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Punia, Meenu
- Comparative Study of Gross Value Added by Different Sectors of Indian Economy
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Authors
Affiliations
1 Department of Agriculture Economics CCSHAU, Hisar, Haryana, IN
2 Extension Lecturer Government College, Haryana, IN
3 HSB, GJUS&T, Hisar, Haryana, IN
1 Department of Agriculture Economics CCSHAU, Hisar, Haryana, IN
2 Extension Lecturer Government College, Haryana, IN
3 HSB, GJUS&T, Hisar, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 8, No 2 (2018), Pagination: 242-248Abstract
Current study was based on the secondary data in order to compare the gross value addition by different sectors of the Indian economy namely; Agriculture, Forestry and Fishing, Industry, Mining and Quarrying, Manufacturing, Electricity, Gas, Water Supply and Other Utility, Services, Construction, Hotels, transport, communication and services related to broadcasting, Financial, Real Estate and Professional Services, and Public Administration, Defence and Other Services. Researcher also aims to measure the trend or growth of the gross value addition of these sectors during the year 2011- 18. Data has been taken from the annual publication of the RBI related to the Indian economy for the above mentioned period. Trend or growth in the share of different sectors to the total gross value added of Indian economy, has been shown using graphs while the comparative study of Gross value addition by different sectors of Indian economy has been done using descriptive statistics and the One-way ANOVA test. Further, researcher has done post-hoc analysis using Turkey's test to highlight the particular groups of variables where the mean values were found to be significantly different if any. Welch test has been used to measure the equality of means. It was found that overall there is a growth in the gross value addition of the Indian economy during the year 2011-12 to 2017-18. All the sectors are showing growth in their share in the gross value addition of Indian economy, except for construction, Agriculture, Forestry and Fishing and Electricity, Gas, Water Supply and Other Utility sector. While, in Mining and Quarrying sector have shown consistency in the gross value addition during the period 2011-12 to 2017-18. The highest percentage of gross value addition was found to be of Services sector and lowest percentage of Gross value addition was found of Electricity, Gas, and Water Supply and Other Utility sector. This shows that service sectors are contributing highly towards the gross value addition of the Indian economy while Electricity, Gas, Water Supply and Other Utility sector is contributing lowest to the gross value addition of Indian economy. Further, the study showed the significant difference in the gross value addition of different sectors of Indian economy.Keywords
Indian Economy, Gross Value Addition, Industrial Sector, Service Sector, Trend or Growth Analysis.References
- Byett et al. (2015). Assessing new approaches to estimating the economic impact of transport interventions using the gross value added approach. NZ Transport Agency Research Report 566, pp. 1-131.
- Business Intelligence Statistical Bulletin (2018). Gross Value Added (GVA) at 2016. Strategic Business Development andIntelligence, Research andEvaluation, pp. 1-24.
- Cehla et al. (2016). Factors influencing the gross value added in the sheep production Chain. Applied Studies in Agribusiness and Commerce, pp. 141-146.
- Dev (2017). Recent changes in measurement of India's GDP: Overall issues and some focus on agriculture. Indira Gandhi Institute of Development Research, pp. 1 -47.
- Goldar, B., & Arup, M. (2013). Small versus large manufacturing units: How efficient are they? JournalofAsia Pacific Economy, 75(4), 634-653.
- Grater (2014). Comparative advantage of value-added services: The case of South Africa. Managing Global Transitions, 12(3), 279-295.
- Golder et al. (2016). Productivity growth and levels: A comparison of formal and informal manufacturing in India. The Fourth World KLEMS Conference, BBVA Foundation, Spain, May, pp. 1-42.
- Jain et al. (2015). Factors affecting GDP (Manufacturing, Services, Industry): An Indian Perspective. Annual Research Journal of Symbiosis Centre for Management Studies, 5,38-56.
- Kapoor, R. (2014). Creating Jobs in India's organised manufacturing sector. Indian Council for Research on International Economic Relations. CRIER, September, pp. 1-34.
- Lehmann, R., & Klaus, W. (2013). Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones? Leibniz Institute for Economic Research, University ofMunich, December 2013, September 2014, pp. 1-22.
- Marcu et al. (2014). GDP correlation analysis with structural elements of added value. 2nd-International Conference-'Economic Scientific Research- Theoretical. Empirical and Practical Approaches, pp. 1-5.
- Nagaraj, R., & Srinivasan, T. N. (2016). Measuring India's GDP growth: Unpacking the analysis and data issues behind a controversy that refuses to go away. National Council of Applied Economic Research, Indian Policy Forum, July, pp. 1-44.
- Schildbach (2007). Gross value-added in the financial sector. Deutsche Bank Research, pp.1-2.
