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Advances in Mathematical Methods for Economy and Sustainable Development Goals
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Advances in Mathematical Methods for Economy and Sustainable Development Goals

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 14735

Special Issue Editors

Dr. Matilde Lafuente-Lechuga

E-Mail Website
Guest Editor
Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain
Interests: social exclusion; qualitative social research; education; inequality nonparametric statistics
Dr. Úrsula Faura-Martínez

E-Mail Website
Co-Guest Editor
Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain
Interests: statistical analysis; education; social exclusion; statistical modeling; nonparametric statistics

Special Issue Information

Dear Colleagues,

Environmental degradation and climate change or the depletion of natural resources have been a serious problem for citizens and for the planet. With the aim of eradicating them, the 2030 Agenda was approved in 2015 and the 17 Sustainable Development Goals (SDGs) were enacted. The development of mathematics and new mathematical models is an important tool for achieving the SDGs. This Special Issue welcomes both research articles and review articles dealing with the impact of mathematics for the economy and sustainable development. Interdisciplinary works are accepted, related to economics, education, sociology, health, etc., as long as they are based on mathematical methods or quantitative methodologies applied to achieve the goals set out in the 2030 Agenda. This includes, among others, new mathematical methods or applications that allow for a better understanding of sustainable development and that help to advance in the achievement of the SDGs. The practical applications derived from these developed models and their possible policy implications will also be considered.

Dr. Matilde Lafuente-Lechuga
Dr. Úrsula Faura-Martínez
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Mathematical models
  • Mathematical programming
  • Fuzzy methods
  • Statistical analysis
  • Multi-criteria decision-making
  • Quantitative methodology
  • Optimization algorithms
  • Sustainable development goals
  • Economic sustainability
  • Environmental sustainability
  • Social sustainability
  • Green economic development
  • Sustainable Development
  • Mathematics education

Published Papers (6 papers)

