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This study aims to focus on assessing the status of agribusiness enterprises in Nigeria. The specific goals were to ascertain the level of performance of different categories of agribusiness enterprises, and determine the institutional and firm-level characteristics that influence agribusiness performance.

The study is based on secondary data. These data were sourced from the World Bank business enterprise survey. The World Bank Enterprise survey employed a purposive sampling technique to select major staple agribusiness categories in Nigeria. The categories selected were those included in the World Bank's categorization of agribusiness enterprises. These categories include tobacco, food, textiles, leather, garments, paper industries and wood. The individual firms included in the survey were randomly selected from the selected agribusiness categories. In total, 721 agribusiness firms were selected. Data were analyzed with multiple linear regression at a 5% probability level.

The result of the analysis showed that small-scale agribusiness enterprises have the best performance based on an average of the five performance indicators considered in this study. The determinants of agribusiness performance showed that the credit constraint, size of enterprise, bureaucracy and corruption negatively and significantly affected the performance of agribusiness enterprises in the country, while the gender and educational status of the top manager were positively significant.

The findings imply that small agribusinesses are instrumental in the development of the agribusiness sector and by extension the economy of the nation.

This study enhances the understanding of how best to deliver improved system-level performance policy and wealth creation, especially within the agribusiness subsector.

The purpose of the study is to examine the obstacle in doing business and determinants of credit adoption by the textile enterprises in India.

The study is based on World Bank’s Enterprises Survey, there are 571 enterprises involved in textile business. The enterprises survey has response on wide range of business obstacles which are categorized under three broad categories, namely, access to resource, business regulations and market externalities. Chi-square test and analysis of variance (ANOVA) have been used to examine the significant difference among firm’s profile and perceived business obstacles across the firm size. Furthermore, binary logistic regression model has been applied to explore the determinants of credit adoption by textile enterprises.

A statistically significant difference has been found in size of firms and legal status nature of establishment, gender of top manager, main product market and credit adoption from financial institutions. Majority of small- and medium-sized enterprises (SMEs) are sole proprietorship firm while large enterprises are limited partnership firms. Similarly, large enterprises have relatively more female as a top manager and international market for their product. ANOVA reveals equal degree of obstacles in doing textile business across the firm size. The logistic regression coefficient and marginal effects reveal that firm size, main market,gender of owner, number of establishment in the firms positive and significantly affects the credit adoption by 3 textile enterprises.

The study has some policy implications for various stakeholders such as textile business managers and promoters, government, investors and bankers for entrepreneurship development in textile sector. The study suggests that the government should incentivize small- and medium-sized businesses to increase their exports. The results show that despite government efforts to finance SMEs, fewer SMEs are receiving both short- and long-term credit. To help SMEs in the textile industry overcome financial difficulties and expand their main product market to both domestic and international levels, a soft loan should be provided based on the characteristics of textile enterprises.

The present study suggests the evidence-based understanding of textile business environment. The value and uniqueness of this study is to explore an ease of business textile sector using comprehensive enterprises survey data of World Bank.

This paper aims at identifying the major obstacles to business enterprise in an emerging economy and how these obstacles are associated with different characteristics of the enterprises.

The study relied on the World Bank Enterprise Survey data on Ghana and applied binary and ordinal probit regression techniques to estimate the associations between the characteristics of the enterprises and the identified obstacles. Significance testing of the associations is also conducted.

The five main obstacles perceived by most of the enterprises in the study are access to finance, electricity, access to land, customs and trade regulations and tax rates. These obstacles are associated in different ways to growth rate (high vs low growth), scale (small and medium vs large), age, size of employees, the experience of the top manager and ownership (wholly domestic vs foreign ownership).

As a cross-sectional study focusing on Ghana, the findings are informative about the major obstacles facing business enterprises in an emerging economy; however, the ecological validity of these findings may be limited to factors specific to Ghana.

Given the representativeness of the Enterprise Survey, policymakers can rely on these findings to formulate useful policies to promote the operations of business enterprises.

