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Mapping Meso-Economic Impacts of Grid-Connected Solar PV Deployments in India: A Social Accounting Matrix Approach

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Applications of the Input-Output Framework

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Abstract

This chapter provides critical insights on developmental impacts of renewable energy scale-up for Indian economy by constructing a social accounting matrix (SAM). Taking a techno-economic perspective, impacts of grid-connected solar deployment as new production activity are estimated for two-established categories (DCR and Open) of solar deployment. This involved construction of independent solar IO blocks integration as a new sector in 35 × 35 national input–output table (2011) obtained from world input–output databases (WIOD). Wage incomes associated with installation of a unit of grid-connected ground-mounted photovoltaic solar power capacity in India is estimated in terms of skill-based labor compensation generation. The study compiles data from NSSO 68th round data (2011) on household consumption expenditure, employment and unemployment indicators and status of education and vocational training to create consumption and income distribution profile of the nine household categories. The analysis reveals greater wage generation for urban households associated with solar deployment and also highlights the fact that projects using domestically manufactured solar panels provide comparatively wider distribution of wages across the household categories and with better penetration in lower deciles of per capita expenditure indicative of superior developmental impacts.

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Notes

  1. 1.

    Grid-connected ground-mounted solar PV presently constitutes 98% of total solar deployment capacity in India.

  2. 2.

    National Solar Mission (2010) phase I provided differentiated incentives for solar deployment projects using domestically manufactured (DCR projects) solar panels from those using imported (open projects) C–Si solar panels.

References

  • Allan, G. J., McGregor, P. G., & Swales, J. K. (2011). The importance of revenue sharing for the local economic impacts of a renewable energy project: A social accounting matrix approach. Regional Studies, 45(9), 1171–1186.

    Article  Google Scholar 

  • Batlle, C. (2011). A method for allocating renewable energy source subsidies among final energy consumers. Energy Policy 2011, 39, 2586–2595.

    Article  Google Scholar 

  • Cai, W., Wang, C., Chen, J., & Wang, S. (2011). Green economy and green jobs: Myth or reality? The case of China’s power generation sector. Energy, 36(10), 5994–6003.

    Article  Google Scholar 

  • Cameron, L., & Van Der Zwaan, B. (2015). Employment factors for wind and solar energy technologies: A literature review. Renewable and Sustainable Energy Reviews, 45, 160–172.

    Article  Google Scholar 

  • Carvalho, M. (2015). Internalisation of green technologies and the realisation of green growth, PhD Thesis submitted. The London School of Economics and Political Science.

    Google Scholar 

  • Cox, M., Peichl, A., Pestel, N., & Siegloch, S. (2014). Labour demand effects of rising energy prices: Evidence from Germany. Energy Policy, 75, 266–277.

    Article  Google Scholar 

  • Del Rio, P., & Burguillo, M. (2008), Assessing the impact of renewable energy deployment on local sustainability: Towards a theoretical framework. Renewable and Sustainable Energy Reviews, 12, 1325–1344.

    Article  Google Scholar 

  • Del Rio, P., & Burguillo, M. (2009). An empirical analysis of the impacts of renewable energy deployment on local economy. Renewable and Sustainable Energy Reviews, 13, 1314–1325.

    Article  Google Scholar 

  • Evaluating the Poverty Impact of Economic Policies. World Bank and Oxford University.

    Google Scholar 

  • Farrel, R., & C. Findlay. (2001). Japan and the ASEAN4 automotive industry: Developments and inter relationships in the regional automotive industry. Australia–Japan Research Centre Working Paper 2001–24, Asia Pacific School of Economics and Management, Australian National University.

    Google Scholar 

  • Government of India. (2010). Mission Document Jawahar Lal Nehru National Solar Mission. http://mnes.nic.in/pdf/mission-document-JNNSM.pdf. Accessed December 12, 2014.

  • Hallegatte, S., Heal, G., Fay, M., & Treguer, D. (2011). From Growth to Green Growth: A Framework (No. 5872) (pp. 1–39). Washington D.C. Retrieved from https://elibrary.worldbank.org/doi/pdf/10.1596/1813-9450-5872.

  • India Energy Portal. (2010). http://www.indiaenergyportal.org/subthemes.php?text=solar.

  • Jain, M., & Patwardhan, A. (2013). Employment outcome of renewable energy D, implications of policies in India. Economic and Political Weekly Vol XLVIII, 7, 84–89.

