The study aims to develop a robust scale for assessing farmers’ satisfaction levels, emphasizing personal, quality, and cost parameters within India’s agricultural sector. Comprehensive data is gathered from agricultural workers across diverse districts in Andhra Pradesh, India, through surveys and interviews. The research unfolds in two phases: an initial qualitative exploration is done to identify factors that drive motivation and engagement in farming, followed by a questionnaire distributed to 431 respondents in the subsequent phase. The investigation underscores the pivotal role of personal factors and the quality and pricing of production factors in ensuring the sustainability of agriculture. The strategic insights derived from this study hold immense value for agricultural managers and leaders, providing an understanding of motivation and engagement dynamics among farmers. These findings bear significant implications for policymaking at both country and state levels, facilitating the formulation of innovative agricultural policies and programs. Specifically, this research offers guidance for designing supportive financial strategies, such as support prices and input assistance measures, aimed at boosting farmers’ morale and participation.
AkhtarS., AbbasA., FaisalM., RazaM. H., SamieA., YuM., & LovellA. (2023). Roles of personal, household, physical, and institutional factors on farmers’ efficiency of hybrid maize production: Implications for food security. Agriculture, 13(9), 1840. https://doi.org/10.3390/agriculture13091840
2.
AltieriM. A., & NichollsC. I. (2017). The adaptation and mitigation potential of traditional agriculture in a changing climate. Climatic Change, 140(1), 33–45. https://doi.org/10.1007/s10584-013-0909-y
3.
ArnoldsC. A., & BoshoffC. (2002). Compensation, esteem valence and job performance: An empirical assessment of Alderfer’s ERG theory. The International Journal of Human Resource Management, 13(4), 697–719. https://doi.org/10.1080/09585190210125868
4.
Bassett-JonesN., & LloydG. C. (2005). Does Herzberg’s motivation theory have staying power?Journal of Management Development, 24(10), 929–943. https://doi.org/10.1108/02621710510627064
5.
BinswangerH. P., & RosenzweigM. R. (1986). Behavioural and material determinants of production relations in agriculture. Journal of Development Studies, 22(3), 503–539. https://doi.org/10.1080/00220388608421994
6.
ConsentinoF., VindigniG., SpinaD., MonacoC., & PeriI. (2023). An agricultural career through the lens of young people. Sustainability, 15(14), 11148. https://doi.org/10.3390/su151411148
7.
Economic Survey. (2020). Odisha economic survey.
8.
FoundjemT. D., D’HaeseM., DegrandeA., TchoundjeuZ., & Van DammeP. (2011). Farmers’ satisfaction with group market arrangements as a measure of group market performance: A transaction cost analysis of Non Timber Forest Products’ producer groups in Cameroon. Forest Policy and Economics, 13(7), 545–553. https://doi.org/10.1016/j.forpol.2011.07.005
9.
GhouseS. M., McElweeG., & DurrahO. (2019). Entrepreneurial success of cottage-based women entrepreneurs in Oman. International Journal of Entrepreneurial Behavior & Research, 25(3), 480–498. https://doi.org/10.1108/IJEBR-10-2018-0691
10.
HackettG., & BetzN. E. (1995). Self-efficacy and career choice and development. In Self-efficacy, adaptation, and adjustment. The plenum series in social/clinical psychology (pp. 249–280). Springer. https://doi.org/10.1007/978-1-4419-6868-5_9
11.
HairJ. F., MatthewsL. M., MatthewsR. L., & SarstedtM. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. https://doi.org/10.1504/ijmda.2017.10008574
12.
HartmanS. J., & HarrisO. J. (1992). The role of parental influence in leadership. The Journal of Social Psychology, 132(2), 153–167. https://doi.org/10.1080/00224545.1992.9922968
13.
HenselerJ., RingleC. M., & SarstedtM. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
14.
HerreraS. B., Gerster-BentayaM., & KnierimA. (2022). Measuring farmers’ well-being: Influence of farm-level factors on satisfaction with work and quality of life. Journal of Agricultural Economics, 73(2), 452–471. https://doi.org/10.1111/1477-9552.12457
15.
HuG., WangJ., FahadS., & LiJ. (2023). Influencing factors of farmers’ land transfer, subjective well-being, and participation in agri-environment schemes in environmentally fragile areas of China. Environmental Science and Pollution Research, 30(2), 4448–4461. https://doi.org/10.1007/s11356-022-22537-4
16.
JarialS. (2022). Internet of Things application in Indian agriculture, challenges and effect on the extension advisory services—A review. Journal of Agribusiness in Developing and Emerging Economies. https://doi.org/10.1108/JADEE-05-2021-0121
17.
KassemH. S., AlotaibiB. A., MuddassirM., & HerabA. (2021). Factors influencing farmers’ satisfaction with the quality of agricultural extension services. Evaluation and Program Planning, 85, 101912. https://doi.org/10.1016/j.evalprogplan.2021.101912
18.
