scholarly journals Comparative analysis of value chain strengthening processes and final remarks

Author(s):  
Jorge Mario Martínez-Piva ◽  
Nahuel Oddone ◽  
Ramón Padilla-Pérez
Food Policy ◽  
2020 ◽  
pp. 101958
Author(s):  
Luciana Delgado ◽  
Monica Schuster ◽  
Maximo Torero

Author(s):  
Demissie Damite Degato

The traditional approach to innovation assessment has mainly focused on the economic outcomes and failed to capture the ecological and social dimensions of sustainability. By giving high attention to the role of specific kind of innovation (technological innovation), there is little empirical work on whether combining different kinds of innovation leads to progress in social-ecological sustainability in developing countries. The sustainability orientation in the assessment of innovation performance becomes increasingly important for achieve successful transformation towards sustainability. The research question of this study is under what condition or combination of conditions the intervention for innovation reconciles the trade-offs between socioeconomic and ecological performance and thus improve progress towards sustainability in poor countries. Combing concepts and methods from literature on strategic corporate social responsibility (CSR), value chain upgrading, sustainability, and technological capability, this study identifies different mechanisms and conditions for building innovation capacity and then empirically evaluates the relationship between the degree of innovation capacity and the progress towards social-ecological sustainability by taking four cases from Ethiopia. The data for this study is collected using key informant interviews, focus group discussion, and biodiversity and innovation scorecard questionnaire. Mixed methods combing comprehensive fuzzy evaluation, biodiversity scorecard and qualitative comparative analysis are used for analysis. The study found that combing value chain innovation and green governance innovation either with technological upgrading or innovation platform learning are sufficient conditions for achieving social-ecological sustainability. We also found that innovation in green governance and in value chain are necessary conditions for sustainability. By developing and applying fuzzy comprehensive evaluation model for measuring innovation capacity and fuzzy set qualitative comparative analysis for identifying necessary and sufficient conditions for sustainability, this study made an important methodological contribution to existing literature.


2019 ◽  
Vol 16 (2) ◽  
pp. 58-71
Author(s):  
Audrone Kvedariene

Abstract Research purpose. High technology creation, as a rule, requires national support systems although the flow of the created value in an international level is unexplored. The national innovation systems are becoming globalized; thus the distinct process of creation, dissemination and implementation of high technologies is becoming globally fragmented and therefore the added value distribution within the global value chain (GVC) should be investigated. Design/Methodology/Approach. The brief and extensive academic literature review dedicated to high technology creation is introduced, although the empirical investigation is narrowed to the scientific research and development sector, depicted as M72 by NACE statistical classification. Thus empirical research design is based on the sectoral level data, considering M72 sector as the main economic activity for high technology creation. The data for the comparative analysis of countries is retrieved from the 2014 world input–output data (WIOD) which enables to exclude double counting of added value inherent for the convenient import and export data and holds information of intermediate and final consumption of added value within a country and between different countries. The descriptive statistic based on WIOD data is provided and further prescriptive statistics for the data interpretation is conducted. While developing the predictive models, the number of investigated countries varies while the data for M72 sector is not available for all countries provided in WIOD and including to the model basic science and technology indicators as independent variables, retrieved from the Organisation for Economic Co-operation and Development database, the number of countries reduced additionally, also due to the data shortage. Findings. The key result is the provided methodology for the positioning of the countries evaluating the involvement in the upstream and downstream GVC processes, hereby introducing new indicators that may have an impact on the sector’s performance. Originality/Value/Practical implications. The evaluation of high technologies creation performance would provide insights into the international management and innovation policies, and the matrix concept for the positioning countries by the pattern of involvement to the GVCs could be applied to other sectors.


Author(s):  
Jiazi Zhou ◽  
Xin Wen

As the internal requirement of the development of China’s traditional manufacturing industry, intelligent transformation has gradually become the main goal of China’s regional manufacturing transformation. From the perspective of manufacturing value chain, this paper proposes a conceptual model of intelligent transformation of manufacturing industry. Taking 22 sample cities as cases, the paper uses fuzzy set qualitative comparative analysis method to identify the necessary factors of intelligent transformation of manufacturing industry and the configuration analysis of each factor combination, and then obtains three realization paths to promote intelligent transformation. The results show that intelligent technology innovation and intelligent industry investment are the necessary conditions for the intelligent transformation of manufacturing industry, and there are three configuration paths: collaborative R&D and processing, external factor driven and value chain climbing, which promote the intelligent transformation of manufacturing industry. This paper enriches the research on intelligent transformation of manufacturing industry from the perspective of value chain, and uses the qualitative comparative analysis method of fuzzy set to provide countermeasures and suggestions for the direction and path of intelligent transformation of manufacturing industry.


2015 ◽  
Vol 3 (1) ◽  
pp. 1088429 ◽  
Author(s):  
Nelson Mango ◽  
Lawrence Mapemba ◽  
Hardwick Tchale ◽  
Clifton Makate ◽  
Nothando Dunjana ◽  
...  

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