    Google Scholar 

  • Joshi, S., & Sharma, P. (2014). Browning the green agenda: Understanding Indian solar policy through local sustainability perspective. Journal of Studies in Dynamics and Change, 1(2), 76–79.

    Google Scholar 

  • Kammen, D. M., & Pacca, S. (2004). Assessing the costs of electricity. Annual Review of Energy and the Environment 2004, 29, 301–344.

    Article  Google Scholar 

  • Kuntze, J-C., Moerenhout, T. (2013). Local content requirements and the renewable energy industry: A good match? ICSTD Working Paper. http://ictsd.org/downloads/2013/06/local-content-requirements-and-the-renewable-energy-industry-a-good-match.pdf.

  • Lewis, J., & Wiser, R. (2005). Fostering a renewable energy technology industry: An international comparison of wind industry policy support mechanisms. Energy Policy, 35(3), March 2007, 1844–1857.

    Google Scholar 

  • Miller, R. E., & Blair, P. D. (1985). Input output analysis: Foundations and extensions. Eaglewoods Cliffs, N.J.: Prentice Hall.

    Google Scholar 

  • Ministry of New and Renewable Energy. (2010). Jawaharlal Nehru National Solar Mission (JNNSM): Towards building solar India. Ministry of New and Renewable Energy, MNRE, MPRA Paper No. 13517, posted 20. February 2009.

    Google Scholar 

  • National Sample Survey Organisation (NSSO) 68th round. (2011). Household consumption and expenditure data. Government of India.

    Google Scholar 

  • National Sample Survey Organisation (NSSO) 68th round. (2011). Government of India.

    Google Scholar 

  • Niti Aayog Report. (2015). Report on India’s renewable electricity roadmap 2030: Towards accelerated renewable electricity deployment. http://niti.gov.in/writereaddata/files/document_publication/RE_Roadmap_ExecutiveSummary.pdf.

  • Pack, H., Saggi, K. (2006). Is there a case for Industrial Policy? A critical survey. World Bank Res. Obs. 21, 267–297.

    Article  Google Scholar 

  • Pal, B., Pohit, S., & Roy, J. (2012). Social accounting matrix for India. Economic Systems Research, 24(1), 77–99.

    Article  Google Scholar 

  • Reddy, V., Uitto, J., Frans, D., & Matin, N. (2006). Achieving global environmental benefits through local development of clean energy: The case of small hilly hydel in India. Energy Policy, 34(18), 4069–4080.

    Article  Google Scholar 

  • Renewables 2016 Global Status Report. http://www.ren21.net/wp-content/uploads/2015/07/GSR2015_KeyFindings_lowres.pdf.

  • Rivers, N. (2013). Renewable energy and Unemployment: A general equilibrium analysis. Resource and Energy Economics, 35(4), 467–485.

    Article  Google Scholar 

  • Round, J. (2003). Social accounting matrices and SAM-based multiplier analysis. In 14 in F. Bourguignon, L. A. Pereira da Silva (Eds.), Techniques and tools for social accounting matrices and SAM-based multiplier analysis.

    Google Scholar 

  • Round, J. I. (1981). Income distribution within a social accounting matrix: A review of some experience in Malaysia and other L.D.C.’s. Development Economics Research Centre-University of Warwick, Discussion Paper No. 3, March.

    Google Scholar 

  • Sahoo, A., & Shrimali, G. (2013). The effectiveness of domestic content criteria in India’s solar mission. Energy Policy, 62, 1470–1480.

    Article  Google Scholar 

  • Shrimali, G., & Sahoo, A. (2014). Has India’s solar mission increased the deployment of domestically produced solar modules? Energy policy, 69, 501–509.

    Article  Google Scholar 

  • Tomsik, V., & Kubicek, J. (2006). Can local content requirements in international investment agreements be justified? NCCR Trade Regulation Working Paper, No.20.

    Google Scholar 

  • Thorbecke, E. (2000). The use of social accounting matrix in modeling lecture 7A, construction and use of social accounting matrix 4. https://thorbecke.economics.cornell.edu/docs/SAM.pdf.

  • US, Department of Energy. (1992). Economic impact of a photovoltaic module manufacturing facility. US DOE: Report.

    Google Scholar 

  • Veloso, F. (2001). Local content requirement and industrial development: Economic analysis and cost modelling of the automotive supply chain. Ph.D. dissertation submitted to Massachusetts Institute of Technology.

