Sustainability Index Scores Research Articles

Evaluation of the Sustainability Messages of the Companies with the Highest BIST Sustainability Index on X (Twitter) Platform

BIST Sustainability Index was created to increase the understanding, knowledge, and practices on sustainability among Borsa Istanbul companies in Turkey. The BIST Sustainability Index aims to guide companies in the process of establishing policies regarding the environmental, social, and corporate governance risks of stock exchanges. In addition, it has the mission of creating a platform that communicates information on companies' sustainability policies to responsible investors. In line with the United Nations Sustainability Development Goals, several metrics are presented according to the sustainability practices of companies in Borsa Istanbul. Social networks are a tool that businesses frequently use to disseminate information quickly and at low cost. It has a key role in disseminating information about social marketing activities, especially in the sustainability axis. This study focuses on how companies use social networks to disseminate sustainability information. For this purpose, the sustainability messages of the 12 companies with the highest scores in the BIST sustainability index on the social network X platform for the years 2014-2022 are analyzed. The aim of the study is to examine whether there is a relationship between the companies' BIST sustainability index scores and the intensity of their use of sustainability messages on the social network. X platform data was obtained with the Python programming language, twint library. The correlation test was carried out using the SPSS package program with the Spearman Correlation test. As a result of the research, it is seen that the most frequently used keywords/phrase groups in the posts made by all companies are "education, energy, climate, women, health, water, sustainable, wages, production". The study did not find a significant relationship between the BIST sustainability index scores and the intensity of companies' messages containing sustainability keywords on the platform. This shows that companies should use social networks more efficiently in the dissemination of sustainability activities. Knowing how companies use social media to disseminate sustainability information can provide guidance for other companies. On the other hand, within the scope of the research, the messages of the companies were analyzed and the sustainability keywords were divided into three themes. The first theme is health, education, and women; the second theme is climate and environment; and the third theme is energy and savings. These themes and keywords are expected to serve as a source for content analysis studies such as social media messages and sustainability reports. Although no similar study has been found in Turkey, this study is one of the rare studies in the world literature. Unlike the literature, the sustainability activities on social media of the companies ranked at the top of the BIST Sustainability Index are analyzed. Thus, the activities carried out by companies that have already been determined to be successful in sustainability activities with a metric will serve as an example for companies that are not included in this list. On the other hand, the themes obtained from the research can be utilized in the dissemination of sustainability information on social media.

Identifying Optimally Sustainable Foods: A Four-Dimensional Analysis of Sustainable Foods in the American Diet

A holistic understanding of food sustainability is vital for making socially and environmentally conscious food choices. Sustainable diets have been defined by four dimensions: health, economics, environment, and society. The purpose of this study was to determine how metrics for nutritional quality, monetary cost, environmental impact, and social and cultural acceptability of foods and beverages vary across and within food groups and to identify which foods and beverages are optimally sustainable according to these metrics. Data from the Food and Nutrient Database for Dietary Studies (FNDDS) was linked with frequency of consumption, nutrient density, environmental impact, and cost data from publicly available databases. A sustainability index, based on the four dimensions, was developed to quantify overall sustainability. Nutrient density was correlated negatively with environmental impact and frequency of consumption but positively with cost (p < 0.001). Out of 5964 items, 165 were identified as optimally sustainable. Sustainability index scores varied within each food group. Less than 1% of optimally sustainable items were Dairy products, while 62% were Protein Foods—of which 92% were Plant Proteins. Few foods and beverages met the criteria to be considered optimally sustainable. However, Plant Protein foods may generally strike the best balance among these four indicators of sustainability. A holistic understanding of food sustainability is necessary to facilitate nutritious and environmentally conscious dietary choices that adhere to other needs, personal values, and preferences.

Blockchain-Based Sustainability Index Score for Consumable Products

Blockchain-Based Sustainability Index Score for Consumable Products

Using the RE-AIM framework to assess national teledermatology expansion.

