From Data to Impact: Machine Learning Models for Sustainable Development Region Classification- Accelerating the Achievement of Sustainable Development Goals through Predictive Analytics DOI Creative Commons

D. Vijayanand

International Journal For Multidisciplinary Research, Journal Year: 2023, Volume and Issue: 5(5)

Published: Oct. 5, 2023

This research paper presents a classification model for predicting the region to which country belongs based on its sustainability scores and other related features. The dataset used in this study comprises comprehensive data progress towards achieving Sustainable Development Goals (SDGs) various countries. primary objective is understand regional trends assess countries' sustainable development. begins with preparation preprocessing steps, including merging datasets, handling missing values, standardizing Exploratory analysis performed visualize distribution of target variable (region) distributions numeric features SDG scores. Additionally, relationships between these are explored using correlation matrices pair plots. Several machine learning models employed classify countries into their respective regions. include Random Forest, Support Vector Machine (SVM) linear kernel, K-Nearest Neighbors (KNN), Logistic Regression, Decision Tree, SVM radial basis function (RBF) kernel. Each trained dataset, performance evaluated terms accuracy, precision, recall, F1-score. results demonstrate effectiveness accurately classifying regions attributes. findings reveal that Neighbors, RBF kernel achieve exceptionally high suggesting suitability metrics. Regression also provide competitive results. In conclusion, contributes understanding by utilizing predict associated Such predictive can be valuable tools policymakers organizations seeking address disparities development progress.

Language: Английский

Unlocking the link between low emission supply chains, blockchain adoption, and financial success: The payoff of socially responsible practices in supply chains DOI
Amitab Bhattacharjee, Asghar Afshar Jahanshahi, Sudip Chakraborty

et al.

Business Strategy & Development, Journal Year: 2024, Volume and Issue: 7(1)

Published: Feb. 23, 2024

Abstract The adoption of environmentally and socially responsible practices, particularly in the form low‐emission supply chain management (LESCM), has become increasingly vital for businesses globally. Renewable energy‐oriented LESCM practices are effective tools proactive leading manufacturing organizations, making them enterprises. In this context, our research focuses on understanding how implementation by companies may indirectly impact firms' financial success, through facilitating blockchain technology (BT). Furthermore, we investigated BT reducing business operating costs improving business's environmental performance. To answer these questions, have used survey data from 189 Bangladeshi firms, a developing country facing unique challenges opportunities realm sustainable practices. Through rigorous analysis robust statistical methods, substantiate hypotheses, shedding light positive associations between adoption, performance, cost reduction, sustainability.

Language: Английский

Citations

9
Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya DOI
Fredrick Juma Syanya,

M. Harikrishnan,

Naomy Nasambu Simiyu

et al.

Business Strategy & Development, Journal Year: 2024, Volume and Issue: 7(2)

Published: April 15, 2024

Abstract In Kenya, aquaculture plays a significant role in enhancing the livelihoods of rural communities by boosting local economy and diversifying protein sources. Although Vihiga County Western Kenya boasts considerable potential for aquaculture, it paradoxically experiences some highest levels poverty malnutrition country. The profitability fish farming has also been affected inefficiencies poor resources, disproportionately affecting income nutritional value who rely on Aquaculture as source cheap protein. study was conducted to assess cost–benefit production, selecting 100 farmers through stratified random sampling technique from five sub‐counties. A descriptive research design employed, data analysis using correlation regression with SPSS. Budgetary techniques were used analysis. Data presentation comparing mean standard deviation US dollars different pond size production. findings indicated that type do not have differences production ( p‐ >.05). There is strong positive between stocking density. variable cost (VC) productivity meaning an increase VC leads And statistically p ‐value = .21827, Moreover, total (TC) .0351, < .05). Larger ponds are more profitable but require higher costs than smaller ponds. concludes significantly impacts productivity, advocating achieve net returns lower costs. Major challenges include high feeds, inputs, diseases, post‐harvest losses. Key policy variables influencing infrastructure, feed capital, fisheries extension services. Adequate financial support both National governments crucial sustainable alignment Kenya's Vision 2030 Global Sustainable Development Goals. Policymakers urged assist small‐scale financing, training, market information optimize investment.

Language: Английский

Citations

4
Innovation in times of crisis: a pragmatic and inclusive approach to cope with urgent global sustainability challenges DOI Creative Commons
Philipp Aerni

Frontiers in Environmental Economics, Journal Year: 2025, Volume and Issue: 4

Published: March 26, 2025

The term “polycrisis” has become a buzzword to describe the entanglement and reinforcement of multiple global crises that may put survival humankind at risk. It builds upon Sustainability Science its research on complex interactions systemic risks. approach roots in “Limits Growth” report published by Club Rome 1972. publication predicted sustainability crisis response growing human resource consumption. threat is real, but there are lessons be learned from coping with past how they were addressed far-sighted government initiatives incentivized decentralized innovation systems achieve well-defined objectives. These proved effective because based an adequate understanding endogenous nature economic development biocapacity societal resilience can enhanced through higher levels complexity. Contemporary European mission-oriented policies (MOIPs) their strong faith state as pacesetter economy lack this understanding. In paper, more pragmatic policy proposed accelerate progress UN Sustainable Development Goals (UN SDGs) general, food security particular. combines target orientation US missions commitment international crop networks mobilize entrepreneurship for inclusive development. Throughout history, such opportunity-driven approaches public responses than attempts minimize risks limiting growth.

