Environmental Policy Implications of Carbon Tax Implementation Using Natural Language Processing

One of the adopted policies to contribute to this effort is the carbon tax policy, which is being implemented in several countries.However, its effectiveness remains heavily affected by public perceptions and reactions.Therefore, this paper explores the environmental policy implications of carbon tax implementation in Indonesia using a Natural Language Processing (NLP) approach.As seen, the data were directly surveyed from 377 respondents and analyzed using the BERT model.After analysis, most respondents feel positive about the carbon tax, stating that with a policy like that, levels of pollution will be reduced in a green economy.Word clouds of text data bring to the fore important keywords on carbon tax -'emission', 'climate change', and 'green economy'pointing to the actual gist on which the public discourse is centered.The correlation analysis also shows a strong relationship between perceptions of the carbon tax with views on economic and environmental impacts.The implications are useful for policymakers to come up with a communication strategy optimization and an implementation of the carbon tax in Indonesia, considering public concerns and expectations.