scholarly journals Estimating vacancies from firms’ hiring behavior: The case of a developing economy

Author(s):  
Leonardo Fabio Morales ◽  
José Lobo

We propose a procedure that allows recovering an estimate of vacancies from firms’ information on hires and separations. Using estimated vacancies, we analyze the aggregated behavior of vacancies for the Colombian labor market. In addition, we estimate matching functions to conclude that the matching formation process for the Colombian labor market is random; this finding support the idea that frictions are mainly due to informational restrictions, and not explained by a structural mismatch. Our method might be useful in developing economies, where there are no good official sources of information on the matter.

Author(s):  
Solomon A. Keelson ◽  
Thomas Cudjoe ◽  
Manteaw Joy Tenkoran

The present study investigates diffusion and adoption of corruption and factors that influence the rate of adoption of corruption in Ghana. In the current study, the diffusion and adoption of corruption and the factors that influence the speed with which corruption spreads in society is examined within Ghana as a developing economy. Data from public sector workers in Ghana are used to conduct the study. Our findings based on the results from One Sample T-Test suggest that corruption is perceived to be high in Ghana and diffusion and adoption of corruption has witnessed appreciative increases. Social and institutional factors seem to have a larger influence on the rate of corruption adoption than other factors. These findings indicate the need for theoretical underpinning in policy formulation to face corruption by incorporating the relationship between the social values and institutional failure, as represented by the rate of corruption adoption in developing economies.


2021 ◽  
pp. 1-29
Author(s):  
Sangyup Choi ◽  
Myungkyu Shim

This paper establishes new stylized facts about labor market dynamics in developing economies, which are distinct from those in advanced economies, and then proposes a simple model to explain them. We first show that the response of hours worked and employment to a technology shock—identified by a structural VAR model with either short-run or long-run restrictions—is substantially smaller in developing economies. We then present compelling empirical evidence that several structural factors related to the relevance of subsistence consumption across countries can jointly account for the relative volatility of employment to output and that of consumption to output. We argue that a standard real business cycle (RBC) model augmented with subsistence consumption can explain the several salient features of business cycle fluctuations in developing economies, especially their distinct labor market dynamics under technology shocks.


Author(s):  
Hilal Atasoy ◽  
Rajiv D. Banker ◽  
Paul A. Pavlou

Job erosion is a major concern globally, especially given the COVID-19 pandemic. Unemployment and low wages remain pressing societal challenges in the wake of increased automation, more so for traditionally disadvantaged groups in the labor market, such as women, minorities, and the elderly. However, workers who possess relevant information technology (IT) skills may have an edge in an increasingly digital economy. In this study, we examine the role of IT skills in labor market outcomes for workers, using a household IT use survey from an emerging economy that captures detailed, individual-level data on IT skills, which are also integrated with data on workers’ wages, occupations, and industries between 2007 and 2015. The results indicate that basic IT skills increase individuals’ employment probability, which is driven by both higher labor force participation and a higher probability of transitioning from unemployment to employment, after accounting for the decision to participate in the workforce. Advanced IT skills do not provide a significant incremental effect on employment probability on top of basic IT skills. However, having advanced IT skills helps workers to earn higher wages while incrementally increasing the probability that they are employed in higher-paid jobs. Interestingly, the effect of basic IT skills on employment is significantly larger for the female and older workforce that typically has a higher preference for flexible work options. These results emphasize the importance of providing necessary IT access and offering basic IT training to traditionally disadvantaged groups to close the IT skills gap and the digital divide. We offer implications for the future of work, education, and public policy for designing IT training policies for workers, students, and organizations to stimulate employment with higher wages, particularly in developing economies and for traditionally disadvantaged segments of the workforce, such as women and the elderly, particularly after the COVID-19 pandemic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nathaniel Ayinde Olatunde ◽  
Imoleayo Abraham Awodele ◽  
Bosede Olajumoke Adebayo

Purpose The purpose of this study is to examine the impact of coronavirus disease 2019 (COVID-19) on indigenous contractors in a developing economy with a view to enhancing their performance. Design/methodology/approach The study used a purposive sampling technique to select 37 indigenous contractors with ongoing construction contracts in Osun State, Nigeria who provided data for the study. A structured interview protocol was used to elicit the required information from the interviewees and frequency, percentage and content analysis were used for data analysis. Findings The results showed that the critical impact of COVID-19 on indigenous contractors in a developing economy is: time overrun, loss of profit and creation of dispute. Further results showed that other impacts are a disruption in supply of labour, locally sourced materials are with additional cost, the additional cost of implementing COVID-19 protocols, difficulty in sourcing imported materials and absence of new jobs with the corresponding retrenchment of workers. Practical implications The study recommended special palliatives for the indigenous contractors from the government so as to cushion the impact of the pandemic on them, thereby enhance their survival and performance. A special arbitration panel is set up in each state of the federation to look at disputes arising from the aftermath of the pandemic, this is with a view to adequately compensate indigenous contractors with genuine and properly compiled claims. inferring from the findings of the study, it suffices to say that the severity of the impact of the pandemic is very high on indigenous contractors in developing economies, as such a better preparedness strategy could lessen the impact of such pandemic in the future. Originality/value The study is an attempt to unearth the impact of COVID-19 on indigenous contractors with ongoing construction contracts in a developing economy. The study will be of value to construction stakeholders in providing the information needed to devise strategies to minimise the impact of a pandemic on indigenous contractors in future projects thereby enhance their performance.


Author(s):  
G.J.P. Maas ◽  
P. Court ◽  
J. Zeelie

The worldwide trend towards outsourcing non-core, company-specific activities has a number of positive macroeconomic implications. The most notable of these is the contribution that this trend will have in promoting the growth of small, micro- and medium-sized enterprises. This, in turn, should stimulate the socioeconomic development of the environment by adding value at the lower levels of production. This paper sets out to document how the successful implementation of an outsourcing project was achieved in a developing economy and makes recommendations as to its successful replication in other developing economies.


Author(s):  
Frederick Edem Broni Jr. ◽  
Acheampong Owusu

Blockchain technology is an emerging innovation, and it is viewed as a better approach to help the necessities of people and institutions in terms of record management. Using the Delphi technique and the PERM model, this chapter seeks to present the perspectives of experts in the field of blockchain on the readiness of the institutions in developing economies to adopt and implement it. The findings suggest that the understanding of the technology, knowledge on how to use it, availability of skilled personnel, availability of technical components, risk, capital, management support, business process, policies and regulations, and government initiatives on technology are key influencing factors assessing the readiness to adopt blockchain in a developing economy. It is expected that these findings will enlighten practitioners on the prospects of the application of blockchain in all sectors. The originality of this study lies in the fact that it is a maiden exploratory study that examines the factors that influence the readiness to adopt and implement blockchain technology in a developing economy.


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