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This paper investigates the role of cultural differences in the acceptance of new products, as moderated by socio‐economic variables. In order to assess the relationship, an analysis utilizing Hofstede's cultural dimensions, along with secondary data representing socio‐economic structure and the penetration rate of new products was undertaken. The results demonstrate that power distance and uncertainty avoidance hinder the acceptance of new products. Also found is that individualism has a positive effect but the masculinity dimension has no significant effect on the diffusion of new products. The findings regarding the moderation effects of the socio‐economic variables are mixed.

The Swedish government is likely to implement longer and heavier road freight vehicles, so-called high-capacity vehicles (HCVs), in the near future. The purpose of this paper is to analysis the expected effects on the whole transport system regarding tonne-kilometres, vehicle-kilometres on road, CO₂ and socio-economics with three possible implementation strategies (HCVs on all roads, a designated road network and a designated road network with a kilometre-based truck charge) and two vehicle types (74 t/25.25 m and 74 t/34 m).

Calculations are based on two well-established scenarios for transport development in Sweden. Changes per tonne-kilometre are modelled for ten product groups with considerations taken to their transport networks. Socio-economic effects are analysed using the net present value rating method over a 40-year period.

The study shows the increase in demand for transport and the modal shift, from rail and sea to road, in terms of tonne-kilometres, vehicle-kilometres and CO₂ emissions for three implementation strategies of HCVs in two scenarios. All implementation strategies show a positive social net-benefit with the introduction of HCVs.

The results reveal potential benefits to the implementation of HCVs. The results are limited by possible over/under-estimations of effects considered in the calculations, due to uncertainties and assumptions.

The results highlight expected levels of modal shift and induced transport for different HCV implementation strategies and how they depend on transport and climate policies and the expected growth of tonne-kilometres.

The calculations consider socio-economic effects, particularly from increased CO₂ emissions due to modal shift and induced traffic, which is lacking in previous studies. To balance conflicting economic and environmental goals, the findings indicate that the implementation of HCVs could be accompanied by other policy measures. The findings are based on the Swedish context, but the model can be adapted to other countries or regions and to study other freight transport reforms.

This study aims to examine the housing outcomes of natives and multiple generations of non-natives using a longitudinal survey data in Britain.

The authors use longitudinal data from Britain, in which they can observe multiple generations of immigrants and their demographic and economic information.

The probability models for housing tenure reveal significant variation in the outcomes which are robust to several econometric specifications.

As migration and its impact on local economy is a highly debated topic across several major regions of the world, the findings bring out important insights with policy implications. The research is limited by the sample size of the longitudinal survey.

The empirical evidence on the topic is quite limited with mixed findings. Especially, the authors’ ability to look through multiple generations is unique in identifying the variation in housing outcomes for the native and non-native citizens.

The purpose of this paper is to examine the impact of socio‐economic variables on households' food demand. This paper derived the indirect utility function in terms of expenditure and price through the use of nonlinear demand quadratic almost ideal demand system (QUAIDS) model to estimate price, expenditure and elasticities of food items consumed in the North‐Central, Nigeria, and the impact of the socio‐economic variables on households' food demand.

The primary data used came from random selection of 396 households between 2006 and 2007 through a stratified random sampling procedure from Kwara and Kogi states making up the North Central zone in Nigeria.

All own price elasticities of the six food groups analyzed (root and tubers – RT, cereal – CR, legume – LG, animal protein – AP, fruits and vegetable – FV, fats and oil) showed that they are price inelastic. The results of income elasticity show that AP consumption is the most sensitive to income changes, while fats and oil is the least sensitive to income changes. Factors that positively and significantly affected demand for LG, FV, AP, CR and RT were household size (HSZ), level of education, primary occupation, access to credit, presence of children ≤6 years mainly at P<0.01. HSZ (P<0.01) negatively affected demand for AP.

This paper is original and novel in that it examines the impact of socio‐economic variables on households' food demand. High‐income elasticities of demand for all the food groups in QUAIDS except fruits and vegetable, as well as fats and oils, suggests that income‐generating policies will foster higher levels of consumption for these commodities.

Driven by higher profit incentives, banks’ marketing strategies have tended increasingly to exclude sections of the retail market on socio‐economic lines. Ironically, these strategies are now seen to have profitability and social responsibility implications. Little previous attempt has been made to quantify the relationship between bank service access and the determinants that act as deterrents, to improve general understanding of the extent of exclusionary influence of each determinant and the relevant implications. This study examines quantified relationships using the Probit model and data collected through primary research from a developing economy in the Asia Pacific region. Results show that bank‐driven pricing strategies may have an overriding effect on other factors. The analysis demonstrates that profits may be increased, socio‐economic exclusionary effects reduced and social image improved by voluntarily reconsidering pricing and other bank‐driven exclusionary strategies.

