Agricultural Science Digest

  • Chief EditorArvind kumar

  • Print ISSN 0253-150X

  • Online ISSN 0976-0547

  • NAAS Rating 5.52

  • SJR 0.156

Frequency :
Bi-monthly (February, April, June, August, October and December)
Indexing Services :
BIOSIS Preview, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus

Socio-economic Profile of the Beneficiaries of MGNREGA: A Study on the MGNREGA in the Nalanda District of Bihar

Vineeta Chandra1, Amrit Warshini2, P. Mounika3, Aman Verma2, Ramesh Chand Bunkar4, Sameer Mahapatro5,*, Chitrasena Padhy1
1Department of Agricultural Extension Education, MSSSoA, Centurion University of Technology and Management, Paralakhemundi-761 211, Odisha, India.
2Department of Agricultural Extension and Education, Acharya Narendra Deva University of Agriculture and Technology, Ayodhya-224 229, Uttar Pradesh, India.
3Department of Agricultural Extension, Majhighariani Institute of Technology and Science, Rayagada-765 017, Odisha, India.
4Division of Dairy Extension ICAR-National Dairy Research Institute, Karnal-132 001, Haryana, India.
5Department of Drones, Remote Pilot Training Organization, Centurion University of Technology and Management, Paralakhemundi-761 211, Odisha, India.

Background: Gandhi National Rural Employment Guarantee Act, was notified by Ministry of rural development, GOI in September, 2005. Mahatma Gandhi National Rural Employment Guarantee Act is the first statute in the history of India empowering rural India with the power of work. The present study aims to analyse socio-economic profile of the beneficiaries of MGNREGA: A study on the MGNREGA in Nalanda district of Bihar. 

Methods: In this research during the year 2022-2023. Nalanda district in Bihar is selected for the study. Hilsa block for the study since it contains the greatest number of MGNREGA beneficiaries. Six villages in total were purposefully chosen for the study. A random sample of 120 respondents was obtained. Pre-structured interview schedules were used to gather the data and relevant statistical analysis was carried out to determine the significant findings. 

Result: The findings of the study shows that the majority of respondents 42.50 percent belong to the middle age group; the majority of respondents 46.67 per cent were illiterate; the majority 47.50 per cent belonged to the schedule class caste; the majority 53.34 per cent held land holdings of less than one acre; the majority 39.17 per cent worked alone as their primary occupation; forty per cent had low annual incomes; the  majority 50.83 per cent had a family of medium size; the majority 43.33 per cent were involved in social activities; the majority 48.33 per cent had medium-level social participation and most (47.50%) of the respondents were having medium level of extension contacts.

The Indian government passed the National Rural Employment Guarantee Act (NREGA), in 2005. It is a one-of-a-kind national policy intervention that strives to improve the livelihood security of those who reside in rural areas (Mishra et al., 2010 and Makwana and Shah, 2011).
       
The MGNREGA programme tops the list of the most effective initiatives ever launched in India to alter rural living (Ghosh, 2010; Thakur, 2011 and Seth, 2015). The NREGA is, in many ways, a legalised version of past systems. MGNREGA is a demand-driven programme, unlike other programmes that are allocation-based (Dreze 2008). Beginning with 200 districts on 2 February 2006, the NREGA expanded to include all Indian districts on 1 April 2008. Over the course of three to four years, the Indian government, along with non-governmental organisations, has successfully expanded the MGNREGA to over 40 million families (Holmes et al., 2010; Khera, 2011).
       
By ensuring 100 days of pay employment, the plan has the huge potential to improve socioeconomic conditions and boost the standard of living for rural poor people (Bhat et al., 2021) MGNREGA benefits for women have been realized through effects on income consumption, affects within households and improvements in choice and decision-making within the family (Kumar et al., 2013; Pankaj and Tankha (2010). The implementation of MGNREGA evidently improved employment, income generation, women’s participation, standard of living and the socioeconomic circumstances of the rural poor (Jacob, 2008; Khera and Nayak 2009; Sankari and Murugan, 2009; Roy and Singh, 2010; Kumar et al., 2011; Pooniya, 2012; Karthika, 2015). However, (Kareemulla et al., 2010; Thomas and Bhatia, 2012 and De and Jana, 2013) did not found the MGNREGA’s operation to be very satisfactory and reported people’s dissatisfaction regarding the scheme’s impact on their livelihood and the quality of work completed under it.
       