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Research

15 pages, 1341 KiB  
Article
Land Plots Evaluation for Agriculture and Green Energy Projects: How to Overcome the Conflict Using Mathematics
by Igor Ilin, Mikhail Laskin, Irina Logacheva, Askar Sarygulov and Andrea Tick
Mathematics 2022, 10(22), 4376; https://doi.org/10.3390/math10224376 - 20 Nov 2022
Viewed by 1746
Abstract
Seventeen sustainable development goals were formulated to create a harmonious world order for the benefit of different nations and peoples. At the same time, economic practice provides a lot of examples of conflicts of an economic nature between individual sustainable development goals. One [...] Read more.
Seventeen sustainable development goals were formulated to create a harmonious world order for the benefit of different nations and peoples. At the same time, economic practice provides a lot of examples of conflicts of an economic nature between individual sustainable development goals. One of these conflicts is the need for environmental imperatives and economic growth when a massive assessment of land used for crop production and green energy projects is needed. The present paper considers a non-traditional approach to the mass evaluation of land plots on the condition that geographic information systems provide the main source of information, such as the case of land allocation for green energy facilities and evaluation of agricultural plots. The novelty of the proposed approach firstly means the development of a comparative approach, which receives much less attention in the valuation literature than cost and income approaches, as it can give an adequate picture of the current state of the market. The model includes the study of the entire dataset, the selection of model distributions and the construction of estimates based on model distributions. The methodology of multivariate lognormal distribution of factors and prices of analogues is used. The peculiarity of the market evaluation of land plots in such cases is, as a rule, the absence of rank predictors and sufficient number of continuous predictors, which provides a base for the application of a novel approach. The method of express testing of hypotheses about joint normality of logarithms of values of pricing factors and prices is proposed. The market value is estimated as an estimate of the modal value of conditional lognormal price distribution. Secondly, the problem of market valuation is solved in case of the almost complete absence of information about price-forming factors in the areas being assessed, and thirdly, the factors are determined based on geoinformation databases (distance to the nearest large city, regional center, federal highway, large rivers, lakes, and solid waste landfills), which allow for market assessment in the absence of information on pricing factors for land plots, except for the offer price and the plot area. The research was necessitated by the claim to determine on a specific date the cadastral value of agricultural land for the purposes of taxation, corresponding to the market value, in the almost complete absence of information on pricing factors in the assessed areas. The value of land reflects a complex combination of factors, so the use of the proposed mathematical toolkit allows for building a consistent model for the evaluation of land where improvements are absent or have no value in terms of land acquisition purposes. Full article
(This article belongs to the Special Issue Advances in Mathematical Methods for Economy and Sustainable Development Goals)
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22 pages, 6645 KiB  
Article
Opinion Mining of Green Energy Sentiment: A Russia-Ukraine Conflict Analysis
by Raquel Ibar-Alonso, Raquel Quiroga-García and Mar Arenas-Parra
Mathematics 2022, 10(14), 2532; https://doi.org/10.3390/math10142532 - 21 Jul 2022
Cited by 21 | Viewed by 3494
Abstract
In this paper, we assess sentiment and emotion regarding green energy through employing a social listening analysis on Twitter. Knowing the sentiment and attitude of the population is important because it will help to promote policies and actions that favor the development of [...] Read more.
In this paper, we assess sentiment and emotion regarding green energy through employing a social listening analysis on Twitter. Knowing the sentiment and attitude of the population is important because it will help to promote policies and actions that favor the development of green or renewable energies. We chose to study a crucial period that coincides with the onset of the 2022 Ukrainian–Russo conflict, which has undoubtedly affected global energy policies worldwide. We searched for messages containing the term “green energy” during the days before and after the conflict started. We then performed a semantic analysis of the most frequent words, a comparative analysis of sentiments and emotions in both periods, a dimensionality reduction analysis, and an analysis of the variance of tweets versus retweets. The results of the analysis show that the conflict has changed society’s sentiments about an energy transition to green energy. In addition, we found that negative feelings and emotions emerged in green energy tweeters once the conflict started. However, the emotion of confidence also increased as the conflict, intimately linked to energy, has driven all countries to promote a rapid transition to greener energy sources. Finally, we observed that of the two latent variables identified for social opinion, one of them, pessimism, was maintained while the other, optimism, was subdivided into optimism and expectation. Full article
(This article belongs to the Special Issue Advances in Mathematical Methods for Economy and Sustainable Development Goals)
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17 pages, 970 KiB  
Article
Sustainable Organic Farming, Food Safety and Pest Management: An Evolutionary Game Analysis
by Hong Zhang and Paul Georgescu
Mathematics 2022, 10(13), 2269; https://doi.org/10.3390/math10132269 - 29 Jun 2022
Cited by 5 | Viewed by 2108
Abstract
There is an increasing realization that industrial, large-scale agriculture can negatively impact both food quality and the environment, and that alternatives should be thoroughly considered. Consisting of various participants with distinct and often competing interests, organic food chains have a dynamic structure. We [...] Read more.
There is an increasing realization that industrial, large-scale agriculture can negatively impact both food quality and the environment, and that alternatives should be thoroughly considered. Consisting of various participants with distinct and often competing interests, organic food chains have a dynamic structure. We consider an evolutionary game theory model for the dynamics of an organic supply chain with farmers, their customers and the government as the main stakeholders. After describing stakeholder strategies and constructing appropriate payoff matrices for the interactions between farmers and customers and between farmers and the government, respectively, sufficient conditions for the stability of the equilibria for the associated replicator equations were found. Those conditions were then interpreted in practical terms, the corresponding possible outcomes being determined and numerically illustrated. It was seen that a sustainable shift from a conventional strategy to an organic one requires the efforts of all involved stakeholders. As far as the evolutionary interaction between farmers and customers is concerned, it was seen that the purchasing power and the organic awareness of customers are of the utmost importance for the establishment and diffusion of organic strategies in the supply chain. Furthermore, a situation in which the preferences of farmers and consumers for an organic (or conventional) strategy change periodically may occur. Regarding the evolutionary interaction between farmers and the government, strong support for organic farmers is needed at first, and then the consumption habits and environmental awareness of the consumers can be cultivated. This promotes the establishment, development and enrichment of an organic supply chain which, at a certain point, can persist even without governmental subsidies. Full article
