CO 2 emissions structure of Indian economy

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UNCORRECTED PROOF CO 2 emissions structure of Indian economy Jyoti Parikh a, * , Manoj Panda b , A. Ganesh-Kumar b , Vinay Singh a a Integrated Research & Action for Development, IRADe, C-50 Chhota, Singh Block Asian Games Village, Khel gaon, New Delhi 110011, India Q1 b Indira Gandhi Institute of Development Research, Gen. A.K. Vaidya Marg, Goregaon (E), Mumbai, India article info Article history: Received 23 April 2008 Received in revised form 30 January 2009 Accepted 19 February 2009 Available online xxx Keywords: SAM (Social Accounting Matrix) Direct emissions Indirect emissions abstract This paper analyses carbon dioxide (CO 2 ) emissions of the Indian economy by producing sectors and due to household final consumption. The analysis is based on an Input–Output (IO) table and Social Accounting Matrix (SAM) for the year 2003–04 that distinguishes 25 sectors and 10 household classes. Total emissions of the Indian economy in 2003–04 are estimated to be 1217 million tons (MT) of CO 2 , of which 57% is due to the use of coal and lignite. The per capita emissions turn out to be about 1.14tons. The highest direct emissions are due to electricity sector followed by manufacturing, steel and road transportation. Final demands for construction and manufacturing sectors account for the highest emissions considering both direct and indirect emissions as the outputs from almost all the energy- intensive sectors go into the production process of these two sectors. In terms of life style differences across income classes, the urban top 10% accounts for emissions of 3416 kg per year while rural bottom 10% class accounts for only 141 kg per year. The CO 2 emission embodied in the consumption basket of top 10% of the population in urban India is one-sixth of the per capita emission generated in the US. Ó 2009 Elsevier Ltd. All rights reserved. 1. Introduction Energy sector in India is poised for transformation due to the high economic growth as well as great concern for climate change induced by greenhouse gases (GHGs), especially carbon dioxide (CO 2 ) emissions due to use of fossil fuels. According to the United Nations Framework Convention on Climate Change (UNFCCC) adopted at Rio Summit in 1992 India does not have the responsi- bility to reduce emissions below the current values, however it is committed to slow down the emissions growth as a signatory of the UNFCCC and due to concerns regarding impact of climate change. Therefore the CO 2 emissions by various sectors need to be esti- mated so that measures can be undertaken to reduce the emissions as far as possible without compromising economic growth. This calls for estimates of CO 2 emissions at national levels by major sources and sectors. Indeed the UNFCCC adopted at the Rio Summit in 1992 requires all nations to report national inventories of greenhouse gas emissions. Since CO 2 emissions growth is largely influenced by anthropogenic factors, especially by production activities that require fossil fuels, the relationships of energy use with economic growth and its structure need to be analyzed before undertaking an exercise in projections for the future. There have been several studies on the emissions of GHGs in India, and some of them deal with sectoral emissions in the country [1–7]. Parikh and Gokarn is one of the earliest attempts at esti- mating emission levels in various sectors of the economy for the year 1983–84 [1]. Murthy et al. made a detailed study of interac- tions among economic growth, energy demand and carbon emis- sions for the Indian economy using Input–Output (IO) table for 1989–90 and projected emissions for 2004–05 [2,3]. Mukho- padhyay and Forsell estimated the trends of CO 2 , SO 2 and NO x between the periods 1973–74, 1983–84, 1991–92 and 1996–97 using the IO approach [4]. Nag and Parikh provide time series estimates of indirect carbon emissions per unit of power consumption [7]. Garg et al. analyzed sectoral trends of multi gas emission inventory of India [6]. Sharma et al. analyzed the total greenhouse gas emissions from India for broad sectors such as energy, industrial processes, agriculture activities, land use, land use change and forestry and waste management practices for 1990, 1994 and 2000 [8]. This paper attempts to provide a more recent and detailed perspective on CO 2 emissions for India by major sectors for the year 2003–04 based on the latest available Social Accounting Matrix (SAM), which incorporates the IO flows at 25-sector level and 10 household classes for that year. Specifically, this paper analyzes the following questions: What is the total emission of the Indian economy by fuel type and by demand categories? * Corresponding author. Tel.: þ91 11 26490126; fax: þ91 11 26495523. E-mail addresses: [email protected] (J. Parikh), [email protected] (M. Panda), [email protected] (A. Ganesh-Kumar), [email protected] (V. Singh). Contents lists available at ScienceDirect Energy journal homepage: www.elsevier.com/locate/energy ARTICLE IN PRESS 0360-5442/$ – see front matter Ó 2009 Elsevier Ltd. All rights reserved. doi:10.1016/j.energy.2009.02.014 Energy xxx (2009) 1–7 EGY2307_proof 11 April 2009 1/7 Please cite this article in press as: Parikh J et al., CO 2 emissions structure of Indian economy, Energy (2009), doi:10.1016/j.energy.2009.02.014 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109

