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PurposeThe present study is a novel attempt to measure the impact of population growth, natural resource depletion, non-renewable energy consumption, growth of national income, remittances inflow and industrial output on carbon dioxide emissions in India during the period of 1980–2018.Design/methodology/approachAutoregressive distributive lag (ARDL) is used to achieve the objective. The application of FMOLS (fully modified ordinary least squares), DOLS (dynamic ordinary least squares) and CCR (canonical cointegrating regression) techniques illustrate statistical robustness.FindingsThe long-run ARDL results confirm that increase in population, national income and energy consumption have a positive and significant impact on pollution levels in India. In contradiction to this, long run results further reveal that the increase in natural resource depletion, industrial output and remittances inflow have insignificant and negative impact on pollution levels in India. Further, the empirical findings did not find any evidence for the applicability of the environmental Kuznets curve (EKC) in India during the study period.Research limitations/implicationsThe study is confined to only a few important determinants of CO2 emissions in India. However, there is a large chunk of studies that have incorporated other determinants of CO2 emissions. Specifying a few determinants of CO2 emissions in India is itself a lacuna in the present study. Moreover, taking the time period from 1980 to 2018 is also one of the limitations of the study.Practical implicationsPlenty of research has been devoted to the causal relationship between the environment and its various determinants. However, not much attention has been paid to investigating the association between population growth, natural resource depletion, energy consumption, GDP per capita, remittances inflow, industry and carbon dioxide emissions in India. Since, CO2 emissions are one of the widely accepted and applied emissions in EKC applications, which the present study intends to test. Moreover, the study employs advanced econometric techniques including ARDL framework, FMOLS, DOLS and CRR methodologies to achieve robust results. Such an investigation will potentially allow policymakers to frame efficient environmental and fiscal policies to achieve the desired results.Originality/valueThe continuous increase of CO2 emissions in India has compelled policy makers to prioritize this issue as soon as possible and formulate national environmental policy for reducing the share of carbon dioxides emissions in climate change. The study could constitute the focus of future research.

The study tries to analyze the impact of national income on public expenditure. Further, we also endeavor to examine the asymmetric adjustment in the context of the Indian economy. Initially, unit root tests employing Augmented Dickey-Fuller (ADF) and Phillips-Perron test (PP) are used to evaluate the stationarity of the underlying data. Furthermore, the well-known non-linear autoregressive distributive lag (NARDL) model is used on yearly time series data from 1980 to 2018 to evaluate the long-run and short-run implications of the aforementioned association. The non-linear ARDL long–run results confirm the validity of Wagnerian postulation in all its five variants in India during the study period. The asymmetric ARDL results reveal that a positive shock in national income increases government expenditure. At the same time, a negative shock in the same causes a reduction in government expenditure. The results suggest the effectiveness of public expenditure as a fiscal policy tool in driving economic development in sub-national budgeting. This study is novel in the sense that the national income vs. public expenditure debate is revisited in the current scenario of country’s development so that resource allocation be optimized. To ensure robustness of the study, we specifically took total revenue and capital expenditure as public expenditure and Net National Product at Factor Cost (NNP FC ) as a proxy of National income.