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The primary purpose of this study is to assess the factors that influence households’ choice of cooking fuel in Bauchi State, Nigeria.

In total, 750 samples were selected using multistage area cluster sampling, of which 539 responses were analysed. Multinomial logit model was used to estimate the factors that determine a household’s main cooking fuel choice in Bauchi State, Nigeria.

The result has shown that income, location, price of firewood, hours of electricity supply and home ownership are among the factors that have a significant impact on influencing the type of cooking fuel to be adopted by households.

The study cannot offer any explanation about the influence of time dimension on the pattern of household cooking fuel choice in the study area.

Implementation of policies to increase the income of households, ensuring the availability of clean cooking fuel source and the increase in the price of firewood will encourage households to switch from using firewood to using cleaner fuel sources such as kerosene, electricity and gas.

This study has contributed to the existing literature on household energy choice by conducting a micro-level analysis of households’ cooking fuel choice in Bauchi State where a similar study has not been conducted. The study developed approximately 13 hypotheses (out of which two were found to be irrelevant) and added one new variable to test the impact of the neighbourhood’s source of cooking fuel on households’ cooking fuel choice.

It is generally agreed that shortage of food, which is one of the main problems bedevilling Sub-Saharan African region, can be eliminated via the adoption of modern agricultural production technology, one of which is chemical fertiliser. The purpose of this paper is to assess the factors that can be used to improve the intensity of fertiliser use in rural Sub-Saharan African countries, taking Tofa, a local government area in Kano State, Nigeria, as the case study.

The study adopted a two-stage sampling technique. In the first stage, four districts were chosen using a simple random sampling technique from the list of the 15 districts in the local government area, namely, Tofa, Langel, Lambu and Doka. In the second stage, 25 farmer households were systematically selected from each of the selected communities. Moreover, Tobit Regression model was used to examine and analyse the influence of some socio-economic factors on fertiliser use intensity.

To improve the rate of fertiliser use intensity, farmers need to be exposed to skills and training on some off-farm jobs to raise the farmers’ income to enable them to afford more fertiliser. The study finds that income, contact with extension agent, age of the farmer and method of fertiliser application have positive significant impacts on the intensity of fertiliser use. On the other hand, price of fertiliser was found to have negative impact on the intensity of using fertiliser in the study area. Furthermore, based on the data obtained from the selected samples, the average rate of fertiliser application in Tofa local government area during the crop season of 2011/2012 was 25 kg per hectare.

Policies that will strengthen the farmers’ contact with extension agents throughout the farming periods should be adopted. Also, farmers need to be exposed with skills and training on some off farm jobs to raise the farmers’ income to enable them afford more fertiliser.

The purpose of this paper is to use the concept of meta-frontiers data envelopment analysis (DEA) to compare the technical efficiencies of banks in selected Southeast Asia countries in the periods of 1998-2012.

The authors evaluate bank efficiency in Indonesia, Malaysia, Thailand and the Philippines by means of DEA, and the authors employ a meta-frontiers approach to calculate efficiency scores in a cross-country setting.

The analysis shows that even there are some similarities in the process of financial reforms undertaken in the selected countries, the observed efficiency levels of banks vary substantially across the market.

It is crucial to take into consideration of different technologies in explaining the efficiency differences.

The purpose of this paper is to investigate the relationship among energy consumption (EC), carbon dioxide emission, economic growth, foreign direct investment, population, poverty, and income of four Association of South East Asian Nations (ASEAN) countries, namely, Malaysia, Singapore, Brunei, and the Philippines.

An econometric analysis was used to achieve the goal of this study taking the period of 1995-2014.

The results of the study motivated the researcher to recommend that four ASEAN countries, namely, Malaysia, Singapore, Brunei, and the Philippines should increase their energy efficiency, increase the share of green energy from their total energy use, and increase energy conservation in order to reduce the unnecessary wastage of energy.

The findings validate that economic growth, population, and income have positive and statistically significant impacts on EC, while carbon dioxide emission, foreign direct investment and poverty have negative impacts on EC for Malaysia. Economic growth, income and poverty have positive and statistically significant impacts on EC, while carbon dioxide emission, foreign direct investment and population have negative impacts on EC for Singapore. Carbon dioxide emission and foreign direct investment have positive and statistically significant impacts on EC, while economic growth, population, poverty and income have negative impacts on EC for the Philippines. Finally, economic growth, carbon dioxide emission and income have positive and statistically significant impacts on EC, while foreign direct investment, population and poverty have negative impacts on EC for Malaysia.

This study proposes a conceptual model and aims (1) to understand how co-creation experience influences guest engagement, (2) to analyse the effect of satisfaction and affective image between co-creation experience and guest engagement, and (3) to analyse the effect of guest engagement on behavioural intentions.

