ASSESSMENT OF THE IMPACT OF PALESTINIAN GOVERNMENTAL PRACTICES ON SUSTAINABLE INDUSTRIAL SOLID WASTE MANAGEMENT IN THE WEST BANK

Loading...
Thumbnail Image
Date
2023-08-20
Authors
Muna Ayman Saed Shbita
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Sustainable solid waste management (SSWM) is a vital and important research problem, which has gained significant attention in recent years. This research aims to assess the impact of Palestinian governmental practices on SSWM and to determine the implementation level of these practices in the industrial sector in Palestine. Additionally, it aims to identify the barriers facing the Palestinian government to implement their practices effectively and efficiently. A research model was developed and study variables were linked to achieve objectives and answer the research questions. The independent variable in the model was governmental practices, which include awareness and guidance, incentives and fees, laws and regulations, waste collection, and reduction. The dependent variable is SSWM which was studied through its environmental, economic, and social aspects. The study utilized a quantitative approach, where data was collected using questionnaires. A total of 80 questionnaires were collected from the industrial sector in Palestine, and the research model was evaluated using the SMART-PLS software. The results have indicated that the level of implementation of governmental practices in the industrial sector is moderate due to the presence of several obstacles, namely; limited financial resources, weak institutional capacity, limited public awareness political and socio-economic context. Furthermore, the hypothesis tests revealed a significant and positive impact of governmental practices on SSWM and a positive and significant relationship between governmental practices and the environmental, economic, and social impact of solid waste in Palestine. Keywords: Govermantal practices (GP), Sustainable Solid Waste managments (SSWM), Solid Waste, Partial Least Squares Structural Equation Modeling (PLS-SEM).
Description
Keywords
Citation