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We use data from the World Values Survey to describe and compare levels of confidence in the civil service in a series of countries, and study determinants of this confidence. Instead of focusing on citizen satisfaction with specific public services in a specific country, we analyze citizens’ general attitudes toward the public administration or civil service, and compare these attitudes internationally. We fit 60 identical regression models, to test for the impact of a series of socio-demographic and socio-economic variables in each of the countries. We finish by comparing the determinants in each of the countries, and test whether cultural or regional patterns emerge.

If the only difference between cities lies in their initial housing prices, the initially lower-price cities should eventually catch up with the initially higher-price ones, i.e., “absolute convergence.” Alternatively, if the major determinants of housing prices are city-specific, cities will converge to parallel growth paths of housing prices, i.e., “conditional convergence.” This study tests for the existence of absolute and conditional convergence in house prices among cities in China. The strong evidence for conditional convergence suggests that each city possesses its own steady-state housing price to which it is converging, which depends on the city's own socio-economic characteristics. In other words, differences in these socio-economic characteristics among cities can create permanent differences in housing price among them. The differences in steady-states house price across cities reflect differences in the level of socio-economic development among them. The findings inform the kinds of interventions and resources that are most likely to be effective in reducing income disparity.

The resistance of the energy sector in recent time has been tried by COVID-19 as the occurrence has added to the dampening down demand for crude oil which has resulted in volatility in prices and dwindling production of crude oil at the global crude oil market. Dwindling demand and price decline can also be perceived as a trend in the electricity sector, the electricity price (ELECTP) and consumption. The consequences of individual policy response by countries in relation to the socio-economic impact of COVID-19 is yet to be known, and recent studies conducted in the continent are yet to document the impact of the pandemic on the oil-producing African countries. It is in the light of this that this study determined the effect of socio-economic shocks activated through the COVID-19 pandemic on the energy sector performance and economic development of Africa. Monthly data were sourced from the United States Energy Information Administration, COVID-19 geographic distribution worldwide, World Development Indicator and Trading Economics from 2019 (m12) to 2020 (m10). Seventeen oil-producing African countries were selected across the region based on data availability. The structural panel vector auto regression (SPVAR) analytical technique was used in estimating COVID-19 pandemic and socio-economic shocks on the energy sector performance proxied by oil production (OILP), ELECTP and economic development proxied by gross domestic product per capita (GDPPC) of the countries. Findings revealed that the COVID-19 pandemic transmits a negative shock to OILP and GDPPC while a positive shock is transmitted to ELECTP. The socio-economic variables also transmitted both the positive and negative shocks to OILP, ELECTP and GDPPC. Therefore, the study recommended that policies should be directed towards putting in place a shock-absorbing mechanism so as to cushion the effect of the identified shocks on the performance of the energy sector and the economic development of the countries.

In this chapter, we investigate the effects of vulnerability on income and employment in Bosnia and Herzegovina, Croatia, Montenegro, and Serbia using a unique 2004 UNDP dataset. Treating the collapse of the former Yugoslavia as a natural experiment, we compare three groups that have been differently affected by the wars and post-war distress: the majority as the benchmark, the ex ante and ex post vulnerable Roma people, and the ex ante equal but ex post vulnerable refugees and internally displaced people (RIDPs). Our findings reveal significant negative effects of vulnerability on income and employment. RIDPs seem to be about as negatively affected as Roma across the four states, which indicate that vulnerability inflicted by relatively recent displacement may have similar effects as vulnerability rooted deep in the past. When we look at education as one of the key determinants of socio-economic outcomes, both groups exhibit similarly substandard educational outcomes of children and significant inertia in intergenerational transfer of human capital. Our findings highlight the need for policies that not only tackle vulnerability as such, but address the spillover effects of current vulnerability on future educational attainment.

Purpose — The purpose of this chapter is to assess empirically the levels of trust across the world and to explore possible differences in the levels of trust among different groups of respondents.Design/methodology/approach — We analyze the individual-level data from 81 countries around the world using latest available European Values Study (EVS) and World Values Survey (WVS) datasets (most data refer to the year 2008). Methodologically, we compose three trust indicators using confirmatory factor analysis and then compare the level of trust in different groups. After that we calculate country-level means of trust indicators and use these as inputs in cluster analysis.Findings — The results of our empirical analysis show that the level of trust among supervisors do not differ significantly from the overall level of trust in a society, supporting the hypothesis that honesty and trust tend to be contagious. Still, there are statistically significant differences in trust levels between almost all explored population groups which were composed on the basis of previous theoretical and empirical literature.Limitations — Our analysis covered only selected socio-economic determinants of trust. It would be reasonable to add some contextual or systemic factors at the level of nation (like GDP per capita, quality of formal institutions, society’s polarization, or others) into further analysis.Originality/value — Our analysis distinguishes between three different types of trust which are studied both at individual and national level. Also, differences between age groups and educational groups, men and women, religious and non-religious persons are examined. Finally, we compare the levels of trust of those supervising someone with the average trust levels in the society as a whole.

The purpose of this contribution is to review the theoretical and empirical literature on the economic determinants of terrorism.

Review of the relevant academic literature.

This contribution shows that there is a theoretical foundation to the popular hypothesis that poor economic conditions are conducive to terrorism. A review of the empirical evidence on the economic determinants of terrorism, however, yields an inconclusive result. Some studies find that economic conditions (directly and indirectly) matter to terrorism, whereas a plurality of studies suggest that noneconomic factors are more important.

The findings of the survey indicate that it is unlikely that economic conditions are universal determinants of terrorism. By pointing at several avenues of future research (e.g., a focus on the role of ideology in terrorism), this contribution, however, argues that the opposite also does not need to be true. The influence of economic factors on terrorism should neither be overemphasized nor completely ruled out.

The contribution offers a comprehensive overview of the economy–terrorism nexus and hints at promising areas of future research.

This chapter addresses the following questions: To what extent do the socio-economic characteristics of circular/repeat migrants differ from the migrants who return permanently to the home country after their first trip (i.e. return migrants)? And, what determines each of these distinctive temporary migration forms? Using Albanian household survey data and both a multinomial logit model and a maximum simulated likelihood (MSL) probit with two sequential selection equations, we find that education, gender, age, geographical location and the return reasons from the first migration trip significantly affect the choice of migration form. Compared to return migrants, circular migrants are more likely to be male, have primary education and originate from rural, less developed areas. Moreover, return migration seems to be determined by family reasons, a failed migration attempt but also by the fulfilment of a savings target.

In this paper we examine cross-country evidence on the status of women in the Middle East and North Africa, where high female illiteracy, fertility and maternal mortality rates are observed. We introduce a new concept, “female endangerment”, and construct a composite index using these three components, to look at female endangerment in the region. We argue that gender empowerment cannot be properly assessed independently of women's deprivation. We take a first step of identifying the socio-economic determinants of female endangerment and their relationship to other development correlates.