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CO2 emissions structure of Indian economy

Jyoti Parikh a,*, Manoj Panda b, A. Ganesh-Kumar b, Vinay Singh a

a Integrated Research & Action for Development, IRADe, C-50 Chhota, Singh Block Asian Games Village, Khel gaon, New Delhi 110011, Indiab Indira Gandhi Institute of Development Research, Gen. A.K. Vaidya Marg, Goregaon (E), Mumbai, India

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a r t i c l e i n f o

Article history:Received 23 April 2008Received in revised form30 January 2009Accepted 19 February 2009Available online xxx

Keywords:SAM (Social Accounting Matrix)Direct emissionsIndirect emissions

* Corresponding author. Tel.: þ91 11 26490126; faxE-mail addresses: [email protected] (J. Parikh), m

[email protected] (A. Ganesh-Kumar), [email protected]

0360-5442/$ – see front matter � 2009 Elsevier Ltd.doi:10.1016/j.energy.2009.02.014

Please cite this article in press as: Parikh J e

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a b s t r a c t

This paper analyses carbon dioxide (CO2) emissions of the Indian economy by producing sectors and dueto household final consumption. The analysis is based on an Input–Output (IO) table and SocialAccounting Matrix (SAM) for the year 2003–04 that distinguishes 25 sectors and 10 household classes.Total emissions of the Indian economy in 2003–04 are estimated to be 1217 million tons (MT) of CO2, ofwhich 57% is due to the use of coal and lignite. The per capita emissions turn out to be about 1.14 tons.The highest direct emissions are due to electricity sector followed by manufacturing, steel and roadtransportation. Final demands for construction and manufacturing sectors account for the highestemissions considering both direct and indirect emissions as the outputs from almost all the energy-intensive sectors go into the production process of these two sectors. In terms of life style differencesacross income classes, the urban top 10% accounts for emissions of 3416 kg per year while rural bottom10% class accounts for only 141 kg per year. The CO2 emission embodied in the consumption basket of top10% of the population in urban India is one-sixth of the per capita emission generated in the US.

� 2009 Elsevier Ltd. All rights reserved.

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UNCORREC1. Introduction

Energy sector in India is poised for transformation due to thehigh economic growth as well as great concern for climate changeinduced by greenhouse gases (GHGs), especially carbon dioxide(CO2) emissions due to use of fossil fuels. According to the UnitedNations Framework Convention on Climate Change (UNFCCC)adopted at Rio Summit in 1992 India does not have the responsi-bility to reduce emissions below the current values, however it iscommitted to slow down the emissions growth as a signatory of theUNFCCC and due to concerns regarding impact of climate change.Therefore the CO2 emissions by various sectors need to be esti-mated so that measures can be undertaken to reduce the emissionsas far as possible without compromising economic growth. Thiscalls for estimates of CO2 emissions at national levels by majorsources and sectors. Indeed the UNFCCC adopted at the Rio Summitin 1992 requires all nations to report national inventories ofgreenhouse gas emissions. Since CO2 emissions growth is largelyinfluenced by anthropogenic factors, especially by productionactivities that require fossil fuels, the relationships of energy usewith economic growth and its structure need to be analyzed beforeundertaking an exercise in projections for the future.

: þ91 11 [email protected] (M. Panda),

(V. Singh).

All rights reserved.

t al., CO2 emissions structure

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There have been several studies on the emissions of GHGs inIndia, and some of them deal with sectoral emissions in the country[1–7]. Parikh and Gokarn is one of the earliest attempts at esti-mating emission levels in various sectors of the economy for theyear 1983–84 [1]. Murthy et al. made a detailed study of interac-tions among economic growth, energy demand and carbon emis-sions for the Indian economy using Input–Output (IO) table for1989–90 and projected emissions for 2004–05 [2,3]. Mukho-padhyay and Forsell estimated the trends of CO2, SO2 and NOx

between the periods 1973–74, 1983–84, 1991–92 and 1996–97using the IO approach [4]. Nag and Parikh provide time seriesestimates of indirect carbon emissions per unit of powerconsumption [7]. Garg et al. analyzed sectoral trends of multi gasemission inventory of India [6]. Sharma et al. analyzed the totalgreenhouse gas emissions from India for broad sectors such asenergy, industrial processes, agriculture activities, land use, landuse change and forestry and waste management practices for 1990,1994 and 2000 [8].

This paper attempts to provide a more recent and detailedperspective on CO2 emissions for India by major sectors for the year2003–04 based on the latest available Social Accounting Matrix(SAM), which incorporates the IO flows at 25-sector level and 10household classes for that year. Specifically, this paper analyzes thefollowing questions:

� What is the total emission of the Indian economy by fuel typeand by demand categories?

of Indian economy, Energy (2009), doi:10.1016/j.energy.2009.02.014

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Table 1Computation of emission coefficients by fuel typeQ5 .