KhuranaS., HaleemA., LuthraS., & MannanB. (2021). Evaluating critical factors to implement sustainable oriented innovation practices: An analysis of micro, small, and medium manufacturing enterprises. Journal of Cleaner Production, 285, 125377. https://doi.org/10.1016/j.jclepro.2020.125377
19.
KumarH. M. V., ChauhanN. B., PatelD. D., & PatelJ. B. (2019). Predictive factors to avoid farming as a livelihood. Journal of Economic Structures, 8(1), 10. https://doi.org/10.1186/s40008-019-0141-7
20.
LentR. W., BrownS. D., & HackettG. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027
21.
LentR. W., BrownS. D., & HackettG. (2002). Social cognitive career theory. In Career choice and development (pp. 255–311). Jossey-Bass.
22.
MarkovitsY., DavisA. J., & van DickR. (2007). Organizational commitment profiles and job satisfaction among Greek private and public sector employees. International Journal of Cross Cultural Management, 7(1), 77–99. https://doi.org/10.1177/1470595807075180
23.
MaslowA. H. (1958). A dynamic theory of human motivation. In Understanding human motivation. (pp. 26–47). Howard Allen Publishers. https://doi.org/10.1037/11305-004
24.
McGuireJ., MortonL. W., & CastA. D. (2013). Reconstructing the good farmer identity: Shifts in farmer identities and farm management practices to improve water quality. Agriculture and Human Values, 30(1), 57–69. https://doi.org/10.1007/s10460-012-9381-y
25.
MishraP. C., PanigrahiR. R., & SamantarayA. (2022). Impact of commercial, financial and corporate affairs on operational excellence of the Indian mining industry. International Journal of Lean Six Sigma, 14(4), 844–863. https://doi.org/10.1108/IJLSS-02-2022-0040
26.
MishraP. C., PanigrahiR. R., & ShrivastavaA. K. (2023). Geo-environmental factors’ influence on mining operation: An indirect effect of managerial factors. Environment, Development and Sustainability, 26, 14639–14663. https://doi.org/10.1007/s10668-023-03211-2
27.
OthmanA. K., AbidinA. Z., IdrusZ., CheB., RosolM., HusnaI., JaafarN., HussinM. N., SyuhaidiM., BakarA., & IsmahaniniW. (2022). University staff happiness during COVID-19 pandemic: A comparative analysis between staff who work from office and work from home. Australian Journal of Basic and Applied Sciences, 16(7), 1–7. https://doi.org/10.22587/ajbas.2022.16.7.1.ABSTRACT
28.
RazaA., TongG., SikandarF., ErokhinV., & TongZ. (2023). Financial literacy and credit accessibility of rice farmers in Pakistan: Analysis for central Punjab and Khyber Pakhtunkhwa regions. Sustainability, 15(4), 2963. https://doi.org/10.3390/su15042963
29.
RitterC., AdamsC. L., KeltonD. F., & BarkemaH. W. (2019). Factors associated with dairy farmers’ satisfaction and preparedness to adopt recommendations after veterinary herd health visits. Journal of Dairy Science, 102(5), 4280–4293. https://doi.org/10.3168/jds.2018-15825
30.
SadeghiA., BijaniM., & FarhadianH. (2020). The mediating role of farmers’ time perspective in water resources exploitation behaviour in the eastern area of Lake Urmia, Iran: An environmental psychological analysis. Water and Environment Journal, 34(S1), 106–120. https://doi.org/10.1111/wej.12510
31.
SantosJ. R. A. (1999). Cronbach’s alpha: A tool for assessing the reliability of scales. Journal of Extension, 37, 88–92.
32.
SchulzeS. D., IsabellS. W., & KühlS. (2022). Agricultural E-commerce: Attitude segmentation of farmers. Computers and Electronics in Agriculture, 197, 106942. https://doi.org/10.1016/j.compag.2022.106942
33.
SimõesE., SaraivaM., BaschG., PiresA. R., RosaÁ., & ChaletaE. (2020). Hybrid conceptual model for assessing quality, production and satisfaction (SQual4Agri), in agricultural production units, in Cape Verde. Sustainability, 13(1), 37. https://doi.org/10.3390/su13010037
34.
StaboulisC., NatosD., GkatsikosA., TsakiridouE., MattasK., BojarW., BaranowskiP., KrzyszczakJ., RiveroO. P., & RoldánÁ. O. (2022). Assessing the role of the young farmer scheme in the export orientation of greek agriculture. Sustainability, 14(6), 3287. https://doi.org/10.3390/su14063287
35.
TangL., LuoX., YuW., & HuangY. (2020). The effect of political participation and village support on farmers happiness. Journal of Chinese Political Science, 25(4), 639–661. https://doi.org/10.1007/s11366-020-09680-w
36.
TruongD. D. (2022). Farming households’ satisfaction with quality of agricultural extension services: A case study of Quang Binh Province, Vietnam. Frontiers in Sustainable Food Systems, 5, 779477. https://doi.org/10.3389/fsufs.2021.779477
