scholarly journals Methodology

Author(s):  
Claudia Lemke

AbstractBecause sustainable development only becomes defined when measured (see Chapter 3; e.g. Bell & Morse, 2008), sustainable development index construction is an unsupervised modelling task without a supervising output variable (G. James, Witten, Hastie & Tibshirani, 2013). Consequently, sustainable development measurement is diverse in methods and methodologies (see Section 3.2, Section 3.3, and Section 4.2) and hallmarked by subjectivity and arbitrariness (e.g. Böhringer & Jochem, 2007), such that sustainable development indicators are rather confusing and non-consensual (Pope et al., 2017; Ramos & Moreno Pires, 2013). To counteract this finding and to achieve objectivity in assessment (see Table 10.1007/978-3-658-33246-4_3; Sala et al., 2015), the previous theoretical research is coupled with a profound methodological research.

2015 ◽  
pp. 147-160 ◽  
Author(s):  
S. Bobylev ◽  
N. Zubarevich ◽  
S. Solovyeva

The article emphasizes the fact that traditional socio-economic indicators do not reflect the challenges of sustainable development adequately, and this is particularly true for the widely-used GDP indicator. In this connection the elaboration of sustainable development indicators is needed, taking into account economic, social and environmental factors. For Russia, adaptation and use of concepts and basic principles of calculation methods for adjusted net savings index (World Bank) and human development index (UNDP) as integral indicators can be promising. The authors have developed the sustainable development index for Russia, which aggregates and allows taking into account balanced economic, social and environmental indicators.


Author(s):  
Indrė Lapinskaitė ◽  
Patrikas Janulevičius

Purpose – is to analyse the different investment sources for sustainable development of a country and reveal the interaction between investment sources for sustainability and a country's sustainable development. Research methodology – analysis of scientific sources, collection and systematization of statistical data, a method for sustainable development index calculation, correlation regression analysis. Findings – each analysed country's progress of sustainable development is expressed as integrated sustainable development index revealed that all analysed countries are gradually increasing their sustainable development results. All three analysed investment sources are strongly affecting countries sustainable development, and stochastic relationship exists between variables. Research limitations – statistical data with incomplete time series, for which not all the most important sustainable development indicators were selected. The case of three Baltic countries (Lithuania, Latvia, and Estonia) is used for the period 2003–2017. The three main investment sources for sustainable development of a country: assignations of the state budget, EU structural funds, and direct investments, are chosen for the research. Practical implications – results can be used in calculations for other countries sustainable development and investments interactions. They can be used to evaluate the impact of the different source and contribute to the modelling of their use. Originality/Value – this article is unique because it reveals the interaction of multiple sustainability sources, in terms of investment sources for sustainability and the results of a country's sustainable development. These sources can be supplemented and adapted to other countries (at least in developed countries EU level). Keywords: sustainability, sustainable development indicators, integrated sustainable development index, assignation of the budget, EU funds, direct investment


2021 ◽  
Vol 68 (1) ◽  
Author(s):  
Tarek Abdel-Latif Aboul-Atta ◽  
Rania Hamed Rashed

AbstractThe transition to renewable energy sources remains a major challenge for developed and developing countries. Therefore, the study aims at investigating the relationship between sustainable development indicators and renewable energy consumption utilizing integrated data sets for 255 indicators expressing the sustainable development goals from 137 developed and developing countries. Principal component analysis then multiple linear regression tests are employed to conclude a mathematical model representing the numerical relationship between a set of sustainable development indicators and renewable energy consumption. The statistical analysis results include (i) an inverse correlation between Sustainable Development Index which expresses the dominant factor representing collected data and renewable energy consumption, (ii) a set of sustainable development indicators as the determinants of renewable energy consumption. The findings explain the rapid transformation of low Sustainable Development Index countries towards renewable energy technology by realizing the effective role of using renewable energy as a local solution. Moreover, the findings manifest the importance of the given sustainable development indicators in obtaining a more significant increase in renewable energy consumption. Using the concluded mathematical mode, planners and decision-makers can compromise the concluded indicators to attain a serious progressing step towards renewable energy transition aligned with achieving sustainable development.


