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Qatar, a wealthy country with an open economy has limited arable land. To meet its domestic food demand, the country heavily relies on food imports. Additionally, the over three year-long economic embargo enforced by regional neighbors and the covariate shock of the COVID-19 pandemic have demonstrated the country's vulnerability to food insecurity and potential for structural breaks in macroeconomic data. The purpose of this paper is to examine short- and long-run determinants of Qatar's imports of aggregate food, meats, dairy and cereals in the presence of structural breaks.

The authors use 24 years of food imports, gross domestic product (GDP) and consumer price index (CPI) data obtained from Qatar's Planning and Statistics Authority. They use the autoregressive distributed lag (ARDL) cointegration framework and Chambers and Pope's exact nonlinear aggregation approach.

Unit root tests in the presence of structural breaks reveal a mixture of I (1) and I (0) variables for which standard cointegration techniques do not apply. The authors found evidence of a significant long-run relationship between structural changes and food imports in Qatar. Impulse response functions indicate full adjustments within three-quarters of a year in the event of an exogenous shock to imports.

An exogenous shock of one standard deviation on this variable would reduce Qatar's food imports by about 2.5% during the first period but recover after the third period.

The failure of past aggregate food demand studies to go beyond standard unit root testing creates considerable doubt about the accuracy of their elasticity estimates. The authors avoid that to provide more credible findings.

The study aims to estimate the rates of exposure to, and adoption of, rural bank credit programs by smallholder farmers in rural Ghana and the factors responsible for those rates.

The study used a random sample of 300 smallholder farmers in the Fanteakwa District of Ghana, obtained through the multistage sampling technique. The study also employed the average treatment effects approach to estimate the average treatment effect of farmers’ exposure to rural bank credit programs, on their adoption of such programs.

The actual adoption rate is approximately 41%, and the potential, conditional on the whole population being aware of rural bank credit programs, is approximately 61%. Accordingly, there is a gap of about 20% in the adoption of rural bank credit programs, and is due to the incomplete exposure of smallholder farmers to the rural bank credit programs. Age of the household head, access to extension services, membership in farmer-based organizations and active savings accounts with a rural bank are the major contributors to smallholder farmer exposure to and the adoption of rural bank credit programs.

The current study is the first of its kind to be conducted in Ghana on rural bank credit programs. It takes into account the extent to which smallholder farmers are exposed to such credit programs and how it influences their decisions to access or adopt.

The purpose of this paper is to estimate the effect of vegetable producers' inclusiveness in supply chain coordination on vegetable production performance and potential spillover effect on farm and non-farm income.

A comprehensive dataset comprised of 410 paired vegetable producers in China is applied. Propensity score matching (PSM) estimation method is used to control for the selection bias problem.

The empirical results indicate that contracting farming does not have significant effect on yield or profit of vegetable production, but promote producers to obtain quality certification. In comparison, cooperative membership has positive effects on the yield, profit and quality certification of producers. Additionally, cooperatives generate positive spillover effects on members' farm and non-farm income, though the results are sensitive to unobserved factors. The inclusion of spillover effects helps to find out the potential unobserved effects which are neglected by most studies and design better policies to promote the development of agricultural companies and farmer cooperatives.

First, empirical evidence is provided for theories regarding the roles of different supply chain coordination modes on producers. Second, the analysis on evaluating the effects of supply chain coordination also considers the spillover effect on the farming of other products and even non-farm work of involved producers. Third, a unique dataset comprised of 420 paired vegetable producers, based on an extensive survey is built.