Eliminating underemployment and unemployment has been a major goal of national planning. The planning commission has always believed that increased investment will result in higher national income and more jobs being created in the nation. Moreover, the elimination of unemployment would raise gross national product on the one hand and rural residents’ standard of living and per capita income on the other. A growth in labour absorption alone does not indicate the creation of job opportunities. However, it must address the issue of rising wages and salaries, meaning that employment must be productive in order for the living standards of those employed to rise along with productivity.
       
Numerous studies have evaluated the socio-economic impact of the programme on participants by partially accounting for a variety of parameters, including changes in household spending, savings, income and nutritional and health status (Sarkar, 2011). Additionally, socio-economic factors include significant variables like age, education, caste, family size, land ownership, occupation, yearly income, information source, social participation and extension contacts.
The study was carried out in Bihar’s Nalanda district during 2021 to 2022. Hilsa block which has the most MGNREGA beneficiaries, it was chosen for the study using purposive sampling. Six communities in total were chosen for the study with the intention of including more MGNREGA beneficiaries in these villages. A random sample of 120 respondents was obtained. This research is carried out in the Sam Higginbottom University of Agriculture, Technology and Sciences, in the year 2021-2022.
 
Analytical tools
 
To assess the socio- economic profile of the MGNREGA beneficiaries the, different dependent and independent variable. Simple statistical tools like arithmetic mean, standard deviation, Percentage analysis and Karl Pearson’s correlation coefficient.
The data presented in table 1 shows Age, Educational status, Caste, Size of family, Land holding, Occupation, Annual income, Sources of information, social participation and Extension contacts.
 

Table 1: Socio-economic profile distribution of the MGNREGA beneficiaries.


       
The data in Table 1, the bulk of MGNREGA beneficiary 42.50 percent belong in the middle age group, followed by the young age group (35.00%) and the senior age group (22.50%). The results for the age groups mentioned above are consistent with (Marin and Vineeth’s 2012) findings. The majority of MGNREGA participants who were middle-aged or younger are likely beneficiaries of the programme because of the lengthy commutes between work locations and the energy-intensive projects undertaken, such as excavating farm ponds.
       
It is evident that the more than one fourth (26.66%) of the MGNREGA workers were functionally literate, most of the (46.67%) MGNREGA workers were illiterate, about 15 percent of the workers of MGNREGA have undergone primary school education, about a difference of (5%), the MGNREGA workers fell into middle school education (10%), Very few workers have completed their higher school education. Education can be accumulated either through formal study or through informal study. The result of the study is parallel to the findings of Argade (2010). MGNREGA recipients only completed secondary school, they may benefit from using materials such as pamphlets, folders and other materials that provide information about MGNREGA activities. Posters, demonstration films, specimens and other materials can be utilized to raise awareness of the features of MGNREGA among the illiterate and those with primary school education.
       
From the Table 1 it is found that the 47.50 per cent MGNREGA beneficiaries belong to the schedule class, followed by 30.00 per cent belong to the backward class category and 22.50 per cent fell into the general caste category. The result of the study is somewhat parallel to the Debabrata and Bandyopadhyay (2013). It is revealed that the Majority (50.83%) of the MGNREGA beneficiaries were having medium size of family, followed by 30.00 per cent of the MGNREGA beneficiaries were having small size of family and 19.17% of MGNREGA beneficiaries were having large size of family. The result of the study is parallel to the findings of Argade (2010). It is because of their limited resources, impoverished people may have restricted their family size to a medium size, realising the challenges of raising a large number of children. There may be a high level of knowledge regarding small families and family planning, which will enhance both the health and the family environment. It is evident that the more than 50 per cent of the MGNREGA beneficiaries were have less than 1 acre of land, followed by the 28.33 per cent of the MGNREGA beneficiaries were have 1-2-acre lands and few of the MGNREGA beneficiaries were have more than 2 acres of land. The result of the study is parallel to the findings of Parahad (2011). The reason for marginal and tiny land holdings could be attributed to family breakup causing land fragmentation. The large land holding may be the result of appropriate ancestry continuance.
       
Table 1 makes it clear that 39.17 per cent, or 47, of the MGNREGA beneficiaries were labourers. These were followed by 34.17 per cent, or 41, of the MGNREGA beneficiaries who were labourers in addition to engaging in agriculture and 26.66 per cent of the MGNREGA beneficiaries who were labourers in addition to engaging in some small business, such as operating stalls. The study’s outcome is consistent with Marin and Vinneth’s (2012) findings. As a result, it can be said that the bulk of MGNREGA recipients worked mostly as labourers due to a lack of sufficient educational background to find employment. They were solely dependent on labourers because of this. The selected MGNREGA recipients were engaged in farming and labour because it was their ancestors’ customary vocation and because they lacked sufficient education, which led to their employment as labourers.
       
