole of Africa might be limited. Second, this study depended on indexes for this study. Therefore, any inconsistencies in the index aggregation if any could not be authenticated. This study has practical implications for the development of entrepreneurship in Africa. Public and private institutions for credit delivery, contract enforcement and the provision of utility services such as electricity are crucial for entrepreneurship development.

The institutional void is a challenge for Africa. This study highlights the weak, corrupt nature of African institutions that supposedly support MSME growth. Effective entrepreneurship development in Africa depends on the presence of a supportive institutional infrastructure. This study engages institutional theory to explain the role of institutional factors such as state institutions, financial institutions, utility providers and markets in entrepreneurship development in Africa.

The purpose of this paper is to investigate the relationship between commercial bank lending terms, financial literacy and access to formal credit by small and medium enterprises (SMEs).

In this cross-sectional study, the authors surveyed 384 business owners or managers of SMEs in Uganda. The authors applied confirmatory factor analysis to reduce the number of factors and identify the important elements that capture commercial lending terms, financial literacy and access to formal credit. The authors put forward and tested two hypotheses relating to the significance of the relationship between perceived commercial bank lending terms, financial literacy and access to formal credit using structural equation modelling with analysis of moment structures 18.

The results suggest a positive and significant relationship between perceived commercial bank lending terms, financial literacy and access to formal credit. Moreover, the ANOVA results serendipitously show that access to formal credit varies with type of business and turnover. However, collateral and loan repayment periods are not observed variables for commercial bank lending terms. The most significant observed variable for commercial bank lending terms is interest rates. This, together with financial literacy, explains 31 per cent of the variances in access to formal credit by SMEs in Uganda.

The study is limited to the SME firms registered and operating in Kampala, Uganda and it is possible that the results are only applicable to these firms in Uganda. Nevertheless, the findings have implications to commercial banks wishing to improve the turnover of their micro-lending schemes.

Efforts by the stakeholders to improve financial literacy of SMEs owners and managers must be matched with favourable interest rates if access to formal credit is to be enhanced.

The findings also have implications for governments aiming at improving access to finance to overcome income inequality problems, and also improve their growth.

The results provide initial evidence of the aggregate explanatory power of interest rates and financial literacy for the criterion variable, access to formal credit by SMEs.

The purpose of this paper is to investigate the impact of access to credit and safety nets on fertilizer adoption in rural Ethiopia.

A panel data set collected in 2005 and 2007 on 278 households and over 5,700 plots from the Southern Highlands of Ethiopia is examined. The authors developed a theoretical model relating input use and credit contract under third-party credit collateral agreement. The estimation is based on instrumental variables regressions to account for the endogeneity of credit access, and safety nets in fertilizer demand equation.

Despite increasing trends in fertilizer and improved varieties adoption since mid-2003, only 22 percent of the plots in the sample is actually received fertilizer. Households with more assets measured by livestock wealth are more likely to adopt fertilizer but less likely to participate in the local credit market as they have better savings that could be used to buy fertilizer/improved seeds without credit contract. This suggests poorer farmers heavily depend on credit than wealthier. Participation in safety nets programs did not contribute for increased use of fertilizer suggesting that the program either competes with agricultural labor or the low wage income was not enough to pay for farm inputs.

The findings show that with a heavier reliance on credit by poorer farmers it appears that much might be gained by targeting policies toward increasing credit access to this group.

Studies that utilize repeated plot- and household-level observations are limited. To the knowledge, this is the first study showing the relationship between credit accesses, public work program and fertilizer adoption over time in rural Ethiopia.

The purpose of this paper is to provide empirical evidence on the presence of gender-based discrimination in formal credit markets during the global financial crisis. Specifically, the study tests for gender differences in the probability of being credit-rationed, in the likelihood of being a discouraged borrower and in the price conditions of bank financing.

This paper uses the fifth wave of the Business Environment and Enterprise Performance Survey (BEEPS), which provides detailed micro data on firms from 26 transition economies in Europe and Central Asia. The empirical analysis employs linear and non-linear sample selection regression models and extended Blinder-Oaxaca decomposition techniques to assess gender differences in access to credit.

Controlling for a large set of observable firm characteristics and for endogenous selectivity, we find that female-led firms are more likely to face financing constraints and to be discouraged from applying for credit than their male counterparts. Conditional on having obtained a loan, female-led firms also face significantly higher interest rates. Furthermore, the observed gender gaps are mainly due to unexplained factors, supporting the hypothesis that banks discriminate against women-led firms in their credit-granting decision.

This study provides new insights on gender discrimination in formal credit markets, highlighting that gender differentials in access to credit significantly vary across countries and strongly depend upon the definition of the firm's gender structure. From a policy perspective, the evidence obtained stresses the need for policies aimed at promoting the role of women in the economic environment in order to reduce discrimination and raise competition in credit markets. Moreover, public interventions should support lending to creditworthy female enterprises in order to improve their perceptions about banks' willingness to grant credit and reduce their propensity to be discouraged from applying.