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Avoiding truck congestion and peaks in landside activity is one of the challenges to container terminal managers. The spreading of truck arrivals at terminals can be facilitated by widening the opening hours of terminals at the landside. Israel’s Ministry of Transport has instituted the “Good Night Program”, involving monetary incentives for importers and exporters who deliver containers to ports at night.

This paper aims to quantitatively examine the market utility resulting from shifting traffic from daytime to nighttime, and analyzes customer considerations regarding nighttime transportation.

The external utility found in the traffic-economics model is quite similar to the economic incentive given to customers. Therefore, a significant increase of the incentive is not feasible.

Furthermore, it seems that an incentive method by itself is not effective enough, and does not motivate customers to act and find creative solutions to the obstacles they face. To achieve a considerable change in nighttime transport to Israeli ports, more effective methods should be examined.

The authors provide a comprehensive review of existing turnover studies in Spain. The literature review reveals that research on voluntary turnover is scarce, while other types of mobility, such as involuntary separations, downsizing, and planned turnover through contract date expiration, have received substantial attention. The authors identify the main institutional characteristics of Spain and explain why these may contribute to the low incidence of voluntary turnover. Specifically, the authors note that employment protection legislation, high unemployment, high unemployment insurance, centralized collective bargaining, the composition of the sector, high power distance, and in-group collectivism are important drivers of the patterns observed in existing turnover studies. The authors also explore how some of the mechanisms and processes exposed by key turnover theories may be applicable to the Spanish context. This chapter highlights the importance of paying attention to the role of the institutional and cultural context to understand different mobility patterns in the labor market. The authors also suggest several avenues for future research including the study of different turnover types, employer and employee outcomes, cultural variations, and employment practices.

This article analyses the social capital's influence on the Spanish labour market. In particular, this study examines to what extent the social capital increases the likelihood of being employed, taking into account different labour market status, and diverse dimensions of the social capital. Focusing on wage earners, it is also analysed whether network structures in Spain influence on the wage earnings.

The methodology applied to analyse the labour market status is a multinomial logit model. For the analysis of wages, it is specified a wage model with sample selection bias. In both cases, social capital indicators are included as regressors.

The results show that social participation exerts a positive influence on the probability of being self-employed, and lowers the likelihood of being unemployed. Moreover, it is verified that the interaction with family members or close friends influence positively on wages.

Further research should emphasise how employers assess the workers' competences associated with the social capital.

The findings provide knowledge to policymakers useful to increase the role of social participation in the labour market.

The importance of social network as an instrument for the job search must be enhanced.

This article overcomes some drawbacks associated with the analysis of social capital from an aggregate perspective. Furthermore, social capital indicators are obtained using the Categorical Principal Components Analysis (CATPCA), which is unprecedented in the economic literature.

The purpose of this paper is to examine the effect of biased technology on employment distribution and labor status in income distribution of China. It also testifies a threshold effect of the capital per labor and employment distribution on labor status from biased technology.

This paper presents a normalized supply-side system of three equations to measure the bias of technology in China. Linear and threshold regressions approaches are applied over cross-province panel data to investigate the influence which biased technology has on labor status under different capital per labor and employment distribution regimes.

This paper empirically shows that technology has been mostly capital-biased in China. The regression results indicate that capital-biased technology impairs labor income status and tend to modify employment distribution and labor income between industries. Furthermore, it reveals the threshold effect of capital per labor and employment distribution on the relationship between biased technology and labor status.

This paper extends the literature by explaining labor status from the perspective of biased technology and the effect of inter-industry employment distribution in China. It further explores the asymmetric effect of biased technology on labor productivity and income, which promotes inter-industry labor mobility and modifies employment distribution. This paper highlights the implications of this explanation for labor relations and human resource management.

The purpose of this paper is to provide estimates of factor income shares for 79 developed, developing and transition economies representing close to 90 percent of the world output and to test for income share convergence.

The paper uses data from the United Nations National Accounts and World Bank World Development Indicator databases and the factor-income-share estimation methodology developed in Bernanke and Gurkaynak (2001) and Gollin (2002).

The authors estimate indicated that the average levels of capital income (profit) shares in developing and transition countries are 1.4-1.5 times higher than in developed economies. During the period studied, profit shares in all groups of countries trended upwards. As a result, the “global” profit share increased thus extending the “labor share squeeze” of the 1980s and 1990s.

