Search results

Though agriculture has the potential for job creation for the growing population; nevertheless, most Nigerian youth merely see the agricultural sector as a viable opportunity for livelihood. In the quest for food security, as encapsulated in sustainable development goals (SDGs), youth participation in agriculture is essential to unlock the agricultural sector’s potential and ensure adequate food production.

This study examined the factors influencing youth involvement in agriculture and its impact on food security in Nigeria, using Ekiti and Kwara States. The study engaged a multi-stage random sampling approach. The first stage involved a purposeful selection of the states among youth in agriculture-related activities. The second stage involved randomly selecting five Local Government Areas (LGAs) from each state. The third stage involved a random selection of five communities in the selected LGAs, making it a total of 25 communities for each state. Finally, 20 households were selected per community. In total, 500 respondents were selected from each of the two states, making it a total of 1,000 respondents for the survey. The Foster-Greer-Thorbeck (FGT) analysis uses the logit regression and the Propensity Score Matching (PSM) techniques.

The results showed that a large proportion (about 95%) of the youth farmers in the study area fell below the food security line (N6448.45) and are food insecure. Findings from the PSM showed that youth in agriculture has no significant impact on food security. The findings from the logit regression showed that gender, age, level of education, land ownership, income, safety net or social protection and value chain are significant determinants of youth participation in agriculture.

This study contributes to the literature by examining the determinants of youth in agriculture and its impact on food security in Nigeria, using Ekiti and Kwara States, by engaging the FGT, logit regression and PSM.

This study contributes to the literature by examining the determinants of youth in agriculture and its impact on food security in Nigeria, using Ekiti and Kwara States, by engaging the FGT, logit regression and PSM.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2021-0197

Energy poverty presents substantial challenges for both developed and developing nations, with the latter experiencing more pronounced adverse effects due to issues related to the provision and equitable access of energy resources. This study aims to provide a deep understanding of how financial development, economic complexity and government expenditures can impact energy poverty.

This research employs generalized method of moments (GMM) estimation on panel data to investigate the economic determinants of energy poverty in 31 developing countries from 2000 to 2020. For a comprehensive analysis, the proxies for energy poverty include access to electricity, access to clean fuels and energy consumption.

The findings suggest that while financial development cannot facilitate access to clean fuels in developing countries, it contributes to an increase in energy access and consumption. Another finding is that energy poverty can be alleviated by enhancing economic complexity since economic complexity can result in increased access to electricity and increased use of clean energy sources. Furthermore, the results underscore the pivotal role of government expenditures, surpassing the influence of financial development. In other words, government expenditures have the potential to significantly improve energy poverty across all three indices.

This is a pioneering research that seeks to examine some economic dynamics including, financial development and economic complexity on energy poverty and provide valuable guidance for policymakers aiming to promote sustainable energy development with respect to economic dynamics.

The relevance of transparency related to public finances is considered fundamental for good economic policy management. An environment of greater fiscal transparency allows the private sector greater predictability, improving the entrepreneur’s decision-making ability. This study empirically analyzes fiscal opacity’s effect on business confidence in an emerging economy.

We use monthly data from the Brazilian economy from January 2010 to March 2023. Based on Ordinary Least Squares (OLS) and the Generalized Method of Moments (GMM) regressions, we analyze whether fiscal opacity, measured by the signal-to-noise ratio, affects business confidence. Moreover, to evaluate the duration of a shock transmitted by the fiscal opacity on business confidence, we consider an impulse-response function generated by a Vector Auto-Regressive (VAR).

We found that fiscal opacity resulting from the lack of information to anticipate the budgetary result of the public sector deteriorates business confidence.

We present robust empirical evidence that allows us to assume that using a strategy to reduce fiscal opacity through mechanisms that provide reliable economic data and fiscal forecasts is essential for fiscal policy to affect business confidence positively. Reducing fiscal opacity provides greater clarity regarding the budget outcome, reduces economic uncertainty and improves the fiscal policy expectation channel.

This paper is the first to analyze how the lack of information for market agents to anticipate the government’s budget execution accurately (fiscal opacity) affects business confidence.

This study examines the dynamics of multidimensional poverty in Nigeria from 2003 to 2018, focusing on women and children, to understand the reality of poverty in Nigeria, where poverty reduction has been stagnant.