Enterprises in developed and developing world environments often begin life in the informal sector operating outside the purview of government oversight. Sectoral firm change, however, from the informal to the formal sector is not well studied. The purpose of this paper is to answer the following research question: “What firm-level markers help explain the movement of firms from the informal to the formal sector?”

Data from 719 urban formal enterprises included in the 2016 El Salvador Enterprise Survey undertaken by the World Bank forms the basis of the empirical analyses. The survey questionnaire comprehensively encompasses business practices and performance and the overall business environment.

Multivariate results reveal location, firm maturity, problems with land acquisition, a line of credit or active business loan, extortion by street gangs and practices of informal competitors increase the odds of informal firms becoming formal enterprises. Lessening the odds of once informal firms moving to the formal sector include the lack of access to public utilities, visitation by tax officials, formation as a corporation, bank accounts, number of employees and time spent focused upon government regulations.

Contextualized within the national setting of El Salvador, the integration of informal enterprises into the formal economy and related public policy implications of informal firm regularization are discussed.

Las empresas de países desarrollados y en desarrollo a menudo comienzan su vida en el sector informal y que opera fuera del ámbito de la supervisión gubernamental. Sin embargo, el cambio de empresas sectoriales, desde el sector informal al formal, no está bien estudiado. Este artículo busca responder la siguiente pregunta de investigación: “¿Qué marcadores de nivel de empresa ayudan a explicar el movimiento de las empresas del sector informal al formal?”

Los datos de 719 empresas formales urbanas incluidas en la encuesta de empresas de El Salvador de 2016 realizada por el Banco Mundial constituyen la base de los análisis empíricos. El cuestionario de la encuesta abarca de manera integral las prácticas y el rendimiento empresarial y el entorno empresarial general.

Los resultados multivariables revelan la ubicación, la madurez de la empresa, los problemas con la adquisición de tierras, una línea de crédito o un préstamo comercial activo, la extorsión por parte de pandillas callejeras y las prácticas de competidores informales aumentan las probabilidades de que las empresas informales se conviertan en empresas formales. Disminuir las probabilidades de que una vez las firmas informales se muden al sector formal incluyen la falta de acceso a los servicios públicos, las visitas de los funcionarios tributarios, la formación como corporación, las cuentas bancarias, el número de empleados y el tiempo dedicado a las regulaciones gubernamentales.

En el contexto nacional de El Salvador, se analiza la integración de empresas informales en la economía formal y se discuten las implicaciones de las políticas públicas relacionadas con la regularización de empresas informales.

This chapter evaluates the cross-national variations in the proportion of employment that is in informal sector enterprises and evaluates competing theories which view these cross-national variations to result from either economic underdevelopment (modernisation explanation), high taxes, public sector corruption and over-regulation of work and welfare (neo-liberal explanation) or conversely, a lack of intervention in the realm of social protection (political economy explanation).

To evaluate these competing explanations, the International Labour Organisation’s (ILO) country surveys that investigate the scale of employment in informal sector enterprise in 43 developing and transition economies, along with the World Bank database of development indicators, are analysed here.

The finding is that lower levels of employment in informal sector enterprises are closely associated with economic development, lower levels of public sector corruption and state intervention in the form of higher tax rates and social transfers to protect workers from poverty.

This chapter reveals the need to move beyond treating these contrasting representations as competing explanations and to recognise how all are required to more fully explain the prevalence of informal sector entrepreneurship.

Tackling employment in informal sector enterprise is shown to require broader economic and social policies associated with the modernisation of economies, tax rates, social protection and poverty alleviation.

One of the first evaluations of the competing explanations for why some countries have higher levels of employment in informal sector enterprises.

This paper aims to examine the determinants of growth rate in Islamic banking using annual time series data.

The author applied several econometrics methods including generalized linear model and survey-based indicators. The author uses the World Bank Enterprise Survey data to supplement the answers.

