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The purpose of this paper is to study an innovative rice value chain financing system (VCFS) established in Benin, to identify the determinants of producers and processors access to formal credit, both at intensive and extensive margins. It focuses on multi-stakeholder platforms (MSP) which connect producers and processors in need of credit to potential financial lenders.

The empirical analysis uses rich cross-sectional survey data collected in Northern Benin in 2018. The sample consists of 215 rice producers and 217 rice processors randomly selected through a multi-stage sampling and interviewed with structured questionnaires. The empirical models analyze the determinants of the likelihood to receive a credit and the amount of credit received. To account for the sample selection and censored nature of the main outcome variable, the study considers a Heckman two-stage model coupled with a Tobit model for robustness checks.

The study finds that the MSP are effective in increasing access to formal credit and the amount borrowed. Producers and processors who are members of the MSP are more likely to receive credit and, conditional on being approved for credit borrower, a larger amount. Other key factors that significantly explain access to credit include the use of soft guarantee for securing a loan, the degree of participation in the platform and demographic characteristics. These findings are consistent across the Heckman and Tobit models.

The study attempts to rigorously analyze the factors explaining producers and processors access to credit using cross-sectional survey data. But it has some limitations. The main limitation is the type of data used. Ideally, one would like to run a randomized control trial (RCT) to randomly assign participation in the MSP to causally estimate its impact of access to credit. The second-best option would be to have a panel data covering the period before and after the establishment of the platform. However, in the absence of an RCT or panel data, the study resorts to cross-sectional data and empirical models that account for sample selection bias and the censored nature of the credit received.

One of the key findings of the study is that participation in the MSP (through different value chain stages associations) increases access to formal credit. This highlights an important and effective mechanism, a well-coordinated value chains that integrated lenders, that policymakers can leverage to facilitate access to credit in the agricultural sector.

Access to credit is important to boost agricultural productivity and income. Hence, the findings of the study have social implications in terms of poverty reduction in rural areas.

The study contributes to earlier theories and empirical studies on the demand for credit. It focuses on an innovative VCFS, increasingly adopted in many developing countries, adds originality and value to the understanding of mechanisms to unlock agricultural actors’ access to credit in low-income countries.

The purpose of this paper is to examine whether and how the extent of religion in a firm’s social environment affects corporate innovation and innovation efficiency from the perspectives of religion-related risk aversion and religion-based social norms.

Using a sample of 8,601 Chinese firm-year observations from 2007 to 2012, this paper examines the relationship between religion and innovation intensity, as well as innovation efficiency. A battery of checks, that is, adopting Heckman selection model, using a province-level measure of religiosity and an alternative measure of innovation intensity, and taking the stochastic frontier analysis method to capture corporate innovation efficiency, are conducted to alleviate the concern of self-selection and to guarantee the robustness of the findings of this paper.

This paper finds strong evidence that firms registered in more religious regions, that is, regions with more Buddhist monasteries within a certain radius, undertake fewer innovation activities as measured by the ratio of R&D investment over total sales income but achieve higher innovation efficiency reflected by the value-relevance of R&D investment.

This paper complements the existing literature by suggesting that religion can serve as an informal social mechanism and performs a “less is more” effect in disciplining corporate innovation activities.

The purpose of this paper is to seek a clearer understanding of how firms involved in power intensive industries participate in foreign direct investment. The paper asks the following questions: how skilled are the employees available for hire? What kind of pollution restrictions will be applied to the plant? Is the infrastructure in place to enable free transport of the necessary materials? All of these are factors that can be analyzed on a national level, and are major factors in government policy.

The research is designated to explain how macro policy can be directed towards firms in the power intensive industry, to impact the competitiveness within the industry. Skilled labor differences is reflecting governmental policy in its willingness to contribute to education. Infrastructure can be viewed as an indicator for long‐term policy planning by the government. The pollution variable reflects on macro policy emphasis by governments, by presenting their emission targets. Investment cost variable gives indication of government policy concerning the ease with which foreign investors can enter into and invest in a particular country. The case country is Iceland, an isolated island that is unable to export its abundance directly and therefore must do so through foreign direct investment.

The findings indicate that source countries are attracted by the level of skill in Iceland at the beginning stage of operations when faced with fixed threshold cost. Once the plants have overcome fixed costs, there are positive impacts on marginal investment, the more skilled the source country is compared to the host. Other factors that proved to be important in this case study are distance, infrastructure, government stability, pollution quotas, and the fishing resource.