    Google Scholar 

  • World Input Output Database, National Input Output Tables. http://www.wiod.org/new_site/database/niots.htm. Accessed Jan 23, 2016.

  • World Input Output Database, Socio Economic Accounts. http://www.wiod.org/new_site/database/seas.htm. Accessed Jan 23, 2016.

Download references

Acknowledgements

We sincerely thank the Indian Institute of Technology Indore, for providing the academic support and financial resources for this research work. The authors also acknowledge and sincerely thank Prof. Kakali Mukhopadhyay (McGill University, Canada, and Gokhale Institute of Politics and Economics, Pune, India) for her continuous guidance and support in finalizing this work.

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Correspondence to Surabhi Joshi .

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Appendices

Appendix 1: Solar Block for DCR Projects

Products at purchasers’ price

Intermediate Industries

Solar sector (36)

Basic and fab metal (12)

Paper (7)

Other non-metals (C11)

Chemicals (C9)

Maintenance (19)

Electricity (17)

Construction (18)

Electrical and optical equipment’s (14)

Financial intermediation (28)

Water travel (24)

Surface travel (23)

Total economy

Gross capital formation

Total industry output at base price

Solar silicon wafers (imported)

193.43

0

0

0

0

0

0

0

0

0

0

0

193.43

0

193.43

Back sheet, ribbon, frame, screen metal paste

0

103.79

0

0

0

0

0

0

0

0

0

0

103.79

0

103.79

Hot galvanized steel frames

0

21.9

0

0

0

0

0

0

0

0

0

0

21.9

0

21.9

Packaging

0

0

4.84

0

0

0

0

0

0

0

0

0

4.84

0

4.84

Glass

0

0

0

24.18

0

0

0

0

0

0

0

0

24.18

0

24.18

Chemicals

0

0

0

0

14.5

0

0

0

0

0

0

0

14.5

0

14.5

Maintenance

0

0

0

0

0

29.01

0

0

0

0

0

0

29.01

0

29.01

Electricity

0

0

0

0

0

0

14.5

0

0

0

0

0

14.5

0

14.5

Ground leveling and civil work

0

0

0

0

0

0

0

27.56

0

0

0

1.1

28.66

0

28.66

Wires and transmission, switches charge controller infrastructure

0

0

0

0

0

0

0

0

33.64

0

0

0

33.64

0

33.64

Invertors

0

0

0

0

0

0

0

0

26.5

0

0.55

0.34

26.84

0

26.84

Insurance

0

0

0

0

0

0

0

0

0

1.72

0

0

1.72

0

1.72

Contingency

0

0

0

0

0

0

0

0

0

5.16

0

0

5.16

0

5.16

Interest during construction

0

0

0

0

0

0

0

0

0

17.2

0

0

17.2

0

17.2

Project management

0

0

0

0

0

0

0

0

0

3.44

0

0

3.44

0

3.44

Financial cost

0

0

0

0

0

0

0

0

0

3.44

0

0

3.44

0

3.44

Pre-operative cost

0

0

0

0

0

0

0

0

0

3.44

0

0

3.44

0

3.44

Water transport

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Land transport

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Land cost

0

0

0

0

0

0

0

0

0

0

0

0

0

10.32

10.32

VAT

0

2.28

0.106

0.531

0.319

0

0

0

0

0

0

0

3.232

0

3.236

Net custom duty

0*

0

0

0

0

0

0

0

0.76

0

0

0

0.76

0

0.76

Subsidy

0

0

0

0

0

0

0

0

(−1.20)

0

0

0

−1.2

0

−1.2

Total output at base price

193.43

127.97

4.95

24.71

14.82

29.01

14.5

27.56

59.7

34.4

0.55

1.44

533.04

0

542.81

  1. Net custom duty 5.5% and subsidy on panel import 4.2%, VAT@ 2.2% All values adjusted to Million USD (2011) exchange rate 46.42 (WIOD database), custom duty is wavered for solar grade semiconductors

Appendix 2: Solar Block for Open Category Projects

Products at purchaser’s price

Solar sector (36)

Basic and Fab Metal (12)

Construction (18)

Electrical and optical equipment’s (14)

Financial intermediation (28)

Water travel (24)

Surface travel (23)

Total economy

Gross capital formation

Total industry output at base price

Solar panel (imported)

