An Empirical Analysis Using Machine Learning to Identify Features Influencing the Green Economy of India

Boris Raj Borgohain, K. Singh
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引用次数: 1

Abstract

Due to the vast changes being experienced in the current world climate, sustainable development and green economy have become key terms as counters to the experienced climate changes. As such, this article analyzes the features of green economy that would be key in the world’s development towards a green economy and a sustainable environment. The article uses the conceptualization of green GDP as an indicator of green economic development for the analysis. The article uses dimension reduction techniques and machine learning algorithms to identify the features with high importance in green economy. Results of the analysis show that the defined factor technological investment has the highest importance on development of green economy, and economic growth also exhibits a considerable amount of importance. The study provides suggestions on the direction of policy development by stakeholders for increasing the green GDP, which acts as the indicator of green economic development.
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利用机器学习识别影响印度绿色经济特征的实证分析
由于当前世界气候正经历着巨大的变化,可持续发展和绿色经济已成为应对气候变化的关键术语。因此,本文分析了绿色经济的特征,这将是世界向绿色经济和可持续环境发展的关键。本文采用绿色GDP的概念作为绿色经济发展的指标进行分析。本文利用降维技术和机器学习算法来识别绿色经济中重要的特征。分析结果表明,技术投资对绿色经济发展的重要性最高,经济增长对绿色经济发展的重要性也相当大。研究为利益相关者提高绿色GDP的政策制定方向提供了建议,绿色GDP作为绿色经济发展的指标。
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