Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. https://doi.org/10.1109/TAC.1974.1100705
Bellemare, M. F. (2012). As you sow, so shall you reap: The welfare impacts of contract farming. World Development, 40(7), 1418–1434. https://doi.org/10.1016/j.worlddev.2011.12.008
Bellemare, M. F., & Bloem, J. R. (2018). Does contract farming improve welfare? A review. World Development, 112, 259–271. https://doi.org/10.1016/j.worlddev.2018.08.018
Belsley, D. A., Kuh, E., & Welsch, R. E. (2005). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons. https://doi.org/10.1002/0471725153
Birkmann, J., Liwenga, E., Pandey, R., Boyd, E., Djalante, R., Gemenne, F., Leal Filho, W., Pinho, P. F., Stringer, L., & Wrathall, D. (2022). Poverty, livelihoods and sustainable development. In H.-O. Pörtner, D. C. Roberts, M. Tignor, E. S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, & B. Rama (Eds.), Climate change 2022: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 1171–1284). Cambridge University Press. https://doi.org/10.1017/9781009325844.010
Brant, R. (1990). Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, 46(4), 1171–1178. https://doi.org/10.2307/2532457
Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. https://doi.org/10.2307/1911963
Buchinsky, M. (1998). Recent advances in quantile regression models: A practical guideline for empirical research. Journal of Human Resources, 33(1), 88–126. https://doi.org/10.2307/146316
Cameron, A. C., & Miller, D. L. (2015). A practitioner's guide to cluster-robust inference. Journal of Human Resources, 50(2), 317–372. https://doi.org/10.3368/jhr.50.2.317
Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using Stata (Revised ed.). Stata Press.
Carifio, J., & Perla, R. J. (2007). Ten common misunderstandings, misconceptions, persistent myths and urban legends about Likert scales and Likert response formats and their antidotes. Journal of Social Sciences, 3(3), 106–116. https://doi.org/10.3844/jssp.2007.106.116
Chambers, R. (1989). Vulnerability, coping and policy – Introduction. IDS Bulletin, 20(2), 1–7. https://doi.org/10.1111/j.1759-5436.1989.mp20002001.x
Cribari-Neto, F. (2004). Asymptotic inference under heteroskedasticity of unknown form. Computational Statistics & Data Analysis, 45(2), 215–233. https://doi.org/10.1016/S0167-9473(02)00366-3
Eastwood, R., Lipton, M., & Newell, A. (2010). Farm size. In P. Pingali & R. Evenson (Eds.), Handbook of agricultural economics (Vol. 4, pp. 3323–3397). Elsevier. https://doi.org/10.1016/S1574-0072(09)04065-1
Esmailnejad, M., & Hamidianpour, M. (2022). Investigating the living experience of smallholder farmers and climate risk adaptation strategies: Case study of Qaenat saffron farmers. Journal of Saffron Research, 9(2), 368–382. [in Persian]. https://doi.org/10.22077/jsr.2021.4386.1161
Farzanegan, M. R., & Gutmann, J. (2024). International sanctions and internal conflict: The case of Iran (ILE Working Paper Series No. 82). https://doi.org/10.2139/ssrn.5073466
Fischer, H. W., & Chhatre, A. (2016). Assets, livelihoods, and the 'profile approach' for analysis of differentiated social vulnerability in the context of climate change. Environment and Planning A: Economy and Space, 48(4), 789–807. https://doi.org/10.1177/0308518X15623278
Fu, H., Zhang, Y., An, Y., Zhou, L., Peng, Y., Kong, R., & Turvey, C. G. (2021). Subjective and objective risk perceptions and the willingness to pay for agricultural insurance: Evidence from an in-the-field choice experiment in rural China. The Geneva Risk and Insurance Review, 47(1), 98–121. https://doi.org/10.1057/s10713-021-00071-6
Ghorbani, M. (2008). The efficiency of saffron's marketing channel in Iran. World Applied Sciences Journal, 4(4), 523–527.
