Analysis of State Wise Yield of Major Food Crops in India for the Year 2014-15
DOI:
https://doi.org/10.53555/jaz.v45i2.4672Keywords:
Biplots, Covariance matrix, Kruskal-Wallis test, PCA, Scatter plot, Sree PlotAbstract
Agriculture plays a pivotal role in India's economy and food security. Understanding the state-wise yield variations of major food crops is essential for informed policymaking and sustainable agricultural practices. This study conducts a comprehensive analysis of state-wise crop yield data for major food crops, including rice, wheat, pulses, and sugarcane. Our findings reveal significant disparities in crop yields across different states in India. Factors such as climate variability, soil quality, irrigation infrastructure, and government interventions have profound effects on crop production. While states like Punjab and Haryana consistently exhibit high yields of wheat and rice, others face challenges in achieving similar productivity. The state-wise variability in crop yields underscores the need for region-specific agricultural strategies. In this study, covariance matrix of nine major food crops have been generated along with graphical representation of state wise food grains. Scatter plot represented nine variables considering major crops in India. Variation has been examined using PCA technique and justification has been done using Scree Plot. Biplots are plotted for all the five components of PCA technique. Kruskal-Wallis Rank Sum Test is conducted for Staple and Nonstaple food crops and found heterogeneity among six zones in India.
Downloads
References
Abellanosa, A. L., & Pava, H. M. (1980). Introduction to Crop Science. Central Mindanao University, Musuan, Bukidnon: Publications Office.
Rubenstein, J. M. (2003). The Cultural Landscape: An Introduction to Human Geography (7th ed.).Pearson Education, Inc.
Labour Code of the Philippines. Article 97(d), Chapter I, Title II.
Black, H. C. (1990). Black's Law Dictionary: Definitions of the Terms and Phrases of American and English Jurisprudence (6th ed.). West Publishing Co.
World Bank. (n.d.). Agricultural land (% of land area) – India. World Bank Open Data.
https://data.worldbank.org/indicator/AG.LND.AGRI.ZS?locations=IN
Food and Agriculture Organization of the United Nations. (n.d.). India at a Glance. https://www.fao.org/india/fao-in-india/india-at-a-glance/en/
Ministry of Agriculture & Farmers Welfare. (n.d.). Contribution of Agricultural Sector in GDP.
https://www.pib.gov.in/PressReleasePage.aspx?PRID=1909213
International Monetary Fund. (n.d.). India. https://www.imf.org/en/Countries/IND
Karnataka State Council for Science and Technology. (2015). The Pipeline Trencher. http://www.kscst.iisc.ernet.in/sppArchive/public/Abstract/038/7914.pdf
NITI Aayog. (n.d.). Rural Women: Key to New India's Agrarian Revolution. https://www.niti.gov.in/rural- women-key-new-indias-agrarian-revolution
Department of Agriculture, Cooperation and Farmers Welfare, Govt. of India. (2015). Agricultural Statistics at a Glance. www.agricoop.nic.in. Books Private Limited, New Delhi.
[Website]. (n.d.). Essay on Important Food Crops of India. http://www.shareyouressays.com/120735/essay- on-important-food-crops-of-india-47-42-words
Roy, A., Singh, N. U., Dkhar, D. S., Mohanty, A. K., Singh, S. B., & Tripathi, A. K. (2015). Food Security in North-East Region of India --- A State-wise Analysis. Agricultural Economics Research Review, 28
(Conference Number), 259-266. DOI: 10.5958/0974-0279.2015.00041.5
Sharma, P., & Singh, A. K. (2017). Association of state-wise Food Security Index with Climatic Factors in India: Evidence from state-wise panel Data. Journal of Global Agriculture and Ecology, 6(3), 196-205.
Khan, W., Ansari, S. A., & Ali, T. (2020). Economic reforms and agriculture in India: A state-wise analysis of the post-reforms period. J Public Affairs, 2020; e2390. DOI: https://doi.org/10.1002/pa.2390
Madhukar, A., Kumar, V., & Dashora, K. (2020). Spatial and Temporal Trends in the Yields of Three Major Crops: Wheat, Rice, and Maize in India. Int. J. Plant Prod, 14, 187–207. DOI: https://doi.org/10.1007/s42106-019-00078-0
Kumar, A., Sharma, P., & Joshi, S. (2015). Effects of Climatic Factors on Agricultural Productivity in India: A State-wise Panel Data Analysis. International Journal of Basic and Life Sciences, 3(1), ISSN (Online): 2320-513X.
Samal, P., Jambhulkar, N. N., & Repalli, S. K. (2018). State-Wise Analysis of Growth in Production and Profitability of Rice in India. Indian Journal of Economics and Development, 4(3), 399-409. DOI:
5958/2322-0430.2018.00151.8
Ajay Kumar and Pritee Sharma (2013). Impact of Climate Variation on Agricultural Productivity and Food Security in Rural India. Economics Discussion Papers, 43, Kiel Institute for the World Economy. DOI: https://dx.doi.org/10.2139/ssrn.4144089
Singh, Ajay Kumar, & Jyoti, Bhim (2021). Projected Food-grain Production and Yield in India: An
Evidence from State-wise Panel Data Investigation during 1977-2014. Journal of Agricultural Sciences, 16(1). URL: http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1059
Mathur, Archana S., Das Surajit, & Sircar Subhalakshmi (2006). Status of Agriculture in India: Trends and Prospects. Economic and Political Weekly, 41(52), 5327-5336. DOI: http://www.jstor.org/stable/4419078
Manogna, R. L., & Mishra, A. K. (2020). Agricultural production efficiency of Indian states: Evidence from data envelopment analysis. Int. J. Fin. Econ, 01–12. DOI: https://doi.org/10.1002/ijfe.2369
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Bhaskarjyoti Talukdar, Pranjal Kumar Chakravartty, Bandana Sharma
This work is licensed under a Creative Commons Attribution 4.0 International License.
