Modeling Factors Affecting Extended Producer Responsibility An ELV Case Study in Saudi Arabia

ELVs have become a worldwide concern as vehicles have become so common around the globe. Under the present circumstances where automobile usage is under rapid rise, ELV management is of high significance regarding the resource conservation, and waste management. This research paper manages to identify significant hindrances in realizing extended producer responsibility towards their product in the case of end of life vehicles recycling in Saudi Arabia utilizing interpretive structural modeling approach. By breaking down the current hindrances, one can look forward how to put ELV orders in Saudi Arabia later on and to position ELV management at a superior level along the lines of development prompting a better tomorrow.

2017 ◽  
Vol 9 (12) ◽  
pp. 2541-2555 ◽  
Author(s):  
O. K. M. Ouda ◽  
H. P. Peterson ◽  
M. Rehan ◽  
Y. Sadef ◽  
J. M. Alghazo ◽  
...  

Author(s):  
Valentina Repnikova ◽  
A. Rusanov

This article reveals the essence of the concept of extended producer responsibility. The influence of extended producer responsibility on entrepreneurship is described. The value of extended producer responsibility for the development of a closed-loop economy is determined.


2019 ◽  
Vol 10 (3) ◽  
pp. 563
Author(s):  
Jessadanan WIANGNON ◽  
Thares SRISATIT ◽  
Ananya POPRADIT

The promotion of tourism by the government and the creation of local tourist attractions are becoming extremely popular. This has direct negative impacts on the environment, especially the existence of a significant quantity of garbage and its ineffective management. The upstream areas that experience considerable tourism often face problems in solid waste management (SWM), especially in areas with management limitations. The purpose of this study is to study the various important factors that affect the efficiency of SWM from tourism in the upstream areas by exploring the attitudes of those involved in the Pai district, Mae Hong Son Province, using the questionnaire. The questionnaire has been analysed by statistical methods using the SPSS program, and, then, the data has been analysed by 16 experts from 8 related fields using the analytical hierarchy process (AHP) to prioritise the factors affecting the efficiency of waste management from tourism in upstream areas. The study indicated that a total of 30 factors were grouped into 5 groups. The highest important factor is personnel and knowledge, followed by budget and equipment, area and strategy, cooperation and process, and economy and society. Executive vision is the most important secondary factor towards SWM resulting from tourism in the upstream areas. The summary of this research can be used to effectively drive spatial work, which is suitable for small cities located in upstream areas, and growth in tourism, and such information can be applied to other areas that have similar characteristics, which will lead to efficient spatial SWM.


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