دورية أكاديمية

Efficiency Assessment on Codified Knowledge Products: An SFA Approach

التفاصيل البيبلوغرافية
العنوان: Efficiency Assessment on Codified Knowledge Products: An SFA Approach
اللغة: English
المؤلفون: Gustavo Ferro, Nicolás Gatti
المصدر: Journal on Efficiency and Responsibility in Education and Science. 2024 17(1):35-54.
الإتاحة: Czech University of Life Sciences Prague. Czech University of Life Sciences Prague, Kamýcká 129, Prague 6 - Suchdol 165 00, Czech Republic. e-mail: editor@eriesjournal.com; Web site: https://www.eriesjournal.com/index.php/eries
Peer Reviewed: Y
Page Count: 20
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Research
Descriptors: Efficiency, Economic Development, Costs, Cost Effectiveness, Innovation, Research and Development, Networks, Scientific Research, Models, Foreign Countries
مصطلحات جغرافية: North America, Europe, South America, Africa
تدمد: 2336-2375
1803-1617
مستخلص: Knowledge applied to innovation is increasingly recognized as an explanatory factor of economic growth. Innovation derives from applying knowledge to generate new products or processes. National Innovation Systems (NIS) performs as the formal or informal network of people within institutions interacting to produce and apply knowledge to innovation. NIS can be understood as two subsystems: one based on scientific and technological work, producing codified products (publications and patents), and the other centered on practical actions to diffuse, apply, and use knowledge. Our objective is to assess cost efficiency in the production of codified knowledge outputs (CKO), being our unit of analysis NIS (countries). To attain our goal, we apply a Stochastic Frontier Analysis (SFA) to estimate a cost frontier of CKO. The panel sample includes 1189 observations for 23 years (1996-2019) and 82 countries. Our main results identify determinants and patterns of efficiency and productivity, tendencies, and specifics of countries and groups of them.
Abstractor: As Provided
Entry Date: 2024
رقم الأكسشن: EJ1425004
قاعدة البيانات: ERIC