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The purpose of this paper is to determine the effects of socio-economic factors of land redistribution for agricultural development project beneficiaries on savings in the North West Province, South Africa.

A binary logistic regression model was employed to determine the effects of socio-economic factors of project beneficiaries on their savings.

The results show that the average number of trainings attended by the beneficiaries, the proportion of youth per project and the average net farm income of the project positively and significantly influence the level of savings by the beneficiaries. About 62 percent of the beneficiaries did not have savings; thus, only 38 percent of beneficiaries had savings. Of the 38 percent who had savings, the majority (77 percent) had an annual net farm income of less than R1,000. Only 2 percent of the projects had an annual net farm income of more than R10,000.

The findings of this study are valuable to policymakers dealing with the issue of land reform and could shed some light on how land redistribution can achieve its intended purposes. These findings should be granted serious consideration when formulating policies aimed at improving savings within collective groups.

The findings of this study have revealed the importance of training and participation of youth in influencing savings. As well, the findings imply that an organization or household with a health income have a higher propensity of saving.

The research findings point out to the importance of saving. With savings, a household is in a better position to deal with situations that arises in case of emergency.

This paper is among the few studies to analyze the determinants of savings at a group or project level. Most studies are done at household or individual level.

Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present study, the authors assess the forecast problem for the weekly wholesale price index of yellow corn in China during January 1, 2010–January 10, 2020 period.

The authors employ the nonlinear auto-regressive neural network as the forecast tool and evaluate forecast performance of different model settings over algorithms, delays, hidden neurons and data splitting ratios in arriving at the final model.

The final model is relatively simple and leads to accurate and stable results. Particularly, it generates relative root mean square errors of 1.05%, 1.08% and 1.03% for training, validation and testing, respectively.

Through the analysis, the study shows usefulness of the neural network technique for commodity price forecasts. The results might serve as technical forecasts on a standalone basis or be combined with other fundamental forecasts for perspectives of price trends and corresponding policy analysis.

The objective of the study is to identify both reasons for ignoring and for paying attention to the country of origin (COO) by consumers when choosing brands of durable goods.

In this paper a qualitative approach was applied, i.e. 25 in-depth semistructured interviews with Polish consumers of durable goods purposively selected out of those who had previously participated in a quantitative survey conducted by the authors.

Among the reasons for paying attention to the COO when choosing brands of durable goods, cognitive (rational), affective (emotional) and normative factors have been identified, while among the reasons for ignoring the COO by consumers, the authors identified only cognitive (rational) and affective (emotional) factors.

The conclusions can be applied by brand managers, e.g. when making decisions whether and why to communicate COO dimensions.

This paper contributes to the international marketing literature as it develops a deeper insight into consumer behavior with reference to the consumers’ reasons for paying attention to and ignoring the COO, with very little published on the latter in particular. Furthermore, it is one of still relatively few qualitative studies conducted so far on COO taking a perspective of a consumer, especially the one from an emerging market from the European Union (EU).

The much-trumpeted Green Climate Fund and several other official financial mechanisms for financing adaptation to climate change under the UN Framework Convention on Climate Change have fallen short in meeting adaptation needs. Many poorer people are still grappling with the scourge of climate change impacts. Consequently, there has been a dominant research focus on climate change financing emanating from official development assistance (ODA), Adaptation Fund, public expenditure and private sector support. However, there has been little attempt to examine how migrants’ remittances can close adaptation financing gaps at the local level, ostensibly creating a large research gap. This paper aims to argue that migrants’ remittances provide a unique complementary opportunity for financing adaptation and have a wider impact on those who are extremely vulnerable to climate change.

The paper is aligned to the qualitative research approach. Both secondary and primary data acquired through interviews and focus group discussions were used for the study. Multiple sampling methods were also used to select the respondents.

The findings show that remittances are used to finance both incremental costs of households’ infrastructure and consumption needs, as well as additional investment needs to be occasioned by ongoing or expected changes in climate.

In the wake of dwindling government/public revenue, ODA and poor commitment of Annex II countries to fulfil their financial obligations, the study makes the following recommendations: First, the financial infrastructure underpinning money transfers in both sending and recipient countries should be improved to make transfers attractive. Second, significant steps should be taken to reduce the fees on remittance services, especially for the small transfers typically made by poor migrants. Finally, adequate climatic information should be made available to local people to ensure that remittances are applied to the right adaptation option to avoid maladaptation.

Customised capacity building is thought to be essential for organisations. However, empirical studies are lacking with respect to its effect on employee outcomes. This study aims to examine the effect of customised capacity building on employee outcomes including employee empowerment and employee engagement through employee learning in Ghanaian local government institutions.

Valid responses from 281 employees of Metropolitan, Municipal, and District Assemblies (MMDAs) in Ghana were collected through a survey. A structural equation model was used to analyse the data and test the hypotheses formulated.

The results showed that customised capacity building has an effect on employee learning, employee empowerment, and employee engagement. Employee learning also had an effect on employee empowerment and employee engagement. In addition, employee learning partially mediated the effect of customised capacity building on both employee empowerment and employee engagement.

