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The authors investigated cocoa farmers' access to subsidized fertilizer in Ghana and implications on productivity.

Primary data were sourced from 435 cocoa farmers. Cragg hurdle and two-step Tobit model with continuous endogenous regressors/covariates were applied for the drivers of cocoa farmers' participation in fertilizer subsidy programme and productivity. Propensity score matching (PSM), inverse-probability weights (IPW) and augmented inverse-probability weights (AIPW) were applied for productivity impact assessment of fertilizer subsidy.

All the farmers were aware of fertilizer subsidy for cocoa production in Ghana. Farmers became aware of fertilizer subsidy through extension officers, media and other farmers. Half of cocoa farmers benefitted from fertilizer subsidy. Averagely, cocoa farmers purchased 292 kg of subsidized fertilizer. Many socio-economic, farm-level characteristics and institutional factors determine cocoa farmers' participation in fertilizer subsidy programme, quantity of subsidized fertilizer obtained and productivity. Beneficiaries of fertilizer subsidy recorded higher cocoa productivity than non-beneficiaries. Hence, fertilizer subsidy for cocoa production in Ghana leads to a gain in productivity.

There should be more investments in fertilizer subsidy so that all cocoa farmers benefit and obtain the required quantities.

The authors provide new evidence on cocoa productivity gain or loss emanating from fertilizer subsidy by combining different impact assessment techniques for deeper analysis: PSM, IPW and AIPW.

The authors assessed the certification of street food retailers in Ghana in terms of awareness, training, willingness to be certified, determinants, agreement with certification requirements and impacts on performance.

Primary data was sourced from 200 street food retailers. Descriptive statistics, Likert scale, mean comparison test, heteroskedastic probit, inverse-probability-weighted regression adjustment (IPWRA), inverse probability weights (IPW) and augmented inverse-probability weighting (AIPW) were applied.

Most uncertified retailers were willing to be certified. Awareness about certification was high. Most of the certified retailers had been trained on certification, while most uncertified retailers had not been trained. Being a female, being educated, being a migrant vendor, possessing experience in retailing, training in certification, trust in the local certification process, the amount spent in preparing food and the number of customers are crucial variables that increase the probability of being certified among street food vendors. Street food retailers agreed to all the requirements for certification. Certification boosts the performance of street food retailers in terms of the number of customers and contracts received. Training on certification is recommended for street food retailers.

The limitation of this study is mainly due to the type of food retailers selected. Street food vending in Ghana is done among those who cook food for selling, those who sell processed products such as drinks and those who sell vegetables and other uncooked agriproducts. Meanwhile, the authors selected unorganised retailers who primarily cook local and regional dishes for sale in this study. Thus, the study did not include organised food retailers such as restaurants. Therefore, generalising the study results for street food vendors should be made with caution.

Several studies have been conducted on street food retailing across the globe on knowledge of food-safety practices, risk practices, bacterial contamination of street retailing food, toxicological hazards of street foods and compliance with technical and hygienic requirements by street food retailers, among others. However, empirical studies on the certification/licensing of street food retailers and its impact have been given little attention. As a result, this study investigates the certification of street food retailers and its impacts on retailers' performance in Ghana.

This paper examined the factors influencing the participation of rice processors in short supply chains and the participation impact on the amount of rice processed, per capita expenditure of household and value of sales.

The Seemingly Unrelated Regression and Doubly Robust Augmented Inverse Probability Weighting Model (AIPW) were used to analyse the determinants of short supply chain participation and the impact of short supply.

From the results, the mean value of rice processed was GH₵18385 (US$ 3,069.28), with the minimum value being GH₵ 25 (US$ 4.17) and the maximum GH₵ 67200 (US$ 1,1218.70) per annum. Processed rice aroma and grade characteristics positively influence the value of processed rice sold via short supply chains as well as the expertise rate of the processor, Farmer-Based Organisation membership, and marketing information availability. Women rice processors' per capita expenditure, total sales value and the value of processed rice was positively influenced by the short supply chain participation.

Even though the sample size was appropriate, a larger sample size could further support the study's finding since a limited geographical area with predominant domestic rice processors was studied. Again, future studies should consider behavioural theories, such as the Theory of Planned Behaviour, amongst others, in understanding the reasons for the choices of short supply chains compared to other sales outlets.

Although there is a growing body of literature on rice, most of the studies focussed on the marketing outlet of rice producers, rice processing, constraints and opportunities faced by rice farmers and processors and an out-grower scheme involving rice processors amongst rice producers with none of these on the choice of short supply chains amongst women processors. Also, amongst all the studies on rice producers, none applied a theory; however, the Women in Development (WID) Theory was used to analyse the impact of the short supply chain on the impact on household per capita expenditure (poverty), the value of sales and amount of rice processed, a modest theoretical contribution of the paper to literature.

Without controlling for selection bias and the potential endogeneity of the treatment by using proper methods, the estimation of treatment effect could lead to biased or incorrect conclusions. However, these issues are not addressed adequately and properly in higher education research. This study reviews the essence of self-selection bias, treatment assignment endogeneity, and treatment effect estimation. We introduce three treatment effect estimators – propensity score matching analysis, doubly robust estimation (augmented inverse probability weighted approach), and endogenous treatment estimator (control-function approach) – and examine literature that applies these methods to research in higher education. We then use the three methods in a case study that estimates the effects of transfer student pre-enrollment debt on persistence and first year grades. The final discussion provides guidelines and recommendations for causal inference research studies that use such quasi-experimental methods.