Output weight(1)

Emission factor (tons/GJ)(2)

Indian Calorific value (GJ/ton)(3)

Emission Coefficient (tons of CO2 per ton of fuel)(4)¼ (2)� (3)� 44/12

Coking coal 0.0728 0.0255 16.7472 1.5677Non-coking coal 0.8574 0.0261 16.7472 1.6045Lignite 0.0699 0.0290 16.7472 1.7777Total coal 1.6140Petroleum products 0.0202 41.868 3.1024Natural gas 0.0153 0.038 0.0021

Note: 1) for natural gas, the calorific value and emission coefficient are per cubic metre; 2) emission factors for types of coal are from GOI [5], and for petroleum products andnatural gas from IPCC.

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� What are the direct emissions by sectors?� Which are the major emitting sectors by fuel type?� What are the direct and indirect emissions by final demand?� What are the emissions by different expenditure classes in

rural and urban areas?

The rest of the paper is organised as follows: Section 2 describesthe data and methodology used to estimate the CO2 emissions.Section 3 discusses the results to answer the above questions. Thelast section concludes the paper.

2. Database and methodology for estimating CO2 emissions

An SAM is a matrix representation of all transactions and transferstaking place in an economy in particular year between differentproduction activities, factors of production and institutions such ashouseholds, corporate sector, government and rest of the world.Embedded in the SAM is the IO table, which reports the use of goodsas intermediate inputs in the production process of variouscommodities as well as the final demands. The final uses are typicallydistinguished into six categories (i) Private Final ConsumptionExpenditure (PFCE), (ii) Government Final Consumption Expenditure(GFCE), (iii) Gross Fixed Capital Formation (GFCF), (iv) Change inStocks (CIS), (v) Exports of goods and services (EXP) and (vi) Importsof goods and services (IMP).

The IO system is a well accepted method for analysis of directand indirect input demand for producing output in various sectorsof the economy. Leontief developed the formal analytical structureof the IO system during the course of his study on structure of theeconomy of the United States [9]. Typically, an IO table provides uswith a snapshot of the structure of the inter-sectoral linkages in aneconomy for a given year. The main virtue of the IO framework isthat it tracks the supply (domestic production plus imports) anddemand (intermediate use plus various types of final demands) for

UNCTable 2

Decomposition of emissions of CO2 in India, 2003–04 (MT of CO2).

Coal & lignite Crude petroleum

Emissions in the production process to supporti) Household consumption 358.3 27.8ii) Government consumption 66.2 2.9iii) Investment 282.4 8.4iv) Exports 193.3 9.8v) Less imports 217.5 8.8vi) Total (A) 682.7 40.2

Emissions due to direct demandi) Household consumption 13.7 0.0ii) Government consumption 0.4 0.0iii) Total (B) 14.0 0.0

Total emissions (A)þ (B) 696.7 40.2

Source: computed by authors.Note: emission in the production of clinker is 0.537 tons of CO2 per ton of clinker, which

Please cite this article in press as: Parikh J et al., CO2 emissions structure

DPROOFgoods and services in a consistent manner. Given that the database

refers to one year, the IO coefficients might reflect some abnor-malities, especially if the year happens to be an abnormal one.Internationally, some studies have attempted to assess the errors inIO coefficients [Simonovites [10], Roland-Holst [11], Kop Jansen[12], Dietzenbacher [13], ten Raa [14]]. These studies have made useof other micro (firm or plant) level data to estimate the variousmultipliers and compare them with those implied by IO tables.

Following the seminal ideas in Leontief [15], the IO method hasbeen found to be useful in examining energy–environment–economy interactions, for example by Ayres and Kneese [16], Bul-lard et al. [17], Casler and Wilbur [18], Miller and Blair[19], Lange[20]. This method helps to trace the direct and indirect emissionscaused by consumption and other elements of final demand. Thisway the ultimate source of demand of emission in an economycould be identified. In the Indian context, several authors haveexamined energy–environment issues using the IO analysis [Parikhand Gokarn [1], Singh [21], Mukhopadhyay and Chakraborty [22],Roy and Mukhopadhyay [23], Murthy et al. [2,3].

The analysis in this paper makes use of the SAM/IO table for theyear 2003–04 prepared by Saluja and Yadav [24]. This SAM consistsof 73 production sectors and 10 expenditure classes. For thepurpose of this paper, the 73 sectors are aggregated into 25 broadsectors retaining the major energy producing and energy usingsectors separately.

We might note that the estimates used in this paper are basedon one year’s data that is consistent with the National AccountsStatistics for India which in turn is based on the methods suggestedby the United Nations Systems of National Accounts. We are notaware of any error analysis for Indian IO table. The main difficulty tocarry out such an analysis seems to be the lack of relevant microlevel data. While it would be interesting to assess the errors in theIndian IO tables, it would require a separate study and we haverefrained from it in this paper.

