scholarly journals Factors Influencing Intention to Use Mobility as a Service: Case Study of Gyeonggi Province, Korea

2021 ◽  
Vol 14 (1) ◽  
pp. 218
Author(s):  
Eunjeong Ko ◽  
Yeongmin Kwon ◽  
Woongbee Son ◽  
Junghwa Kim ◽  
Hyungjoo Kim
Keyword(s):  
Public Transportation ◽  
Probit Model ◽  
Service Planning ◽  
Marginal Effect ◽  
Intention To Use ◽  
Effect Analysis ◽  
Demographic Groups ◽  
Factors Influencing ◽  
Transportation Service ◽  
Primary Means

Mobility as a service (MaaS) integrates various transportation modalities and connects these modalities to enable users to travel from departure points to destination points. The objectives of this study were to analyze the factors influencing the intention to use MaaS and determine a direction for the implementation of this service. Hence, this study utilized an ordered probit model and marginal effect analysis. Specifically, a survey was conducted based on citizens living in Gyeonggi-do, South Korea, to prepare logical MaaS operation measures customized in this province. Subsequently, variables related to MaaS were classified, and statistical analysis was performed based on these variables. The need for integrated transportation service, intention to use shared mobility, gender, household income, and region are found to have significant effects. Moreover, demographic groups with high levels of intention to use MaaS were identified. Finally, the intention to use MaaS was found to be mainly affected by whether public transportation was the primary means of transportation or whether the subjects spent a comparatively long time commuting. It is expected that these findings will serve as the basis for MaaS implementation in the future and will also be used as fundamental data for transportation service planning.

scholarly journals Determinants of Small-Scale Mechanization for Potato Farming: A Case from Bangladesh

2021 ◽  
Vol 7 ◽  
pp. 75-82
Author(s):  
Moniruzzaman ◽  
Md. Sadique Rahman ◽  
Md. Hayder Khan Sujan
Keyword(s):  
Probit Model ◽  
Policy Implications ◽  
Farm Size ◽  
Small Scale ◽  
Marginal Effect ◽  
Public Agencies ◽  
Effect Analysis ◽  
Farm Mechanization ◽  
And Training ◽  
Potato Farm

Identifying the determinants of farm mechanization can play a crucial role in the agriculture sector’s development. The present study identifies the determinants of potato farm mechanization employing the ordered probit model. A total of 150 potato farmers were interviewed to achieve the objectives. The findings indicate that only around 13% of the respondents were high adopters. The adoption of potato farm mechanization was influenced by education, spouse education, farm size, and training. Marginal effect analysis suggested that farm size and training decrease the likelihood of being in the low adopter’s category, respectively, by 13.2% and 10%, while increases the likelihood of being in the high adopter’s category by 7.5% and 5.7%. Policy implications included more investment in extension facilities such as training from public agencies to sustain and increase adoption. Modifying the existing extension strategy by targeting not only primary farmers but also members of their families would help with the widespread adoption of farm mechanization.

scholarly journals Factors influencing the migration intention of dental and medical graduates in developing countries

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
S Hajian ◽  
M H Khoshnevisan ◽  
S h Yazdani ◽  
M P Jadidfard
Keyword(s):  
Developing Countries ◽  
Developing Country ◽  
English Language ◽  
Health Workers ◽  
Service Planning ◽  
Primary Data ◽  
Pull Factors ◽  
Factors Influencing ◽  
Migration Decisions ◽  
Push And Pull

Abstract Background Migration of skilled health workers could result in shortage of human resources and rising inequalities in service provision in source countries. To date, most of relevant papers are focused on rate and reasons of migration while the need for conducting studies on modelling of factors is more vividly felt. The aim of this review was to determine the factors influencing the migration decisions of medical and dental graduates migrating from developing countries and to introduce a practical conceptual framework for health worker migration. Methods Electronic databases PubMed, Google Scholar and relevant Journals were systematically searched for English language publications from January 2009 to April 2019. The inclusion criteria were: 1) article stated factors affecting migration decisions of medical doctors and/or dentists, 2) the source country in the study was a developing country, 3) participants’ primary qualification country was in a developing country,4) the study used primary data both qualitative or quantitative. Results The search identified 814 articles from which we included 23 full-text studies after applying eligibility checklist. Push and pull theory was the most popular model to describe the migration driving factors. Poor socio-economic situation, political instability, lack of professional and educational opportunities together with family concerns found as strong common push factors that perpetuate migration. The most influencing pull factors were desire for better quality of life, career and training opportunities and financial gain. Conclusions Despite the fact that health workers migrate for different reasons, they follow a same route for decision to stay or leave their own countries. Un-fulfillment of expectations in mother land in addition to media reconstructed reality of life in foreign land can develop a positive attitude for migration Which should be considered before weighing up the push and pull factors of both sides. Key messages A better understanding of the migration motives of health professionals will help health authorities to improve their workforce recruitment and retention strategies and health service planning. Our simple yet comprehensive framework can mainly identify the development of migration desire through combining different models and concepts of migration, behavioral change, values, needs and so on.

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