Investigating the energy efficiencies of OECD countries via a slack-based undesirable output model

Author(s):  
Fazil Gokgoz ◽  
Serap Pelin Turkoglu
2022 ◽  
Vol 14 (2) ◽  
pp. 972
Author(s):  
Chia-Nan Wang ◽  
Tran Quynh Le ◽  
Ching-Hua Yu ◽  
Hsiao-Chi Ling ◽  
Thanh-Tuan Dang

The efficiency of land transportation contributes significantly to determining a country’s economic and environmental sustainability. The examination of land transportation efficiency encompasses performance and environmental efficiency to improve system performance and citizen satisfaction. Evaluating the efficiency of land transportation is a vital process to improve operation efficiency, decrease investment costs, save energy, reduce greenhouse gas emissions, and enhance environmental protection. There are many methods for measuring transportation efficiency, but few papers have used the input and output data to evaluate the ecological efficiency of land transportation. This research focuses on evaluating the environmental efficiency for land transportation by using the data envelopment analysis (DEA) method with undesirable output to handle unwanted data. By using this, the paper aims to measure the performance of land transportation in 25 Organization for Economic Co-operation and Development (OECD) countries in the period of 2015–2019, considered as 25 decision-making units (DMUs) in the model. For identifying the ranking of DMUs, four inputs (infrastructure investment and maintenance, length of transport routes, labor force, and energy consumption) are considered. At the same time, the outputs consist of freight transport and passenger transport as desirable outputs and carbon dioxide emission (CO2) as an undesirable output. The proposed model effectively determines the environment-efficient DMUs in a very time-efficient manner. Managerial implications of the study provide further insight into the investigated measures and offer recommendations for improving the environmental efficiency of land transportation in OECD countries.


2014 ◽  
Vol 11 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Jonathan Chaloff

The growing complexity of selection criteria for discretionary labour migration in OECD countries has been accompanied by an expanded demand for labour market analysis and consultation with stakeholders. While some features of general or detailed criteria may be fixed in legislation, numerical quotas or targets, shortage lists, and multiple-criteria points-based systems are generally subject to periodic review and revision based on labour market data and consultation with stakeholders. Official government bodies have maintained co-ordination of this process, with varying degrees of externalization. In most countries expertise is internal, with recourse to external mandated bodies rare. In almost all cases, however, the process is designed to promote consensus around the policy while maintaining political control.


Author(s):  
Dinh Thi Thanh Van ◽  
Nguyen Thuc Trang

Financial inclusion and startup are two topics, which recently get attention of academic researchers and policy makers in Vietnam. One of the important factors for setting up a successful startup is the financial capability of the owners. Therefore, financial inclusion has a strong correlation with startup establishment. This article tested the effects of several factors in financial index (findex) developed by World Bank on startup establishment in some OECD countries. The result showed that borrowing from friends and relatives along with from credit institutions and opening a debit account at banks have  significant impacts on startup establishment in these countries. Finally, the article presented several recommendations for policy makers to stimulate the startup growth in Vietnam in the next time. Key words startup, financial inclusion, startup establishment References 1. Colman Msoka (2015), “Financial inclusion and microfinance in Tanzania”, Inclusive growth: Tanzania Country Report2. Endeavor-GEM, 2011, “High-Impact Entrepreneurship Global Report”3. Eric Ries, 2012, “The Lean Startup” book”, http://www.stpia.ir/files/The%20Lean%20Startup%20.pdf 4. European Startup Monitor, 2015, “European Startup Monitor 2015”, http://europeanstartupmonitor.com/fileadmin/presse/download/esm_2015.pdf 5. Jennifer Dahlin Ivarsson (2014), “Mobile-banking and entrepreneurship: Is there a link? A case study on South Africa”, Nationalekonomiska Institutionen, Box 7082, ISSN 0283 – 15896. Maher Al-Mahouq (2010), “Success factors of small and medium-sized enterprises(SMEs): The case of Jordan”, Anadol University jourmal of social sciences, Cilt/Vol.: 10 – Say/No:1-16 (2010)7. Mohammed S.Chowdhury (2013), “Success factors of entrepreneurs of small and medium sized enterprises: Evidence from Banladesh”, Business and Economic Research, ISSN 2162 – 4860, 2013, Vol.3, No.2.8. OECD, 2015, “Entrepreneurship at a Glance 2015”9. Roman Angela, 2011, “SME’s sector access to finance: An overview”10. Yao Wang, 2014, “What are the biggest obstacles to growth of SMEs in developing countries? An empirical evidence from an enterprise survey”, JED 210 Paper


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