Estimating the difference of agriculture productivity in ASIAN regions

  • Authors

    • Swati Hira
    • Anita Bai
    https://doi.org/10.14419/ijet.v7i2.4.13025

    Received date: May 18, 2018

    Accepted date: May 18, 2018

    Published date: March 10, 2018

  • Asia, Agriculture Productivity, Economic Growth.
  • Abstract

    Agriculture is the major sector in the economy of Asia. The aim of this paper is to identify the importance of agriculture in Asia continent. In this paper, we evaluate differences between and within regions of Asia (Eastern-Asia, South-Central Asia, South-East Asia, and Western Asia and Middle Asia) and their countries. We used five agriculture parameters (Agriculture Land, Cereal production, Machinery, Tractors, Cereal yield, Land under cereal production) which widely represent agriculture productivity of Asia. The means of all Asian regions and its countries are identically similar is considered as a hypothesis for agriculture parameters. We use One-way ANOVA (analysis of variance) technique for analysis. Further, Asian regions and countries are estimated to test the differences of the means between and within regions and countries of each Asian region. The results show that each Asian region and their countries are having different agriculture productivity for agriculture parameters.

  • References

    1. Hamidov, K. Helming, and D. Balla, “Impact of agricultural land use in Central Asia: a review”. Agronomy for Sustainable Development, vol. 36, no.1, 2016, 1-23.
    2. U. Sultangazin, N. Muratova, A. Terekliov and P. Doraiswamy, “Monitoring of crop rotation and weed infestation estimation using MODIS”. IEEE International Proceedings Geoscience and Remote Sensing Symposium,vol. 6, 2004, pp. 4066-4069.
    3. Rehman, L. Jingdong, R. Khatoon, and I. Hussain. “Modern Agri-cultural Technology Adoption its Importance, Role and Usage for the Improvement of Agriculture”, American-Eurasian J. Agric. & Enviroment. Sci, vol. 16, no. 2, pp. 284-288. 2016.
    4. Bai, S. Hira and P. S. Deshpande, Economic evaluation of world cities based on factor analysis, International Journal Of Advanced And Applied Sciences, vol. 3, no. 4, pp.1-6, 2016.
    5. Bai, S. Hira, and P. S. Deshpande, "Recurrence Based Similarity Identification of Climate Data." Discrete Dynamics in Nature and Society 2017, 2017.
    6. P. V. Jirapure1, P. Deshkar, “Regression method and cloud compu-ting technology in the field of agriculture”, International journal of innovative research in computer and communication engineering, vol. 4, no. 4, 2016.
    7. J. W. McArthur, and G.C. McCord, “Fertilizing growth: Agricultural inputs and their effects in economic development”, Journal of Devel-opment Economics, 127, pp.133-152, 2017.
    8. D. Jones and G. Ejeta, “A new global agenda for nutrition and health: the importance of agriculture and food systems”, Bulletin of the World Health Organization, vol. 94, no. 3,pp. 228, 2016.
    9. E. Nkonya, A. Mirzabaev and J. Braun, “Economics of Land Deg-radation and Improvement – A Global Assessment for Sustainable Development”, Springer Open, 2016.
    10. C. Godoy and J. Dewbre, “Economic importance of agriculture for sustainable development and poverty reduction: the case study of vi-etnam”, global forum on agriculture, policies for agriculture devel-opment, poverty reduction and food security, 2010.
    11. R. I. Levin and D. S. Rubin, Statistics for Management. Pearson Prentice Hall, University of North Carolona, 2006.
    12. G. Rupert and J. R. Miller, “Beyond ANOVA: Basics of Applied Statistics”, Chapman & Hall/CRC Texts in Statistical Science, 1997.
    13. S. Hira and P. S. Deshpande, Mining precise cause and effect rules in large time series data of socio-economic indicators. SpringerPlus, vol. 5, no. 1, pp.1625, 2016.
  • Downloads

  • How to Cite

    Hira, S., & Bai, A. (2018). Estimating the difference of agriculture productivity in ASIAN regions. International Journal of Engineering and Technology, 7(2.4), 140-146. https://doi.org/10.14419/ijet.v7i2.4.13025