Dr. Sami Ullah is an agricultural economist and applied microeconomist with a PhD in Agricultural Economics from the University of Göttingen, Germany. He served as Assistant Professor at Muhammad Nawaz Sharif University of Agriculture, Multan, where his research focused on agricultural policy, rural development, value chains and smallholder livelihoods. He has contributed to several research projects examining agricultural transformation, market systems and policy impacts in Pakistan. In the SMALLPAK project, Dr. Ullah investigates organizational innovations that can strengthen market access, resilience and food security for smallholder farmers, with a particular focus on the socio-economic realities of rural communities in Punjab.
Research interests
- Agricultural policy analysis and impact assessment
- Smallholder farming systems and rural development
- Agricultural value chains and market access
- Organizational innovations and farmer entrepreneurship
- Farm productivity, efficiency and sustainable agriculture
CV
2026 – present
Post-Doctoral Researcher, SMALLPAK
Muhammad Nawaz Sharif University of Agriculture, Multan, Pakistan
2017 – 2026
Assistant Professor, Department of Agricultural and Resource Economics
Muhammad Nawaz Sharif University of Agriculture (MNSUA), Multan, Pakistan
2017
Visiting Lecturer, Department of Economics
University of Sargodha, Bhakkar Campus, Pakistan
2011 – 2016
PhD in Agricultural Economics
University of Göttingen, Germany
Dissertation on efficiency measurement of dairy farmers under integrated cropping systems in Pakistan
2008 – 2011
Agriculture Officer (Economics & Marketing)
Department of Agriculture, Government of Punjab, Pakistan
2006 – 2008
M.Sc. (Hons.) Development Economics
University of Agriculture, Faisalabad, Pakistan
2002 – 2006
B.Sc. (Hons.) Agricultural Economics
PMAS-Arid Agriculture University, Rawalpindi, Pakistan
Selected publications
Ullah, S., Brummer, B., & Ali, C. I. (2023). Choice between traditional and modern milk supply channels by farmers in Punjab, Pakistan: A logit regression approach. Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development, 23(3), 903–914.
Nazar, H., Ullah, S., Nasir, S., & Bilal, M. (2024). Exploring the potential determinants to favour available entrepreneurial strategies among dairy farmers of Southern Punjab in Pakistan. Journal of Agricultural Education and Extension, 31(1), 79–89.
Ullah, S., Nazar, H., & Bilal, M. (2026). Nexus between strategic entrepreneurship and herd size expansion: A study on efficient entrepreneurial approaches in the livestock sector of Pakistan. Agricultural Economics Review, 27(1), 20–35.
Ullah, S., Brummer, B., & Ahmed, U. I. (2021). Role of extension services in enhancing efficiency of market-oriented dairy farmers: Evidence from Punjab, Pakistan. Sarhad Journal of Agriculture, 37(4), 1314–1322.
Baig, I. A., Ullah, S., & Nasir, S. (2023). Policy impacts on comparative advantage and production protection to cotton and its competing crops in Pakistan. Pakistan Development Review, 62(4), 539–551.
Nadeem, N., Ahmed, U. I., Ali, C. I., Ullah, S., et al. (2024). Impact of Bt. cotton productivity on farmers’ income in Southern Punjab, Pakistan. Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development, 24(1), 653–660.
Raza, M., Ahmed, U. I., Ullah, S., et al. (2025). Securing rural food security during COVID-19 in Pakistan: The role of social support program. International Journal of Social Sciences Bulletin, 3(7), 658–668.
Rohail, H. U. A., Ali, C. I., Iqbal, M. A., Ullah, S., et al. (2023). Measuring technical efficiency of phalsa production in Multan, Punjab, Pakistan. Custos e Agronegocio On Line, 19(1), 320–336.
Mehmood, W., Ullah, S., Nasir, S., Yasin, M., ur Rehman, A., & Iqbal, M. A. (2023). Consumer awareness and willingness to pay for dried mangoes: Evidence from Punjab, Pakistan. Journal of Economic Impact, 5(1), 100–105.
Razzaq, A., Ahmed, U. I., Hashim, S., Hussain, A., Qadri, S., Ullah, S., et al. (2021). An automatic determining food security status: Machine learning based analysis of household survey data. International Journal of Food Properties, 24(1), 726–736.