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Hire Dr. Morteza M.

Iran

USD 20 /hr

Agricultural Economist & Research Analyst | Expert in Agri-Marketing, Data Analysis (SPSS, Stata, EViews) & Food Securit

Profile Summary

Experienced Agricultural Economist and Research Analyst with a strong academic background and a demonstrated history of working in agricultural marketing, food security, and international agri-trade. Currently pursuing a Ph.D. in Agricultural Economics at the University of Tehran, with prior academic ranks of 1st place in Ph.D. and 3rd in M.Sc. national entrance exams. Published over 19 peer-reviewed and conference papers (ISC, Scopus) in areas such as agri-food marketing, export competitiveness, water crisis management, and AI applications in agriculture. Collaborated on national-level research projects with Iran’s Chamber of Commerce, analyzing export price trends and volatility in global markets. Proficient in statistical and econometric analysis using tools like SPSS, Stata, EViews, and Tableau. Currently working as a researcher and economic analyst at the National Food Security Organization, with prior experience teaching international exams (YÖS, SAT, IMAT) since 2019. Strong communication skills, proven leadership in academic communities, and international academic memberships (ISIC, Researchgate). Passionate about sustainable agricultural development, evidence-based policy-making, and innovative market research.

Subject Matter Expertise

• ☆ Farm Management
• ☆ Agricultural Economics
• ☆ Data Analysis
• ☆ Statistics
• ☆ Health Data Analysis
• ☆ SPSS
• ☆ STATA
• ☆ Public Health
• ☆ Food Security
• ☆ Gap Analysis
• ☆ Econometrics

Services

• Writing
• Research
• Data & AI

Writing Technical Writing, Business & Legal Writing, General Proofreading & Editing, Translation

Research Market Research, Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Data & AI Statistical Analysis, Data Visualization, Text Mining & Analytics