Teledermatology has been utilized in the United States Department of Veterans Affairs (VA) for decades but continues to have incomplete penetration. VA has funded an initiative to enhance access to dermatology services since 2017 to support asynchronous teledermatology for Veterans living in rural areas. As part of an ongoing evaluation of this program, we assessed the teledermatology activity between the fiscal years 2020 and 2022. We focused on the second cohort of the initiative, comprising six VA facilities and their 54 referral clinics. We studied teledermatology programs at cohort facilities using the reach, effectiveness, adoption, implementation, and maintenance framework. We used a mixed-methods design including annual online reports completed by participating facilities and VA administrative data. When possible, we compared the data from the 3 years of teledermatology funding with the baseline year prior to the start of funding. Reach: Compared with the baseline year, there was a 100% increase in encounters and a 62% increase in patients seen at the funded facilities. Over 500 clinicians and support staff members were trained. Effectiveness: In FY 2022, primary or specialty care clinics affiliated with the funded facilities had more dermatology programs than primary or specialty care clinics across the VA (83% vs. 71% of sites). Adoption: By the end of the funding period, teledermatology constituted 16% of dermatology encounters at the funded facilities compared with 12% nationally. This reflected an increase from 9.2% at the funded facilities and 10.3% nationally prior to the funding period. Implementation: The continued funding for staff and equipment facilitated the expansion to rural areas. Maintenance: By the end of the funding period, all facilities indicated that they had fully implemented their program for patients of targeted primary care providers. The Program Sustainability Index scores generally increased during the funding period. Targeted funding to support asynchronous teledermatology implementation for rural Veterans increased its reach, adoption, and implementation, ultimately improving access. Providing program guidance with staffing and training resources can increase the impact of these programs. Ongoing efforts to maintain and increase communication between primary care and dermatology will be needed to sustain success.

Towards a net-zero carbon economy: A sustainability performance assessment of innovative prefabricated construction methods for affordable housing in Southern Africa

Recently, efforts to mainstream sustainability principles into affordable housing projects through the adoption of modern methods of construction, like innovative prefabricated construction methods (IPCMs), have been observed. However, limited studies have evaluated the sustainability performance of IPCMs deployed to affordable housing projects in Southern Africa, where the delivery of sustainable affordable housing remains a regional imperative. This study bridges this gap by assessing the sustainability performance and index scores of six IPCM variants implemented on affordable housing projects. The study adopted a two-phased quasi-experimental research design. In the first phase, the technical specification, lifecycle energy and cost and actual performance of these variants under varying conditions pertaining to sustainability were assessed and compared. The Sustainable, Innovative, Affordable Housing (SIAH) framework was adjusted to enhance its utility for computing sustainability index scores using expert opinions. Afterwards, the experts computed the sustainability index score for each case using the adjusted SIAH framework. Subsequently, the Edge App and SimaPro were used to simulate the sustainability performance of these variants under varying conditions. The study's results indicate higher overall sustainability performance of IPCMs compared to conventional methods. Moreover, the research results proved that the monolithic IPCMs were more suitable for net-zero carbon buildings. The study highlights the SIAH framework's usefulness as an assessment tool for determining the sustainability performance of affordable housing projects and for successfully selecting optimum IPCMs to implement towards eliciting such performance. It is expected that this study's results will contribute towards advancing the SIAH agenda in Southern Africa.

Measuring and managing for environmental sustainability. An application of the Environmental Sustainability Gap (ESGAP) framework in New Caledonia

Environmental policymakers need to monitor the state of the environment to evaluate the effectiveness of their actions, prioritize policies, and thus establish their contribution to the conservation of natural capital. The Environmental Sustainability GAP (ESGAP) is a framework that introduces a synthetic dashboard to monitor the state of the environment from a strong sustainability perspective, adopting stringent criteria on the maintenance of critical natural capital. This article focuses on the implementation of the ESGAP framework in New Caledonia, a developing economy heavily dependent on natural capital. The results highlight sustainability issues that require policy attention and methodological challenges about the construction of sustainability indicators. The strong environmental sustainability index score obtained is 43/100. This value is mainly driven downwards by high greenhouse gas emissions, and the impact of fire on ecosystems in New Caledonia. Both are moving away from the strong environmental sustainability objectives over the years, indicating a worsening situation. The ESGAP provides a holistic view on sustainability that was previously lacking, thus informing environmental management and policies. This study also identifies gaps in environmental monitoring and needs in the setting of objectives, as well as the cost of reaching them.

