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

Author:

Borgohain Boris Raj1,Singh Krishna Kumar1

Affiliation:

1. Symbiosis Centre for Information Technology, Pune, Maharashtra, India

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.

Publisher

SAGE Publications

Subject

General Earth and Planetary Sciences

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Significance of Emerging Technological Advancements in Transition of Green Economy;2023 IEEE Devices for Integrated Circuit (DevIC);2023-04-07

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