Search

Purpose: The 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/approach: Autoregressive 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. Findings: The 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/implications: The 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 implications: Plenty 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/value: The 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. [ABSTRACT FROM AUTHOR]

China' s goal of achieving peak carbon emissions by 2030 is the fundamental foundation for its scheduled achievement of carbon neutrality by 2060. Taking 280 prefectural-level cities in China from 2006 to 2019 as the research object and the achievement of the carbon peak goal by 2030 as the rigid constraint, this study proposed the logic of 'symbiosis-co-governance-sharing' and focused on the characteristics of symbiosis on carbon emissions and air pollution. On the basis of the quantitative decomposition of the annual goal of reaching peak carbon emissions and the identification of the profit and loss deviation on both carbon emissions and air pollution, this study examined the co-governance synergistic effects of carbon and air pollution and the sharing paths. The results showed that: (1) The goal of reaching peak carbon emissions played a significant synergistic role in reducing pollution and carbon emissions, which could promote the development of cities from deviation to balance and optimization and promote the urban function of making ' bad to good, good to better, and better to best, (2) The synergistic effects of the carbon peak goal on reducing pollution and carbon emissions showed a significant heterogeneous selection effect. In China' s western cities, resource-based cities, environmental protection key cities, and first-mover cities, these effects played a more important role and had a stronger influence. (3) The sharing paths of the synergistic effects lay in the dual perspectives of 'internal' and 'external' source management-process control-end-of-pipe blocking and the dynamic matching of external environmental policy uncertainty. In the continuous promotion of the ' dual carbon' goals, close attention should be paid to carbon reduction and the optimization of the design of multiple sharing paths to enhance the synergistic effects of carbon and pollution reduction. In specific, we should: (1) strengthen source management, control total fossil energy consumption at the source, adjust industrial structure, and focus on energy saving and consumption reduction; (2) strictly control process management, investigate the pollution transfer phenomenon caused by differences in environmental regulation levels and the consequences of profit and loss deviation, and promote the construction of green transportation system through multi-wheel drive; (3) highlight end-of-pipe blocking, implement the whole process of governance, monitoring, and emission reduction, enhance green innovation and fully utilize carbon reduction and sink increase; (4) use dynamic adjustment to achieve internal and external matching and timely implement environmental policies according to local conditions so as to achieve adjustment and precise regulations on time. [ABSTRACT FROM AUTHOR]

This study applies the classical difference-in-difference (DID) and spatial difference-in-difference (SDID) approach to measure the policy effect of the mandatory environmental protection interview (EPI) on green innovation with focus on 11,567 industrial manufacturing enterprises in Yangtze River Delta (YRD), China. Overall, the mandatory EPI has significantly promoted green innovation in industrial manufacturing enterprises in YRD by 0.399 units, which is greater than its promotion in green innovation for national industrial enterprises. Industrial manufacturing enterprises tend to increase utility patents more than invention patents under the impact on EPI. A heterogeneity analysis shows that EPI plays a larger role in promoting green innovation for highly polluting enterprises and privately owned enterprises than low polluting enterprises and state-owned enterprises. The innovative application of SDID approach precisely identifies that mandatory EPI has negative and positive effect on green innovation for the interviewed and non-interviewed neighbouring YRD cities. The EPI has a deterrent effect on the non-interviewed cities and stimulates their self-reliance innovation behaviours to realizing green innovation promotion. Except for the highly polluting enterprises with lower government environmental subsidy (GES) tending to purse more GI under EPI, the overall adjustment effect of GES on EPI to have a policy effect is insignificant. • Classical and spatial difference-in-difference approaches are used to measure the effect of EPI on green innovation. • EPI has greater promotion role on green innovation of manufacturing enterprises in YRD than national industrial enterprises. • Industrial manufacturing enterprises tend to increase utility patents more than invention patents under the impact on EPI. • EPI has better stimulation effect on green innovation for highly polluting enterprises than low polluting enterprises. • EPI restricts green innovation in interviewed cities while promotes green innovation for non-interviewed neighbouring cities. [ABSTRACT FROM AUTHOR]