Cross impact analysis and data mining variable hierarchy of stakeholder responses for sustainable development of Schizothorax fisheries in Kashmir lakes, India

2019 ◽  
Vol 27 (2) ◽  
pp. 132-139
Author(s):  
Neha W. Qureshi ◽  
M. Krishnan ◽  
Ramasubramanian V.
Open Praxis ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 409 ◽  
Author(s):  
Tanja Urbančič ◽  
Anja Polajnar ◽  
Mitja Jermol

An international online mentoring programme Open Education for a Better World (OE4BW) has been developed to unlock the potential of open education in achieving the UN Sustainable Development Goals. The programme provides an innovative approach to building Open Educational Resources, connecting developers of educational materials with experts volunteering as mentors. The model of the programme has been carefully designed and tested in two subsequent implementations in years 2018 and 2019. Results have proved the model to be useful for building capacities in open education, while producing concrete educational materials with great potential for social impact. Analysis of results has been used to suggest further improvements needed for enabling the program to be used on an even larger scale. The paper presents the development of the OE4BW model, its main characteristics, implementation results and guidelines for the future.


2004 ◽  
Vol 24 (2) ◽  
pp. 306-321
Author(s):  
DREW NELSON

ABSTRACT Over the last forty years, the Brazilian Amazon has been the object of many development and industrialization programs. The vast majority of those programs have been “mega-projects” implemented by the Brazilian federal government. Recently, several states have implemented their own style of economic development programs in the Amazon. These smaller scale “local” sustainable development programs offer policy makers an alternative to the “mega-projects”. This paper seeks to identify the strengths and weaknesses of each economic development model. Additionally, this paper provides an economic impact analysis of one “local” sustainable development project, Projeto Castanha-do-Brasil.


Author(s):  
A. Danylenko ◽  
O.M. Varchenko ◽  
D. Krusanov

The article systematizes the methodological principles and highlights the priority areas of research in the agricultural sector of the economy, taking into account the factors of external and internal environment of its development. The key challenges facing the world and national agricultural sphere are analyzed and systematized, among which the starvation of a large part of the world's population and its poverty, which are also inherent in Ukraine, are considered in detail. It is emphasized that the common challenges of food security in the world and in individual countries imply differences in approaches to their solution. It is proved that solving problems and overcoming challenges is mediated through transformations and changes that have taken place and will continue to take place in the agricultural sector of Ukraine. The main ones are: global climate change, the COVID-2019 pandemic, elections to local governments, regional councils and councils of enlarged districts and local councils of united territorial communities, the opening of the land market, etc. The priority directions of scientific researches in the agrarian sector of economy are substantiated, which are first of all connected with the following tasks: food security, increase of stability in the conditions of development turbulence, maintenance of innovative and sustainable development, increase of competitiveness of agro-food chains, sustainable development of united territorial communities. agricultural production, improving the quality of the rural population life and others. It is established that modern science has formed a powerful methodological and methodological potential, which allows to successfully solve the problem of creating models to support decision-making on the strategic development of any economic system, including agricultural sector of the economy. It is argued that rational scenarios for the long-term development of the agricultural sector can be obtained only on the basis of a reasonable combination of different methodological approaches, models and methods of research in the agricultural sector. The main models of support and decision-making for the strategic development of the agricultural sector as a socio-economic system are identified: data analysis methods (Data Mining), scenario method, simulation models, Monte Carlo method, data mining methods, methods of intellectual and cognitive modeling. Keywords: agricultural sector, methodology, priority scientific researches, territorial communities, agriculture, food industry.


2020 ◽  
Vol 65 (Special edition 2020/2) ◽  
pp. 86-115
Author(s):  
Gusztáv Báger ◽  
Bianka Parragh

To combat the coronavirus crisis and to deal with the challenges of sustainable development state should be more active and more efficient than before. This study presents the “philosophy”, directions, and first results of research aiming to define the new role of the state. By examining the effects of the positive and negative synergies of financial and ethical incentives on market participants, we may contribute to define new objectives and to implement them efficiently. Based on this approach and the related impact analysis, it can be stated that Hungary’s crisis management proved to be the most effective in June 2020 and the third most effective in October in the European Union. Another avenue of our research is to implement a complex, fourdimensional model supplemented by financial sustainability for analysing development, with a special focus on environmental sustainability and competitiveness. In this model, especially in its dynamic version, economic development is determined by the global megatrends and the Hungarian policies supporting the fulfilment of UN Sustainable Development Goals.


2019 ◽  
Vol 8 (1) ◽  
pp. 41-59 ◽  
Author(s):  
David Zelinka ◽  
Bernard Amadei

This article presents a methodology using system dynamics to model the time-dependent progress of each one of the 17 Sustainable Development Goals (SDGs), as well as their mutual interactions. The hard-systems approach presented herein complements a soft-systems, cross-impact analysis approach presented in part 1. To accomplish this, a modified logistic innovation-diffusion model is used to represent the progress of individual SDGs over time. Then, matrix transposition is used to model the SDGs' interactions. Combining these two techniques into one system dynamics model, the authors propose an analytical, quantifiable, and easily learned tool to understand the complex interplay among the SDGs as a system. The new web-based tool can be used to analyze several scenarios of the SDGs over time to understand the impact of a certain policy or economic intervention. This article is the second of a sequence of two papers analyzing the interactions between the SDGs in a systemic manner.


2018 ◽  
pp. 1318-1336
Author(s):  
Martina Huemann ◽  
Claudia Ringhofer

The chapter describes the importance of balancing risk reduction and “taken risks” and what role a holistic risk identification plays in the context of Sustainable Development (SD). It provides a theoretical background on SD, Risk Management and the Environmental Impact Analysis (EIA). It discusses the implementation of SD in the EIA as one example for a holistic risk identification. The link between SD and risk management is discussed and the identified learning potentials for further developing traditional risk identification methods are explained. A risk identification explicitly considering SD as well as considering project and stakeholder risks is presented within a case study. The case study project is Engineering, Procurement and Construction (EPC) of a wind park farm in Brazil from the supplier perspective. Based on SD both, the risks of the project as well as the risks of the project stakeholders are considered. Whereby the chapter shares the risk identification as such as well as the process for which a systemic board constellation was applied.


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