Work Experience

University of Tehran

- Present

Education

PhD in Agricultural Economics

University of Tehran

January 2025 - Present

MSc in Agricultural Economics

University of Tehran

January 2023 - January 2025

BSc in Agricultural Economics

University of Tehran

January 2019 - January 2023

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Adeleke, O., Adeleke, H., & Fajobi, D. (2017). Productivity growth, technical progress, and efficiency change in ECOWAS Agriculture 1971-2009: a Three-Year-Window (TYW) Extended Malmquist Approach. International Journal of Innovative Research and Advanced Studies (IJIRAS), 4(5), 409-415. Al-Khars, M., Al-Nasser, A., & Al-Faraj, T. (2022). A Survey of DEA Window analysis applications. Process, 10(9), 1836. DOI: 10.3390/pr10091836. Al-Rafaie, A., Wu, C., & Sawalheh, M. (2019). DEA window analysis for assessing efficiency of blistering process in a pharmaceutical industry. Neural Computing and Applications, 31, 3703-3717. Asadpour, H. (2016). Determining the technical, allocative, and economic efficiency of rapeseed producers and factors affecting their inefficiency in Mazandaran province. Agricultural Economics and Development, 24(1), 111-135. DOI: 10.30490/aead.2016.59024. [In Persian] Asadpour, H. (2015). Analyzing the technical, allocative and economic efficiency of rapeseed producers and factors affecting their inefficiency in Mazandaran province. Agricultural Economics Research, 24(93), 111-135. [In Persian] Asmild, M., Paradi, J., Aggarwall, V., & Schaffnit, C. (2004). Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking industry. International Journal of Banking and Finance, 32(21), 67-89. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiences in data envelopment analysis. Managememt Science, 30(9), 1078-1091. Babaei, M., Paknejhad, M., Mardani, M., & Salarpour, M. (2011). Analysis of agricultural crops efficiency in Jahrom using interval data envelopment analysis (IDEA). Journal of Operation Research and Its Applications, 4(35), 43-55. [In Persian] Bournaris, T., Vlontzos, G., & Moulogianni, C. (2019). Efficiency of vegetables produced in glasshouses: the impact of Data Envelopment Analysis (DEA) in land management decision making. Journal of Land, 8(1), 17. DOI: 3390/land8010017. Charnes, A., Clark, C., Cooper, W., & Golany, B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air forces. Annals of Operations Research, 2(1), 95-112. Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiencies of DMUs. European Journal of Operational Research, 2(6), 429-444. Chivu, L., Vasile, J., Zaharia, M., & Gogone, R. (2020). A regional agricultural efficiency convergence assessment in Romania – Appraising differences and understanding potentials. Land Use Policy, 99, Dargahi, M. , Jahan, M. , Naseripour Yazdi, M., & Ghorbani, R. (2016). Energy balance evaluation and economic analysis of canola production in Golestan province. Applied Field Crops Research, 29(3), 50-62. DOI: 10.22092/aj.2016.112697. [In Persian] Dashti, G., Baghban Adami, R., & Hayati, B. (2023). Energy efficiency in rapeseed production in Tabriz County: application of stochastic frontier analysis and energy index. Mechanization of Agriculture, 8(4), 53-65. DOI: 10.22034/jam.2024.60809.1273. [In Persian] Dashti, Gh., Rashidghalam, M., & Pishbahar, M. (2016). Application of modified non-parametric models in technical efficiency of Iran’s sugar beet production. Journal of Agricultural Economics and Development, 31(2), 157-169. [In Persian] Dashti, Gh., Mohammadpour, Z., & Ghahremanzadeh, M. (2020). Evaluating the relationship between economic and environmental efficiency in Iranian agriculture sector. Journal of Agricultural Science and Sustainable Production, 30(4), 199-211. DOI: 10.22034/saps.2020.12312. [In Persian] Eskandari, H., & Alizadeh-Amraei, A. (2017). Effect of complementary irrigation during reproductive growth period on grain yield, oil and energy efficiency of rapeseed under dry land farming system. Journal of Crop Improvement, 4(18), 907-919. [In Persian] Farrel, M. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-290. Hao, C., Xiaohong, W., & Baosheng, Z. (2013). Evaluation of scientific research efficiency of universities in China based on window analysis model. Science Research Management, 7, 101-111. Hassan Shah, W., Nan, Z., Gang, H., Hong, Y., & Rizwana, Y. (2024). Energy efficiency evaluation, technology gap ratio, and determinants of energy productivity change in developed and developing G20 economies: DEA super-SBM and MLI approaches. Gondwana Research, 125, 70-81. DOI: 10..1016/j.gr.2023.07.017. Komivi, D., Donghua, L., Linhai, W., Xiaomin, Z., Aili, L., Jingyin, Y., Xin, W., Rong, Z., Daniel, F., Diaga, D., Boshou, L., Ndiaga, C., & Xiurong, Z. (2017). Transcriptomic, biochemical and physio-anatomical investigations shed more light on responses to drought stress in two contrasting sesame genotypes. Journal of Scientific Reports, 7, MAJ (2022a). Statistics of rapeseed production in Iran. Ministry of Agriculture-Jahad (MAJ), Tehran. Available at https://www.biamar.maj.ir. [In Persian] MAJ (2022b). Statistics of agricultural production in provinces of Iran. Ministry of Agriculture-Jahad (MAJ), Tehran. Available at https://www.maj.ir. [In Persian] Modhej, D. (2019). Evaluating the efficiency of date production using windowed data envelopment analysis. Agricultural Economics Research, 33(2), 177-190. [In Persian] Mousavi, H., & Khalilian, S. (2005). Analysis of the influencing factors on the technical efficiency of wheat production. Agricultural Economics Research, 13(4), 45-60. [In Persian] Norouzian, M., Hosseini, S. M., Akbari, A., & Dadras-Moghadam, A. (2021). Factors affecting the environmental efficiency of rapeseed farmers in the provinces of Iran (Spatial Econometric Approach). Journal of Agricultural Economics Research, 13(4), 60-77. [In Persian] Pakravan, M., Mehrabi, H., & Shakibaei, A. (2008). Analysis efficiency for rapeseed producers in Sari city. Agricultural Economics Research, 1(4), 77-92. [In Persian] Qi, G., Xiaofeng, Y., Xin, Q., Xinyao, F., Xuefang, W., Fei, M., Liangxiao, Z., Peiwu, L., & Li, Y. (2024). A study of the pesticide residues in rapeseed in China: levels, distribution and health risk assessment. Environmental Research, 264. Rasooli, S. , Naseri Yazdi, M. T., & Ghorbani, R. (2016). Determining prediction model of the canola) Brassica napus L.( yields based on agrometeorological and climatic parameters in Mashhad region of Iran. Water and Soil, 30(4), 1322-1333. DOI: 10.22067/jsw.v30i4.45336. [In Persian] Sardar Shahraki, A., Aliahmadi, N., & Layani, Gh. (2019). Evaluating the efficiency and productivity of grapevine gardens in Sistan region. Iranian Journal of Agricultural Economics and Development Research, 50(1), 45-63. DOI: 10.22059/ijaedr.2018.244523.668509. [In Persian] Sefeedpari, P., Shokoohi, Z., & Pishgar-Komleh, H. (2020). Dynamic energy efficiency assessment of dairy farming system in Iran: application of window data envelopment analysis. Journal of Cleaner Production, 275(9), 124178. DOI: 1016/j.jclepro.2020.124178. Shabani, A., Kamgar Haghighi, A. A., Sepaskhah, A. R., Emam, Y., Yahya, M., & Honar, T. (2011). The effect of water stress on seed yield, yield components, and quality of autumn rapeseed (Brassica napus L.) cultivar Licord. Iranian Journal of Crop Sciences, 12(4), 409-421. [In Persian] Shahnavazi, A. (2021). Evaluation of rapeseed production efficiency in Iran. Applied Crop Research, 34(2), 55-74. DOI: 10.22092/aj.2021.127366.1422. [In Persian] Shahnavazi, A. (2020). Determining the efficiency of potato production in Iran. Agricultural Economics Research, 12(3), 151-188. [In Persian] Shahraki, A. S., & Aliahmadi, N. (2021). Presenting a new technique to assess the efficiency of farms with Window-DEA and Malmquist productivity index: the case of barley farms in Khash County, Iran. International Journal of Agricultural Management and Development, 11(1), 49-64. DOI: 10.22004/ag.econ.335146. Shirani-Rad, A., & Ahmadi, M. (1996). The effect of planting date and plant density on the growth process and seed yield of two varieties of autumn rapeseed (Brassica napus L.) in Karaj region. Journal of Iranian Agricultural Sciences, 1(0), 1273. [In Persian] Song, K. (2022). Modelling the climate change in regional crop production efficiency in Canada: based on the super-efficiency SBM model and DEA window analysis. International Journal of Global Warming, 26(4), 333-360. Suzigan, L., Peña, C., & Guarnieri, P. (2020). Eco-efficiency assessment in agriculture: a literature review focused on methods and indicators. Journal of Agricultural Science, 12(7), 118. DOI:5539/jas.v12n7p118. Vlontzos, G., & Pardalos, P. (2017). Assess and prognosticate greenhouse gas emissions from agricultural production of EU countries, by implementing DEA Window analysis and artificial neural networks. Renewable and Sustainable Energy Reviews, 76, 155-162. Wu, D., Wang, Y., & Qian, W. (2020). Efficiency evaluation and dynamic evolution of China’s regional green economy: a method based on the Super-PEBM model and DEA window analysis. Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2020.121630. Zhan, J., Zhang, F., Li, Z., Zhang, Y., & Qi, W. (2020). Evaluation of food security based on DEA method: a case study of Heihe River Basin. Annals of Operations Research, 219, 697-706. DOI: 10.1007/s10479-018-2889-9 .