The relative friendliness a country's policies display towards an industry can make a huge difference when it comes to how successful a business can be, so studying these national‐level policies can help an individual determine what kind of direction to take on the day‐to‐day operational decisions.

This paper aims to investigate the role that institutional shareholders play in acquisition decisions using micro data in the Chinese stock market during 2003‐2008.

Acquisition decision is the selection and coordination process of shareholders as strategic alliances, which is determined by corporate acquisition ability, composition of institutional shareholders and concentration of tradable share (TS) in China. The paper uses the Heckman selection model to surmount the selection biases in acquisition decision.

The paper finds that institutional shareholders, including qualified foreign institutional investors (QFII), social security funds (SSF), security firms (SF) and security investment funds (SIF), as well as TS concentration, affect acquisition probability rather than annual acquisition scale. SSF, SIF and TS concentration can increase acquisition probability while QFII decreases it.

This paper suggests a strategic alliance model in which institutional shareholders choose whether to collaborate with controlling shareholders and management. However, detailed information of the selection and coordination process is unavailable in the authors' data. Future research need provide more evidence of this postulate.

The paper contributes to the published literature in three ways. First, it offers a model to understand the selection and coordination process of acquisition decision. Second, it investigates whether institutional shareholders could effectively monitor annual acquisition scale. Third, it identifies the Heckman selection problem that institutional shareholders could affect PLCs' acquisition decision on whether to acquire rather than how much to acquire.

Small businesses file taxes in accordance with the personal income tax code because they are considered flow-through entities. Thus, personal income tax reforms directly affect the incentives small business owners face regarding employment and operations. The paper aims to discuss these issues.

The authors use the changes in personal income tax rates during the 1993 and 2001-2003 reforms and micro-level data to estimate the effect of statutory tax rate changes on small business employment decisions.

The authors add two contributions to the current literature: first, the author allow for intertemporal tax planning and second, the author allow the firm’s decision to employ labor to be correlated with the firm’s wage bill decision. Estimation of a Heckman selection model for wage bills shows that the probability that a business will employ labor is 1.18 percent higher when current tax rates increase by one percentage point and 0.70 percent lower when future rates are expected to increase by one percentage point. Among firms that already employ labor, the median wage bill elasticity with respect to current tax rates is −0.64. These estimates are larger than those reported in previous research because my model includes future taxes and allows for correlation between the firm’s employment and wage bill decisions. Omitting the intertemporal tax responses biases the estimates of previous researchers upwards, whereas assuming the two firm decisions are independent biases estimates towards zero.

This paper has been cited in publications published in Journal of Entrepreneurship and Public Policy.

Insufficient internal financing capacities and challenges to accessing external finance are crucial to small and medium-sized enterprises (SMEs) investment and growth. This study aims to investigate how SME leverage of bank financing is related to the investment decision.

Using Heckman’s two-step econometric modelling to correct for sample selection bias, this study investigates the effect of entrepreneur characteristics, firm characteristics and performance on firms’ capital structure choices conditional on new investment decisions.

The main results reveal that larger firms with growth aspirations tend to make new investments. In the second stage equation, empirical results demonstrate that among SMEs who made a new investment, those SMEs with highly educated owner/managers, on average, use more external financing (i.e. banks loan) rather than internal funds – also, the smaller the company, the less bank leverage. Compared to the limited liability legal form, SMEs registered as individual businesses have less bank financial leverage. These results confirm that internal capacities for funding new investments are limited, and hence small firms must rely on external finance.

This study provides a unique empirical investigation and evidence based on a sample of SMEs in Kosovo. To the best of the authors’ knowledge, this study is the first attempt to empirically analyse investment behaviour in relation to capital structure for SMEs in Kosovo and one of the few, in general, to consider the sample selection bias issues underpinning the other studies in this field. The analysis corrects for sample selection bias, using growth aspiration as an instrumental variable.

