Original Article

Quantifying the Performance of Farmer Producers Organization: An Insight on Index Development Approach

Year: 2025 | Month: September | Volume 70 | Issue 3

References (22)

1.Adhikari, A., Pradhan, K. and Reddy, S. 2021. Factors associated with the sustainability of farmers’ producer organizations (FPOs). Indian Res. J. Ext. Edu., 21(4): 145- 148.

View at Google Scholar

2.Alfares, H.K. and Duffuaa, S.O. 2009. Assigning cardinal weights in multi-criteria decision-making based on ordinal ranking. Journal of Multi-criteria Decision Analysis, 15(1): 125-133.

View at Google Scholar

3.Alkire, S. and Foster, J. 2011. Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7-8): 476-487.

View at Google Scholar

4.Amitha, C.D., Savitha. B., Sudha Rani, V. and Laxminarayana, P. 2021. Evaluation of performance of Farmer Producer Organizations (FPOs) in Medak District of Telangana. Indian Res. J. Ext. Edu., 21(4): 24-29.

View at Google Scholar

5.Barron, F.H. 1992. Selecting a best multi-attribute alternative with partial information about attribute weights. Acta Psychologica, 80(3): 91 - 103.

View at Google Scholar

6.Garrett, H.E. 1979. Statistics in psychology and education. Sixth edition, Valdis, Feffer and Simons Ltd., Mumbai, India.

View at Google Scholar

7.Gorai, S.K., Wason, M., Padaria, R.N., Rao, D.U.M., Paul, S. and Paul, R.K. 2022. Factors contributing to the stability of the farmer producer organisations: A study in West Bengal. Indian Journal of Extension Education, 58(2): 91-96.

View at Google Scholar

8.Guilford, J.P. 1954. Psychometric Methods. Tata Mc-Graw Hill Publishing Company Ltd. Bombay-New Delhi.

View at Google Scholar

9.Kumar, R., Pandey, A., Kumar, S. and Sivaramane, N. 2020. Identifying key performance indicators (KPIs) for farmer producer companies in India. Indian Journal of Economics and Development, 16(4): 591-597.

View at Google Scholar

10.Lal, S., Kadian, K.S., Jha, S., Abebe, W. and Lokhande, J.P. 2017. A methodological pathway to quantify livelihood security of the farmers: A confluence of alfares and FAO approach to frame an index. Indian Journal of Economics and Development, 13(2a): 772.

View at Google Scholar

11.Lal, S.P., Mohammad, A., Ponnusamy, K. and Kale, R.B. 2016b. A methodological pathway to quantify perception of the participants of animal fairs with relevance national dairy mela at NDRl Karnal, India. Journal of Animal Research, 6(3): 437-444.

View at Google Scholar

12.Lootsma, F.A. 1999. Multi-criteria decision analysis via ratio and difference judgment. Kluwer Academic Publishers, Dordecht.

View at Google Scholar

13.Madhu, L., Kadian, K.S., Meena, B.S., Manjunath, K. and Meena, D. 2021. Development of an index to measure the farmers’ perception towards input dealers as para extension workers. Indian Res. J. Ext. Edu., 21(4): 92-98.

View at Google Scholar

14.Mukherjee, A., Singh, P., Rakshit, S., Priya, S., Burman, R.R., Shubha, K., Sinha, K. and Nikam, V. 2019. Effectiveness of poultry based Farmers’ Producer Organization and its impact on livelihood enhancement of rural women. Indian Journal of Animal Sciences, 89(10).

View at Google Scholar

15.Narain, P., Rai, S.C. and Sarup, S. 1991. Statistical evaluation of development on socio-economic front. Journal of Indian Society of Agricultural Statistics, 43(3): 329-345.

View at Google Scholar

16.Navya, D. 2022. A Study on Performance of Farmer Producer Organisations in Telangana state. Indian Research Journal of Extension Education, 22(4): 112–117.

View at Google Scholar

17.Pal, V., Shiyani, R.L. and Ardeshn, N.J. 2015. Dynamics of agricultural development in Gujarat a district level analysis. Indian Journal of Economics and Development, 1(1): 351-358.

View at Google Scholar

18.Roy, H., Jirli, B. and Maji, S. 2022. Measuring the Role Performance of Farmer Producer Companies: An Index Development Perspective. Indian Research Journal of Extension Education, 22(3): 49-57.

View at Google Scholar

19.Sajesh, V.K., Padaria, R.N. and Sadamate, V.V. 2018. Pluralism in agricultural extension in India: imperatives and implications. Economic Affairs, 63(4): 1017-1025.

View at Google Scholar

20.Stillwell, W.O., Seaver, D.A. and Edwards, W. 1981. A comparison of weight approximation techniques in multi attribute utility decision making. Organizational Behavior and Human Performance, 28(1): 62-77.

View at Google Scholar

21.Sullivan, C.A., Cohen, A., Faures, J.M. and Santini, G. 2006. The rural water livelihoods index, working paper of FAO water. Retrieved on August 5, 2015 from www.fao. org. World Economic Forum. (2016). The Global Risks Report 2016,77811th Edition of World Economic Forum, framework of the Global Competitiveness and Risks Team, Geneva. Retrieved on November 10, 2016 from bttp,//wef.cb /risks2016

View at Google Scholar

22.Vachnadze, R.G. 2016. Prioritization of performance measures using analytic hierarchy process. International Journal of the Analytic Hierarchy Process, 8(3).

View at Google Scholar

@International Journal of Fermented Foods | Association with SASNET | Printed by New Delhi Publishers

64475950 - Visitors since April 13, 2019