Table 1 makes it clear that 40.00% of MGNREGA beneficiaries earned less than Rs.50,000 annually, followed by 35.00% who earned between Rs.50,000 and Rs.100,000 annually and 25.00%, or one-fourth of the beneficiaries, who earned more than Rs.100,000 annually. The studies agree with Argade’s (2010) findings. MGNREGA’s primary goal is to improve the economic circumstances of rural impoverished people by giving them access to employment possibilities. Given that the majority of respondents had low incomes, MGNREGA should assist people in rising beyond the poverty line by raising their income.
       
Table 1 makes clear that 43.33% of MGNREGA beneficiaries had medium levels of information sources, followed by 39.17% with low levels and 17.50% with only high levels. The results shown above are consistent with those of Khalache and Gaikwad (2011). Perhaps in the current era of mass media and electronic media, Majority of MGNREGA recipients learned about the programme from friends, family, Gramme Sevak, television, radio, newspapers and technical officers (MGNREGA). The medium level of information sources may have been caused due to the lack of time, a lack of mass media, inadequate communication tools and a low degree of comprehension. According to the Table 1, 48.33 per cent of MGNREGA beneficiaries participated in society at a medium level, followed by 32.50 per cent who participated at a low level and 19.17 per cent who participated at a high level. The results shown above are consistent with those of Bhandari 2014 and Bansode et al., 2013. The majority of the respondents had membership of very few organization organisations, such as cooperative societies, Gram Panchayats cooperative societies, etc., which may be the likely to be the probable reason of these outcomes. Another possible explanation for their medium social participation could be that they hesitate to participate in formal and non-formal groups because of the dominance of higher castes, higher income groups and higher socioeconomic status people’s. Low social participation was due to lack of time and interest, lack of perceived benefits and local politics.
       
It is clear from table 1 that 47.50% of MGNREGA beneficiaries had medium extension contacts, followed by 34.17 per cent who had low extension contacts and 18.33 per cent who had high and low extension contacts respectively. The results are consistent with those of Rathod and Damodhar (2015). The majority of MGNREGA beneficiaries most likely fall into the medium category of extension contacts due to their eagerness to work with agriculture assistants, gramme sevaks and other technical officers; this might be good relationships with extension workers and are interested in solving problems with them. MGNREGA beneficiaries received information about the programme from a variety of sources, including friends, family, KVK SMS, agriculture officers, assistants and NGOs that assist recipients in expanding their outreach.
From above it is concluded that the majority of responders were middle-aged, with little to no formal education. The majority of the respondents belonged to the schedule class caste. With the majority of the respondents had medium-sized families and were marginal farmers. The majority of respondents had low annual incomes and were employed as workers. The majority of the participants exhibited poor levels of information sources, social activity and extension contacts. According to the study, the majority of MGNREGA recipients reported significant issues such low salary rate, lateness in receiving payment. Therefore, in order to raise awareness of the aforementioned issues, the government should hold demonstrations.
All authors declare that they have no conflicts of interest.

  1. Argade, S.A. (2010). Study on National Rural Employment Guarantee Scheme in Thane district of Maharashtra. M.Sc. (Agri) Thesis, unpub. Acharya N.G. Ranga Agricultural University, Hyderabad.

  2. Bansode, S.M., Ankush, G.S., Mande, J.V. and Suradkar, D.D. (2013). Impact of SHG on socio- economic development of their members. Journal of Community Mobilization on Sustainable Development. 8(11): 117-120.

  3. Bhandari, S.D. (2014). Impact of Mahatma Gandhi national rural employment guarantee act on the beneficiaries. M.Sc. (Agri.) Thesis, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (Maharashtra).

  4. Bhat A.F., Hussain S., Yasmin E. (2021). Implementation and performance of MGNREGA in Jammu and Kashmir a decadal study. Bhartiya Krishi Anusandhan Patrika. 36(1): 47-54. doi: 10.18805/BKAP284.

  5. Bipul, D., Sebak, J. (2013). Implementation of MGNREGA in rural West Bengal: A case study of Sonamukhi block, Bankura district. W.B. Asian Journal of Multidimensional Research. 2(6): 17-30.

  6. Debabrata, M. and Bandyopadhyay, A.K. (2013). Problem and prospect of National Rural Employment Guarantee Scheme in Jharkhand. Journal of Progressive Agriculture.  4(1): 92-95.

  7. Dreze, J. NREGA: Ship without rudder. The Hindu. 19 July 2008, p5.4.

  8. Ghosh. M. (2010). Inclusive growth and rural poverty in India: Policy implication for eleventh plan. Indian Journal of Agricultural Economics. 65(3): 552-561.

