Autocorrelated disturbances in the light of specification analysis

The paper reconsiders the problem of autocorrelation among disturbances caused by the omission of some regressors from a single-equation regression model. Regression coefficients and disturbances of the misspecified model have been redefined appropriately. Performance of the OLS method of estimation of these regression coefficients and that of the Durbin-Watson test of randomness of disturbances have been studied. Some of the alternative methods of estimating the regression coefficients in situations where the disturbances are autocorrelated heve been examined. It appears that these methods can no longer be used if the autocorrelation is due to omission of regressors.     

The Joint Estimation of Child Participation in Schooling and Employment: Comparative Evidence from Three Continents

This paper uses data from Peru, Pakistan and Ghana to analyse simultaneously child labour and child schooling, and compares them between these countries. We use a multinomial logit estimation procedure that analyses the participation and non-participation of children in schooling and in employment and, in particular, allows the possibility that a child combines schooling with employment or does neither. We also use an ordered probit estimation procedure based on a ranking of the various child schooling/employment/non-schooling/non-employment outcomes. The results point to both similarities and striking dissimilarities in the nature of child labour and child schooling between the chosen countries. For example, in Pakistan, but not in Peru, the girl child's ordering of schooling/employment outcomes shows her at a position of extreme disadvantage. Household poverty discourages a child from achieving superior outcomes, but the effect varies markedly across the three countries.     

The difficulties of supplying new technologies into highly regulated markets: the case of tissue engineering

This study provides an insight into the difficulties companies encounter in transposing basic science into commercially viable healthcare technologies, focusing on the issue of establishing a dominant supply model within a highly regulated market. The core issue is how to scale-up customised scientific processes into products able to supply wider and possibly mass markets. In tracing the development of approaches to scaling-up, the paper highlights the influence regulatory regimes have on high technology regulated products and services. The paper details the implications of two contrasting supply initiatives towards operationalising tissue engineering, based on differences in regulatory regimes between Europe and the USA.     

Meaning-oriented consumption: A systematic review and research agenda

The quest for finding meaning in life is central to human existence. Evidence supporting consumption as a source of meaning in life is scant and lies in discrete studies across multiple disciplines. We call consumption that engenders a sense of meaning in life ‘meaning-oriented consumption’. In this paper we conduct a systematic literature review of 102 papers, using the Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) (Paul et al. (2021). International Journal of Consumer Studies, 45(4)). We draw on the theory of meaning in life to arrive at a theoretically grounded conceptualization of meaning-oriented consumption. We discuss the antecedents and consequences of meaning-oriented consumption, categories and processes that make consumption meaningful. We gather insights into the relationship between hedonic and meaning-oriented consumption. Finally, we identify knowledge gaps in theory, context, constructs and methodology. This review identifies several consumption contexts and situations that offer potential for marketers to design meaningful offerings.     

Global talent management by multinational enterprises post-COVID-19: The role of enterprise social networking and senior leadership

Multinational enterprises' (MNEs') workforce is made up of people from diverse backgrounds and different locations around the globe. The cross-border transfer of knowledge, skills, and best practices among MNE employees is important to maintain global standards and competitiveness. In the post-COVID-19 period, there is a greater need to exchange knowledge in the changing business environment. The purpose of this study is to examine the issues related to MNEs' global talent management, post-COVID-19. The study investigates the use of enterprise social networking applications for better knowledge exchange and tries to understand the moderating role of senior leadership team support in facilitating the usage of enterprise social networks for cross-border collaboration and talent management. After reviewing the literature and relevant theories, we developed a conceptual model, which is then validated using the SEM technique with 347 respondents from 12 MNEs. The study reveals the importance of using enterprise social networks for cross-border knowledge exchange in the post-COVID-19 period.     

Oil price shock and informal workers in dual labor markets

This paper examines the impact of a rise in oil prices on the wages of workers in the unorganized sector of a developing economy. The model economy is comprised of two non-traded transport sectors, formal and informal, along with other sectors. The main results that we obtain are as follows. The informal transport sector contracts when fuel price rises and lowers the real income of the informal workers. The per-unit return to land rises, and the factor readjustments even raise the output of other sectors in the economy. We also show why inclusion of non-passenger transport services does not alter the main outcomes of the model.