روستا و توسعه

روستا و توسعه

اثرات راهبردهای انطباقی بر امنیت غذایی خانوارهای روستایی در حوضه آبریز بختگان و طشک: کاربرد رویکرد تطبیق نمرات تمایل (PSM)

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار پژوهش، بخش تحقیقات اقتصادی، اجتماعی و ترویجی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان آذربایجان غربی، سازمان تحقیقات، آموزش و ترویج کشاورزی، ارومیه، ایران.
2 استاد بخش اقتصاد کشاورزی، دانشگاه شیراز، شیراز، ایران.
3 دانشیار بخش اقتصاد کشاورزی، دانشگاه شیراز، شیراز، ایران.
چکیده
بخش کشاورزی همواره آسیب‌پذیری بالایی در برابر تغییر اقلیم داشته و این موضوع امنیت غذایی خانوارهای روستایی را تحت تأثیر قرار داده است. در این شرایط، مهمترین اقدام، بکارگیری راهبردهای انطباقی با تغییر اقلیم است. لذا در پژوهش پیش‌رو، اثر اتخاذ اقدامات تطبیقی بر امنیت غذایی با رویکرد تطبیق نمرات تمایل (PSM) و عوامل مؤثر بر اتخاذ راهبردهای تطبیقی با بهره‌گیری از مدل‌ پروبیت چندمتغیره در سطح حوضه آبریز بختگان و طشک مورد مطالعه قرار گرفت. در این راستا، نمونه‌ای متشکل از 300 زارع جهت مصاحبه و جمع‌آوری داده‌های مورد نیاز خانوار با روش نمونه‌گیری چندمرحله‌ای در حوضه آبریز بختگان و طشک انتخاب شدند. نتایج رویکرد تطبیق نمرات تمایل نشان داد که چنانچه زارعین، راهبردهای تطبیقی تنوع فعالیت‌های معیشتی، نوین­ سازی سیستم‌های آبیاری، احداث استخرهای آبیاری و استفاده از ارقام اصلاح­ شده با نیاز آبی کم را اتخاذ نمایند، کالری روزانه دریافتی خانوارهای نمونه به ترتیب حدود 219/85، 182، 137/82 و 83/23 کالری افزایش می‌یابد. بنابراین، مهمترین راه‌ حل جهت تعدیل پیامدهای منفی تغییر اقلیم بر ناامنی غذایی، تنوع‌بخشی فعالیت‌های معیشتی است. همچنین نتایج حاصل از مدل‌ پروبیت چندمتغیره نشان داد که سن زارع، تحصیلات زارع، بعد خانوار، درآمد خانوار زارع، دسترسی به اعتبارات، دسترسی به آب آبیاری، مالکیت ماشین‌آلات کشاورزی، دسترسی به خدمات ترویج کشاورزی، تعداد محصولات کشت شده و کیفیت خاک به‌عنوان تعیین‌کننده‌های معنی‌دار راهبردهای تطبیقی محسوب می‌شوند. ازاین‌رو، پیشنهاد می‌شود که نتایج پژوهش به‌ویژه اثرات اتخاذ راهبردهای تطبیقی با تغییر اقلیم بر امنیت غذایی در تدوین برنامه‌های ملی امنیت ‌غذایی مدنظر قرار گیرد.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

The Effects of Adaptation Strategies on Rural Household Food Security in Bakhtegan-Tashk Basin: Application of Propensity Score Matching (PSM) Approach

نویسندگان English

N. Kargar Dehbidi 1
M. Zibaei 2
M.H. Tarazkar 3
1 Assistant Professor, Economic, Social and Extension Research Department, West Azerbaijan Agricultural and Natural Resources Research and Education Center (AREEO), Urmia, Iran.