(This article belongs to the Special Issue Advances in Mathematical Methods for Economy and Sustainable Development Goals)
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23 pages, 1304 KiB  
Article
Measuring Progress towards Sustainability in the European Union within the 2030 Agenda Framework
by Marianela Carrillo
Mathematics 2022, 10(12), 2095; https://doi.org/10.3390/math10122095 - 16 Jun 2022
Cited by 8 | Viewed by 1741
Abstract
The adoption of the 2030 Agenda and its 17 Sustainable Development Goals (SDGs) revived the challenge to efficiently address economic prosperity, environmental quality and social welfare goals. To fulfill such purposes, policymakers need to measure and monitor the global progress made by countries [...] Read more.
The adoption of the 2030 Agenda and its 17 Sustainable Development Goals (SDGs) revived the challenge to efficiently address economic prosperity, environmental quality and social welfare goals. To fulfill such purposes, policymakers need to measure and monitor the global progress made by countries towards the achievement of the SDGs. Composite indicators have frequently been used for sustainability performance assessment in a range of areas related to Sustainable Development and recently some attempts have been made to analyze trends within the 2030 Agenda framework. The objective of this study is to propose a novel composite indicator approach to assess sustainability performance and evaluate whether progress is being made towards the SDGs. Some distinguishing features of the proposed approach involve the computation of weights for the indicators and the use of geometric average at the overall aggregation stage. The approach is applied to the evaluation of the SDGs in EU27 during the period 2010–2020 using the Eurostat SDG dataset. The results obtained suggest that all 27 Member States have progressed favorably, albeit not to the same extent, and differences between countries seem to be decreasing over the years. Full article
(This article belongs to the Special Issue Advances in Mathematical Methods for Economy and Sustainable Development Goals)
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19 pages, 2458 KiB  
Article
Spotting Error Patterns in Input–Output Projections Using Location Quotients
by Xesús Pereira-López, Napoleón Guillermo Sánchez-Chóez and Melchor Fernández-Fernández
Mathematics 2022, 10(9), 1474; https://doi.org/10.3390/math10091474 - 27 Apr 2022
Cited by 3 | Viewed by 1355
Abstract
The Sustainable Development Goals (SDGs) stated by the United Nations (UN) constitute a universal agenda committed to human rights. In this context, mathematics can perform a fundamental role. Exploring possible contributions to these goals could be considered an interesting approach. Input–output (IO) tables [...] Read more.
The Sustainable Development Goals (SDGs) stated by the United Nations (UN) constitute a universal agenda committed to human rights. In this context, mathematics can perform a fundamental role. Exploring possible contributions to these goals could be considered an interesting approach. Input–output (IO) tables provide detailed information for socio-economic quantifications. Thus, they allow for more precise policy decision-making and application in the SDG strategy. However, the smaller the subnational unit to be considered, the less statistical information that is available. Survey-based IO tables with large product/industry disaggregation are seldom published. Therefore, non-survey methods to estimate subnational IO tables based on the national are needed. These methodologies should yield optimal results. In the present investigation, different formulations for these non-survey regionalization methods are analyzed. The work focuses on the methodologies based on location quotients (LQ). As a result, some error patterns associated with current formulations present in literature are described. A slight refinement of these methodologies is proposed in order to improve the estimation’s accuracy. Full article
(This article belongs to the Special Issue Advances in Mathematical Methods for Economy and Sustainable Development Goals)
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41 pages, 3949 KiB  
Article
Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks
by Chih-Hung Hsu, Ru-Yue Yu, An-Yuan Chang, Wan-Ling Liu and An-Ching Sun
Mathematics 2022, 10(4), 552; https://doi.org/10.3390/math10040552 - 11 Feb 2022
Cited by 14 | Viewed by 2937
Abstract
As the global economy develops and the complexity of supply chains increases, the effective mitigation of sustainable supply chain risks in electronics manufacturing has become important. While quality function deployment (QFD) has been successfully applied to many fields of multicriteria decision-making (MCDM), there [...] Read more.
As the global economy develops and the complexity of supply chains increases, the effective mitigation of sustainable supply chain risks in electronics manufacturing has become important. While quality function deployment (QFD) has been successfully applied to many fields of multicriteria decision-making (MCDM), there is a lack of research on constructing a house-of-quality model that can be combined with MCDM for connecting supply chain agility with sustainable supply chain risks, especially in the field of electronics manufacturing. The objective of this study was to develop an integrated framework of QFD and MCDM and to devise an effective method to mitigate sustainable supply chain risks by improving supply chain agility. Such a method can help the multinational electronics manufacturing industry to develop stable and sustainable supply chains. In a multinational electronic manufacturing enterprise as an example, the results showed that the case enterprise work should focus on improving agility ‘production and sales capability’, ‘quick decision-making/strategic flexibility’, ‘electronic shiapment of finished products to control shipment operations’, ‘supplier on-time delivery rates’ and ‘cost minimization’. Improving agility would help enhance the ‘credibility and competence of operators and leaders’ and ‘product safety and quality’ and reduce ‘goods disruption or delay due to inadequate supply mobility and poor financial performance’, ‘information system instability’, the ‘long product lead time’ and other key sustainable supply chain risks. The proposed framework can not only be effectively used by other electronics manufacturers to develop agile strategies to mitigate sustainable supply chain risks, but also provides a reference for risk management for manufacturers in other fields. Full article
(This article belongs to the Special Issue Advances in Mathematical Methods for Economy and Sustainable Development Goals)
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