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Assessment of the farming Productivity in Puri district of Odisha: A block wise analysis

International Journal of Agriculture and Food Science · 2026 · Vol. 8(2) · pp. 181–185

Abstract

Agricultural sector in India contributes nearly one half of the national income, providing jobs to nearly three fourth of the total population. Agriculture plays an important role in the economic developmental process of a country and continues to be the most dominant sector in Puri district. Agricultural productivity has been an important issue as the population continues to increase in recent times. The concept of agricultural productivity has been extensively used to explain the different patterns of agriculture and spatial organization over space. Agricultural productivity and efficiency have been assessed by different scholars in contemporary times by using different statistical measures and techniques. In this light, this research paper attempts to identify spatial pattern of Agriculture Efficiency Index in the study area that includes the Eight blocks of Puri district like Brahmagiri, Kanas, Delanga, Satyabadi, Pipili, Nimapada, Gop and Kakatpur which fall under immediate cyclone prone coastal areas of Puri District. The data for this study was collected from District Statistical Handbook (Agriculture Statistics and factsheet), Dept. of Agriculture and Farmer’s Empowerment produced by Govt. of Odisha (2012-16) including both the Rabi and Kharif produce. Among various productivity index methods, the researcher has chosen S.S. Bhatia Method to calculate the crop efficiency index because of its detailed analysis and profound accuracy.

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Introduction

"Agriculture is the lifeline and backbone of Indian economy." Though the economic outcome made by the agricultural sector in the last five decades is one of the biggest success stories of free India, but significant achievements in comparison to other developed agrarian countries are yet to be achieved. Agriculture and allied activities solely constitute the single largest contributor to the gross domestic product of Odisha. Agriculture is the means of livelihood of about two-third of the working population in our country. In Odisha, increase in agricultural production of any area which is under cultivation highly depends upon the use of high-quality seeds, increasing irrigation facilities, water resource management, rational use of pesticides, cropping patterns and involvement of agricultural research. However, the study propounds a great deal of difference in the agricultural production in selected blocks of Puri district, which requires a detailed inspection to overcome the unequal production of crops and cereals among the study area. In this context, for the present study, the productivity efficiency index was calculated by using S.S. Bhatia method and the calculated values are grouped by using the dispersion of range which are there after categorised as High Productivity, Medium Productivity, and Low Productivity Regions. The Agricultural efficiency index is helpful for determining the suitability and productivity of agricultural crops which is helpful in identifying the spatial distribution and pattern over geographical regions. Further, this method is highly useful for demarcation and identification of agricultural areas in Puri district which will facilitate the planners and policymakers to make decisions by considering the outcome of the Agricultural efficiency Index that may lead to better performance in the research area.

Review of Literature

According to Stamp, (1952) [26] the study of agricultural productivity has been attempted by many scholars by advising and improving different techniques. Shafi (1960) [25] determined the agricultural productivity on a global scale by selecting a number of countries and some major crops. The areal unit and ranking co-efficient were derived. Khusro analyzed that many others measured the agricultural productivity in terms of grain equivalents per head of population. Determining output in relation to input or output -input ratio and profitability of farming measured in terms of the return for the sum total of human efforts or paid-outcost in relation to the output. Sapre and Deshpande (1964) and Bhatia (1967) [14] elaborated by giving weightage to the ranking order of the output per unit area with the percentage share under each crop have calculated the productivity. Buck applied his technique in determining the agricultural efficiency in Uttar Pradesh. Cantor studied Furrow irrigation as very common because it is adaptable to a great variety of land slopes and soil texture. It can be used with either large or small streams of irrigated water. Singh analyzed in developing countries land is limited to permit any expansion of cultivated area and the increasing pressure of population on land compels the geographers and agricultural scientists to think for the improvement of agricultural efficiency. Hussain (1976) measured by money value of productivity per unit area. Jasbir Singh (1976) correlated yield and concentration indices ranking co-efficient method is adopted, it gives due weight age to per hectare yield area occupied and ranking of various crops he also studied. According to Murthy (1976) irrigation, the basic input in most parts of the cultivated land in our country has played a vital role in stepping up food production, as other inputs like fertilizers improved seeds etc. contribute their due share only when assured water supply is available.