As a coastal emerging country, export-led marine economy has been the development model of Vietnam over the past decades since The Renovation 1986. Given the rise of globalization, regional economic integration and logistics enhancement have been identified as key engines for economic sustainability by Vietnamese government. Nevertheless, little sectoral and sub-sectoral evidence has been given for the platform shaped by policies relevant to export, logistics performance and regional economic integration. The paper employs the trade gravity model to study the relationship between seafood export, logistics performance and regional economic integration in the case of Vietnam. Sectoral and sub-sectoral trade gravity models are employed. Logistics performance from the exporter-side and importer-side is included in the estimations. Membership to effective regional trade agreements of Vietnam are proxies for regional economic integration. Zero trade issue is resolved by the Pooled Ordinary Least Squares (POLS), Poisson Pseudo-Maximum Likelihood (PPML) and Heckman Sample Selection estimations, while endogeneity is tackled by the difference and system Generalized Method of Moments (GMM) models. Findings vary by estimation methods, data levels, product groups, and whether which side is considered. In addition, theoretical contributions and some seafood export-driving policy recommendations relevant to regional economic integration and logistics performance development are discussed.

The purpose of this paper is to explore the determinants, transactional alignment and performance outcomes of franchise contract length using transaction costs theory (TCT) and resource-based theory (RBT).

The author hypothesizes that franchisors choose contract length according to TCT and RBT arguments. TCT explains the safeguarding function of contracts: the franchisors will offer longer contracts when franchisees’ specific investments are high and environmental uncertainty is low. RBT highlights the knowledge leverage function of contracts: the franchisors will offer longer contracts when the brand name and intangible knowledge assets are high. Franchise companies that design contract length aligned with transactional attributes will perform better. The author tests the misalignment hypothesis and comparative performance of franchise contracts by estimating two-stage least squares regression and Heckman two-stage procedure that control for endogeneity and self-selection.

Empirical data from the German franchise sector support the hypotheses. In addition to the safeguarding function, franchise contracts have an important knowledge leverage function. Longer contracts perform better due to the development of relational strategic assets and stronger commitment.

Franchisors must offer longer contracts when specific investments of franchisees, brand name, intangible knowledge assets are high, and environmental uncertainty is low. Franchisors should invest in the development of relational strategic assets and offer longer contracts for the benefit of superior performance.

The study addresses the significant question of transactional alignment and comparative performance of franchise contracts. It empirically confirms the importance of RBT in explaining contractual choices and performance.

The adoption of solar energy by households is an important avenue of protecting the environment and enabling energy access in rural areas, especially in developing countries like Uganda, where energy access is low. Therefore, this study aims to investigate the factors that influence the households’ willingness to adopt solar photovoltaic (PV) energy and how soon the households are willing to adopt solar PV energy for business use in Uganda.

Heckman’s two-step selection model was used to determine the willingness and urgency of adopting solar PV energy for business use in selected districts in Eastern Uganda. The respondents were selected purposively at the household level at a given point in time.

Results show that sex, household head estimated income, mode of acquisition and repayment terms of solar technology positively influence both willingness and urgency to adopt solar energy for business use in households. However, financial disclosure only influences willingness to adopt solar. Then, age and energy need only significantly influence how soon the household is willing to adopt solar PV energy for business use.

This study’s findings essentially apply to the individual factors that determine the willingness and urgency to adopt solar PV energy for business use by households. Hence, further research is needed to understand the external and industrial factors which could strengthen the predictive potential of the elements in this study.

This study underscores the need for regulatory enforcement on the supply and usage of quality, reliable and affordable solar equipment which are suitable for business use. Also, the need to promote and finance the usage of solar PV as a green energy source for household businesses has been emphasized.

The study simultaneously examines the willingness and urgency to adopt solar PV energy for household business purposes using Heckman’s two-step selection model. This has hitherto remained unknown empirically.

This paper aims to analyse factors that influence child schooling outcomes in India, specifically the role of gender.

This paper uses data from the nationally representative Indian National Family Health Surveys 1995-1996 and 2005-2006 and estimates Heckman sample selection, cluster fixed-effects and household fixed-effects econometric models. The dependent variables are the child’s enrolment status and conditional on enrolment child’s years of schooling.

This analysis finds statistically significant evidence of male advantage both in schooling enrolment as well as years of schooling. However, using a cluster fixed-effects model, our analysis finds that within a village, conditional on being enrolled, girls spend more years in school relative to boys. Other results show that parental schooling has a positive and statistically significant impact on child schooling. There is statistically significant wealth effect, community effect and regional disparities between states in India.

The large sample size and the range of questions available in this data set, allows us to explore the influence of individual, household and village level social, economic and cultural factors on child schooling. The role of gender on child schooling within a village, intrahousehold resource allocation for schooling and regional gender differences in schooling are important issues in India, where education outcomes remain poor for large segments of the population.