Greene, W. H., & Hensher, D. A. (2010). Modeling ordered choices: A primer. Cambridge University Press. https://doi.org/10.1017/CBO9780511845062
Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change — A case study in Mozambique. Global Environmental Change, 19(1), 74–88. https://doi.org/10.1016/j.gloenvcha.2008.11.002
Hardaker, J. B., Lien, G., Anderson, J. R., & Huirne, R. B. (2015). Coping with risk in agriculture: Applied decision analysis (3rd ed.). CABI. https://doi.org/10.1079/9781780645742.0000
Harvey, C. A., Rakotobe, Z. L., Rao, N. S., Dave, R., Razafimahatratra, H., Rabarijohn, R. H., Rajaofara, H., & MacKinnon, J. L. (2014). Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1639), 20130089. https://doi.org/10.1098/rstb.2013.0089
Hatefi Farajian, M. H., Rezvani Moghaddam, P., & Khorramdel, S. (2023). Investigating the situation of saffron farmers and agricultural factors effective in saffron yield in Khorasan provinces. Journal of Saffron Research, 11(2), 362–380. [in Persian]. https://doi.org/10.22077/jsr.2023.6859.1228
Helfand, S. M., & Taylor, M. P. (2021). The inverse relationship between farm size and productivity: Refocusing the debate. Food Policy, 99, 101977. https://doi.org/10.1016/j.foodpol.2020.101977
Hinkel, J. (2011). "Indicators of vulnerability and adaptive capacity": Towards a clarification of the science–policy interface. Global Environmental Change, 21(1), 198–208. https://doi.org/10.1016/j.gloenvcha.2010.08.002
Intergovernmental Panel on Climate Change. (2014). Climate change 2014: Synthesis report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC. https://www.ipcc.ch/report/ar5/syr
Jones, L., & d'Errico, M. (2019). Whose resilience matters? Like-for-like comparison of objective and subjective evaluations of resilience. World Development, 124, 104632. https://doi.org/10.1016/j.worlddev.2019.104632
Kalantari, K., Asadi, A., Mirjalali Filabi, M., & Lavaei Adaryani, R. (2021). Analysis of saffron production challenges from the perspective of saffron farmers in Mashhad County. Journal of Saffron Research, 9(1), 177–193. [in Persian]. https://doi.org/10.22077/jsr.2020.3087.1120
Kheiri, M., Kambouzia, J., Soufizadeh, S., Damghani, A. M., Sayahnia, R., & Azadi, H. (2024). Assessing vulnerability to climate change among farmers in northwestern Iran: A multi-dimensional approach. Ecological Informatics, 82, 102669. https://doi.org/10.1016/j.ecoinf.2024.102669
Koenker, R., & Bassett, G., Jr. (1978). Regression quantiles. Econometrica, 46(1), 33–50. https://doi.org/10.2307/1913643
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143–156. https://doi.org/10.1257/jep.15.4.143
Koocheki, A., & Khajeh-Hosseini, M. (Eds.). (2020). Saffron: Science, technology and health (pp. 33–58). Woodhead Publishing. https://doi.org/10.1016/C2018-0-04252-8
Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. https://doi.org/10.1080/01621459.1952.10483441
Larch, M., Luckstead, J., & Yotov, Y. V. (2024). Economic sanctions and agricultural trade. American Journal of Agricultural Economics, 106(4), 1477–1517. https://doi.org/10.1111/ajae.12473
Long, J. S., & Freese, J. (2014). Regression models for categorical dependent variables using Stata (3rd ed.). Stata Press.
Lowder, S. K., Skoet, J., & Raney, T. (2016). The number, size, and distribution of farms, smallholder farms, and family farms worldwide. World Development, 87, 16–29. https://doi.org/10.1016/j.worlddev.2015.10.041
MacKinnon, J. G., & White, H. (1985). Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics, 29(3), 305–325. https://doi.org/10.1016/0304-4076(85)90158-7
Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge University Press.
McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–127. https://doi.org/10.1111/j.2517-6161.1980.tb01109.x
McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). Academic Press.
McKelvey, R. D., & Zavoina, W. (1975). A statistical model for the analysis of ordinal level dependent variables. Journal of Mathematical Sociology, 4(1), 103–120. https://doi.org/10.1080/0022250X.1975.9989847
Mosala Poor, H., & Tahan, M. (2019). Barriers and problems of exporting saffron and barberry and providing solutions for export expansion (Case study: South Khorasan Province). Journal of Saffron Research, 7(1), 83–97. [in Persian]. https://doi.org/10.22077/jsr.2018.1733.1066
Nejatianpour, E., Ghodoosi, M., & Hasanpour, J. (2018). Application of risk profile in saffron risk management. Saffron Agronomy and Technology, 6(4), 513–529. [in Persian]. https://doi.org/10.22048/jsat.2018.92906.1249
Norman, G. (2010). Likert scales, levels of measurement and the "laws" of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y
Reardon, T., Timmer, C. P., & Minten, B. (2012). Supermarket revolution in Asia and emerging development strategies to include small farmers. Proceedings of the National Academy of Sciences, 109(31), 12332–12337. https://doi.org/10.1073/pnas.1003160108
RezaeeDaryakenari, B., Asadzade, P., & Thies, C. G. (2024). Economic sanctions and food consumption: Evidence from Iranian households. International Studies Quarterly, 68(3), sqae103. https://doi.org/10.1093/isq/sqae103
Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464. https://doi.org/10.1214/aos/1176344136
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4), 591–611. https://doi.org/10.1093/biomet/52.3-4.591
White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934
Williams, R. (2006). Generalized ordered logit/partial proportional odds models for ordinal dependent variables. The Stata Journal, 6(1), 58–82. https://doi.org/10.1177/1536867X0600600104
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
Yaqubi, M., Yaghoobzadeh, M., & Tosan, M. (2024). Factor analysis and ranking of saffron production, processing and market challenges in Torbat Heydarieh, Iran. Saffron Agronomy & Technology, 12(1), 81–111. [in Persian]. https://doi.org/10.22048/JSAT.2024.436229.1518
