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Rajeswari, T.
- State Domestic Product-Conceptual Framework and Methodology
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1 Shram Shakti Bhavan, Rafi Marg, NewDelhi - 110001, IN
1 Shram Shakti Bhavan, Rafi Marg, NewDelhi - 110001, IN
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Journal of Indian School of Political Economy, Vol 30, No 3-4 (2018), Pagination: 403-411Abstract
Regional accounts are of special importance when there are disparities in economic development of the various regions of a country. Regional accounts are based on transactions of units that are resident in a regional territory. For calculation of macroeconomic indicators at the regional level, sufficient data are not available for institutional units (legal entities), which are normally used in the compilation of national accounts. Therefore, estimates at the regional level are compiled using limited information. Generally, data is available only at the enterprise level. Therefore, data for multiregional enterprises have to be allocated to regions according to economic indicators such as labour input, compensation of employees or other data that have some relationship with the value added of these establishments. This paper presents the conceptual frame work and methodology used by CSO for compilation of GDSP.
References
- Bureau of Economic Analysis (year?), U.S. Department of Commerce, Gross domestic product by State Estimation Methodology,
- Central Statistical Organisation, 2012; National Accounts Statistics: Sources and Methods
- Eurostat, 1995; Regional accounts methods - Gross value added and Gross Fixed capital formation by activity.
- Eurostat, 2013; Manual on regional accounts methods.
- Francois Lequiller and Derek Blades, Organisation for Economic Cooperation and Development, 2006; Understanding National Accounts
- Systemof National Accounts,2008; Commission of European Communities, International Monetary Fund, Organisation for Economic Cooperation and Development, United Nations and World Bank.
- Comments/Clarifications on the Issues Raised in the Ravindra Dholakia and Manish Pandya’s Paper
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Authors
Affiliations
1 Central Statistics Office, IN
1 Central Statistics Office, IN
Source
Journal of Indian School of Political Economy, Vol 30, No 3-4 (2018), Pagination: 435-437Abstract
(a) Aggregation of some services categories.
(b) Increased use of allocation at the State level.
(c) Issues raised regarding estimation of GVA from sectors like Road Transport, Financial services and agriculture sector etc.,
(d) Structural Changes - Case of education and Trade sector.
(e) Issues of Data bases not capturing the whole sector- mining sector.
(f) Limitations of MCA data set.
(g) Limitations of effective labour Input.
(h) Regrouping of Sectors.