Language: Английский

Citations

0
Synthesising and Conceptualising Circular Supply Chains: A State-of-the-Art Literature Review DOI
Chiranjit Das

The Journal of Environment & Development, Journal Year: 2024, Volume and Issue: 33(3), P. 339 - 369

Published: Feb. 9, 2024

The advent of the circular economy principle has triggered supply chain transformation in recent years. This article aims to conduct a state-of-the-art review chains. To this aim, 91 peer-reviewed published journal articles from academic databases were collected and evaluated using an inductive approach. study findings are classified into multiple dimensions These include designing products for chains, integration, digital end-of-life management capabilities. study’s contribution is analyse issues develop unique propositions chain. In future, may be extended specific such as transformation, collaboration critical success factors

Language: Английский

Citations

3
Implications of mineral price volatility on the outcome of social life cycle assessment interpretation—a battery material case study DOI Creative Commons
Anni Orola, Ville Uusitalo, Jarkko Levänen

et al.

The International Journal of Life Cycle Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: April 19, 2024

Abstract Purpose New research methods are needed to better understand the progress toward social sustainability goals. Social life cycle assessment (S-LCA) is one way measure this progress, but price volatility may cause challenges in using monetary value-based S-LCA modelling with typical databases. To address these methodological concerns, study focuses on assessing impacts of results through a comparative case risks battery materials. Methods The Hotspot Database (SHDB) was used compare cathode active material (CAM) production Finland and globally see how minerals S-LCA. Also, sensitivity analysis performed prices multiple energy types NMC 811 CAM production. Results discussion This shows that might have an unanticipated effect S-LCA, e.g., by increasing when mineral decreased due volatility. interpretation or two different studies data from years compared each other, product declarations (SPD). However, main purposes SHDB find countries sectors highest supply chain, were less sensitive except for lithium which also had fluctuation. Conclusions Price can significant It recommended considered if developing category rules battery-related sectors. importance analyses should be emphasized, physical unit-based reference flow preferred site-specific collection about worker hours possible.

Language: Английский

Citations

2
The purpose of the company beyond its position in the market: The new agent of social development DOI
Rolando Rodrich‐Portugal, Mauro Marino‐Jiménez, Guillermo Mayurí‐Aguilar

et al.

Business Strategy & Development, Journal Year: 2023, Volume and Issue: 6(4), P. 931 - 941

Published: Aug. 30, 2023

Abstract The purpose of companies as profit generators has been questioned because the relationship between strategy and results in recent systemic crises. Therefore, it is necessary to implement strategies that allow economic sustainability, based on a better with society environment. This means turning into agents for development protection community, well building trust their own stakeholders. article analyzes bases consolidation related these principles, using system thinking integrated participation Corporate Social Responsibility (CSR) Sustainable Development Goals (SDGs). allows replicability archetypes explain dynamic relationships organizations, flexibility openness required adapt different contexts.

Language: Английский

Citations

3
From Data to Impact: Machine Learning Models for Sustainable Development Region Classification- Accelerating the Achievement of Sustainable Development Goals through Predictive Analytics DOI Creative Commons

D. Vijayanand

International Journal For Multidisciplinary Research, Journal Year: 2023, Volume and Issue: 5(5)

Published: Oct. 5, 2023

This research paper presents a classification model for predicting the region to which country belongs based on its sustainability scores and other related features. The dataset used in this study comprises comprehensive data progress towards achieving Sustainable Development Goals (SDGs) various countries. primary objective is understand regional trends assess countries' sustainable development. begins with preparation preprocessing steps, including merging datasets, handling missing values, standardizing Exploratory analysis performed visualize distribution of target variable (region) distributions numeric features SDG scores. Additionally, relationships between these are explored using correlation matrices pair plots. Several machine learning models employed classify countries into their respective regions. include Random Forest, Support Vector Machine (SVM) linear kernel, K-Nearest Neighbors (KNN), Logistic Regression, Decision Tree, SVM radial basis function (RBF) kernel. Each trained dataset, performance evaluated terms accuracy, precision, recall, F1-score. results demonstrate effectiveness accurately classifying regions attributes. findings reveal that Neighbors, RBF kernel achieve exceptionally high suggesting suitability metrics. Regression also provide competitive results. In conclusion, contributes understanding by utilizing predict associated Such predictive can be valuable tools policymakers organizations seeking address disparities development progress.

Language: Английский

Citations

0