189.27

0

0

0

0

18.91

1.79

0

0

209.97

Hot galvanized steel frames

0

21.94

0

0

0

0

0

0

0

21.94

Ground levelling and civil work

0

0

27.56

0

0

0

1.10

0

0

28.66

Wires and transmission, switches charge controller infrastructure

0

0

0

33.64

0

0

0

0

0

33.64

Inverters

0

0

0

26.50

0

0.55

0.34

0

0

27.39

Insurance

0

0

0

0

1.72

0

0

0

0

1.72

Contingency

0

0

0

0

5.16

0

0

0

0

5.16

Interest during construction

0

0

0

0

17.20

0

0

0

0

17.20

Project management

0

0

0

0

3.44

0

0

0

0

3.44

Financing cost

0

0

0

0

3.44

0

0

0

0

3.44

Preoperative cost

0

0

0

0

3.44

0

0

0

0

3.44

Water transport

0

0

0

0

0

0

0

0

0

0

Land transport

0

 

0

0

0

0

0

0

0

0

Land cost

0

0

0

0

0

0

0

0

10.32

10.32

VAT

0

0.504

0

0.76

0

1.264

Nat custom duty

11.37

0

0

1.58

0

12.95

Net subsidy (−)

(−)9.27

0

0

−1.20

0

−10.47

Total output at base price

191.37

22.444

27.56

61.28

34.4

19.46

3.23

359.744

10.32

370.064

Appendix 3

Impacts of DCR and open category deployments are estimated in terms of total GDP output, household income, employment, and distributive efficiencies of income generation. Research models introduction of a new sector (solar PV) in Indian economy. The IO analysis maps relationship between expenditure generated during project deployment and its impacts on 35 + 1 sector Indian economy. The results are estimated in terms of either increased demand in the economy or total change in output of regional economy due to a final demand of the new sector j estimated using the equation:

$$\Delta X = {\text{OM}}_{j} \times \Delta {\text{FD}}_{j}$$
X :

total output of the regional economy,

OM:

output multiplier

FD:

final demand

The relationship between expenditure generated by a certain project \(\Delta {\text{FD}}\) and its impacts in the economy in terms of increased demand of good and services \((\Delta X)\) is depicted in following relation

$$\Delta X = \left( {I - A} \right)^{ - 1} \Delta D$$

where I is the identity matrix, A is the matrix of technical coefficients (which reflects the percentage of production from each sector consumed by each of all productive sectors) and \(\left( {I{-}A} \right)\) is Leontief inverse that represents the total (direct and indirect) requirements per unit of final demand.

Therefore change in output of total economy (35 sectors, WIOD National Input–Output table for India) where demand of n sectors change can be estimated as

$$\Delta X_{{\left( {1 \times 1} \right)}} = n_{{\left( {1 \times 35} \right)}} \times \left( {{\text{OM}}_{{\left( {35 \times 1} \right)}} \times {\text{FD}}_{{\left( {35 \times 1} \right)}} } \right)$$

The employment change in the economy due to given change in final demand of sector j is estimated as

$$\Delta E = {\text{TDIE}} \times \Delta {\text{FD}}_{j}$$

where E is the sectoral employment and TDIE is employment total direct and indirect employment coefficient or simple employment multiplier of sector j. The total change in the employment of the economy in case where final demand of n sectors changes is estimated by

$$\Delta E_{{\left( {1 \times 1} \right)}} = n_{{\left( {1 \times 35} \right)}} \times \left( {{\text{TDIE}}_{{\left( {35 \times 1} \right)}} \times {\text{FD}}_{{\left( {35 \times 1} \right)}} } \right)$$

The total household income change in the regional economy due to given change in final demand of sector j is estimated as

$$\Delta I = {\text{TDII}} \times \Delta {\text{FD}}_{j}$$

where I is household income and TDII is household direct and indirect income coefficient or income multiplier of sector. The total change in household income in the case where final demand of n sector changes is estimated by:

$$\Delta I_{{\left( {1 \times 1} \right)}} = n_{{\left( {1 \times 35} \right)}} \times \left( {{\text{TDII}}_{{\left( {35 \times 1} \right)}} \times {\text{FD}}_{{\left( {35 \times 1} \right)}} } \right)$$

The distributive efficiencies of employment generation between high, medium and low-income jobs were estimated using year-wise socioeconomic accounts data made available by WIOD satellite accounts. The database provides sector-wise low-, high-, and medium-skilled labor share in the total income generated. The estimations involve

$$\Delta I = \Delta {\text{HSL}} + \Delta {\text{IMSL}} + \Delta {\text{ILSL }}$$