A New Institutional Sustainability Index Regarding Local Governments: The Case of Istanbul

The literature on institutional sustainability has largely focused on global-based analysis, and it has generally ignored to examine local-based analyses. The main purpose of this study was to measure the institutional sustainability of local governments. In this research, the intention was to develop an institutional sustainability index based on the district municipalities in the province of Istanbul, which is one of the most significant metropolises in the world. A total of 48 variables were used in the calculation of the General Institutional Sustainability Index (social dimension with 26 variables, economic dimension with 15 variables, and environmental dimension with 7 variables). The index consists of 3 sub-indexes comprising the general institutional sustainability index. The social dimension was examined in 6 sub-dimensions, the economic dimension in 5 sub-dimensions, and the environmental dimension in 4 sub-dimensions. The results indicate that Istanbul municipalities achieved low economic and environmental sustainability index scores. Decision-makers will be able to assess the general institutional sustainability index results for their own municipalities and to observe strong and weak aspects with the sub-indexes. In the process of developing the index, missing value analysis, cluster analysis, principal component analysis, and the composite index calculation methods were applied to data from 39 district municipalities in the province of Istanbul.

SUSTAINABILITY ANALYSIS OF TRADITIONAL CAPTURE FISHERIES BASED ON LOCAL WISDOM AT LHOK KUALA GIGIENG, ACEH BESAR, INDONESIA

This research focuses on the sustainability analysis of capture fisheries based on local wisdom in Lhok Kuala Gigieng. This study aims to analyze the sustainability status of capture fisheries and determine the factors that influence the sustainability of capture fisheries in Lhok Kuala Gigieng. The method used in this study is a descriptive method with survey techniques in data collection through questionnaires. The RAPFISH analysis uses four dimensions: ecological, economic, social, and institutional. This study indicates that the sustainability index score for the ecological dimension is in a good category, and the economic dimension of the sustainability index is in the medium category. Furthermore, it also shows that the social dimension of the sustainability index is in a good category, and the institutional dimension of the sustainability index is in a good category.

Assessing the sustainability index of part-time and full-time hazelnut farms in Giresun and Ordu Province, Turkey.

The study's primary purposes were to assess the sustainability of hazelnut farms and explore the effects of part-time and full-time farming types on sustainability in hazelnut production in the Giresun and Ordu Province of Turkey. One hundred fifty-two hazelnut farms were selected using the stratified sampling method, and data were collected by using face-to-face questionnaires. Several steps were taken, including using factor analysis after standardizing the variables to determine their weights to calculate the composite hazelnut farms' sustainability index. The research findings showed that overall hazelnut sustainability scores of farms varied from 0.28 to 0.59, and the average score was 0.44 at sampled farms. The composite hazelnut sustainability index was at an unsatisfactory level. The social and economic sustainability index values of farms were equal, and they were higher than the environmental index value. The values were 0.50 and 0.30, respectively. The economic sustainability index score of full-time farms was higher than that of part-time farms, and part-time farms had higher environmental sustainability index scores than that of full-time farms. Social sustainability scores were not different in terms of farm type. It was recommended that when designing and regulating support policies, policy-makers should differentiate part-time and full-time farming. Training and extension programs must be planned to increase the level of knowledge of every willing farmer. To increase sustainability, specific policies are developed according to the farming type.

The Impacts of Technology Shocks on Sustainable Development from the Perspective of Energy Structure—A DSGE Model Approach

Considering that the effect of different types of energy on sustainable development differs, the optimization of energy structure is commonly seen as a decisive factor for sustainable development. In this study, we focus on energy structure and construct a dynamic stochastic general equilibrium (DSGE) analysis framework including the environment, society, and the economy. Furthermore, we analyze the effect of different technology shocks on sustainable development when the proportion of clean energy is separately set at 10%, 20%, and 40%. To demonstrate the conclusions of the DSGE analysis framework, we construct the sustainability index and measure the relationship between the sustainability index scores and the proportion of clean energy of 68 countries in 2017, and the R2 of the linear relationship between the sustainability index score and the proportion of clean energy was 0.30. Results show that the technology shock of clean energy exhibits more benefits for sustainable development than that of non-clean energy. Moreover, we find that the optimization of the energy structure can be helpful for the enhancement of sustainable development capacity. This study is helpful to expand the DSGE analysis framework from the perspective of energy structure. This study also provides effective ways and reference suggestions for local governments to optimize energy structure and improve sustainable development capability.