Petroleum products Natural gas Cement industry Total

178.8 56.1 4.4 625.519.7 10.6 3.4 102.964.9 24.8 46.4 426.955.8 18.8 3.3 281.056.3 23.5 1.8 307.9

263.0 86.8 55.7 1128.4

67.9 0.0 0.0 81.56.2 0.4 0.0 6.9

74.0 0.4 0.0 88.5

337.0 87.2 55.7 1216.9

amounts to 0.451 tons of CO2 per ton of cement.

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Table 3Key indicators for major CO2 emitting countries (2005).

Country CO2 emissions (Mt of CO2) Population (million) Per capita CO2 (tons of CO2/population) CO2/GDP (kg CO2/2000$) CO2/GDP (PPP) (kg CO2/2000$ PPP)

USA 5817 297 19.61 0.53 0.53China 5060 1305 3.88 2.68 0.65Russia 1544 143 10.79 4.41 1.12Japan 1214 128 9.50 0.24 0.35India 1147 1095 1.05 1.78 0.34World 27,136 6432 4.22 0.75 0.50

Source: IEA [25].

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2.1. Estimating direct emissions

The above IO framework has been extended to incorporate CO2

emissions by calculating the amount of CO2 emissions that takeplace in the production of the various economic activities. If X¼ (Xi)is a vector of output of various sectors and E¼ (Ei) is a vector ofemission coefficients representing the volume of CO2 emissions perunit of output in different sectors, the quantity EiXi indicates theemission generated by the sector i. This is called the direct emis-sions of sector i. The direct emission coefficients are estimated for2003–04 by examining the fossil fuel used as inputs in theproduction process in each of the 25 sectors [1–3]. The emissioncoefficients by fuel type used in this study are 1.614 and 3.102 tonsof CO2 per ton of coal and petroleum products, respectively, and0.0021 tons of CO2 per cubic metre of natural gas. These coefficientsare arrived by considering emissions by fuel type in tons per GigaJoule (tons/GJ) after adjusting for the calorific values of the fueltypes used in India (see Table 1).

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2.2. Estimating direct and indirect emissions

Productions of various commodities are ultimately gearedtowards meeting final demands, and they generate emissions due

UNCORREC

6Table 4Direct CO2 emissions and output by sectors, 2003–04.

S. No Sectors Total emissions Output

MT Share (%) Rs. lakhs Share (%)

1 Electricity 310.3 27.50 12,950,450 2.692 Manufacturing, nec 202.5 17.95 69,255,585 14.373 Steel 127.1 11.26 13,343,149 2.774 Other transport 121.9 10.81 33,581,833 6.975 Cement industry 102.2 9.05 1,921,936 0.406 Other services 86.2 7.64 160,786,411 33.367 Petroleum products 43.8 3.88 16,735,471 3.478 Fertilizers 35.3 3.12 3,261,853 0.689 Non-metallic minerals 27.1 2.40 3,369,917 0.7010 Agro-processing 25.5 2.26 26,089,772 5.4111 Construction 12.8 1.14 38,832,573 8.0612 Textiles 10.7 0.95 15,372,951 3.1913 Food grains 7.9 0.70 18,875,752 3.9214 Other crops 4.1 0.36 22,367,855 4.6415 Railway transport services 3.4 0.30 4,256,108 0.8816 Coal & lignite 2.6 0.23 3,341,353 0.6917 Fishing 1.6 0.14 3,096,709 0.6418 Mining & quarrying 0.8 0.07 1,470,046 0.3019 Crude petroleum 0.7 0.06 1,626,127 0.3420 Oilseeds 0.7 0.06 5,093,778 1.0621 Forestry 0.6 0.06 2,968,721 0.6222 Natural gas 0.5 0.04 1,536,919 0.3223 Sugarcane 0.2 0.02 2,328,186 0.4824 Animal husbandry 0.1 0.01 18,017,519 3.7425 Water supply & gas 0.1 0.01 1,510,532 0.31

Total emissions 1128.4 100.0 481,991,507 100.0

Source: authors’ estimates.Note: 1) for cement industry, emissions in the clinker production process areincluded here; 2) ‘nec’ denotes ‘not elsewhere classified’.

Please cite this article in press as: Parikh J et al., CO2 emissions structure

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DPROOF

to the direct and indirect use of fossil fuels. As an example, in theproduction of cars direct emissions occur due to the use of fossilfuels in the car-producing sector itself. Indirect emissions in carmanufacturing occur due to the use of inputs such as steel, whoseproduction itself would have generated emissions. The steel sectorin turn uses iron-ore and coal, the production of which involves useof fossil fuel, and so on. The sum total of all such direct and indirectemissions in the production of one unit of final demand ofa commodity j can be estimated as,

X

i

Eibij (1)

where bij is the (i,j)th element of the matrix (I� A)�1 and A is the IOflow matrix (see Annexure for details). Multiplying the direct andindirect emission coefficients of a sector by the corresponding levelof final demand will give the amount of total direct and indirectcarbon emissions by final demand of that sector. The total carbonemissions in the economy are just the sum over all sectoral directand indirect emissions due to final demand.