Total income generated can be classified into high-skilled income, medium-skilled income, and low-skilled income generation. The distributive efficiency of income generation when final demand change of all the n sectors in the economy are considered

$$\Delta {\text{IHSL}}_{{\left( {1 \times 1} \right)}} = n_{{\left( {1 \times 35} \right)}} \times \left( {{\text{TDIHSL}}_{{\left( {35 \times 1} \right)}} \times {\text{FD}}_{{\left( {35 \times 1} \right)}} } \right)$$
$$\Delta {\text{IMSL}}_{{\left( {1 \times 1} \right)}} = n_{{\left( {1 \times 35} \right)}} \times \left( {{\text{TDIMSL}}_{{\left( {35 \times 1} \right)}} \times {\text{FD}}_{{\left( {35 \times 1} \right)}} } \right)$$
$$\Delta {\text{ILSL}}_{{\left( {1 \times 1} \right)}} = n_{{\left( {1 \times 35} \right)}} \times \left( {{\text{TDILSL}}_{{\left( {35 \times 1} \right)}} \times {\text{FD}}_{{\left( {35 \times 1} \right)}} } \right)$$

.

Appendix 4: Estimated Multipliers for DCR Projects

 

Sector

Rank

Gross output

Rank

GDP multiplier

Rank

Income multiplier

Rank

Consumption multiplier

1

Agriculture, hunting, forestry, and fishing

2

3.416

1

1.271

2

0.655

1

4.215

2

Mining and quarrying

32

1.236

29

0.116

30

0.050

13

1.339

3

Food, beverages, and tobacco

14

2.205

24

0.187

22

0.076

9

1.676

4

Textiles and textile products

24

1.807

20

0.219

20

0.114

11

1.475

5

Leather, leather, and footwear

33

1.137

35

0.034

34

0.020

31

0.112

6

Wood and products of wood and cork

15

2.069

15

0.384

12

0.238

30

0.132

7

Pulp, paper, paper, printing, and publishing

16

2.067

22

0.194

19

0.126

27

0.369

8

Coke, refined petroleum, and nuclear fuel

18

2.016

32

0.075

35

0.018

7

1.904

9

Chemicals and chemical products

27

1.729

23

0.189

28

0.053

15

1.070

10

Rubber and plastics

30

1.436

31

0.081

32

0.036

26

0.384

11

Other non-metallic mineral

20

1.921

18

0.248

18

0.126

23

0.529

12

Basic metals and fabricated metal

12

2.384

21

0.204

23

0.076

4

2.533

13

Machinery, nec

29

1.503

27

0.125

27

0.054

20

0.747

14

Electrical and optical equipment

25

1.806

26

0.156

24

0.067

22

0.653

15

Transport equipment

19

1.957

25

0.185

26

0.059

18

0.898

16

Manufacturing, nec, recycling

28

1.697

28

0.119

29

0.052

12

1.469

17

Electricity, gas, and water supply

23

1.843

19

0.229

21

0.114

19

0.856

18

Construction

4

2.820

10

0.602

8

0.327

2

3.048

19

Sale, maintenance and repair of motor vehicles and motorcycles, retail sale of fuel

35

1.072

34

0.040

33

0.025

29

0.157

20

Wholesale trade and commission trade, except of motor vehicles and motorcycles

5

2.698

3

0.940

5

0.440

10

1.536

21

Retail trade, except of motor vehicles and motorcycles; repair of household goods

3

3.170

2

1.251

1

0.661

5

2.445

22

Hotels and restaurants

31

1.422

30

0.107

25

0.066

17

0.969

23

Inland transport

10

2.465

14

0.429

14

0.193

3

3.028

24

Water transport

36

1.036

36

0.016

36

0.007

33

0.066

25

Air transport

17

2.030

16

0.365

16

0.166

32

0.072

26

Other supporting and auxiliary transport activities; activities of travel agencies