2014 ◽  
Vol 1 (1) ◽  
pp. 175-178
Author(s):  
Ilie Banu ◽  
Ioana Madalina Butiuc

AbstractRegarding the economic crises and the slow recovery that still continues, we believe that a solution can be improving the capacity to research and innovate in order to achieve sustainable development. Another key issue of the paper is about developing the cooperation between academia and business. The challenge of this development is how to increase the amount to finance research and innovation that can be implemented in the economy. As a global solution, to this problem we can recommend, for example, reducing tax evasion and by fiscal education. Also particular sources have to be found in order to develop innovation on SME level. It is essential for innovation to make quality research in order to be better prepared and increase adaptability to economic cycles. The aim of the paper is to find out how service innovation and cooperation between academia and business can enhance sustainable development indicators. The conclusions of the paper are structured in particular proposals and recommendations.


Gaia Scientia ◽  
2016 ◽  
Vol 10 (4) ◽  
pp. 182-194
Author(s):  
Paulo Sérgio Fagundes Araujo ◽  
Maria Cristiana da Silva Souto ◽  
Paulo Roberto Medeiros de Azevedo ◽  
Maria de Fatima Freire de Melo Ximenes

This study aimed to correlate sustainable development indicators with the occurrence of mosquitoes from the genus Aedes and phlebotominae sand flies, vectors of dengue fever, American visceral leishmaniasis and American tegumentary leishmaniasis, in order to establish a relationship between infestation indices and sustainability conditions in southern and northern neighborhoods of Natal, Brazil, adjacent to environmental protection zones 5 and 9, respectively. Data were obtained on Aedes aegypti and A. albopictus breeding sites and captures of phlebotominae sand flies of the genus Lutzomyia in the study area between 2006 and 2008, from the Center of Zoonosis Control of the Municipal Health Secretariat, and correlated with environmental and social indicators. Factorial analysis was applied to transform these indicators into a sustainability index for each neighborhood studied (Neighborhood Sustainability Index – NSI). Relating these indices with the occurrence of insect vectors at these sites shows a high positive correlation between SID and the Breteau index of A. aegypti (p=0.028) and with the index of household infestation by phlebotominae sand flies (p=0.01). This reveals a pattern allowing the association of sustainability conditions in the study areas with the occurrence of these insects. Analyses demonstrate the occurrence of a larger number of A. aegypti breeding sites and higher indices of household infestation by phlebotominae sand flies in neighborhoods with lower sustainability indices. Knowledge of the relationship between sustainable development indicators and the occurrence of zoonotic vectors may contribute to public health programs as well as to a restructuring of public policies in the study areas.


Author(s):  
Pham Viet Hai ◽  
Nguyen Dinh Hoang Long ◽  
Nguyen Thi Diem Thuy ◽  
Le Hoang Anh ◽  
Dao Nguyen Khoi

The objective of this study was to develop a set of sustainable development indicators on environmental aspects and apply them to assess the level of environmental sustainability in Phu Quy district, Binh Thuan province. The set of sustainable development indicators was built based on the screening of indicators from some previous studies, as well as developing new indicators to match the research area. The indicators were then be grouped into topics based on the United Nations' 17 sustainable development goals to 2030. In terms of environment, the set of sustainable development indicators includeed 6 topics (main components), 19 indicators (sub-components), of which 6 new indicators were researched and developed for the island and sea area. The result showed that the level of environmental sustainability of the Phu Quy district was good (0.846). In addition, the results showed that the local environmental aspects attained levels of sustainability. Accordingly, main components including clean water - sanitation (MT1), habitat (MT3), natural disaster prevention (MT4) and ocean conservation - sustainable use (MT5) reached the good level of sustainability and tend to keep stable. While sustainable energy (MT2) and forest protection and development (MT6) are quite sustainable. However, the MT6 component tended to decrease that indicated the forest degradation and the impacts on environmental sustainability in Phu Quy district in the future.


2013 ◽  
Vol 67 (2) ◽  
pp. 357-364 ◽  
Author(s):  
Nebojsa Veljkovic

The subject of research is elaboration and evaluation of indicators of sustainable development in the field of river basin management. Aggregate indicator entitled Ecoregion Sustainable Development Index is identified by calculation of average value by the procedure of leveling of proportion changes of three key indicators (demographic emission index, water quality index, industrial production index). Developed aggregate indicator of sustainable development is calculated and analyzed for South Morava river basin in Serbia, for the period from 1980 to 2010. The beneficiaries of these indicators are the experts from the field of environmental protection and water management who should use it for elaboration of reports directed towards the creators of economic development policy and river basin management planning. Elaborated according to the given methodology, the indicator Ecoregion Sustainable Development Index is available for the decision makers on the national level, internationally comparative and it provides the conditions for further elaboration and application.


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