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FDI Inflows – Green Indices – CO2 Emissions in India: A Transitive Dependency Analysis

Rahul Kumar Si

Abstract



Transitive dependency plays an important role in inferential statistics for data integrity and data consistency. After identifying and resolving, it can be structured efficiently and avoid prolixity and standardisation. This study liaisoning between FDI, CO2 emission and two sustainable green indices – SnP BSE Carbonex: Adherence of industries towards reduce threats arising from climate change and SnP BSE Greenex: Companies performance in terms of greenhouse gas (GHG) effusions with time span from 2010 to 2022. The methods used here to analyse the transitive dependency between FDI, SnP BSE Carbonex and Greenex and CO2 emission includes Karl Person's Coefficient of Correlation and Simple Linear Regression using SPSS software. From the analysis, FDI inflows to developing countries like India with high concentration of energy-intake enterprises directing to consequential positive impacts on ecological deterioration in presence of wan environmental regulations as compared to developed countries.

Keywords


FDI, Stock, Emission, Regression and Transitive

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