A questionnaire-based online survey was conducted targeting U.S.-based hotel customers. Developed on Qualtrics and distributed via Mechanical Turk, the survey garnered 465 useable responses from individuals who had visited international chain hotels within the last year. Data analysis was performed using Structural Equation Modelling (SEM) in IBM SPSS Amos.

The findings revealed significant direct effects of co-creation experience on affective image and guest satisfaction, with guest satisfaction notably influencing guest engagement, and guest engagement directly influencing behavioural intention. However, both co-creation experience and affective image showed minimal direct impact on guest engagement. The study also highlighted the importance of indirect effects and total effects in understanding the dynamics between the constructs analysed.

The findings revealed significant direct effects of co-creation experience on affective image, with affective image notably influencing guest engagement, and guest engagement directly influencing behavioural intention. Although satisfaction had direct effects on guest engagement, co-creation experience showed minimal direct impact on guest satisfaction and on guest engagement.

This study advises managers to use co-creation primarily to enrich guest experiences and establish emotional connections rather than as a tool for directly enhancing engagement. It recommends that managers invest in strategies to enhance guest engagement beyond co-creation given the direct link between guest engagement and behavioural intentions, and the minimal direct impact between co-creation, guest engagement and satisfaction.

This study demonstrates that affective image is a pivotal mediator between co-creation experience and guest engagement. The findings provide valuable implications for hospitality practitioners in designing and managing co-creation experiences, emphasizing the importance of fostering a positive affective image in the value co-creation process to attain positive behavioural outcomes.

This paper aims to investigate whether the conventional approach to estimating the private and social rates of return to education generates reliable findings when used in economies with chronically depressed labour markets.

Conventional techniques (the Mincer earnings function and the discounting method) are used to provide initial estimates of the private and social returns to education in Kosovo. However, this study argues that in countries with chronically depressed labour markets, such as in Kosovo, the conventional approach is likely to significantly underestimate the private and social returns from achieving a higher level of educational attainment. This study extends the estimation approach to take into account the greater probability of more highly educated Kosovars being: employed, employed in the formal and public sectors and having longer job tenure.

The extended approach to estimating rates of return to schooling generates higher private and social rates of return to education than the conventional approach. Moreover, in contrast to the findings of the conventional approach, the revised approach suggests that private and social rates of return are highest from completion of upper secondary and tertiary education.

The results indicate that if governments in economies with chronically depressed labour markets decide upon their educational priorities based on unadjusted rates of return, then resources may be misallocated.

The analysis presented in this paper suggests that conventional approaches to estimating private and social rates of return to education are not suitable for use in economies with chronically depressed labour markets. In addition, the paper provides the first comprehensive analysis of the rates of return to education in Kosovo. These results are used to provide a critique of the Kosovo Government’s recent educational priorities.

The present research investigates the effects of green supply chain management (GSCM) practices on customer behavioural intentions (e.g. word of mouth [WOM], willingness to pay [WTP] and revisit intention [RI]) and the mediating role of customer satisfaction (CS) in the hospitality industry in Bangladesh.

The authors applied a convenience sampling approach to distribute questionnaires and collect opinions from 404 customers who stayed in Bangladesh's five- and four-star hotels. SmartPLS was applied to examine the proposed hypothesised model.

GSCM practices have positive and significant impacts on CS and behavioural intentions of customers' WOM, WTP and RI. Additionally, CS mediates the association between GSCM practices and three behavioural intentions.

To boost their hotel's financial performance, hoteliers should allocate more resources to improving environmental sustainability practices in supply chain management.

This study's novel contribution to the literature rests in the findings regarding the mediating effect of CS. This adds value to the theory of planned behaviour. Another unique contribution of this study is that it combines three behavioural intentions (willingness to pay, RI and WOM).

This techno-centric and too much busy day-to-day living style of citizens pressurizes the implementation of E-ticketing service to adapt with change. Thus, this study aims to examine the factors influencing railway passengers’ E-ticketing service acceptance and usage intention in Bangladesh and to extend the widely used Technology Acceptance Model through inserting two new constructs.

This paper employs structural equation modeling to test model’s paths developed through theoretical research framework. Moreover, a structured questionnaire was administered at different railway stations in northern and western parts of Bangladesh to collect data. Total of 302 responses were considered for statistical analysis to test hypotheses after considering anomalies and outliers in raw data.

The study results show that technology trust (TT) has the strongest impact on passengers’ E-ticketing usage intention rather than perceived ease of use and perceived usefulness (PU). Meanwhile, the easiness of using technology to reserve tickets does matter to female passengers rather than male passengers wherein PU and TT do not do that.

The findings of this study might be helpful for the railway authorities to improve the ticket reservation service quality online by developing the advanced booking application and minimizing the pressure on other transportation. Therefore, this empirical study will contribute to this domain for further study that ensures full satisfaction of passengers and uplift the railway passengers’ usage intention for E-ticketing which then helps the government to implement the digitization slogan with efficiency and effectiveness.