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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Grid-connected ground-mounted solar PV presently constitutes 98% of total solar deployment capacity in India.
- 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.
Batlle, C. (2011). A method for allocating renewable energy source subsidies among final energy consumers. Energy Policy 2011, 39, 2586–2595.
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.
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.
Carvalho, M. (2015). Internalisation of green technologies and the realisation of green growth, PhD Thesis submitted. The London School of Economics and Political Science.
Cox, M., Peichl, A., Pestel, N., & Siegloch, S. (2014). Labour demand effects of rising energy prices: Evidence from Germany. Energy Policy, 75, 266–277.
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.
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.
Evaluating the Poverty Impact of Economic Policies. World Bank and Oxford University.
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.
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.
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.
Kammen, D. M., & Pacca, S. (2004). Assessing the costs of electricity. Annual Review of Energy and the Environment 2004, 29, 301–344.
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.
Miller, R. E., & Blair, P. D. (1985). Input output analysis: Foundations and extensions. Eaglewoods Cliffs, N.J.: Prentice Hall.
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.
National Sample Survey Organisation (NSSO) 68th round. (2011). Household consumption and expenditure data. Government of India.
National Sample Survey Organisation (NSSO) 68th round. (2011). Government of India.
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.
Pal, B., Pohit, S., & Roy, J. (2012). Social accounting matrix for India. Economic Systems Research, 24(1), 77–99.
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.
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.
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.
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.
Sahoo, A., & Shrimali, G. (2013). The effectiveness of domestic content criteria in India’s solar mission. Energy Policy, 62, 1470–1480.
Shrimali, G., & Sahoo, A. (2014). Has India’s solar mission increased the deployment of domestically produced solar modules? Energy policy, 69, 501–509.
Tomsik, V., & Kubicek, J. (2006). Can local content requirements in international investment agreements be justified? NCCR Trade Regulation Working Paper, No.20.
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.
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.
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.
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
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 |
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:
- 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
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
The employment change in the economy due to given change in final demand of sector j is estimated as
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
The total household income change in the regional economy due to given change in final demand of sector j is estimated as
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:
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
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
.
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 |
.
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-981-13-1507-7_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1506-0
Online ISBN: 978-981-13-1507-7
eBook Packages: Economics and FinanceEconomics and Finance (R0)