  9. Holmes, R., Sadana, N. and Rath, S. (2010). Gendered Risks, Poverty and Vulnerability in India-Case Study of Indian Mahatma Gandhi National Rural Employment Guarantee Act (Madhya Pradesh), Overseas Development Institute (ODI), London, UK. P-11.

  10. Jacob. N. (2008). The impact of NREGA on rural-urban migration: Field survey of Villupuram district, Tamil Nadu. CCS working paper no. 202, Summer Research Internship Programme, Centre for Civil Society. 

  11. Kareemulla, K. Shalander Kumar, S.K. Reddy, Rao, C.A.R., Venkateswarlu, B. (2010). Impact of NREGS on rural livelihoods and agricultural capital formation. Indian Journal of Agricultural  Economics. 65(3): 524-539.

  12. Karthika, K.T. (2015). Impact of MGNREGA on socio-economic development and women empowerment. IOSR Journal of Business and Management (IOSR-JBM). 17(7): 16-19.

  13. Khalache, P.G. and Gaikwad, J.H. (2011). Impact of watershed development programme of watershed organization trust (WOTR) on the beneficiaries in Ahmednagar district. Indian Journal of Extension Education. 47(3 and 4): 104- 108.

  14. Khera, R. (ed.). (2011). The Battle for Employment Guarantee, Oxford University Press.

  15. Khera, R., Nayak, N. (2009). Women workers and perceptions of the National Rural Employment Guarantee Act. Economic and Political Weekly. 44(43): 49-57.

  16. Kumar, D.U., Bhattacharyya, P. (2013). Participation of women in MGNREGA: How far is it successful in Morigaon, Assam. Indian Journal of Economics and Development. 1(2): 38-48.

  17. Kumar, J., Prattoy Sarkar, Supriya, (2011). Impact of MGNREGA on reducing rural poverty and improving socioeconomic status of rural poor: A study in Burdwan District of West Bengal. Agricultural Economics Research Review. 24 (conference no.): 437-448.

  18. Makwana, M. and Shah, V.D. (2011). Impact of NREGA on wage rates, food security and rural urban migration in Gujarat, Research Study No.141, Agro-Economic Research Centre, Sardar Patel University, Vallabh Vidyanagar. 1- 199.

  19. Marin, S.T. and Mohandas, V. (2012). Impact of MGNREGA on labour supply to agricultural sector of Wayanad District in Keral. Agricultural Economic Research Review. 25(1): 151-155.

  20. Mishra, P., Behera, B., Nayak, N.C. (2010). A development delivery institution for the tribal communities: Experience of the National rural employment guarantee scheme in India. Development Policy Review. 28(4): 457-479.

  21. Pankaj, A., Tankha, R. (2010). Employment effects of the NREGS on women workers: A study in four states. Economic and Political Weekly. 45(30): 4-55.

  22. Parhad, A.R. (2011). Impact of Mahatma Gandhi National Rural Employment Guarantee Scheme on the beneficiaries M.Sc. (Agri.) Thesis, Mahatma Phule Krishi Vidyapeeth, Rahuri (Maharashtra).

  23. Pooniya, J. (2012). Critical Study of MGNREGA: Impact and women’s participation. International Journal of Human Development and Management Sciences. 1(1): 35-55.

  24. Rathod, M.K. and Damodhar, P. (2015). Impact of MAVIM activities on empowerment of rural women. Indian Res. J. Extn. Edu. 15(1): 8-11.

  25. Roy, S., Singh, B. (2010). Impact of NREGA on empowerment of the beneficiaries in West Bengal. Indian Research Journal of Extension Education. 10(2): 21-24.

  26. Sankari, C., Murugan, S. (2009). NREGA: Impact in Udangudi Panchayat Union Tamil Nadu-A case study. Kurukshetra- A Journal on Rural Development. 58(2): 36-41.

  27. Sarkar. P. (2011). Socio economic impact of MGNREGA in Burdwan district of West-Bengal, M.Sc. Thesis, G.B.P.U.A. and T. Pantnagar. 

  28. Seth. N. (2015). MGNREGA: its implication in India: A overview. International Journal of Science Technology and Management. 4(1): 327-333.

  29. Thakur, (2011). A Study on MGNREGA and its impact on wage and work relation. Project report, M.Sc. Tata institute of social sciences, Deonar, Mumbai.

  30. Thomas, B., Bhatia, R. (2012). Impact of NREGA scheme: A study on the overall quality of life of its beneficiaries. Asia- Pacific Journal of Social Sciences. 4(2): 213-227.

Editorial Board

View all (0)