In this paper I will analyse the nature of the relationship between area and health in cities. Although it has long been known that mortality and morbidity are unevenly distributed within urban environments (Stamp, 1964; Learmonth, 1988) it remains problematic as to how these differences should be explained. In the present paper I will present detailed information on the spatial distibution of mortality, morbidity, and health services in cities and consider the explanations which have been put forward to account for them. Research which has considered this topic covers various fields; medical geography, medical ecology, epidemiology, and sociology, and has utilised numerous methodological approaches, from straightforward mapping techniques to complex multi‐variate analysis. Research has also been carried out across the world. However, because differences in the political and social organisation of cities can have an effect on health, and these structural differences vary from country to country, I have restricted the current review to work carried out in the cities of the developed world as studies are more comparable.

The goal of this study is to analyze the relationship between public governance and COVID-19 vaccinations during early 2021 to assess the preparedness of countries to timely policy responses to cope with pandemic crises.

This global study elaborates descriptive statistics, correlations, regression analyses and Independent Samples T-Test on 112 countries, comparing those with high/low level of governance, to determine whether statistical evidence supports the hypothesis that good governance can improve the timely administration of vaccines.

Bivariate correlation reveals that doses of vaccines administered × 100 inhabitants have a high positive association with the General Index of Governance (r = 0.58, p-value <0.01). The result is confirmed by partial correlation (controlling density of population per km²): r = 0.584, p-value <0.001. The coefficient of regression in the models also indicates that an increase in the General Index of Governance improves the expected administration of doses of COVID-19 vaccines (p-value <0.001).

Although this study has provided interesting results that are, of course, tentative, it has several limitations. First, a limitation is the lack of data in several countries. Second, not all the possible confounding factors that affect the vaccination against COVID-19 are investigated, such as country-specific health investments and expenditures, and these aspects should be examined in the future development of this research. A third limit is related to the measurement of governance through the World Governance Indicators, which are based only on perceptions and can be biased by different socio-economic factors.

The identification of factors determining the timely vaccinations may help to design best practices of health policy for improving the resilience of countries to face pandemic crises.

The improvement of preparedness of countries through good governance can foster a rapid rollout of vaccinations to cope with pandemic threats and the negative effects of their socio-economic impact.

This study presents a global analysis of the role of public governance for timely vaccinations to face pandemic crises in society.

Iran as an energy‐rich country faces many challenges in the optimal utilization of its vast resources. High rates of population and economic growth, a generous subsidies program, and poor resource management have contributed to rapidly growing energy consumption and high energy intensity over the past decades. The continuing trend of rising energy consumption will bring about new challenges as it will shrink oil export revenues, restraining economic activities. This calls for a study to explore alternative scenarios for the utilization of energy resources in Iran. The purpose of this paper is to model demand for energy in Iran and develop two business‐as‐usual and efficiency scenarios for the period 2005‐2030.

The authors use a techno‐economic or end‐use approach to model energy demand in Iran for different types of energy uses and energy carriers in all sectors of the economy and forecast it under two scenarios: business as usual (BAU) and efficiency.

Iran has a huge potential for energy savings. Specifically, under the efficiency scenario, Iran will be able to reduce its energy consumption 40 percent by 2030.The energy intensity can also be reduced by about 60 percent to a level lower than the world average today.

The paper presents a comprehensive study that models the Iranian energy demand in different sectors of the economy, using data at different aggregation levels and a techno‐economic end‐use approach to illuminate the future of energy demand under alternative scenarios.

Engages with the call for more case study research and provides an example of a methodology informed by a Habermasian approach. Seeks to clarify the methodology and the methods adopted and provides an example of “middle range” thinking (Laughlin, 1995). Extends the insights provided by Laughlin (1987) in his argument for the adoption of critical theory and can be seen as entering into a discourse with this earlier work. Located in the context of an ongoing programme of research in the UK public sector, seeks to provide an exemplar of the application of a Habermasian discourse‐based approach, as well as providing an analysis of the strengths and weaknesses of the approach in practice. In the spirit of “middle range” thinking appears to use the frameworks provided as a foundation from which to commence the research process, yet use the experiences gained in undertaking the research as a way to develop the frameworks themselves.