The finding of persistent and significant differences in factor shares in countries of different development levels calls into question the assumption of uniform factor shares’ often made in studies of economic growth. The detection of a broadly based upward trend in profit shares has implications for studies of income distribution and inequality.

The paper's contribution is in providing updated estimates of factor income shares for the broad sample of countries, including in particular transition economies, not covered in previous studies; confirming the positive link between profit share and country's income level; countering claims of factor income convergence and establishing the upward trend in “global” profit share.

Purpose – The purpose of this chapter is to shed new light on the effects of labor market institutions and the economic conditions on self-employment composition that may help the development of a comprehensive strategy to promote job creation and sustained economic growth in the post-2009 era.

Methodology/approach – Using microdata from the European Community Household Panel for the EU-15, we analyze the effects of employment protection legislation, start-up incentives, and economic conditions on transitions from unemployment and paid employment to self-employment, as well as on self-employment survival, with a special focus on the differentiated effect of these variables on different types of self-employment.

Findings – The empirical results suggest that the coexistence of recession periods, start-up incentives, and strict employment protection may be distorting the occupational choice against true entrepreneurs and favor less entrepreneurial forms of self-employment – such as last resort or dependent. Therefore, the differentiated effect of the regulatory environment and the economic conditions over different forms of self-employment – that contribute to job creation, growth and innovation processes in a different manner – may help explaining the different incidence in terms of employment of the economic crisis across countries.

Social implications – During deep recessions, stringent labor regulations might prompt that public expenditure designed to move the unemployed back to employment favors atypical forms of employment outside the scope of labor laws, deteriorating employment rights, and the social protection of workers. As a consequence, the interaction of different LMI and the business cycle should be considered when defining the regulatory environment.

This paper aims to analyze the question of how household indebtedness impacts households’ incentives to search for and accept work after displacement.

To analyze the relationship between household indebtedness and unemployment duration, this paper applies standard proportional hazard models. For data, this paper relies on the longitudinal US National Survey of Income and Program Participation (SIPP), covering the period between 2008 and 2012.

The findings show that a 10% increase in household debt increases the likelihood (hazard) of leaving unemployment by 0.2%–0.4% points. Independent of measuring a household's indebtedness and in light of a series of robustness tests, the results indicate that the pressure of servicing an existing debt burden forces individuals to return to work.

From a policy perspective, the research findings support the notion that household indebtedness plays an important mediating role for labor market outcomes through influencing households’ incentives to return to work after displacement. This finding has important implications for the design of effective policy responses to mass layoffs during the current pandemic.

A key innovation of the research is that we can show that household indebtedness impacts the labor supply side. From a macroeconomic perspective, this insight is important in better understanding the role of increased indebtedness (and financialization) in amplifying aggregate macroeconomic dynamics.

In developing countries, banks play a major role by acting as a conduit for the effective mobilization of funds from the surplus sectors of an economy for onward lending to the deficit sectors for productive investments that will in turn increase the level of employment and economic growth. There has being a rising trend in unemployment rate in Nigeria and South Africa and hence, the need for the study to assess the effectiveness of banking system credit in curbing unemployment rate by making a comparative analysis of Nigeria and South Africa covering the period of 1991–2018.

The study employed the unit root test, Johansen cointegration test, vector error correction model and VAR impulse response function in determining the relationship between the variables.

The major findings revealed that banking system credit matters in curbing unemployment rate in South Africa than in Nigeria. Also, other macroeconomic factors such as lending rate, inflation rate, Government expenditure and population growth were significant enough in influencing unemployment rate in South Africa than in Nigeria. Foreign direct investment was a significant factor in reducing unemployment rate in Nigeria than in South Africa. The cointegration test showed a long-term relationship between the variables in both countries while the speed of adjustment coefficient of the vector error correction model is faster in South Africa than in Nigeria.

Previous empirical studies on the relationship between banking system credit and unemployment rate have focused much on other regions such as Asia and Europe. Thus, the study is unique as it focused on the African region and also made a comparative analysis by testing the Keynesian theory of employment, interest and money on two emerging African economies which are Nigeria and South Africa.