Farmscape Composition and Livelihood Sustainability in Deforested Landscapes of Colombian Amazonia

In this article, we operationalized a sustainability framing based on the Sustainable Rural Livelihood Resources Framework (SLF), which consists of five capitals—human, physical, social, financial, and natural. We proposed a sustainability index (SI) for two landscapes dominated by two agricultural systems: cattle ranching and small-scale family agriculture. Farm variables within each capital were analyzed using confirmatory factor analysis. Key variables were identified and index values were calculated for each capital. These were combined through a set of simultaneous equations to estimate farm-specific capitals and SI from the observed farm variables. Principal component and cluster analyses were used to group the farms according to their index scores and to further compare their characteristics. Furthermore, with the purpose of comparing the index scoring with an independent metric, a landscape indicator, which comes from a continuous forest, was calculated. From the results, the capitals that contributed to a higher SI score the most were financial and physical. As cattle ranching was associated with higher economic returns and infrastructure investments, this livelihood was identified as the most sustainable. Yet, cattle ranching has been a deforestation driver in the region. These results are attributed to the current conceptual framework design, which gives greater weight to material and economic variables; therefore, it generates a weak sustainability measure. Although the framework allowed us to identify land-use alternatives that could improve SI scores (i.e., silvopastoral systems), corrections to the proposed framework and methodological approach will need to include additional environmental benefits currently unaccounted for. Farmers that use their farms for conservation purposes should be recognized and compensated. An improved environmentally focused SI operational framework could help to endorse and promote sustainable livelihoods and to generate a strong sustainability measure.

Assessing sustainable development of flood mitigation projects using an innovative sustainability assessment framework

AbstractSustainability assessments of flood mitigation projects are crucial for achieving sustainable development of floodplains. This article presents the application of an innovative sustainability assessment (SA) framework for flood mitigation projects throughout its life. The research employed a literature review, consultation with experts, and a case study of a flood mitigation project in Australia. The sustainability assessment framework includes five stages: (a) contextualizing the project; (b) SA at the planning and implementation stage; (c) SA during a flood event; (d) SA at regular intervals; and (e) SA during a change or modification phase. The results of the sustainability assessment at the first two stages of the flood mitigation project suggest how the sustainability index (SI) could be used to choose the best design options. Also, the study presents how the achievement toward sustainability of the finally constructed project could be compared with the planned project using the SI score. Sustainability assessment at Stages 3–5, carried out with possible scenarios, demonstrates that the project's sustainability could be hindered by the growing number of vulnerable population and property development in the floodplain without an upgrade of the project. The findings suggest the applicability of the SA framework for better decision‐making for sustainable flood risk management.

Implementing Teledermatology for Rural Veterans: An Evaluation Using the RE-AIM Framework.

Introduction: Few systematic evaluations of implementing teledermatology programs in large health care systems exist. We conducted a longitudinal evaluation of a U.S. Department of Veterans Affairs (VA) initiative to expand asynchronous consultative teledermatology services for rural veterans. Methods: The reach, effectiveness, adoption, implementation, and maintenance framework guided the evaluation, which included analysis of quantitative VA administrative data as well as an online survey completed by participating facilities. The first 2 years of the program were compared with the year before the start of funding. Results: Sixteen hub facilities expanded teledermatology's reach over the 2-year period, increasing the number of referral spoke sites, unique patients served, and teledermatology encounters. Effectiveness was reflected as teledermatology constituted an increasing fraction of dermatology activity and served more remotely located patients. Adoption through defined stages of implementation progressed as facilities engaged in a variety of strategies to enhance teledermatology implementation, and facilitators and barriers were identified. Program maintenance was assessed by Program Sustainability Index scores, which reflected the importance of executive support, and ongoing concerns about staffing and longitudinal funding. Discussion: Enabling hubs to create solutions that best fit their needs and culture likely increased reach and effectiveness. Important facilitators included organizational leadership and encouraging communication between stakeholders before and during the intervention. Conclusions: A systematic analysis of teledermatology implementation to serve rural sites in VA documented a high degree of implementation and sustainability as well as areas for improvement.