2 Professor of Agricultural Economics, Shiraz University, Shiraz, Iran.
3 Associate Professor of Agricultural Economics, Shiraz University, Shiraz, Iran.
چکیده English

Introduction
Food security is a multi-dimensional phenomenon that occurs when all people have physical, economic, and social access to sufficient and safe food for an active and healthy life at any time. On the other hand, food insecurity imposes a significant burden on society through healthcare and social costs. The achievement of food security is one of the most important national and international development concerns. Hence, one of the most important ways to improve food security is to pay special attention to the agricultural sector. However, this sector is the most vulnerable to the consequences of climate change, which ranks first among the ten most dangerous human phenomena. Therefore, it is essential to adopt appropriate strategies to mitigate the effects of climate change on food insecurity.
Materials and Methods
In this paper, the impact of adopting climate change adaptation strategies on food security was studied using the Propensity Score Matching (PSM) approach. Factors influencing the adoption of climate change adaptation strategies were studied using a multi-variable probit model in Bakhtegan-Tashk basin. A total of 300 farmers were selected using a multi-stage sampling method in the Bakhtegan-Tashk basin.
Results and Discussion
The results of the Propensity Score Matching (PSM) approach showed that if farmers adopt climate change adaptation strategies such as diversification of livelihood activities, modern irrigation systems, construction of irrigation ponds, and use of low-water-need varieties, the household calorie intake of the sample households would increase by approximately 219.85, 182, 137.82, and 83.23 calories, respectively. Furthermore, the results of the multi-variable Probit model showed that the age of the farmer, education level, household size, household income, access to credit, irrigation water supply, ownership of agricultural machinery, access to agricultural extension services, number of crops planted, and soil quality are considered significant determinants of adaptive strategies.
Conclusions
According to the results, the most important solution to mitigate the negative consequences of climate change on food insecurity is to adopt the diversification of livelihood activities. It is therefore recommended that the research results, especially the effects of adopting adaptive strategies to climate change on food security, be taken into account in the formulation of national food security programs.

کلیدواژه‌ها English

Adaptation Strategies
Propensity Score Matching Method
Multivariable Probit
Bakhtegan-Tashk Basin
  1. Al-Amin, A.Q., & Ahmed, F. (2016). Food security challenge of climate change: An analysis for policy selection. Futures83, 50-63. https://doi.org/1016/j.futures.2016.04.002.
  2. Alcon, F., Navarro, N., de-Miguel, M.D. & Balbo, A.L. (2019). Drip irrigation technology: Analysis of adoption and diffusion processes. Sustainable Solutions for Food Security, 5, 269-285. https://doi.org/1007/978-3-319-77878-5_14.
  3. Alhassan, H. (2020). Farm households' flood adaptation practices, resilience and food security in the Upper East region, Ghana. Heliyon6(6), 1-8. https://doi.org/10.1016/j.heliyon.2020.e04167.
  4. Alhassan, H., Kwakwa, P.A. & Adzawla, W. (2019). Farmers choice of adaptation strategies to climate change and variability in arid region of Ghana. Review of Agricultural and Applied Economics, 22(1), 32-40. https://doi.org/22004/ag.econ.285928.
  5. Ali, A. (2017). Coping with climate change and its impact on productivity, income, and poverty: evidence from the Himalayan region of Pakistan. International Journal of Disaster Risk Reduction24, 515-525. https://doi.org/1016/j.ijdrr.2017.05.006.
  6. Ali, A., & Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Climate Risk Management16, 183-194. https://doi.org/1016/j.crm.2016.12.001.
  7. Ali, A., Rahut, D.B. & Mottaleb, K.A. (2018). Improved water-management practices and their impact on food security and poverty: Empirical evidence from rural Pakistan. Water Policy20(4), 692-711. https://doi.org/2166/wp.2018.044.
  8. Amare, A., & Simane, B. (2017). Assessment of household food security in the face of climate change and variability in the Upper Blue-Nile of Ethiopia. Journal of Agricultural Science and Technology, 7, 285-300. https://doi.org/17265/2161-6264/2017.04.006.
  9. Amare, A., & Simane, B. (2018). Does adaptation to climate change and variability provide household food security? Evidence from Muger sub-basin of the upper Blue-Nile, Ethiopia. Ecological Processes, 7(1), 13-24. https://doi.org/1186/s13717-018-0124-x.
