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This study aims to determine how changes in macroeconomic indicators and the housing prices index (HPI) are related. These factors can cause short-term and long-term changes in the housing market in Spain.

The study used cointegrating regression, fully modified ordinary least squares and dynamic ordinary least squares methodologies. The models are trained using quarterly time series data for these parameters from 2010 to 2022. A comprehensive examination is conducted to explore the relationship between macroeconomic issues and fluctuations in the HPI.

The results indicate statistically significant short-run effects (p < 0.05) of economic growth, inflation, Spanish stock indices, foreign trade and the interest rate on HPI. The inflation variables, Spain’s stock indices, interest rate and monetary rate, have statistically significant long-run effects (p < 0.05) on HPI. The exchange rate, unemployment and money supply have no substantial impact on HPI in Spain.

The study’s findings significantly contribute to increased information concerning the level of investing activity in the Spanish housing sector. After conducting an in-depth study of both the long-run and short-run connections with HPI, the study proved to be highly effective in formulating appropriate policies.

Various models and approaches are implemented to provide technical assistance and support to improve cocoa farmers' welfare in Ghana. The Farmer Business School (FBS), which is analogous to Farmer Field School (FFS), is one of the few initiatives of GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit) and Ghana Cocoa Board (COCOBOD). The main aim of the initiative is to train smallholder cocoa farmers to perceive cocoa production as a business. However, there is limited or conflicting evidence as to the effect of FBS on productivity and food security, especially in Ghana. This study assessed FBS participation and the participation's impact on productivity and food security of cocoa farmers.

The study used primary data collected from 542 cocoa farmers in Central and Western North regions of Ghana and employed descriptive statistics, perception index and Endogenous Switching Regression (ESR) as analytical tools.

The results, which reported an overall perception index of 0.7, indicated that the farmers had a strong positive perception on the FBS program. The results also showed that sex of a farmer, number of years of formal education, farm size, extension contact, perception, distance to extension outlet and membership of farmer-based organizations (FBOs) significantly influenced the decision to participate in FBS program. Also off-farm income, years of education and household size significantly influenced farm productivity and household food security. The results further showed that participation in FBS improved productivity and food security of cocoa farmers.

The study used data from two regions of Ghana, namely the Central region and the Western North region. Findings from studies using data covering all cocoa growing areas of Ghana could be more informative in formulating policies aimed at encouraging participation in FBS and consequently help improve cocoa productivity and food security.

This article offers insights into the welfare effects of FBS on cocoa farmers as previous similar studies are without this information.

Ensuring adequate access to food to all has remained a major challenge of the 21^st century. To aid the effort of hunger alleviation, many studies have quantified the prevalence of undernourishment (PoU), mostly at the national level. There has been limited attention to understanding the intra-country variation in undernourishment estimates.

Unlike past studies, this study tracks the substantial regional heterogeneity in the undernourishment status within Nepal. Employing Food and Agriculture Organization's methodology and Nepal Living Standards Survey data from 1995, 2003 and 2011, household energy consumption and requirements are computed to determine regional undernourishment.

Nepal's PoU declined between 1995 and 2003 but increased after 2003 affecting approximately 7.6 million Nepalese in 2011. The Terai domain – Provinces 2 and 5 – are found to be the most vulnerable to undernourishment concerns likely because of economic and natural shocks. Province 4 achieved higher progress in alleviating undernourishment during 2003, but its PoU doubled in 2011 (as in Province 6).

By examining where and how many are undernourished within Nepal, this study has provided a more accurate picture of the PoU for better-targeting assistance to improve the livelihood of its citizens.

Past studies indicate substantial variation in food access and PoU within Nepal. While they provide some answers to “where and how many” questions for some districts, provinces, belts and urban/rural domains at the cross-sectional level (or for selected locales), few have examined intra-Nepal heterogeneity, especially over time. Therefore, this study explores where and how many within Nepal have been undernourished during the past three decades.