A System Approach to Assessing the Effectiveness of Regional Innovation Systems in the Concept of Statistical Sustainability

Сафиуллин, Марат Рашитович; Chekhlomin, Sergey Valentinovich; Aksyanova, Anna Vladimirovna

doi:10.18510/hssr.2019.7687

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Higher education systems allow the flow of knowledge with the support of institutions that contribute to research, development, and dissemination. [5,7,21,24,47,84,[88][89][90][91]95] Does the region have education systems that contribute to the development of attitudes and cognitive capacities that allow the acquisition of knowledge for decision making, industrial and economic development, based on the collective benefit and the environment?…”

Section: Simplified Variable Reference Questionsmentioning

confidence: 99%

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Innovation Systems and Sustainability. Development of a Methodology on Innovation Systems for the Measurement of Sustainability Indicators in Regions Based on a Colombian Case Study

Sossa

Suárez

et al. 2022

Sustainability

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In recent years, the need for changes in the current consumption and development patterns has become evident. To achieve this, it is necessary to innovate, create, and devise new methodologies and ways of thinking that allow for a reorientation towards economically prosperous, socially equitable, and environmentally reasonable practices. The purpose of this study is to identify sustainability variables within the framework of the innovation system concept, and to propose a methodology for diagnosing regions and identifying their gaps in a sustainability-oriented innovation system. The methodology was based on a literature review of different documents, where sustainability variables related to innovation were extracted from this search, consisting of the identification of concepts made by different authors regarding what should be considered an innovation system aligned with sustainable development. These concepts were identified as study variables and a questionnaire was formulated based on them, which was reviewed by experts to determine their relevance and congruence. After obtaining the final questionnaire, which was subsequently referenced as the diagnostic tool, it was applied in a Colombian study region consisting of the states of Quindío and Risaralda, with sustainability stakeholders. As a result, a great lack of knowledge on the subject on the part of the respondents, low accessibility to sources of information, and a high percentage of disarticulation between policies were found, which led to the conclusion that the evaluated region has a low understanding of sustainability. Based on the information discussed in this research, it can be concluded that there are currently no specific methodologies to measure the sustainability of a region or territory. Therefore, the tool is determined to be a guide for the measurement of sustainability in the context of innovation in any region. Finally, from the studies reviewed, the potential to include sustainability in the innovation systems of a region was detected, enabling economic development, the production of goods and services, and strengthening the socio-environmental considerations involved in the adequate use of natural resources and the increase in the quality of life.

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Section: Simplified Variable Reference Questionsmentioning

confidence: 99%

“…Development of innovative activities, technologies, and infrastructures that contribute to the production of new content. [12,13,32,91] Does the region have sufficient activities, technologies, and infrastructure to support the production of new content?…”

Section: Simplified Variable Reference Questionsmentioning

confidence: 99%

Innovation Systems and Sustainability. Development of a Methodology on Innovation Systems for the Measurement of Sustainability Indicators in Regions Based on a Colombian Case Study

Sossa

Suárez

et al. 2022

Sustainability

View full text Add to dashboard Cite

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Segmentation of municipal solid waste using artificial neural networks

Kozodaev

Kostromin

Kaplenkova

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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The article discusses the prospects of using neural networks and Waste-to-energy technology to create a rational and efficient waste management culture. The study determines the quality (by metrics) of a trained neural, network that determines the type of solid household waste, depending on various parameters of the model. Based on the analysis of the obtained metrics, a conclusion is made about the best parameters for the developed neural network model. This neural network was trained specifically for this study, and as was chosen TACO dataset. Brief theories of neural networks and Waste-to-energy technologies are also discussedenergy. Particular attention is paid to the need to use these tools together to reduce and suspend the formation of new landfills and energy generation. The article will be especially relevant for scientists in those countries where the percentage of recycled waste tends to zero.

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Problems of Production Development in the Agro-Industrial Complex of Turkestan Region

Оразаева

Тулеметова

Полежаева

2021

jour

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Currently, the agro-industrial complex is a set of different branches of the agricultural system that are aimed at producing or processing agricultural raw materials and obtaining various types of finished products from it.The purpose of this study is to characterize the current state and prospects for the development of the agroindustrial complex of the region.Methodology. Methods of the research on the implementation of tasks are considered using horizontal analysis methods, tabular and graphical data display, data comparison (comparison method), to solve specific problems of the regional agro-industrial complex.The originality of the study is the use of a mechanism to substantiate strengths with positive opportunities for the development of the agro-industrial complex of the Turkestan region, which contribute to the creation of conditions for the cost-effective functioning of agro-industrial enterprises in the region.Findings. The article analyzed the statistical data of the agro-industrial complex of the Turkestan region, identified vulnerable sectors of agriculture in the region. Despite available resources and capacity, challenges are being identified, such as:– Low level of competitiveness of products and profitability of agro-industrial enterprises;– Low efficiency of smallholders;– Poorly oriented research on the needs of agricultural production, etc., which needs to be addressed in order to stabilize and improve the well-being of the agro-industrial sector and, as a result, the well-being of the region.

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A System Approach to Assessing the Effectiveness of Regional Innovation Systems in the Concept of Statistical Sustainability

Cited by 3 publications

References 10 publications

Innovation Systems and Sustainability. Development of a Methodology on Innovation Systems for the Measurement of Sustainability Indicators in Regions Based on a Colombian Case Study

Innovation Systems and Sustainability. Development of a Methodology on Innovation Systems for the Measurement of Sustainability Indicators in Regions Based on a Colombian Case Study

Segmentation of municipal solid waste using artificial neural networks

Problems of Production Development in the Agro-Industrial Complex of Turkestan Region

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