  10. Antle, J.M., Zhang, H., Mu, J.E., Abatzoglou, J. & Stöckle, C. (2018). Methods to assess between-system adaptations to climate change: Dryland wheat systems in the Pacific Northwest United States. Agriculture, Ecosystems & Environment, 253, 195-207. https://doi.org/1016/j.agee.2017.03.017.
  11. Arpino, B. (2018). Propensity Score Matching with Clustered Data. Spanish Stata Conference. 1-37.
  12. Barasa, P. M., Botai, C.M., Botai, J.O. & Mabhaudhi, T. (2021). A review of climate-smart agriculture research and applications in Africa. Agronomy11(6), 1-26. https://doi.org/3390/agronomy11061255.
  13. Barros, V.R., & Field, C.B. (2014). Climate change 2014 impacts, adaptation, and vulnerability. Part B: regional aspects. Cambridge University Press.
  14. Bedeke, S., Vanhove, W., Gezahegn, M., Natarajan, K. & Van Damme, P. (2019). Adoption of climate change adaptation strategies by maize-dependent smallholders in Ethiopia. NJAS-Wageningen Journal of Life Sciences88, 96-104. https://doi.org/1016/j.njas.2018.09.001.
  15. Berhe, M., Hoag, D., Tesfay, G., Tadesse, T., Oniki, S., Kagatsume, M. & Keske, C.M. (2017). The effects of adaptation to climate change on income of households in rural Ethiopia. Pastoralism7(1), 1-15. https://doi.org/1186/s13570-017-0084-2.
  16. Brüssow, K., Faße, A. & Grote, U. (2017). Implications of climate-smart strategy adoption by farm households for food security in Tanzania. Food Security, 9(6), 1203-1218. https://doi.org/1007/s12571-017-0694-y.
  17. Chandio, A. A., Ozturk, I., Akram, W., Ahmad, F. & Mirani, A. A. (2020). Empirical analysis of climate change factors affecting cereal yield: evidence from Turkey. Environmental Science and Pollution Research, 27(11), 11944-11957. https://doi.org/1007/s11356-020-07739-y.
  18. Cochran, W.G. (1977). Sampling Techniques. New York: Willey and Son.
  19. Daneshvar, M., & Zibaei, M. (2013). The effects of sprinkler irrigation system on copping with drought in Fars province. Agricultural Economics6(4), 109-125. [In Persian]
  20. De Medeiros Silva, W.K., de Freitas, G.P., Junior, L.M.C., de Almeida Pinto, P.A.L. & Abrahão, R. (2019). Effects of climate change on sugarcane production in the state of Paraíba (Brazil): A panel data approach (1990–2015). Climatic Change154, 195-209. https://doi.org/1007/s10584-019-02424-7.
  21. Dehbidi, N.K., Zibaei, M. & Tarazkar, M.H. (2022). The effect of climate change and energy shocks on food security in Iran's provinces. Regional Science Policy & Practice14(2), 417-438. https://doi.org/1111/rsp3.12517.
  22. Dehinenet, G., Mekonnen, H., Ashenafi, M., Kidoido, M. & GuerneBleich, E. (2014). The impact of dairy technology adoption on small holder dairy farmers livelihoods in selected zones of Amhara and Oromia National Regional States, Ethiopia. Global Journal of Agricultural Economics and Econometrics2(1), 104-113.
  23. Di Falco, S., Veronesi, M. & Yesuf, M. (2011). Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics, 93(3), 829-846. https://doi.org/1093/ajae/aar006.
  24. Elston, J.A., Hofler, R. & Lee, J. (2011). Dividend policy and institutional ownership: Empirical evidence using a propensity score matching estimator. Journal of Accounting and Finance11(1), 89-102.
  25. Engler, A., Jara-Rojas, R. & Bopp, C. (2016). Efficient use of water resources in vineyards: A recursive joint estimation for the adoption of irrigation technology and scheduling. Water Resources Management30(14), 5369-5383. https://doi.org/1007/s11269-016-1493-5.
