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رسائل ماجيستير الانجليزية 2022 09f17883-f123-4870-b74f-91dc0dbbc518

A Lasso- Based Dea For Eco-efficiency Performance Assessment For The Global Food And Beverages Industry

Doa'a Mohammad Fuad Salameh, Galal M. Abdella

كلية الهندسة-جامعة قطر · قطر

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Sustainable food systems are essential to secure food and nutrition for society and preserve the economic, social, and environmental aspects. A sustainable food system has become a significant demand for survival due to the dramatic growth of urbanization and global economic and health disruptions. Recently, food supply chains of global industries are encountering economic and environmental challenges, resulting in a significant decrease in their eco-efficiency performance. Therefore, there is a great need to identify possible reasons and their potential relationship across the eco-environmental pillars of sustainability. To this end, this thesis proposes an approach for eco-efficiency assessment integrating both the Least Absolute Shrinkage Squared Operator (LASSO) with the Data Envelope Analysis. The new approach constitutes two stages. First, the LASSO regression is applied to reduce the dimension-space of the eco- and find the relative weights estimates for each indicator in the new dimension. Second, the DEA is used to estimate the eco-efficiency ratio for all the food industries. The mathematical and operational procedures of the new approach are demonstrated using the economic and environmental footprints of 30 food and beverages industries in the USA. The new strategy is expected to provide food and beverage industries with a powerful tool for assessing their contribution toward achieving sustainable development goals.

التعريف والنوع

رقم الوثيقة
09f17883-f123-4870-b74f-91dc0dbbc518
رقم العقد
0
نوع الوسائط
Crawler
نوع المحتوى
الرسائل العلمية
صيغة المصدر
رسائل ماجيستير
نوع الملف
pdf text
أسماء الملفات
2198916_1.pdf

بيانات النشر

ألقاب المؤلفين
[{"name_ar":"Doa'a Mohammad Fuad Salameh","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Galal M. Abdella","title_ar":"اشراف","title_en":"Supervision"}]
اللغة
English

المصدر والدورية

اسم المصدر
A Lasso- Based Dea For Eco-efficiency Performance Assessment For The Global Food And Beverages Industry

المحتوى والصفحات

عدد الصفحات
0
كلمات الباحثين
Sustainable food systems Least Absolute Shrinkage Squared Operator (LASSO) secure food and nutrition sustainable development goals

إشراف وإعداد

الإشراف
Galal M. Abdella
الإعداد
Doa'a Mohammad Fuad Salameh

الاقتباسات الببليوغرافية

APA

Doa'a Mohammad Fuad Salameh و Galal M. Abdella. (2022). A Lasso- Based Dea For Eco-efficiency Performance Assessment For The Global Food And Beverages Industry. أطروحة(رسائل ماجيستير). كلية الهندسة-جامعة قطر. قطر.

MLA

Doa'a Mohammad Fuad Salameh و Galal M. Abdella. A Lasso- Based Dea For Eco-efficiency Performance Assessment For The Global Food And Beverages Industry. 2022. كلية الهندسة-جامعة قطر، رسائل ماجيستير.