This study aims to focus on the nexus between off-grid systems and impacts on islands and remote villages in Ghana by investigating the sources and cost of energy, willingness to pay for electricity and impacts of off-grid energy on the local economy, education, health, social activities, the environment and migration.

Data were obtained from 110 households; heterogeneous impact analysis of off-grid technologies, average treatment effect by inverse probability weights (IPW) and inverse probability weighted regression adjustment (IPWRA) models were used to analyse the data.

The sources of energy are gas, kerosene, wood fuel and dry-cell battery. All households in communities with neither electricity nor off-grid system were willing to pay for electricity. Households without off-grid systems (US$8.1) were willing to pay higher amounts per month for electricity. The off-grid technologies improve the local economy, social activities, security, the environment, education and health as well as reduce out-migration.

Most of the literature on mini-grid/off-grid systems have been from the engineering and the technical perspective, with a few on the socioeconomic impacts of the systems and consumer engagements. Besides, methods including descriptive statistics, energy technology sustainability framework and qualitative analysis were used in these studies. Nevertheless, the authors used a more rigorous method of the doubly robust inverse probability weighted regression adjustment model and a heterogeneous method to model the impact analysis of off-grid systems.

The purpose of this paper is to study land title’s credit effect from a financial inclusion perspective in China. The focus is both small land holding and poor farmers. Formal and informal finances are considered to test their differences in land title’s credit effect.

The authors use augmented inverse-probability weights of the doubly robust method to test the effect of land titling on the rural credit market by addressing self-selection, endogeneity and heterogeneity concerns.

Results show that the poor, non-poor and small land holders with land titles are willing to borrow more from formal financial institutions. Land titling increases loan accessibility for non-poor and small land holding farmers. As for informal financing, large land holding and non-poor farmers show a decrease in informal lending. Land titling has a financial inclusion effect for some farmers, but poor farmers’ credit restrictions are not entirely solved by land titling.

This is the first study that focuses on the financial inclusion effect of farm land titling in China.

The purpose of the study is to assess the differential impact of gender and cancer sites on mental burden across different types of cancer and control patients.

The paper is based on a primary survey undertaken in 2015–2016 of 600 cancer and 200 control patients across five hospitals of Nepal. The data was analyzed using propensity score matching methods and treatment effect weighting estimators.

The authors find that of all the types of patients covered under this study, cervical cancer patients suffered from a greater intensity of anxiety and lack of functional wellbeing. On an average, all other female, male cancer patients, and control patients experience significantly lower intensity of mental burden in the range of 1.83, 2.63 and 3.31, respectively when compared to patients of cervical cancer. The results are robust across all the four treatment effect estimators and through all the measures of mental burden. The implications of suffering from cervical cancer, as a unique gynecological cancer was studied in-depth. An effect size analysis pointed out to the dysfunctional familial relationship as additional causes of concern for cervical cancer patients.

An important finding that emerged is that female cancer patients especially those who have cervical cancer should be given special attention because they appear to be the most vulnerable group. Further work is needed to delineate the reasons behind a cervical cancer patient facing higher amount of stress.

The purpose of this paper is to use a unique, hand-collected data set of Food and Drug Administration (FDA)-approved products to understand the effect of lobbying on the product market. The authors gather total 86,462 FDA labels including drug patents, drugs, pre-market approvals and medical devices and test the relationship between lobbying and future firms’ product submissions.

Using a sample of 86,462 FDA labels including drug patents, drugs, pre-market approvals and medical devices, the authors test the effect of lobbying on a firm’s future product submissions using survival analysis, logit, difference-in-differences and propensity score matching techniques.

The authors find lobbying firms experience an increase in the number of medical products approved. However, increased number of FDA labeling comes at the cost of product failure. The authors document that lobbying increases product recalls when responsible firms are associated with higher market withdrawals.

This study contributes to both the management literature on corporate lobbying and product recalls. Additionally, the study reveals the connection between pharmaceutical lobbying and firm value.

The authors explored the effect of college student leader experience on students' employment prospects, such as their starting salary. The authors also examined the factors behind being a student leader and the set of skills that foster the effect of leadership experience.

Using an empirical panel survey, the authors collected data from 3,361 undergraduate students over five consecutive years in China, which were analysed using different econometric methods.

The starting salary premium associated with student leaders' experiences was approximately 7%. Individual learning, problem-solving, and interpersonal skills were mediating variables that replaced half of the wage premium effect of the student leader. Family background and types of educational experiences were associated with being a student leader and labour market outcomes.

The authors only explored a few leadership-related employability skills; other relevant skills require consideration.

This study informs students, parents, and higher education institutions (HEIs) by clarifying the importance of leadership development. An effective transition from higher education to the labour market should be emphasised.

Higher education educators should provide guidance to student organisations and promote formal and informal student leadership education to all students.

The authors revealed some factors that promote student leadership and how they are associated with labour market outcomes in China. The authors also verified and validated the capital improvement channel for some specific leadership-related skills to explain the effect of student leader experience on employment outcomes.

The purpose is to understand why contract instability occurs when small landowners lease their land to large landholders.

The authors develop a contract theoretical model to understand the stability problem in the farmland lease contract in China, where most landowners are small landholders.

Results from the doubly robust estimation method used on randomly selected interview data from 552 households in nine provinces of China indicate that contract instability can arise endogenously when large landholders sign a contract. The authors conclude that a suitable rent control regime or contract enforcement may be necessary to promote a large-scale farmland transfer in China.

The authors develop a contract theoretical model and apply it to the land rental market in China. Data used are original and collected from farmers located in nine provinces of China.