  26. Erfanifar, S., Zibaei, M. & Kasraei, M. (2014). Identifying socioeconomic factors affecting the adoption of modern conservation tillage technologies in Darab region (Multinomial Logit model approach). Journal of Agricultural Economics & Development, 28(3), 197-203. https://doi.org/22067/jead2.v0i0.26251. [In Persian]
  27. Esfandiari, M., Khalilabad, H.R.M., Boshrabadi, H.M. & Mehrjerdi, M.R.Z. (2020). Factors influencing the use of adaptation strategies to climate change in paddy lands of Kamfiruz, Iran. Land Use Policy95, 1-10. https://doi.org/1016/j.landusepol.2020.104628.
  28. FAO. (2018). The state of food security and nutrition in the World 2018. Available at: https://www.fao price index.com/ (Retrieved at: 20 Nov 2021).
  29. Fetene, M., & Kedir, A. (2024). Irrigation interventions and food security in the case of Ethiopia's East Hararghe lowlands. Journal of Business and Economic Options, 7(1), 39-47.
  30. Gebre, G.G., Amekawa, Y. & Fikadu, A.A. (2023). Farmers′ use of climate change adaptation strategies and their impacts on food security in Kenya. Climate Risk Management40, 100495. https://doi.org/1016/j.crm.2023.100495.
  31. Gebre, G.G., Ashebir, A. & Legesse, T. (2023). Impact of income diversification on rural household food security in Ethiopia. African Journal of Science, Technology, Innovation and Development15(7), 913-922.
  32. Gebrehiwot, H. (2016). The effects of environmental degradation on human security: The case of Erob Wereda, Eastern Tigray Zone Regional State, Ethiopia. Doctoral dissertation, Addis Ababa University, Ethiopia.
  33. Getachew, Y., Jaleta, M. & Gebremedihin, B. (2011). Impact of input and output market development interventions on input use and net income of households in Ethiopia. Journal of Economics and Sustainable Development2(9), 22-33.
  34. Huang, S., Wortmann, M., Duethmann, D., Menz, C., Shi, F., Zhao, C., Su, B. & Krysanova, V. (2018). Adaptation strategies of agriculture and water management to climate change in the Upper Tarim River basin, NW China. Agricultural Water Management, 203, 207-224. https://doi.org/1016/j.agwat.2018.03.004.
  35. Jabbar, A., Wu, Q., Peng, J., Zhang, J., Imran, A. & Yao, L. (2020). Synergies and determinants of sustainable intensification practices in Pakistani agriculture. Land9(4), 1-16. https://doi.org/3390/land9040110.
  36. Jahangirpour, D., & Zibaei, M. (2022). Cropping pattern optimization in the context of climate-smart agriculture: A case study for Doroodzan irrigation network-iran. Journal of Agricultural Economics and Development, 35(4), 407-422. https://doi.org/22067/jead.2021.73325.1095.
  37. Jha, C.K., & Gupta, V. (2021). Farmer’s perception and factors determining the adaptation decisions to cope with climate change: An evidence from rural India. Environmental and Sustainability Indicators10, 1-15. https://doi.org/1016/j.indic.2021.100112.
  38. Kangmennaang, J., Kerr, R.B., Lupafya, E., Dakishoni, L., Katundu, M. & Luginaah, I. (2017). Impact of a participatory agroecological development project on household wealth and food security in Malawi. Food Security9(3), 561-576. https://doi.org/1007/s12571-017-0669-z.
  39. Kassie, M., Teklewold, H., Jaleta, M., Marenya, P. & Erenstein, O. (2015). Understanding the adoption of a portfolio of sustainable intensification practices in Eastern and Southern Africa. Land Use Policy42, 400-411. https://doi.org/1016/j.landusepol.2014.08.016.