Objectives

To find out agriculture productivity in selected blocks of Puri District.

Database and Methodology

The present study relies upon the secondary data collected from Online Agriculture Statistics, Dept. of Agriculture and Farmer's Empowerment, Govt. of Odisha by taking eight blocks viz. Brahmagiri, Kanas, Delanga, Satyabadi, Pipili, Nimapada, Gop and Kakatpur into account out of 11 blocks due to non-availability of data for all the blocks. In this study Firstly, major crop productivity is measured and the productivity indices have been calculated on the basis of statistical technique formulated by S.S. Bhatia and maps are prepared accordingly for comparative study of spatial distribution. The yield index of each crop is calculated by the equation given below:

Dr. S.S. Bhatia's Agricultural Efficiency Method

Agricultural efficiency (Ei) can be measured in four ways (Bhatia, 1967) [14]  Output per unit area.  Output and input ratio.  Output per unit of labour applied.  Output in terms of grain equivalents per head of population.

In this study Bhatia's method has been adopted to measure agricultural efficiency (Ei) following these steps:

Where it is Eyij. Ci/ Yield of crop "j" in the district "i" Ecij = Yield of region 2. Cij = Proportion of the area under crop "i" in the "i"th district to the total area under all crops in district "i"

Analytics and Discussion

A brief study of the regional character is attempted in this study which is useful for understanding the basis of distributional pattern of crops and its intensity over specific blocks. The Puri district lies around the latitudes 19° and longitudes 84°29'E. It has a geographical area of 3051 km2 or 264988 Hac. It has a varied geographical and geological divisions depending upon the available rock types, soil, vegetation, water bodies and climate. The whole of the district may be divided into two dissimilar natural divisions like:

1. The littoral Tract The strip of the country lies between the alluvial and the Bay of Bengal. It assumes the form of a bare but sandy ridge which stretches along the seashore for the full length of the District, Varying from 6.5 km. to a few hundred metres in width. Similarly, Accumulations of windblown sand give rise to ridges parallel to the coast. It forms the dividing line between the Chilika lake and the ocean. 2. The Level Alluvial tract region which is full of villages and rice fields, watered by a network of channels, through which the water of distributaries of the most southerly branch of Mahanadi, find their way to the sea. There is no hill in Puri District except a small cultivate land are under plough. Generally, biali or autumn rice, sarada or winter rice and dalua or spring rice these three types of rice are cultivated.

Low agricultural productivity:

The low agricultural productivity found in three blocks of Puri district like Pipili, Satyabadi, Kakatpur and Gop which is attributed to Traditional Farming Practices which are less efficient and yield lower outputs. Similarly Lack of awareness about modern, high-yielding crop varieties and technologies hinders productivity in blocks like Gop, Satyabadi and Kakatpur. It is also observed that a significant portion of agricultural land in the region is rain-fed, making it highly susceptible to variations in rainfall patterns and inadequate irrigation infrastructure limits the ability to manage water resources effectively, especially during dry spells in Pipili block. In Kakatpur and Gop poor road networks and inadequate transportation facilities hamper the timely and costeffective movement of agricultural produce. Similarly, a large number of farmers own small and fragmented plots of land, making it difficult to adopt modern, capital-intensive technologies. Whereas this fragmentation increases the cost of farming operations and reduces overall efficiency. Another most promising reason behind low agricultural productivity in Kakatpur and Gop particularly is hitting of Tropical cyclones in every couple of years making it difficult to manage for agricultural production. (Mishra K.C., 2020) [19]