The results support the view that high oil prices, stable domestic prices, higher educated populace and greater presence of capital resources have positive effects on growth in Islamic banking. The findings, however, revealed that instability adversely affects Islamic banking growth. The author found no clear conclusion on the impact of economic growth, greater presence of Muslim population and presence of sharia in the legal system of the country on growth in Islamic banking. The major constraints impeding Islamic banking growth include regulations, tax rates and skilled labor force.

There is no empirical work that has been done on the determinants of Islamic banking growth by taking into account the following factors: oil price dynamics, sharia compliant, macroeconomic variables, instability and World Bank Enterprise survey. This paper attempts to search for the push and pull factors of Islamic banking growth to fill the gap in determining the Islamic banking growth.

This policy paper compares the performance of state-owned enterprise (SOEs) versus private firms in selected emerging economies in Asia, focusing on a number of performance indicators. The indicators are internationally recognized quality innovation, product and/or service innovation, financing of operations, dealing with government regulations and labor performance. To the best of the authors’ knowledge, there has been no such comparative study for these indicators between SOEs and private firms and across countries. Most studies of SOEs have been national case studies. As such, they give us little knowledge of how a country compares with other countries at similar stages of economic development. A cross-country comparative analysis can help us identify broader trends and patterns.

The authors compare and discuss the performance of SOEs versus private firms in a number of emerging Asian countries, namely China, India, Indonesia, Malaysia and Vietnam. To do so, the authors use data from the 2018 World Bank Enterprise Survey (which is the latest available) for the period 2012–2015. The authors focus on a number of key performance indicators, namely internationally recognized quality innovation, product and/or service innovation, financing of operations, dealing with government regulations and labor performance.

The comparative analysis uncovers some interesting differences between the two types of firms. For example, somewhat surprisingly, SOEs tend to innovate more than private firms. However, the single most significant pattern the authors find is that in middle-income Asia both types of firms face formidable challenges with respect to doing business – e.g. scarcity of relevant training programs for employees. Therefore, the priority of policymakers must be to improve the overall business environment for all firms, regardless of their ownership structure.

The nature of this paper is a policy paper. This is because the data used in this study is survey data, conducted every four–five years (or more) for each country in the study and available for very few countries. As the data are not available for a continuous period of time, The authors could not conduct empirical research for this topic and thus made it a policy paper that presents a comparison across Asian countries as case studies.

The five selected Asian countries are interesting case studies for a comparative analysis since they are middle-income countries where SOEs play a significant role in the economy. Furthermore, state ownership is an important institutional dimension in emerging markets, and strong ties with the government can influence the performance of SOEs through various market and non-market channels. Despite the potential importance of the research theme, there is very little existing research on cross-country comparisons of the performance of SOEs vis-à-vis private firms. This could be explained by scarce data availability. With this in mind, the study attempts to shed some light on SOEs' performance and add to the rather limited literature.

The purpose of this study is to investigate the inability to access affordable credit in Kenya which hinders many women entrepreneurs from either starting their own or expanding existing enterprises and capital base. The emergence of table banking groups attempts to fill the existing credit gap.

A cross-sectional survey involving 225 randomly selected women entrepreneurs who participate in table banking groups within Nakuru Municipality was conducted. Data collection comprised a questionnaire whose reliability coefficient was 0.83 at 0.05 confidence level.

Results indicated that a majority women entrepreneurs aged between 20 and 60 years with 71 per cent of them married. Further, 44 per cent had attained secondary-level education, while no illiterate entrepreneurs participated in the study. A positive increase in the number of employees, after members participated in table banking groups, was realized. Credit received from table banking influenced changes in the size of enterprises.

The study shows that availability, affordability and accessibility of credit from table banking groups led to positive growth of women-owned enterprises.

The primary purpose of this study is to investigate the effects of bank competition on SMEs' access to finance in selected Indian states. Using 9,281 firm-level observations from World Bank Enterprises Survey (WBES), this study tests the market power hypothesis versus the information hypothesis to determine whether bank competition promotes access to finance for financially constrained firms.

