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This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.

Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.

Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.

The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.

Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.

The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

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 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.

After the decision of the Egyptian government to adhere to the Equal Pay International Coalition in 2020, a great deal needs to be done to guarantee ‘equal pay for equal work’. The authors provide a comprehensive, in-depth, up-to-date analysis of the gender wage gap in Egypt, as well as its evolution over the last 20 years, disaggregated by public and private sector. The authors also provide an analysis of the cultural determinants of Egypt's low female participation.

The authors apply the Oaxaca-Blinder decomposition (with sample selection) to assess the gender wage gap at the mean of the wage distribution in the public and private sector. The authors also implement a re-centred influence function decomposition to assess the extent of ‘discrimination’ along the wage distribution in both sectors. An inverse-probability-weighted regression adjustment procedure is used to assess the joint impact of gender and firm-ownership. A female participation equation taking into account gender equality attitude is provided.

The authors find a sizable and increasing gender wage gap in the private sector almost entirely due to ‘discrimination’. The authors also find evidence of a sticky floor in the private sector and a glass ceiling in the public one. Cultural barriers play a major role in determining female participation.

This is the first paper on the evolution of gender equality in Egypt that takes into account the effect of the 'Arab Spring’ of 2011. To the best of the authors’ knowledge, this is also the first time that an IPWRA procedure is applied to study the interaction effect of gender and firm-ownership.

The agricultural extension system in Indonesia has experienced its ups and downs in line with the sociopolitical dynamics of the country. This study examines the impact of access to agricultural extension on the adoption of technology and farm income of smallholder farmers in Banten, Indonesia.

This study uses a quasi-experimental research design to estimate the impact outcomes at the farm level, with methods that form part of the counterfactual framework.

Estimation results show that farming experience, off-farm income, irrigation, group membership, mobile phones and livestock ownership significantly affect extension access. The results of this main study show the important role of extension access to technology adoption and agricultural income. These studies found consistently positive and statistically significant effects of access to extension services on technology adoption and farm income.

The consistent positive and significant effect of extension access implies that public investment by the government in agricultural extension can optimize the potential impact on technology adoption and agricultural income, which also affects the distribution of the welfare of rural smallholder farmers.

Agricultural extension as a key to increasing technology adoption. However, the impact of access to agricultural extension in Indonesia has received less attention in terms of adoption and farm income.

This paper examined tax compliance and its impact on agrochemical traders in Ghana.

Based on the registered agrochemical lists obtained from the Plant Protection and Regulatory Service Department, 92 agrochemical traders were sampled for data collection. Probit regression was used to estimate determinants of tax compliance, whereas the Inverse Probability Weighted Regression Adjustment Model was employed to evaluate the impact of tax compliance on business performance.

The results revealed that age and gender relate positively to enforced tax compliance, while education positively impacts voluntary tax compliance. Nonetheless, tax rate, trust and monthly sales positively affect voluntary tax compliance but negatively impact enforced tax compliance. Inversely, while authorities’ power negatively impacted voluntary compliance, it positively influenced enforced tax compliance confirming the Slippery Slope Framework.

To the best knowledge of the authors, this paper is the first to investigate tax compliance determinants and impact among agrochemical traders, despite the tremendous growth of the agrochemical sub-sector in Africa and Ghana. Therefore, this study makes a modest contribution to empirical studies that validate the Slippery Slope Framework in promoting tax compliance in the agricultural and agribusiness sectors of a developing country. Similarly, it also unearths the impact of tax compliance on agribusiness growth which has yet to be highlighted in the extant literature.

This paper assesses the impact of this program on the rural women's employment opportunities using data from the 2015 round of the household's living standard survey (HLSS) of Côte d'Ivoire.

In 2013, in order to improve the living conditions of the rural population, the Ivorian government launched the National Program for rural electrification (PRONER) to electrify all localities with more than 500 inhabitants.

The results show that PRONER, while reducing the time allocated to performing household chores, increases women's employment through the reallocation of time to full-time paid work in the agricultural and non-agricultural sectors. The authors also find that the allocation of men's time is not affected by this programme. A possible mechanism that would explain such a pro-women effect is the labour-saving technology introduced to home production as an effect of the reform.