3. Results

Discussion of the results proceeds as follows: we start withestimates of total emissions in the Indian economy as a whole byfuel types and by demand categories for the year 2003–04. This isfollowed by a discussion of the estimates at the sectoral level. QInSection 3.2 we provide the break-up of the sectoral emission esti-mates by fuel type. Section 3.3 provides the estimates of the directand indirect emissions due to the household consumption pattern,while Section 3.4 discusses the emissions by different expenditureclasses in rural and urban areas.

3.1. Total emissions in the Indian economy

Table 2 shows the CO2 emission levels in India by various fueltypes and demand categories.1 The total carbon dioxide CO2

emission due to economic activities for the year 2003–04 has beenestimated at 1217 million tons (MT) in India. The per capita emis-sions turn out to be about 1.14 tons. Of the total emissions, coal andlignite accounts for 697 MT, i.e. 57.3%. Petroleum products andnatural gas account for another 27.7% and 7.2% of emissions,respectively. Crude oil accounts for 3.3% and clinker for residual4.6% in the cement production process. Turning to demand cate-gories, as much as 1128 MT or 93% of total emissions takes place inthe production process of various goods and services, by way of useof fossil fuels and clinker production in cement industry. Thus,carbon dioxide emission in India predominantly originates in theproduction system, which goes towards meeting both intermediateinput use as well as final demands for various goods and services

1 The total domestic production of coal, petroleum products and natural gas inthe year 2003–04 was 408 MT, 122 MT and 31,962 million cubic metres,respectively.

of Indian economy, Energy (2009), doi:10.1016/j.energy.2009.02.014

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Table 5Direct CO2 emissions from coal and lignite, 2003–04.

S. No Sectors CO2 emission (MT) Share (%)

1 Electricity 274.5 40.22 Manufacturing, nec 148.6 21.83 Steel 120.7 17.74 Cement industry 46.0 6.75 Other services 31.5 4.66 Non-metallic minerals 22.9 3.47 Agro-processing 18.0 2.68 Textiles 8.1 1.29 Fertilizers 7.7 1.110 Coal & lignite 1.8 0.311 All other sectors 2.9 0.4

Source: authors’ estimates.

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except the direct use of fossil fuels by households and government.Emissions due to direct fuel use by households and governmentsaccount for only 6.7% and 0.6% of the total emissions.

To provide a comparative perspective of our estimates of India’semissions, Table 3 provides the estimates for 2005 of the top 5emitting countries in the world [25]. It is seen that our estimatesobtained from detailed sectoral analysis are somewhat higher (about6%) than the economy-level estimates of International Energy Agency(IEA). In fact, our estimates of 1217 MT place India slightly ahead ofJapan. Nevertheless, in per capita terms India’s emissions are waybelow that of the other countries. Carbon intensity of GDP inpurchasing power parity (PPP) terms is also low in India.

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3.2. Direct emission by production sectors

Table 4 shows the direct emissions by the 25 sectors indescending order of emissions. At the top is the electricity sectorwith a share of 28% of total emissions in 2003–04 in India, thoughits share in output is less than 3%. Manufacturing (not elsewhereclassified, nec), steel, other transport and cement appear next inthat order. Other services, which accounts for about 33% of output,comes sixth in terms of CO2 emission with a share of 8%. These sixsectors together account for 84% of total emissions. It may be notedthat some of the sectors such as agro-processing, construction,textiles, food grains, other crops, and animal husbandry, that arelarge in terms of output, are not major direct emitters of CO2.

3.2.1. Emissions due to coal & ligniteA total emission of CO2 due to coal is 683 MT in India. Table 6

reports the top ten CO2 emitting sectors due to use of coal & ligniteas inputs in the production process. A thermal power plant emitsthe maximum amount of CO2 using coal & lignite as fuel forgeneration of electricity. As Table 5 shows 275 MT of CO2 areemitted in generation of electricity by thermal power plantsaccounting for 40% of the total CO2 emissions due to coal. This is

UNTable 6

CO2 emissions from petroleum products, 2003–04.

S. No Sectors CO2 emission (MT) Share (%)

1 Other transport 121.9 46.42 Manufacturing, nec 28.2 10.73 Other services 24.7 9.44 Electricity 21.1 8.05 Fertilizers 14.3 5.46 Construction 11.3 4.37 Food grains 7.8 3.08 Agro-processing 5.9 2.39 Steel 5.5 2.110 Non-metallic minerals 4.2 1.611 All other sectors 18.0 6.8

Source: authors’ estimates.

Please cite this article in press as: Parikh J et al., CO2 emissions structure

ROOF

followed by manufacturing (nec), steel and cement industrieshaving 149, 121 and 46 MT of CO2 emission respectively. The top tensectors contribute 99.6% of the CO2 emissions due to coal.