References

  1. Barakade AJ, Sule BM. Rainfall variability in Solapur district of Maharashtra: a geographical study. Review of Research. 2011;1(11):1-4.
  2. Kamble DC, Mane SP. Irrigation pattern in Malshiras tahsil of Solapur district: a geographical analysis. Review of Research. 2018;9:74-77.
  3. Kamble DC, Mane SP. Agriculture productivity in Malshiras: a geographical analysis. Aayushi Int Interdiscip Res J. 2018;2(9):658-662.
  4. Hajare RV, Shinde AS, Mane SP. A geographical analysis of problems associated with low nutrition level in Solapur district, Maharashtra, India. J Golden Res Thoughts. 2014;4:1-6.
  5. Lal MD. Land use, land tenure and agricultural productivity in Sri Lanka: a spatio-temporal analysis [PhD thesis]. Pune (India): University of Pune; 2009.
  6. Mane SP. Impact of irrigation on agriculture in Malshiras tahsil of Solapur district (MS): a geographical analysis [MPhil dissertation]. Kolhapur (India): Shivaji University; 2018.
  7. Nikam BT. Impact of sugar industry on regional development: a case study of Malshiras tahsil in Solapur district [PhD thesis]. Solapur (India): Solapur University; 2013.
  8. Kolhapur (India): Shivaji University; 2010.
  9. Salunkhe CM. Impact of Nira irrigation canal on agriculture in Malshiras tahsil: a geographical analysis [PhD thesis]. Nanded (India): Swami Ramanand Teerth Marathwada University; 2015.
  10. Singh J, Dhillon SS. Agricultural geography. New Delhi: Tata McGraw-Hill Publishing Co Ltd; 1995. p.108-121.
  11. Sule BM, Barakade AJ. Pattern of levels of agricultural development: a case study of selected villages in Solapur district. Eur Acad Res. 2014;2(3):3330-3347.
  12. Paddy and cereal related data. Krishi Vigyan Kendra Puri progress report 2023-24; Directorate of Economics and Statistics, Odisha.
  13. Akhtar N. Agricultural productivity and productivity regions in West Bengal. NEHU J. 2015;13(2):45-61.
  14. Bhatia SS. A new approach to measure agricultural efficiency in Uttar Pradesh. Econ Geogr. 1967;43:224260.
  15. Bravo BE, et al. Efficiency in agricultural production: the case of peasant farmers in East Paraguay. Agric Econ. 1993;10:27-37.
  16. Chaskar KS, Lal S, Calla O, Mohave SH. Agricultural efficiency of Vidarbha region (Maharashtra). Natl Geogr J India. 1987;33:154-159.
  17. Chatterjee A, Maitry P. Some aspects of regional variation in agricultural productivity and development in West Bengal. Indian J Agric Econ. 1964;19(1):207212.
  18. Das HL. Agricultural efficiency in India: an interregion analysis. New Delhi: Mittal Publications; 1993.
  19. Mishra KC. Socio-economic profile of Puri district of Odisha. EPRA Int J Econ Bus Rev. 2020;8(12). International Journal of Agriculture and Food Science https://www.agriculturaljournals.com
  20. Study of agricultural efficiency and productivity: a study of Hugli district, West Bengal, India. Int J Curr Res. 2012;4(11):190-195.
  21. Husain M. Systematic agricultural geography. Jaipur: Rawat Publications; 2015.
  22. Kendall MG. The geographical distribution of crop productivity in England. J R Stat Soc. 1939;102:21-48.
  23. District Statistical Handbook 2012-2016. Agriculture statistics and factsheet. Bhubaneswar (India): Department of Agriculture and Farmers' Empowerment, Government of Odisha. 24. Bengal District Gazetteers. Kolkata (India): Government of West Bengal; 1997.
  24. Shafi M. Measurement of agricultural efficiency in Uttar Pradesh. Econ Geogr. 1960;36:296-305.
  25. Stamp LD. The measurement of agricultural efficiency with special reference to India. Indian Geographical Society Silver Jubilee Volume. 1952:177-178.
  26. Siddiqui SH. Pattern of agricultural productivity in Bihar. Geographer. 1999;46(1):107-117.
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