مرتضی میدیان, آرش دوراندیش (2024). اولویت بندی بازارهای هدف زعفران ایران بر اساس شاخص‌های رقابت بازاری . اقتصاد و توسعه کشاورزی.

MAGAZINE ARTICLE

Export of agricultural products is one of the strategies of export development and sustainable economic growth in developing countries. Since Iran has been among the top four countries in the world in pistachio exports in recent years, the purpose of this study is to compare the structure of the world market of this product as two links of the pistachio supply chain and to calculate the revealed relative advantage of their exports in the world and countries The goal of Iran was determined. Based on the results, the structure of the global product market in the period of 2012-2018, despite the high share of the top four market powers, has been a closed multilateral monopoly in most years, which indicates the small share of most competitors and high competition between them. But due to the large share and the stability of market leadership, the possibility of taking the share of big countries for small competitors is small. Therefore, it is suggested that Iran, with an average share of 26% in the pistachio market, should prioritize a number of markets in which it has more competitive power for penetration, market development and branding. On average, pistachio exports to the countries of China, Russia, India, Turkey, Pakistan, Italy, and Kazakhstan have had the greatest relative advantage for Iran, which is suggested to include a number of markets in which, based on the relative advantage index, the competitive power has been revealed and has stability, including the Russian, Indian, Kazakhstan markets to prioritize penetration, market development and branding. It is worth mentioning that, due to the higher relative advantage of pistachio compared to other products, its higher added value, the possibility of more branding and the ability to store and transport, it is recommended to develop investment in transformation industries and complete the supply and marketing chain. The development of pistachio export market should be prioritized in the country .