Socio-Economic Determinants of Agriculture Households in Punjab: A Principal Component Analysis

Authors

  • Bhartendu Yadav Assistant Professor, Lovely Professional University, Phagwara-144411, Punjab, India
  • Abhilash Singh Maurya Subject Matter Specialist (Agricultural Extension), Krishi Vigyan Kendra, Palti Khera (Raebareli-II), Uttar Pradesh, India
  • Supriya Associate Professor, Department of Agricultural Economics, ANDUAT, Ayodhya, Uttar Pradesh, India
  • Sarju Narain Associate Professor, Department of Agricultural Extension, BNPG College, Rath, Hamirpur-210431, Uttar Pradesh, India
  • Atin Kumar Assistant Professor, School of Agriculture, Uttaranchal University, Dehradun-248007, Uttarakhand, India

DOI:

https://doi.org/10.48165/IJEE.2026.62107

Keywords:

Principal component analysis, Socio-economic, Sustainability, Agriculture, Punjab

Abstract

The study highlights the socio-economic determinants of agricultural families in Punjab through the main component analysis. A sample of 200 families was surveyed in 2024-25, and ten socio-economic variables were analyzed, including land ownership, income, livestock, education, family size, expansion contact, loan, mechanization, and market access. The suitability of the PCA was confirmed by a clinical test with the Kaiser-Meyer-Olkin value of 0.732 and a significant Bartlett test. The analysis highlights the three major components with more than one Eigenvector value, which cumulatively explain 68.5% of the total variance. The PC1 highlights the relevance of agricultural resources, land, livestock, and income. PC2 emphasizes human and social capital, expansion services, family labour, and education. PC3, institutional and market access, mechanization, obtained loans, and proximity to markets. The multidimensional nature of rural livelihood in Punjab is exposed, where both traditional resources and institutional factors shape domestic results. The study underlines the need for integrated policies emphasizing resource efficiency, human capacity building, and institutional strengthening to ensure inclusive and sustainable agricultural development.

 

 

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References

Amitha, C. D., Karthikeyan, C., Mansingh, J. P., Theodre, R. K., D, S. K., & Patil, S. G. (2023). Socio-economic categorization: A new classification for the present scenario. Indian Journal of Extension Education, 59(3), 38–42.https://epubs.icar.org.in/index.php/IJEE/article/view/136269

Basantaray, A. K., Acharya, S., & Patra, T. (2024). Crop diversification and income of agricultural households in India: An empirical analysis. Discovery Agriculture, 2, 8.https://doi.org/10.1007/s44279-024-00019-0

Chandana, T. S., Praveena, P. L. R. J., Lakshmi, T., Subramanyam, D., & Reddy, B. R. (2022). Sustainable livelihood security of integrated farming systems practicing farmers through different enterprise combinations in Andhra Pradesh. Indian Journal of Extension Education, 59(1), 101–106.https://doi.org/10.48165/IJEE.2023.59121

Dagar, A., & Upadhyay, R. (2022). Factors affecting livelihood security of tribal women in crop-based livelihood activities. Indian Journal of Extension Education, 58(2), 163–166.https://epubs.icar.org.in/index.php/IJEE/article/view/122605

Das, S., Vatta, K., & Priscilla, L. (2024). Income diversity of agricultural households in Punjab and its determinants: Evidence from the NSSO surveys. Agricultural Economics Research Review, 36(2), 189–199.https://doi.org/10.5958/0974-0279.2023.00032.0

De, H. K., Saha, G. S., Mahapatra, A. S., Mohanty, U. L., Rath, D. P., Shasani, S., Sahoo, B., & Panigrahi, A. (2023). Measuring women empowerment in aquaculture: An empirical study. Indian Journal of Extension Education, 59(2), 108–112.

https://epubs.icar.org.in/index.php/IJEE/article/view/132679

Gambardella, C., Parente, R., Ciambrone, A., & Casbarra, M. (2021). A principal components analysis-based method for the detection of Cannabis plants using representation data by remote sensing. Data, 6(10), 108.https://doi.org/10.3390/data6100108