3.2.2. Emissions due to petroleum productsTotal emissions of CO2 due to petroleum products are 263 MT in

India. Table 6 reports the top ten CO2 emitting sectors due to use ofpetroleum products as inputs in the production process. Notsurprisingly, other transport, which includes motorcars, buses,aviation, and shipping, accounts for nearly half (122 MT) of the CO2

emission due to petroleum products. Manufacturing (nec) sectoremits 28 MT of CO2 followed by other services and electricity atthird and fourth places with 25 and 21 MT of CO2 respectively. Thetop ten sectors together account for 93% of the total CO2 emissionsdue to petroleum products.

3.2.3. Emissions due to natural gasA total emission of CO2 due to natural gas is 87 MT. Just five

sectors (Table 7) account for 98% of these emissions. These are otherservices, manufacturing (nec), electricity, fertilizers and agro-pro-cessing. Starting from a low base, the use of natural gas hasincreased rapidly in recent years, especially in electricitygeneration.

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Production of any good or service involves the use of severalgoods and services as raw materials. Thus, when demand for a goodchanges, its effect is felt not only in the sector that produces thatparticular good, but also in rest of the economy due to productionchain linkage. Direct and indirect emissions’ analysis helps us tounderstand how much of emission takes place in the entireproduction chain of a good or service. Table 8 reports the direct andindirect emission coefficients defined as the emissions caused bythe production vector needed to support final demand in thatsector at unit level and expressed as tons of carbon dioxide per lakhRupees of final demand at 2003–04 prices. Cement and electricityoccupy the first and second highest positions in terms of direct andindirect emissions per unit of final demand followed by steel,fertilizer and non-metallic minerals, respectively.

The total direct and indirect emissions of a sector would dependon not only the direct and indirect emission coefficients of thatsector, but also on the level of sectoral final demand. Taking boththese factors into consideration, Table 9 ranks the sectors accordingto the level of direct and indirect emissions taking place in meetingthe final demand in each sector. When both direct and indirecteffects are considered, the construction sector has the highestcontribution to CO2 emission with a share of about 24% of the total(Table 9). As Table 4 revealed earlier, the direct emission coefficientof construction activity is not high. This is because it does not takemuch of fossil fuel based energy to construct a building or a road.But, construction sector uses a lot of energy-intensive materialssuch as bricks, cement, iron and steel, aluminium, glass, asbestosand so on.

Table 7CO2 emissions from natural gas, 2003–04.

S. No Sectors CO2 emission (MT) Share (%)

1 Other services 30.0 34.52 Manufacturing, nec 25.8 29.73 Electricity 14.7 16.94 Fertilizers 13.3 15.45 Agro-processing 1.6 1.86 All other sectors 1.5 1.8

Source: authors’ estimates.

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EPROOF

Table 8Direct and indirect emission coefficients by fuel type per unit of final demand (tons per Rs. lakh).

S. No Sectors Coal & lignite Crude petroleum Petroleum products Natural gas Cement industry Total

1 Cement industry 27.7 0.1 1.1 0.3 29.0 58.22 Electricity 26.7 0.3 2.5 1.5 0.0 31.03 Steel 15.6 0.1 1.3 0.4 0.0 17.44 Fertilizers 5.5 0.6 5.6 4.8 0.0 16.55 Non-metallic minerals 9.8 0.2 2.0 0.2 0.5 12.76 Manufacturing 7.0 0.1 1.2 0.7 0.0 9.17 Construction 4.6 0.1 1.0 0.2 1.6 7.68 Other transport 2.3 0.5 4.2 0.2 0.0 7.19 Railway transport services 4.9 0.1 1.2 0.3 0.1 6.610 Textiles 3.9 0.1 1.0 0.3 0.0 5.411 Petroleum products 0.9 2.5 0.6 0.1 0.0 4.112 Agro-processing 2.3 0.1 0.9 0.3 0.0 3.713 Coal & lignite 2.6 0.1 0.7 0.2 0.0 3.514 Food grains 1.3 0.1 1.2 0.5 0.0 3.115 Mining & quarrying 1.3 0.1 0.8 0.1 0.0 2.316 Water supply & gas 1.5 0.0 0.3 0.1 0.2 2.317 Other services 1.2 0.0 0.4 0.3 0.0 2.018 Oilseeds 0.7 0.1 0.7 0.4 0.0 1.919 Sugarcane 0.7 0.1 0.5 0.3 0.0 1.620 Other crops 0.6 0.1 0.6 0.3 0.0 1.521 Crude petroleum 0.6 0.1 0.5 0.1 0.0 1.322 Natural gas 0.6 0.1 0.5 0.1 0.0 1.223 Fishing 0.4 0.1 0.7 0.0 0.0 1.224 Forestry 0.3 0.0 0.3 0.0 0.0 0.825 Animal husbandry 0.3 0.0 0.2 0.1 0.0 0.6

Source: authors’ estimates.

