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Factors influencing air cargo policy decisions and implementation in Nigeria: a stakeholder’s perspective

Adenigbo Adedotun Joseph, Mageto Joash, Luke Rose

Transport Problems

2023

T. 18, z. 4

33--45

Policies are supposedly made such that their implementation for present growth does not hamper future development. However, it has been challenging to effectively implement some policy decisions based on stakeholders’ reactions to their sustainability in the air cargo industry. This paper examined the factors affecting air cargo policy decisions and their implementation in Nigeria by employing the quantitative research method and conducting a survey of stakeholders by random sampling at the Lagos International Airport through a well-designed research questionnaire. The data collected were analyzed using exploratory factor analysis (EFA) and partial least square structural equation modeling (PLS-SEM). Before estimating the PLS-SEM model, latent factors were constructed using EFA. The results reveal that the factors affecting the air cargo policy decisions and implementation include the policy formulation process, stakeholders’ interests and commitment, policy goals and implementation, and corruption and governance. The results imply that fundamental public policy issues prevail in Nigeria’s air cargo sector development programs. This study provides insight into the reasons behind opposition to implementing certain air cargo policy decisions in Nigeria. It offers directions for addressing the problems of poor policy decisions that do not guarantee future development. In practice, the study advocates the all-inclusive stakeholders’ involvement in Nigeria’s policy formulation process for the air cargo industry.

Occupational composition of an economy and effective retirement age across European countries: an econometric analysis

Chybalski Filip

Operations Research and Decisions

2022

Vol. 32, No. 3

65--79

In this study, panel regression models for 21 European countries and data covering the period between 2008 and 2014 were used to demonstrate that the distribution of working population across different occupational groups explains cross-country differences in terms of the average effective retirement age. Thus, while the great majority of previous studies verified the causal trade-off investigated on the basis of single-country micro data with reference to one economy, this study takes perspective of cross-country diversity in terms of the investigated relationship. The confirmed link holds even when controlling inter alia for health status, education, unemployment, old-dependency ratio, interest rate, GDP per capita, or the share of salaries and wages in GDP. An important practical implication for the policy-makers is that decisions limited only to the increase in the universal pensionable age cannot be effective, since the occupational composition of an economy is very relevant.