Gulati, A., Roy, R., & Hussain, S. (2021). Performance of agriculture in Punjab. In A. Gulati, R. Roy, & S. Saini (Eds.), Revitalizing Indian agriculture and boosting farmer incomes (pp. 77–112). Springer, Singapore.https://doi.org/10.1007/978-981-15-9335-2_4

Jatav, S. S. (2024). Livelihood diversification and rural household economic security in Uttar Pradesh, India. Indian Journal of Extension Education, 60(3), 7–11.https://doi.org/10.48165/IJEE.2024.60302

Kaur, K., & Kaur, G. (2021). Livelihood security of small and marginal farm households in Punjab. Indian Journal of Economics and Development, 17(2), 376–382.https://www.soed.in/article/343

Kobba, F., Nain, M. S., Singh, R., & Mishra, J. R. (2021). Determinants of entrepreneurial success in farm and non-farm sectors: A comparative analysis. Indian Journal of Agricultural Sciences, 91(2), 269–273.

Kumar, S., Kaur, A., & Smriti. (2023). Socio-economic profile of the farmers in Rupnagar, Punjab, India. The Pharma Innovation Journal, SP 12(12), 2740–2743.https://www.researchgate.net/publication/377463717

Kumari, N., Malik, J. S., & Ghalawat, S. (2020). Assessment of the constraints perceived by self-help group members and impact on their livelihood. Indian Journal of Extension Education, 56(3), 54–59.https://epubs.icar.org.in/ejournal/index.php/IJEE/article/view/106968

Meena, D. C., Dubey, R. K., Pal, R., Dubey, S. K., & Bishnoi, R. (2022). Assessment of farmers’ attitude and social vulnerability to climate change in the semi-arid region. Indian Journal of Extension Education, 58(3), 46–50.https://epubs.icar.org.in/index.php/IJEE/article/view/125086

Meena, D. C., Kumari, M., Kishore, P., & Bangararaju, S. V. (2023). Do socio-economic conditions and personal behaviour influence the adoption of climate change mitigating measures? Indian Journal of Extension Education, 59(2), 22–25.https://epubs.icar.org.in/index.php/IJEE/article/view/132323

Nain, M. S., & Chandel, S. S. (2010). Determinants of farmers’ training need in agri-horti farming system: A study of Doda district of J&K State. Journal of Community Mobilization and Sustainable Development, 5(1), 23–27.

Pal, P. K., Bhutia, P. T., Das, L., Lepcha, N., & Nain, M. S. (2017). Livelihood diversity in family farming in selected hill areas of West Bengal, India. Journal of Community Mobilization and Sustainable Development, 12(2), 172–178.

Pandey, G., & Devi, B. (2023). Determinants of rural households’ income inequality in India. Agricultural Economics Research Review, 36(2), 213–225.https://epubs.icar.org.in/index.php/AERR/article/view/150669

Pani, B. S., & Mishra, D. (2022). Sustainable livelihood security in Odisha, India: A district-level analysis. Regional Sustainability, 3(2), 110–121.

https://www.researchgate.net/publication/362167118

Prakash, P., Kumar, P., Kishore, P., Jaganathan, D., Immanuel, S., & Raj, S. V. (2022). Determinant of access to credit and availing subsidies for protected cultivation in Maharashtra. Indian Journal of Extension Education, 58(2), 167–172.

https://epubs.icar.org.in/index.php/IJEE/article/view/122606

Sarkar, S., Padaria, R. N., Das, S., Das, B., Biswas, G., Roy, D., & Sarkar, A. (2022). Conceptualizing and validating a framework of climate-smart village in flood-affected ecosystem of West Bengal. Indian Journal of Extension Education, 58(2), 1–7.

https://epubs.icar.org.in/index.php/IJEE/article/view/122555

Singariya, M. R. (2013). Principal component analysis of socioeconomic factors and their association with life expectancy in India. The Journal of Economics, 113, 163–172.

Published

2025-12-25

How to Cite

Socio-Economic Determinants of Agriculture Households in Punjab: A Principal Component Analysis (B. Yadav, A. S. Maurya, Supriya, S. Narain, & A. Kumar, Trans.). (2025). Indian Journal of Extension Education, 62(1), 41-47. https://doi.org/10.48165/IJEE.2026.62107