- Singh, S., & Mehala, V (2016). Agriculture development level disparities in Indian states. InternationalJournal ofAgriculture Sciences, 5(62), 3533-3535.
- Volek, T., & Martina, N. (2015). Gross value added and total factor productivity in czech sectors. Contemporary Economics, 9(l),17-28.
- Wieland, E., & IIja, K.K. (2016). Estimating gross value added volumes and prices by institutional sector. European Central Bank, 14,1-33.
- Measuring the Impact of Changes in Financial Assets and Financial Liabilities on the Household Sector Savings
Abstract Views :230 |
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Authors
Affiliations
1 Department of Agrieultnre Eeonomies CeSHAU, Hisar, Haryana, IN
2 Government College, Haryana, IN
3 Department of Agrieultnre Eeonomies, CeSHAU, Hisar, Haryana, IN
4 HSB, GJUS&T, Hisar, Haryana, IN
1 Department of Agrieultnre Eeonomies CeSHAU, Hisar, Haryana, IN
2 Government College, Haryana, IN
3 Department of Agrieultnre Eeonomies, CeSHAU, Hisar, Haryana, IN
4 HSB, GJUS&T, Hisar, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 9, No 5 (2018), Pagination: 781-785Abstract
Current studyaims to determine the current situtation of financial assets and liabilities of household sector in India. Researchers have also measured the relationship between household sector savings and the changes in financial assets or financial liabilities of the household sector. Study was based on the secondary data derived trom the annual publication of Reserve Bank of India tittles 'Statistics of Indian Economy'. Study covered the period trom 2011-12 to 2016-17. In order to determine the current situtaion of the financial assets and liabilities ofhousehold sector in India, researchers have used graphical and tabular form of data representation while for measuring the impact of changes in financial assets or financial libaiities of the household sector on the savings ofhoushold sector, linear regression analysis has been used. It was found that the changes in financial assets of the household sector has a positive and significant impact on the savings of household sector while changes in financial liabilities has a negative and insignificant impact on the savings ofhousehold sector.Keywords
Household Sector, India, Financial Assets, Financial Liabilities, Household Savings, Government.References
- Crockett, J. (1977). The choice between spending and saving, selected aspects of consumer behavior: A summary from the perspective of different disciplines. National Science Foundation, Washington, D.C.
- Dennis, L. R., & Granbois, H. D. (1983). Determinants of role structure in family financial management Journal of Consumer Research, 67, 253-258.
- Ferber, R. (1973). Consumer economics: A survey. Journal of Economic Literature, 77(4), 1303-1342.
- Hebbel, K. S., & Serven, L. (2000). Does income inequality raise aggregate saving? Journal of Development Economics, 61,415-446.
- Hayashi, F. (1987). Test for liquidity constraints: A critical survey and some new observations. Proc. the Advances in Econometrics, Fifth World Congress, 2, 91-120.
- Jianakoplos, N. A., Menchik, P. L., & Irvine, F. O. (1996). Saving behaviour of older households: Rate-of-retum, precautionary and inheritance effects. Economics Letters, Elsevier, 50(1), 111-120.
- Jappelli, T., &Padula, M. {2Q). Investment infinancial literacy and saving decisions. CSEF Working Papers 272, Center for Studies in Economics and Finance (CSEF), University ofNaples, Italy.
- Khrishnamra, P., Jayapani, C., Vanikkul, M., Silacharoen, R., & Suppakitjarak, N. (2010). Household saving behavior in Bangkok and metropolitan. Chulalongkorn Business Review, 33, Issue 129.
- Lindqvist (1981). Anote on determinants of household saving behaviour. Journal of Economic Psychology, 1, 39-57.
- Lundman, U. (1969). Information and transactions on the stock market. EFI. Stockholm.
- Mozzocco, M. (2004). Saving, risk sharing and preferences for risk. The American Economic Review, 94(4), 1169-1182.
- Modigliani, F. (1988). The role of intergenerational transfers and life cycle saving in the accumaulation of health Journal of Economics Perspectives, 2(2), 15-40.
- Modigliani, F., & Brumberg, R. E. (1954). Utility analysis and the consumption function: An interpretation of cross-section data. In K. K. Kurihara (Ed.), Postkeynesian Economics (pp. 388-436). New Brunswick, NJ: Rutgers University Press.
- Park, D., & Shin, K. (2009). Saving, in-vestment and current accounts surplus in developing Asia. Asian Development Bank Working Paper 158. Asian Development Bank, Manila, Philippines (April).
- Rundel, D. E. (1991). Liquidity constraints and the permanent-income hypothesis: Evidence frompanel data. Journal of Monitary Economics, 27, 73-98.
- Xiao, J., & Olson, G. I. (1993). Mental accounting and saving behaviour. Home Economics Research Journal, 22(1), 92-109.