  40. Keshavarz, M., & Ejtemaei, B. (2022). Quantity and quality of irrigation water and its effects on the agricultural productivity and sustainability of rural settlements (Case study: Firouzabad plain). Village and Development, 25(1), 129-160. https://doi.org/30490/rvt.2021.351733.1271. [In Persian]
  41. Keshavarzi, A., & Nabavi, S.H. (2007). Dominant discharge in the Kor River, upstream of Dorodzan dam, Fars Province, Iran, Trends in Applied Sciences Research, 2, 158-164.
  42. Khan, N.A., Shah, A.A., Chowdhury, A., Wang, L., Alotaibi, B.A. & Muzamil, M.R. (2024). Rural households' livelihood adaptation strategies in the face of changing climate: A case study from Pakistan. Heliyon10(6). https://doi.org/1016/j.heliyon.2024.e28003.
  43. Khanal, U., & Wilson, C. (2019). Derivation of a climate change adaptation index and assessing determinants and barriers to adaptation among farming households in Nepal. Environmental Science and Policy, 101, 156-165. https://doi.org/1016/j.envsci.2019.08.006.
  44. Kiani, T., Ramesht, M.H., Maleki, A. & Safakish, F. (2017). Analyzing the impacts of climate change on water level fluctuations of Tashk and Bakhtegan Lakes and its role in environmental sustainability. Open Journal of Ecology, 7(2), 158-178. https://doi.org/4236/oje.2017.72012.
  45. Kurukulasuriya, P., Mendelsohn, R., Hassan, R., Benhin, J., Deressa, T., Dip, M., Fosu, K.Y., Jain, S., Mano, R., Molua, E., Ouda, S., Sene, I., Seo, S.N. & Dinar, A. (2006). Will African agriculture survive climate change? World Bank Economic Review, 20(3), 67-88. https://doi.org/1093/wber/lhl004.
  46. Li, S., Juhász-Horváth, L., Pintér, L., Rounsevell, M.D. & Harrison, P.A. (2018). Modelling regional cropping patterns under scenarios of climate and socio-economic change in Hungary. Science of the Total Environment, 622, 1611-1620. https://doi.org/1016/j.scitotenv.2017.10.038.
  47. Mango, N., Siziba, S. & Makate, C. (2017). The impact of adoption of conservation agriculture on smallholder farmers’ food security in semi-arid zones of Southern Africa. Agriculture & Food Security6(1), 1-8. https://doi.org/1186/s40066-017-0109-5.
  48. Mariano, M.J., Villano, R. & Fleming, E. (2012). Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines. Agricultural Systems110, 41-53. https://doi.org/1016/j.agsy.2012.03.010.
  49. Mersha, F., Haji, J., Emana, B. & Mehare, A. (2024). Choices of adaptation strategies to climate variability and its determinants: Evidence from farm households of Benishangul Gumuz Regional State, Western Ethiopia. International Journal of Sustainable Development Research12(1), 56-64. https://doi.org/11648/j.ijsdr.20241002.12.
  50. Motalebani, S., Zibaei, M. & Shekh Zenoldin, A. (2020). Socio-economic factors influencing the adoption of conservation tillage technology. Iranian Journal of Agricultural Economics and Development Research, 51(1), 33-49. https://doi.org/22059/ijaedr.2019.281165.668752. [In Persian]
  51. Mulugeta, M., Tiruneh, G. & Alemu, Z.A. (2018). Magnitude and associated factors of household food insecurity in Fedis Woreda East Hararghe zone, Oromia region, Ethiopia. Agriculture & Food Security, 7(3), 1-8. https://doi.org/1186/s40066-017-0140-6.
  52. Nonvide, G.M.A. (2018). Irrigation adoption: A potential avenue for reducing food insecurity among rice farmers in Benin. Water Resources and Economics24, 40-52. https://doi.org/1016/j.wre.2018.05.002.
  53. Ochieng, J., Kirimi, L. & Makau, J. (2017). Adapting to climate variability and change in rural Kenya: f armer perceptions, strategies and climate trends. Natural Resources Forum41(4), 195-208. https://doi.org/1111/1477-8947.12111.