9

2.508

9

0.604

10

0.275

28

0.225

27

Post and telecommunications

7

2.635

6

0.798

7

0.385

24

0.469

28

Financial intermediation

6

2.661

5

0.851

6

0.403

8

1.792

29

Real estate activities

22

1.851

13

0.479

17

0.158

6

2.190

30

Renting of M&Eq and other business activities

13

2.330

8

0.671

11

0.257

14

1.238

31

Public admin and defense; compulsory social security

8

2.542

4

0.932

3

0.483

36

0.001

32

Education

21

1.893

12

0.501

9

0.291

16

1.001

33

Health and social work

26

1.761

17

0.358

15

0.186

21

0.673

34

Other community, social and personal services

11

2.439

7

0.795

4

0.451

25

0.425

35

Private households with employed persons

34

1.132

33

0.069

31

0.039

34

0.034

36

Solar PV deployment

1

5.541

11

0.537

13

0.206

35

0.005

Appendix 5: Estimated Multipliers for Open Category Projects

 

Sector

Rank

Gross output

Rank

GDP multiplier

Rank

Income multiplier

Rank

Consumption multiplier

1

Agriculture, hunting, forestry and fishing

10

2.272

9

0.559

18

0.089

1

3.736

2

Mining and quarrying

33

1.222

31

0.100

30

0.035

13

1.160

3

Food, beverages and tobacco

8

2.400

19

0.270

14

0.136

10

1.462

4

Textiles and textile products

27

1.609

32

0.096

34

0.016

9

1.602

5

Leather, leather, and footwear

34

1.200

34

0.062

27

0.041

30

0.119

6

Wood and products of wood and cork

18

2.091

13

0.346

11

0.198

31

0.113

7

Pulp, paper, paper, printing, and publishing

22

1.904

33

0.087

28

0.039

26

0.346

8

Coke, refined petroleum, and nuclear fuel

17

2.097

29

0.114

24

0.047

7

1.663

9

Chemicals and chemical products

26

1.691

25

0.159

32

0.028

15

1.006

10

Rubber and plastics

30

1.528

28

0.121

20

0.064

27

0.344

11

Other non-metallic mineral

13

2.141

14

0.335

12

0.185

24

0.416

12

Basic metals and fabricated metal

9

2.376

22

0.185

21

0.058

5

2.090

13

machinery, nec

31

1.474

30

0.100

31

0.033

20

0.645

14

Electrical and optical equipment

25

1.797

27

0.140

23

0.052

22

0.580

15

Transport equipment

21

1.971

23

0.181

22

0.054

18

0.764

16

Manufacturing, nec; recycling

24

1.817

24

0.170

19

0.088

12

1.288

17

Electricity, gas and water supply

5

3.757

4

1.195

3

0.838

19

0.735

18

Construction

12

2.235

20

0.239

29

0.039

3

2.383

19

Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of fuel

32

1.300

26

0.152

16

0.108

29

0.130

20

Wholesale trade and commission trade, except of motor vehicles and motorcycles

2

5.298

1

2.191

1

1.362

11

1.379

21

Retail trade, except of motor vehicles s

20

2.021

11

0.536

17

0.092

4

2.196

22

Hotels and restaurants

23

1.848

15

0.310

9

0.215

17

0.910

23

Inland transport

16

2.120

21

0.215

33

0.023

2

2.492

24

Water transport

36

1.036

36

0.014

36

0.006

34

0.066

25

Air transport

6

2.927

6

0.790

5

0.478

33

0.067

26

Other supporting and auxiliary transport activities; activities of travel agencies

4

4.000

3

1.310

4

0.793

28

0.208

27

Post and telecommunications

3

4.696

2

1.793

2

1.119

23

0.422

28

Financial intermediation

11

2.270

8

0.578

13

0.180

8

1.609

29

Real estate activities

19

2.063

10

0.558

10

0.211

6

2.082

30

Renting of M&Eq and other business activities

7

2.898

5

0.925

6

0.440

14

1.137

31

Public admin and defense; compulsory social security

14

2.132

7

0.633

8

0.235

36

0.001

32

Education

29

1.572

16

0.284

15

0.115

16

0.951

33

Health and social work

15

2.126

12

0.516

7

0.297

21

0.639

34

Other community, social and personal services

28

1.601

17

0.280

26

0.042

25

0.392

35

Private households with employed persons

 

1.066

35

0.028

35

0.006

35

0.031

36

Solar PV deployment

1

5.789

18

0.274

25

0.042

32

0.091

.

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Joshi, S., Sharma, P. (2018). Mapping Meso-Economic Impacts of Grid-Connected Solar PV Deployments in India: A Social Accounting Matrix Approach. In: Mukhopadhyay, K. (eds) Applications of the Input-Output Framework. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1507-7_8

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