This study employed the first-order dominance (FOD) methodology to conduct a multidimensional analysis of poverty among households, women and children in Nigeria, using data from the Demographic and Health Surveys (DHS) conducted in 2003, 2008, 2013 and 2018. We examined how the relative position of multidimensional poverty in each zone has changed for approximately 20 years.

The results indicated that the north-south poverty gap in Nigeria persisted as of 2018 and, regarding within the north and south, changes in the relative pecking order of poverty between the zones have occurred considerably over the past two decades. Different trends were also observed for child and female poverty, suggesting the influence of the unique dimensions of poverty and cultural differences.

This study is the first poverty analysis to apply the FOD approach to children and women in Nigeria, the country with the highest poverty, over a relatively long period of 2003–2018.

The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

A narrative approach is taken in this review of the current body of knowledge.

Significant methodological advancements in tourism demand modelling and forecasting over the past two decades are identified.

The distinct characteristics of the various methods applied in the field are summarised and a research agenda for future investigations is proposed.

本文旨在对先前关于旅游需求建模和预测的研究进行叙述性回顾并对未来潜在发展进行展望。

本文采用叙述性回顾方法对当前知识体系进行了评论。

本文确认了过去二十年旅游需求建模和预测方法论方面的重要进展。

本文总结了该领域应用的各种方法的独特特征, 并对未来研究提出了建议。

El objetivo de este documento es ofrecer una revisión narrativa de la investigación previa sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros.

En esta revisión del marco actual de conocimientos sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros,se adopta un enfoque narrativo.

Se identifican avances metodológicos significativos en la modelización y previsión de la demanda turística en las dos últimas décadas.

Se resumen las características propias de los diversos métodos aplicados en este campo y se propone una agenda de investigación para futuros trabajos.

This study examines the themes present in circular economy disclosures that are published in the integrated reports of banks and analyzes their readability scores.

From 2016 to 2022, a comparative analysis of the integrated reports from six publicly listed Turkish banks that are significant global players was conducted. A total of 21 reports were analyzed, for readability scores and their environmental disclosures from a circular economy perspective were calculated using textual and sentiment analysis techniques.

The findings of this study underscore the significant involvement of banks in key areas of the circular economy, such as waste management, renewable energy, emission reduction and sustainable financing. Moreover, the study also reveals that the readability of environmental disclosures in the analyzed integrated reports was generally low, suggesting that the information presented may challenge stakeholders and decision-makers and prevent full comprehension, thereby potentially impeding the most effective engagement by stakeholders with circular economy initiatives.

This study introduces a new approach to circular economy reporting by exploring the application of data analytics models when assessing readability within environmental disclosures. It specifically focuses on the context of integrated reporting within the banking sector, an area that has not yet been extensively explored. The study further underscores the importance of clear and concise communication when engaging stakeholders in circular economy efforts. The implications of this research for the banking and environmental sectors thus make this study a valuable addition to the existing literature.

This paper explores whether fintech paves the way for the transition to carbon neutrality in the context of China’s climate policy uncertainty (CCPU) and the influence of the ocean carbon sink market.

We apply a novel wavelet analysis technique to investigate the time-frequency dependence between the CCPU index, the CSI (China Securities Index) Fintech Theme Index (CFTI) and the Carbon Neutral Concept Index (CNCI).

The empirical results show that CCPU and CFTI have a detrimental effect on CNCI in high-frequency bands. Furthermore, in low-frequency domains, the development of CFTI can effectively promote the realization of carbon neutrality.

Our findings show that information from the CCPU and CFTI can be utilized to forecast the movement of CNCI. Therefore, the government should strike a balance between fintech development and environmental regulation and, hence, promote the use of renewable energy to reduce carbon emissions, facilitating the orderly and regular development of the ocean carbon sink market.

The development of high-quality fintech and positive climate policy reforms are crucial for achieving carbon neutrality targets and promoting the growth of the marine carbon sink market.

This study aims to investigate the relationship between political instability and the performance of Islamic banks in emerging countries.

For a data sample of 93 Islamic banks in 20 emerging countries during the period from 2011 to 2016, the authors identify indicators that matter most for the activities of Islamic banks.

The study finds that a stable government and law and order are positively correlated with the health of Islamic financial institutions. On the other hand, corruption and military involvement in politics can create an unstable environment for businesses, leading to uncertainty and risk. The study also reveals that Islamic banks operating in regions or communities with lower risk of socio-economic conditions tend to exhibit higher levels of profitability.

Overall, the study provides valuable insights into the impact of political instability on Islamic banks in emerging countries.