This study is of particular relevance to public organisations. As there is a dearth of studies focusing on customised capacity building, this study provides insight into incorporating the phenomenon into public sector organisations to enhance employee learning, empowerment and engagement.

The purpose of this paper is to explore the interrelationship between macroeconomic factors, firm characteristics and financial performance of quoted manufacturing firms in Nigeria. Specifically, the study investigates the effect of interest rate, inflation rate, exchange rate and the gross domestic product (GDP) growth rate, while the firm characteristics were size, leverage and liquidity. The dependent variable financial performance is measured as return on assets (ROA).

The study used the ex post facto research design. The population comprised all quoted manufacturing firms on the Nigerian Stock Exchange. The sample was restricted to companies in the consumer goods sector, selected using non-probability sampling method. The study used multiple linear regression as the method of validating the hypotheses.

The study finds no significant effect for interest rate and exchange rate, but a significant effect for inflation rate and GDP growth rate on ROA. Second, the firm characteristics showed that firm size, leverage and liquidity were significant.

The study has implications for regulators and policy makers in formulating policy decisions. In addition, managers may better understand the interplay between macroeconomic factors, firm characteristics and profitability of firms.

Few studies have addressed the interplay of macroeconomic factors and firm characteristics in determining the profitability of manufacturing firms in the country and developing countries in general.

This study aims to explore the smallholder farmers’ perceptions of climate change and its adaptation options (changing crop variety; improved crop and livestock; soil and water conservation [SWC]; and irrigation practices) and drought indices in the Dire Dawa Administration Zone, Eastern Ethiopia.

A cross-sectional household survey was used. A structured interview schedule for respondent households for key informants and focus group discussions were used. This study used both descriptive statistics and an econometric model. The model was used to compute the determinants of climate adaptation options in the study area. Drought characterization was carried out by DrinC software.

The results revealed households adapted to selected adaptation options. The model results confirmed that education level, farm size, tropical livestock units (TLUs) and access to agricultural extension services have positive and significant impacts on changing crop variety by 0.0014%, 0.045%, 0.032% and 0.035%, respectively. The likelihood of farmers’ decisions to use adaptation strategies (family size, TLU, agricultural extension service and distance from the market) has positive and significant impacts on SWC. The reconnaissance drought index (RDI6) of ONDJFM and AMJJAS showed extreme and severe drought index values of −2.88 and −1.96, respectively.

This study used a locally adopted climate change adaptation intervention for smallholder farmers, revealing the importance of drought characterization indices both seasonally and annually.

Consumers' willingness to pay premium (WTPP) for two different types of agricultural brand labels (enterprise and regional), are evaluated through a non-hypothetical Random n-price auction experiment during the online purchase of fresh agricultural products. The purpose of this paper is to evaluate the two WTPP, compare their differences, and explore their sustainability.

Data were collected in July–August 2020 from a sample of 310 consumers in Liaoning Province, China. A nonhypothetical random n-price auction experiment was implemented in a simulated online shopping environment.

The results show that WTPP exists, and WTPP level of regional brand labels is higher than that of enterprise brand labels. Consumers' WTPP is sustainable. Consumers with low WTPP for enterprise brand labels and consumers with high WTPP for regional brand labels have stronger willingness to repurchase.

The results have direct practical implications for developing brand agriculture and encouraging “brand consumption”. The results can provide theoretical reference for policymakers, enlightenment for the development and effective dissemination of agricultural brand labels and important information to e-retailers on how to sale agricultural products with agricultural brand labels.

To the best of the authors' knowledge, no previous study has related WTPP and its sustainability for agricultural brand labels in China. We try to fill a gap in literature on consumers' WTPP for agricultural brand labels. And the authors explore the sustainability of WTPP by analyzing the impact of WTPP on repurchase intention and recommendation intention respectively.

The study examines the effect of macroeconomic risk, inflation uncertainty and instability associated with key macroeconomic indicators on the efficiency of financial institutions among economies in sub-Saharan Africa (SSA).

Data for the empirical inquiry were compiled from 35 SSA economies from 1996 to 2019. The empirical estimates were carried out using pooled ordinary least squares (POLS) with Driscoll and Kraay’s (1998) standard errors.

Reported empirical estimates show that macroeconomic risk and exchange rate volatility constrain the efficiency of financial institutions. Further results suggest that inflation uncertainty has a significant influence on the efficiency of financial institutions among economies in the subregion. Additionally, reviewed empirical estimates show that institutional quality positively moderates the nexus between inflation uncertainty and financial institution efficiency. At the same time, political instability is found to worsen the adverse effect of macroeconomic risk on the efficiency of financial institutions.

For policymakers and governments, improved institutional structures are recommended to ensure the operational efficiency of financial institutions, especially during an inflationary period. For decision-makers among financial institutions, the study recommends policies that have the potential to make their institutions less vulnerable to macroeconomic risk and exchange rate fluctuations.

The approach adopted in this study differs significantly from related studies in that the study examines and reviews interactions and relationships not readily found in the reviewed literature.