  54. Okoronkwo, D.J., Ozioko, R.I., Ugwoke, R.U., Nwagbo, U.V., Nwobodo, C., Ugwu, C.H. & Mbah, E. C. (2024). Climate smart agriculture? Adaptation strategies of traditional agriculture to climate change in sub-Saharan Africa. Frontiers in Climate6, 1272320. https://doi.org/3389/fclim.2024.1272320.
  55. Pokhrel, B.K., Paudel, K.P. & Segarra, E. (2018). Factors affecting the choice, intensity, and allocation of irrigation technologies by US Cotton farmers. Water10(6), 1-12. https://doi.org/3390/w10060706.
  56. Rahman, S., & Daniel Chima, C. (2015). Determinants of modern technology adoption in multiple food crops in Nigeria: A multivariate probit approach. International Journal of Agricultural Management4(3), 100-109. https://doi.org/22004/ag.econ.262367.
  57. Rastgoo, H., Abbasi, E. & Bijani, M. (2024). Analysis of agricultural insurance vulnerability in the face of natural disasters: Insights from Iran. Environmental and Sustainability Indicators23, 100429. https://doi.org/1016/j.indic.2024.100429.
  58. Ruzankin, P.S. (2020). A fast algorithm for maximal propensity score matching. Methodology and Computing in Applied Probability, 22(2), 477-495. https://doi.org/1007/s11009-019-09718-4.
  59. Salazar, C., & Rand, J. (2016). Production risk and adoption of irrigation technology: evidence from small-scale farmers in Chile. Latin American Economic Review25(1), 1-37. https://doi.org/1007/s40503-016-0032-3.
  60. Sileshi, M., Kadigi, R., Mutabazi, K. & Sieber, S. (2019). Impact of soil and water conservation practices on household vulnerability to food insecurity in Eastern Ethiopia: Endogenous switching regression and propensity score matching approach. Food Security11(4), 797-815. https://doi.org/1007/s12571-019-00943-w.
  61. Sisay, K. (2024). Impact of irrigated agriculture on households' income and food security: Evidence from the south‐west region of Ethiopia. Irrigation and Drainage73(2), 676-693. https://doi.org/1002/ird.2898.
  62. SSCC. (2019). Propensity Score Matching in Stata using teffects. University of Wisconsin –Madison, Available at: https://www.ssc.wisc.edu/sscc/pubs/ (Retrieved at: 29 Nov 2021).
  63. Staffa, S.J., & Zurakowski, D. (2018). Five steps to successfully implement and evaluate propensity score matching in clinical research studies. Anesthesia & Analgesia, 127(4), 1066-1073. https://doi.org/1213/ANE.0000000000002787.
  64. Tarazkar, M.H., Kargar Dehbidi, N. & Shokoohi, Z. (2018). Estimating the ecological footprint of agricultural production in D-8 Islamic countries. Environmental Sciences16(4), 17-32. [In Persian]
  65. Uddin, M.N., Bokelmann, W. & Entsminger, J.S. (2014). Factors affecting farmers’ adaptation strategies to environmental degradation and climate change effects: A farm level study in Bangladesh. Climate2(4), 223-241. https://doi.org/3390/cli2040223.
  66. Van den Putte, A., Govers, G., Diels, J., Gillijns, K. & Demuzere, M. (2010). Assessing the effect of soil tillage on crop growth: A meta-regression analysis on European crop yields under conservation agriculture. European Journal of Agronomy33(3), 231-241. https://doi.org/1016/j.eja.2010.05.008.
  67. Woods, B.A., Nielsen, H.Ø., Pedersen, A.B. & Kristofersson, D. (2017). Farmers’ perceptions of climate change and their likely responses in Danish agriculture. Land Use Policy65, 109-120. https://doi.org/1016/j.landusepol.2017.04.007.
  68. Wossen, T., Berger, T., Haile, M.G. & Troost, C. (2018). Impacts of climate variability and food price volatility on household income and food security of farm households in East and West Africa. Agricultural Systems, 163, 7-15. https://doi.org/1016/j.agsy.2017.02.006.