The authors measure state-level bank competition using two structural indicators: the Herfindahl Hirschman Index (HHI) and three bank concentration ratios (CR3). The authors apply simple probit regression, probit model with sample selection (PSS) and two-stage least squares (2SLS) to examine the effects of bank competition on firms' financing constraints.

The results obtained through PSS and 2SLS indicate that bank competition alleviates firm's financing constraints and positively impacts its need for a bank loan and the decision to apply for bank credit. However, the prevalence of bank competition in promoting access to finance is more pronounced for small and medium-sized firms than for large firms. Higher bank competition also alleviates the credit constraints faced by female entrepreneurs.

Reserve Bank of India (RBI) and other government stakeholders should ensure bank competition without hampering the agenda of bank consolidation to facilitate access to credit for SMEs. Regulators should also identify and monitor the financial institutions that make an insignificant contribution to promoting competitiveness in the financial system.

Previous studies primarily investigate the effect of bank competition on a firm's access to finance from advanced and cross-country perspectives. This study contributes to the literature on bank competition by examining its role in promoting access to finance from an emerging economy standpoint. Measurement of bank competition indicators at the state level is an additional contribution.

The choice of Southern Europe is partly based on the observation that the sample includes a number of countries whose economies faced more severe difficulties than elsewhere in Europe. Economically they were less able to absorb the economic shock posed by COVID-19. It is also partly based on the characteristics of the pandemic. A number of countries in the sample were amongst the earliest in Europe to be hit by the pandemic and a several were harder hit in terms of both morbidity and mortality.

This study uses evidence from World Bank enterprise surveys of a sample of firms from six countries in Southern Europe. It examines the early evidence of the effects of COVID-19 on labour markets. The economic consequences potentially cover a wide range of issues. The focus of this study is on firm level evidence of the effect on labour. The evidence and the analysis are provided at a time when the pandemic is still in progress. The authors use both traditional regression analysis and IPWRA to assess the joint effect of loans versus government support on, firstly, the change in sales revenues and, secondly, the number of weeks that the firm would expect to survive with no sales revenues.

The study suggests that, despite efforts to support firms and hoard labour, there is a prospect of a significant number of firm closures with a consequent loss of employment. Temporary firm closures also represent a substantial loss of labour weeks. These are partly related to a significant number of workers subject to furloughs. The empirical findings suggest that COVID-19 cases and deaths have directly affected firm sales but government containment measures, particularly closures, have more strongly affected firms. Losses of sales were unsurprisingly related to losses of employment. Remote working has contributed to sustaining employment but online business has not affected most sectors.

The future progress of COVID-19 and government containment measures is uncertain, and the full economic consequences will probably continue to emerge after the end of the pandemic. The full extent of the impact on labour will probably not be the first of these. There are obvious advantages in seeking to learn lessons from the early stages of the pandemic but there are also obvious constraints. The full economic consequences will take longer to emerge than the pandemic itself and the full consequences for employment will take longer to be evident than many other economic effects.

Both temporary closures and furloughs impose costs that will be borne by firms, workers and government. The effects of COVID-19 on firms differ across sectors. Adverse effects tend to be higher in hospitality, non-essential retail and travel. That many firms lack the capacity to survive further temporary closures of a similar duration to those in the earlier stages emphasises that the support provided in the near future is of critical importance to control employment losses through permanent firm closures. A long-term perspective suggests neither permanent closure nor laying off workers may be the best response to a temporary crisis in demand. A stakeholder model of the firm would often suggest that it is not an optimal for the point of view of workers or the wider economy either. Both imply a preference for labour hoarding.

The most affected are sectors with a high proportion of female workers and, in consequence, most of the countries in the sample exhibit an early decline of the already lower than average share of women in employment.

The data used have been recently released and this is the first analysis using the data to look at the consequence on firms employment decisions during the Pandemic. The case of Southern Europe is much understudied, though one of the most dramatic as to the consequences of the pandemic. From a methodological point of view, the authors use not only traditional regression analysis, but also the matching approach to identify the effect of different policy options on labour demand by firms.