Search

Highlights • India's emissions and intensity are driven by private consumption, followed by investment and exports. • India's emission increase comes from final demand and production structure changes. • India's increase of household indirect emissions mainly comes from per capita income increase. • India's aggregate embodied intensity by final demand category all increased. • India's aggregate embodied intensity changes mainly determine by production structure changes. Abstract India is the second largest developing country and fourth largest carbon emitter in the world. It has registered the rapid economic growth (7–9%) in the last decade. However, both its total carbon emissions and emission intensity (CO 2 emissions per GDP) kept increasing during period 2007–2013. There are few studies using input-output (I-O) analysis for India's energy/emissions in the literature. This paper tries to fill in the gap by using I-O framework to study India's total emissions and intensity changes and its driving forces with the latest data available and newly proposed techniques. The results show that India's carbon emission were mainly driven by private consumption (50–55%), followed by investment (25–26%) and exports (14–19%). During period 2007/08–2013/14, India's total emissions increased by 56.6%, where total final demand change resulted in emissions increasing and the shift of demand from raw material industry to high-value added manufacturing industry helped to reduce the emissions. When measuring India's relative emission efficiency, its aggregate embodied intensity (AEI) indicator in aggregate was mainly determined by private consumption (47–49%), followed by investment (23–24%) and exports (15–18%). From 2007/08 to 2013/14, the AEI values in aggregate and by final demand category all increased except the AEI of inventory change, mainly caused by production structure change. The emission efficiency improvements helped to reduce India's total emissions and carbon intensity, but the contributions were small. The policy implications of our findings are also discussed. [ABSTRACT FROM AUTHOR]

Renewable energy has a critical role in limiting the greenhouse gas (GHG) emissions. This paper assesses the implication of aligning renewable energy deployment target with national emission reduction target for mitigation cost. The assessment methodology uses Asia-Pacific Integrated Assessment/computable general equilibrium (AIM/CGE) model to determine the mitigation cost in terms of GDP and welfare loss under alternative renewable targets in different climate-constrained scenarios. A range of country-specific emission constraints is taken to address the uncertainties related to global emission pathway and emission entitlement scheme. Comparative results show that China needs to increase its share of non-fossil fuel significantly in the primary energy mix to achieve the stringent emission reduction target compared to India. The mitigation cost in terms of economic and welfare loss can be reduced by increasing the penetration of the renewable energy to achieve the same emission reduction target. The modeling results show that coordinated national climate and renewable energy policies help to achieve the GHG emission reduction target in an efficient and cost-effective manner. [ABSTRACT FROM AUTHOR]

Abstract: Sensitivity analysis is a technique that evaluates the model response to changes in input assumptions. Due to uncertain prices of primary fuels in the world market, Government regulations for sustainability and various other technical parameters there is a need to analyze the techno-economic parameters which play an important role in policy formulations. This paper examines the variations in technical as well as economic parameters that can mostly affect the energy policy of India. MARKAL energy simulation model has been used to analyze the uncertainty in all techno-economic parameters. Various ranges of input parameters are adopted from previous studies. The results show that at lower discount rate coal is the least preferred technology and correspondingly carbon emission reduction. With increased gas and nuclear fuel prices they disappear from the allocations of energy mix. [Copyright &y& Elsevier]