Sustainability assessment of energy systems: A novel integrated model

This paper introduces a new and comprehensive sustainability assessment model for energy systems. The model follows an integrated approach and explores various disciplines that influence sustainability assessment including energy, exergy, economy, environment, society, technology education, and the size of the energy system. These disciplines are taken into consideration when assessing the sustainability of an energy system in a methodological approach by integrating thermodynamic-based concepts as well as other mathematical models in the assessment of each discipline. An index for each discipline is developed to reflect its degree of influence over the overall sustainability index. Target values are used to normalize the data while various aggregation and weighting methods are used to offset possible subjectivity in the assessment. Aggregation using the weighted geometric mean yields in more precise results than using the weighted arithmetic mean. Furthermore, equal weighting scheme yields in the highest sustainability index scores while the individualist scheme results in the lowest sustainability index scores for the sample case study. Based on the weighted geometric mean, the solar PV system has a low sustainability score of 0.56 using the panel method and a high score of 0.59 using the hierarchist and equal weighting methods. The index with the lowest priority factor according to the panel method is the sizing index with a weight of 0.05. The index with the highest priority factor according to panel method is the environmental friendliness index with a weight of 0.18. The energy and exergy efficiencies of the integrated solar photovoltaic system are 66% and 30% respectively.

The Influence of Team Functioning and Workload on Sustainability of Trauma-Focused Evidence-Based Psychotherapies.

It has been over a decade since the U.S. Department of Veterans Affairs (VA) began formal dissemination and implementation of two trauma-focused evidence-based psychotherapies (TF-EBPs). The objective of this study was to examine the sustainability of the TF-EBPs and determine whether team functioning and workload were associated with TF-EBP sustainability. This observational study used VA administrative data for 6,251 patients with posttraumatic stress disorder (PTSD) and surveys from 78 providers from 10 purposefully selected PTSD clinical teams located in nine VA medical centers. The outcome was sustainability of TF-EBPs, which was based on British National Health System Sustainability Index scores (possible scores range from 0 to 100.90). Primary predictors included team functioning, workload, and TB-EBP reach to patients with PTSD. Multiple linear regression models were used to examine the influence of team functioning and workload on TF-EBP sustainability after adjustment for covariates that were significantly associated with sustainability. Sustainability Index scores ranged from 53.15 to 100.90 across the 10 teams. Regression models showed that after adjustment for patient and facility characteristics, team functioning was positively associated (B=9.16, p<.001) and workload was negatively associated (B=-.28, p<.05) with TF-EBP sustainability. There was considerable variation across teams in TF-EBP sustainability. The contribution of team functioning and workload to the sustainability of evidence-based mental health care warrants further study.

A Volunteer and Partnership Baseline for Municipal Forestry Activity in the United States

Communities cultivate citizen support of municipal forestry operations through volunteers and partnerships. Through a national census and survey of urban forestry activity in over 660 municipalities in the United States, researchers found two-thirds of all responding communities involve volunteers in tree activities. This increases from half of small communities (2,500 to 4,999 people) to all large communities (one million or more people) involving volunteers. When tabulated for the United States, a mean national estimate of 345,466 (195,754 SEM) people volunteered 1,484,204 (665,460 SEM) hours with municipal tree activities. This equates to 714 (320 SEM) full-time equivalent (2,080 hour-base year) positions. Overall, volunteers completed nearly 5% of municipal tree care activities. Nearly 80% of the municipalities train their volunteers. Tree planting (85% of communities) was the most common activity, followed by tree watering (40%), awareness/education programs (39%), tree pruning (28%), and fundraising (20%). Findings were contrasted with U.S. census population groups to disaggregate if volunteerism varied by community size. Volunteers were more commonly involved in communities with a greater urban-forestry capacity derived from a sustainability index score. Six attributes of municipal forestry program had either positive (+) or negative (-) effect on volunteer participation in urban forestry activities. These included adequate budget (-), per capita spending (-), tree board (+), outreach (+), strategic plan (+), and total employment (+).

A sustainability performance assessment framework for palm oil mills

The palm oil industry has had to undergo rapid development in order to cope with the increasing demand from consumers year by year. The palm oil industry is receiving criticism from various parties on the issue of sustainability. This paper presents the development of a Palm Oil Mill Sustainability Index that enables millers to assess the sustainability performance of palm oil mills against benchmarks, and to differentiate between the performance of each mill. The assessment was performed via the adoption of a Proximity-to-Target approach that measures the current sustainability performance of the industry relative to policy targets. The industry's comparable performance was observed in terms of sustainability and indicators through a graphical method. The resulting Palm Oil Mill Sustainability Index scores were translated into a five-point rating system to describe the sustainability performance levels for different mills i.e. excellent, good, fair, poor, and very poor. Based on the Palm Oil Mill Sustainability Index scores and rating system, weak performance indicators were identified, for example, excessive use of water consumption due to inappropriate operation of hydrocyclones. By identifying the weak performance indicators, practical recommendations and measures for improvement can be proposed and the Palm Oil Mill Sustainability Index scores recalculated to evaluate the effectiveness of the proposed sustainability performance strategy. Selected palm oil mills in Malaysia were used as a case study to demonstrate the applicability of the framework. The results provide empirical evidence to support a decision-support-system for enhancing palm oil mill sustainability performance, so as to achieve a balance between environmental, economic, and social aspects in the palm oil mill sector.