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The importance of indirect effects can be noted from the factthat the top five sectors, namely construction, agro-processing,textiles, food grains and non-metallic minerals, account for nearly85% of the total direct and indirect emissions of CO2. However, thedirect emission of these five sectors together was only 7% (Table 4).On the other hand, electricity, which ranked first position by directemission with a share of 28%, occupies only seventh position witha share of 4% when indirect effects are included. Similarly, steel andcement sectors, which held third and fifth positions by directemission appear at the bottom of the table by direct and indirectemissions. Steel and cement are primarily intermediate goods anddirect final demand component is not large. In fact, net final

UNCORRTable 9

Direct and indirect emissions of top ten sectors of the Indian economy.

S. No Sectors CO2 emission (MT) Share (%)

1 Construction 266.3 23.62 Manufacturing 238.9 21.23 Other services 220.5 19.54 Other transport 145.9 12.95 Agro-processing 81.8 7.36 Textiles 55.6 4.97 Electricity 47.4 4.28 Food grains 43.5 3.99 Non-metallic minerals 19.4 1.710 Petroleum products 18.2 1.611 Other crops 17.1 1.512 Railway transport services 9.0 0.813 Animal husbandry 8.0 0.714 Oilseeds 3.4 0.315 Fishing 3.4 0.316 Water supply & gas 2.4 0.217 Forestry 1.5 0.118 Sugarcane 1.0 0.119 Natural gas �0.5 0.020 Coal & lignite �0.8 �0.121 Fertilizers �4.6 �0.422 Mining & quarrying �4.7 �0.423 Crude petroleum �12.1 �1.124 Steel �15.5 �1.425 Cement industry �16.8 �1.5

Source: authors’ estimates.

Please cite this article in press as: Parikh J et al., CO2 emissions structure

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Ddemand for them and a few other sectors in 2003–04 is negativedue to stock drawdown and/or imports. Thus, the negativenumbers in Table 9 imply that emission in the country in 2003–04have been avoided due to emissions generated either in previousyears or in rest of the world.

3.4. Emissions by expenditure class

We now turn to the question possible differential emissioneffects of consumption pattern of different income classes in India.In particular, we enquire the question of quantum of emissiongenerated, directly and indirectly, in producing the consumptionbasket of 10 income classes, 5 rural and 5 urban. Fig. 1 gives thepopulation distribution by various monthly expenditure classes inthe SAM prepared by Saluja and Yadav arranged in ascending orderof household per capita expenditure [24]. In both rural and urbanareas, EC1, EC2, EC3, EC4 and EC5 account for 10%, 20%, 40%, 20%and 10% of the population arranged in increasing order of mean percapita expenditure. Thus, one might view EC1 as abject poor, EC2 aspoor (below poverty line), EC3 as average, EC4 as above average andEC5 as the relatively rich in expenditure distribution.

Fig. 2 gives the distribution across households of direct CO2

emissions due to direct use of fossil fuels in running private cars,cooking and use of kerosene in lighting, etc. As reported in Table 3,total CO2 emissions on this count by all households are 82 MT andaccounts for about 7% of total emissions in the economy. Emissionsdue to direct use of fossil fuels by rural households are low and varybetween 9 and 129 kg per person. In urban areas, the figures varybetween 63 and 683 kg per capita. The substantial difference in theemissions of urban top class EC5 from the rest of the population isprimarily due to use of private motor transport vehicles by thisclass. Since production process accounts for most of the emissions,it is more important to examine direct and indirect emissionstaking place in producing the consumption baskets of the variousexpenditure classes. We turn to this below.

Fig. 3 gives the per capita direct and indirect emissions CO2

arising out of the consumption basket across different expenditureclasses in rural and urban areas. This includes the emissions due to

of Indian economy, Energy (2009), doi:10.1016/j.energy.2009.02.014

TEDPROOF

77.2

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Fig. 1. Distribution of population with expenditure level 2003–04. Note: EC1, EC2, EC3, EC4 and EC5 represent 10%, 20%, 40%, 20% and 10% of the rural/urban population arranged inascending order of per capita monthly expenditure, respectively. Source: SAM 2003–04, Saluja and Yadav [24].

8.510.5 15.9 37.5

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Rural Urban

Fig. 2. Emissions of CO2 due to direct use of fossil fuels by households, 2003–04. Source: authors’ estimates.

J. Parikh et al. / Energy xxx (2009) 1–76

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the direct use of fossil fuels by households, as well as the embodiedemissions in the different items of their consumption basket. Asseen earlier in Table 3, the total emission on account of householdconsumption (direct use of fossil fuels, as well as the embodiedemissions in the consumption basket), is 707 MT. There is widedisparity in total carbon emission generated to produce theconsumption basket between rural and urban households, andbetween various classes within rural and urban areas.