As a limitation, it is important to note that these results were obtained in the specific context of PRONER in Côte d’Ivoire and are not necessarily applicable to rural electrification programmes in other contexts. Furthermore, the choice of other indicators to measure women's empowerment is limited by the quality of the data available. It would be interesting for future research to extend this analysis to include other aspects of women's empowerment and household welfare.

This paper is the first to the author’s knowledge to apply a robust econometric method by combining an inverse probability weighted regression adjustment model with Heckman sample selection method to access a robust causal effect of the PRONER in Côte d'Ivoire.

The purpose of this study is to examine trade credit from agrochemical vendors as an alternative source of finance for cabbage producers in the Bono East Region of Ghana. The determinants of trade credit supply and impact on cabbage producer’s profitability are investigated.

The study sample size is 260. The perception index, probit regression, negative binomial regression and the propensity score matching (PSM) was employed to assess the perception of trade credit, factors influencing trade credit supply and the impact of trade credit supply on the cabbage producer’s profitability and agrochemical vendor’s welfare respectively.

The perception index analysis revealed that the agrochemical vendors, in general, had a positive perception of trade credit. Different groups of factors influence trade credit supply. Further along, the number of times trade credit was used by the cabbage producers was influenced by several factors. On the PSM result, trade credit use had a significant positive impact on the cabbage producer’s profitability. In detail, all the matching estimations revealed that profitability increased above Gh¢ 4,000.00 (US$ 692.04). Likewise, the robustness check result (Inverse Probability Weighted Regression Adjustment (IPWRA)), was no different from the matching estimations. Generally, the result indicates that the impact of trade credit supply on the agrochemical vendor's welfare using total household expenditure, total savings and income as proxy variables for welfare were positive.

Trade credit has encountered less attention in the agricultural finance discourse; however, this study makes an imperative contribution on the same. Specifically, the study reveals the determinants of trade credit supply from agrochemical vendors and a positive impact of trade credit use on the cabbage producer’s profitability, a result which has not been investigated in the trade credit literature.

The purpose of this study is to examine the impact of Anchor Borrowers Programme (APB) on youth rice farmers’ productivity (yield/ha).

Using cross-sectional data from youth rice farmers in Kaduna State, Northern Nigeria, probit regression was used to examine the determinants of participation in ABP amongst the youth rice farmers. In addition, the instrumental variable (IV) regression approach that could mitigate selection bias due to unobservable factors resulting from the cross-sectional nature of the data was also used to determine the impact of the ABP on rice productivity of youth farmers.

Findings from the study indicated that marital status, education, access to credit and membership of cooperative association were the significant determinants of participation in the ABP amongst the youth rice farmers.

The implication of the result is that participation in the ABP leads to an increase in yield by about 42.46%, which shows the effectiveness of the ABP in the study area.

This study provides a rigorous econometric analysis of the determinants of ABP and its impact on rice productivity amongst youth farmers in Northern Nigeria. Thus, the study recommends improvement in credit accessibility, participation in the cooperative association and more education of the farmers to sustain the inputs distribution aim of the ABP.

This study examined the effects of adopting dairy feed technology bundles on the milk production of smallholder dairy farmers.

The study was based on Multinomial Endogenous Switching Regression (MESR) to estimate the effects of the adoption of three feed technology bundles on milk production using data collected from 518 dairy farm households in West Java, Indonesia.

The findings indicated that adopting technology bundles had positive and robust effects on milk production, with gradual positive effects between non-adoption and the adoption of different bundles of technologies.

This study focused on the association between the adoption of feed technology bundles and milk production. However, further analysis of the causal links between the adoption of feed technologies and milk production as well as the inclusion of other outcomes in the analysis, such as production costs and risk mitigation, are required.

Most of the literature on agricultural technology adoption focuses on the adoption of individual technologies, crop farming and conservation practices. Therefore, this study examined the effects of the adoption of dairy feed technology bundles.