Assessing and comparing relative farm-level sustainability of smallholder shrimp farms in two Sri Lankan provinces using indices developed from two methodological frameworks

As shrimp farming can be an important means of income generation, particularly among Sri Lanka’s rural communities, it is important that this industry grows in a sustainable manner, starting at the farm level. The objectives of this study were to; 1) create baseline farm-level sustainability indices for smallholder shrimp farms in Sri Lanka using both content-based and system-based frameworks adapted from agriculture; 2) determine whether arranging indicators within both content- and system-based sustainability frameworks would provide additional insight into relative farm sustainability (rather than using just one framework); and 3) seek differences between the North Western Province (NWP) and the Eastern Province (EP) in sustainability index, sub-index, or indicator scores that might be used to create province-specific policies and education programs designed to potentially improve sustainable practices at the farm level. Since little has been published on the development of practical indicators and evaluation of farm-level sustainability in aquaculture, this study adapted two types of frameworks used for measuring sustainability in agriculture: content- and system-based. Using both frameworks, along with expert opinion, indicators of farm level sustainability were developed into a questionnaire and measured on 225 farms in two provinces of Sri Lanka. Indicators primarily included modifiable practices that farmers could influence to improve the chances of their farms’ survival. The farm indicators were normalized using “min-max” normalization, where scores of zero and one were assigned for the least and most sustainable options, respectively. Farm indicators in each province were then aggregated into sub-indices as well an overall aggregated sustainability index score. Similar themes were gleaned from both the content-based and system-based sustainability frameworks, and there was no significant difference between mean overall sustainability scores for the two different frameworks. Farms in the NWP scored significantly higher on the overall sustainability indices of both models despite the NWP’s history of severe disease outbreaks while the EP farms had no disease. Possible reasons for this difference were explored with an in-depth analysis of sub-indices as well as individual indicators. An overall aggregated sustainability index score was a useful baseline measure for monitoring changes in sustainability over time; however, its use was limited when attempting to identify gaps in sustainable management practices and provide practical information for farmers and stakeholders to improve farm-level sustainability. It was important to evaluate individual indicators in addition to sub-indices and overall index scores when making recommendations or identifying gaps in sustainable practices at the farm level.

A proposed framework to assess upstream supply chain sustainability

There are few methods that are suitable for assessing the sustainability of companies and supply chains in an integrated way, taking into consideration the economic, social and environmental dimensions. This paper proposes a framework for assessing the sustainability of individual companies and their corresponding upstream supply chain. The framework consists of a set of steps to evaluate the sustainability of both the individual company and their upstream supply chain. The linear aggregation technique is suggested to combine the set of indicators from the economic, environmental and social dimensions of sustainability into a unique value, giving rise to a composite index for the company and corresponding supply chain. The proposed framework represents a contribution in the area of index construction and could be used as a valuable component of sustainability reporting and sustainability management practices. It also represents an important benchmarking tool, offering managers the possibility of identifying the supply chain partners that are best and worst performers in terms of sustainability while at the same time making it possible to improve company performance. Managers can adjust their company’s behaviour according to their sustainability index score and improve economic, social and environmental performance.

Multi-criteria decision-making model for assessing the sustainability index of wind-turbine support systems: application to a new precast concrete alternative

A multi-criteria decision-making system based on the MIVES method is presented as a model for assessing the global sustainability index scores of existing wind-turbine support systems. This model is specifically designed to discriminate between tower systems in order to minimize the subjectivity of the decision and, thus, facilitate the task of deciding which system is best for a given set of boundary conditions (e.g., height, turbine power, soil conditions) and economic, social and environmental requirements. The model’s versatility is proven by assessing the sustainability index of an innovative new precast concrete tower alternative also described in this paper. As a result of this analysis, some points of improvement in the new system have been detected.