The average consumption pattern of a representative Indianbelonging to the urban top 10% accounts for emission of 4099 kgper year while that of rural bottom 10% class accounts for only

UNC

150.0 215.0 33272.7432.5

0.0300.0600.0900.0

1200.01500.01800.02100.02400.02700.03000.03300.03600.03900.04200.0

EC1 EC2

Expen

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(Kg

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Fig. 3. Direct and embodied emissions of CO2 by e

Please cite this article in press as: Parikh J et al., CO2 emissions structure

150 kg per year. The urban/rural difference in the emission rangesbetween 1.8 times for EC1 and 3 times for EC5. The average percapita direct and indirect emissions for rural and urban areas asa whole is 465 kg and 1160 kg, respectively. Considering populationof 1072 million, per capita emission turns out to 660 kg for 2003–04. Of this, 359 MT (51%) of emissions are by the 72% of Indians livingin rural areas and the balance 348 MT (49%) of emissions are by the28% of Indians living in urban areas. The disparity within urban areasis also more than that within the rural areas. If we use the ratio of percapita emission of top 10% to bottom 10%, it is 15:1 in urban areaswhile it is about 9:1 in rural areas. Lastly, it may be of interest to note

6.5677.8

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diture class

Rural

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xpenditure classes. Source: authors’ estimates.

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UNCORRECT

that consumption basket of top 10% of the population in urban India(2.7% of the total population in India) embodies CO2 emission of4.1 tons per capita per annum. This is about a fifth of the per capitaCO2 emissions generated in the USA and just falls short of the worldaverage of 4.2 tons per capita (Table 3).

4. Conclusion

This paper provides estimates of CO2 emissions for the Indianeconomy by fuel type, sector, final demand and expenditure classes.It uses the latest available SAM for India for the year 2003–04, andthe IO table embedded in the SAM. The SAM has been aggregated to25 sectors covering the entire economy, while keeping the majorenergy producing/energy using sectors separately.

A total emission of the Indian economy in 2003–04 is estimatedto be 1217 MT of CO2. Most of these emissions (57%) arise due to theuse of coal and lignite. Direct emissions by households account forabout 7% only. At a sectoral level, highest direct emissions are inelectricity sector.

Estimates of the direct and indirect emissions of CO2 to meet thefinal demand bring out the importance of indirect emissions in theproduction chain of the economy. While the top five sectors interms of direct (on-site) emissions are electricity, manufacturing(nec), steel, other transport, and cement industry, the top five bydirect and indirect emissions turn out to be construction,manufacturing (nec), other services, other transport and agro-processing.

In terms of life style differences across household expenditureclasses, the urban top 10% accounts for emissions of 4099 kg percapita per year while rural bottom 10% accounts for only 150 kg percapita per year. The CO2 emission embodied in the consumptionbasket of top 10% of the population in urban India is one-fifth of theper capita emission generated in the US.

Uncited reference

[26].

Annexure

The IO matrix captures inter-industry flows of intermediateinputs among the various sectors of the economy. By convention,a column shows all the inputs required from the various sectors inthe production process of a particular activity, while a row showsthe material flows from a particular sector to different sectors. Atechnology coefficient matrix is generated from the input absorp-tion matrix by dividing all elements in the input column by theoutput level of the activity represented by the column. Thus, ifA¼ (aij) is the coefficient matrix, then a typical element aij repre-sents the amount of input i required to produce one unit of output j.In the IO framework, the commodity balance is given by theequation:

Xi ¼X

j

aijXj þ Fi (a)

where

Fi ¼ Ci þ Gi þ Ii þ EXi �Mi

and Xi is the output level of sector i, Fi is the final demand level ofsector i being composed of private consumption (Ci), governmentconsumption (Gi), investment (Ii) and net exports (EXi�Mi) i.e.exports less imports, and aij is the technology coefficient as defined

Please cite this article in press as: Parikh J et al., CO2 emissions structure

above. For analyzing sectoral carbon emission, we have used a 25sector SAM table for the Indian economy prepared for the year2003–04. Using the matrix notation, we may rewrite equation (a) as:

X ¼ AX þ F (b)

or

X ¼ ðI � AÞ�1F (c)

which gives the solution for the output vector X of dimension(25�1), given the final demand vector F (25�1) and the tech-nology matrix A (25� 25). Extensions of this system to estimateCO2 emissions are explained in the text.

DPROOF

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[12] Kop Jansen PSM. Analysis of multipliers in stochastic input–output models.Regional Science and Urban Economics 1994;24(1):55–74.

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[22] Mukhopadyay Kakali, Chakraborty Debesh. India’s energy consumptionchanges during 1973–74 to 1989–90: an input–output approach. Journal ofApplied Input–Output Analysis 1999;5.

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[24] Saluja MR, Yadav Bhupesh. Social accounting matrix for 2003–04. New Delhi:Indian Development Foundation; 2006.

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