.png){kind=icon}
返回
Predicting Turkey's Sustainable Development Performance Using Machine Learning
.png){kind=icon}
PRE
AI
DOI：10.1002/sd.70750.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This study examines how machine learning techniques can be used to predict Turkey's national sustainability performance in a comprehensive and data-driven manner. Sustainable development is a multidimensional concept shaped by economic, social, environmental, and technological factors, making its assessment challenging through traditional analytical methods. Using official national and international data covering the period 2000–2022, this study develops predictive models based on key sustainability indicators. Several machine learning algorithms are applied and compared to evaluate their ability to capture complex relationships among sustainability dimensions. The results show that machine learning models can successfully forecast Turkey's sustainability performance with high accuracy, highlighting the importance of technological capability, economic structure, social development, and environmental conditions. The findings demonstrate the potential of machine learning as a decision-support tool for sustainability monitoring and policy design. This study contributes to the literature by providing a replicable framework for national-level sustainability assessment and offers practical insights for policymakers seeking evidence-based strategies to support sustainable development goals (SDGs). From a policy perspective, the results provide concrete guidance for Turkey and similar developing countries by highlighting priority areas such as digital infrastructure, innovation capacity, female employment, and renewable energy policies to improve long-term sustainability performance.
Keyword:
machine learning
policy for sustainable development
sustainability index
sustainable development
sustainable development goals (SDGs)
期刊
IF:
8.2
论文数:
4.0K
被引数:
1.2W
机构
引用论文
Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios.png)
Energies
OAAI
EnergiesIF0
OAAI分享收藏Machine learning-enhanced assessment of urban sustainable development goals progressCITIES
CITIESIF6.6
PREAI
分享收藏Relationship Between Sustainable Development and Financial Performance: International Empirical Research可持续发展与金融绩效关系的国际实证研究
PREAI
分享收藏Integrating Environmental, Social, and Economic Dimensions to Monitor Sustainability in the G20 CountriesSUSTAINABILITYOAAI
SUSTAINABILITYIF3.3
OAAI分享收藏Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in TürkiyePLOS One
PLOS OneIF0
PREAI
分享收藏
查看更多内容