Volume 13, Issue 50 (12-2024)
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Badvi A, Savari M, Sobhani S M J. The Impact of Adaptation Strategies on the Livability of Rural Households in Coping with Drought (A Case Study of Bavi County, Khuzestan Province). serd 2024; 13 (50)
URL: http://serd.khu.ac.ir/article-1-4031-en.html
URL: http://serd.khu.ac.ir/article-1-4031-en.html
1- Agricultural Sciences and Natural Resources University of Khuzestan
2- Agricultural Sciences and Natural Resources University of Khuzestan ,mj.sobhani@asnrukh.ac.ir
2- Agricultural Sciences and Natural Resources University of Khuzestan ,
Abstract: (76 Views)
Objective: A precise understanding of adaptive capacity in rural communities allows for the implementation of strategies tailored to different climatic conditions and the capabilities of rural populations. These strategies help reduce drought-related damages and enhance livability. This study aims to identify the impact of adaptation capacity components on the livability of rural households in the face of drought.
Method: A quantitative survey approach was used to collect and analyze data. The study employed a questionnaire as its primary data collection tool, and structural equation modeling (SEM) was performed using SmartPLS software to determine the impact of adaptive capacity factors on rural household livability under drought conditions. The target population were all rural farming households in Bavi County, Khuzestan Province and the Sample size was 347 household heads, selected using systematic sampling.
Findings: The adaptation strategy matrix identified five key drought response measures used by farmers: 1. Changing planting schedules, 2. Modifying harvest times, 3. Using savings, 4. Bartering goods, 5. Engaging in non-agricultural activities. Structural equation modeling (SEM) results confirmed that five key hypotheses including knowledge, utilization level, availability of resources and inputs, access to resources, and advisory services had a positive and significant impact on rural household livability during drought conditions.
Conclusion: To enhance rural households' resilience to drought, the study recommends:
Method: A quantitative survey approach was used to collect and analyze data. The study employed a questionnaire as its primary data collection tool, and structural equation modeling (SEM) was performed using SmartPLS software to determine the impact of adaptive capacity factors on rural household livability under drought conditions. The target population were all rural farming households in Bavi County, Khuzestan Province and the Sample size was 347 household heads, selected using systematic sampling.
Findings: The adaptation strategy matrix identified five key drought response measures used by farmers: 1. Changing planting schedules, 2. Modifying harvest times, 3. Using savings, 4. Bartering goods, 5. Engaging in non-agricultural activities. Structural equation modeling (SEM) results confirmed that five key hypotheses including knowledge, utilization level, availability of resources and inputs, access to resources, and advisory services had a positive and significant impact on rural household livability during drought conditions.
Conclusion: To enhance rural households' resilience to drought, the study recommends:
- Investing in knowledge and skill development for farmers,
- Recognizing the importance of agricultural extension services in smart decision-making,
- Improving access to resources, and
- Implementing effective adaptation strategies.
Keywords: Extension and Education, Climate Change, Rural Households, Adaptation Strategies, Environment
References
1. الماسی، هادی، توکلی، جعفر، و قوچی، پرستو. 1395. بررسی و تحلیل راهبردهای سازگاری کشاورزان با خشکسالی در استان کرمانشاه. پژوهش های روستایی، 7 (1)، 217-241. [DOI:10.22059/jrur.2016.58393]
2. حسینی، سیده کوثر، فروزانی، معصومه و عبدشاهی، عباس. 1402. بررسی اثرگذاری دارایی‌های معیشتی بر تنوع معیشت روستاییان (مورد مطالعه: شهرستان باوی). تحقیقات اقتصاد و توسعه کشاورزی ایران، 54 (2)، 487-503. [DOI:10.22059/ijaedr.2023.350022.669185]
3. زرافشانی، کیومرث، کشاورز، مرضیه، و ملکی، طاهره. 1393. سنجش توان سازگاری خانوارهای کشاورز در برابر خشکسالی مورد: دهستان درودفرامان در شهرستان کرمانشاه. اقتصاد فضا و توسعه روستایی، 3 (7)، 123-138.
4. سازمان ملی بهره‌وری، 1402. بررسی وضعیت بخش کشاورزی با رویکرد بهره‌وری. مرکز اطلاع‌رسانی. قابل دسترس در: https://www.npo.gov.ir/notes/id/5356
5. سلیمانی، عادل، افراخته، حسن، عزیزپور، فرهاد، و طهماسبی، اصغر. 1395. تحلیل فضایی ظرفیت سازگاری سکونتگاه های روستایی شهرستان روانسر در مواجهه با خشکسالی. تحلیل فضایی مخاطرات محیطی، 3 (2)، 65-78.
6. سواری، مسلم، و مرادی، مهرداد. 1398. عوامل موثر بر بهبود زیست پذیری خانوارهای روستایی در شرایط خشکسالی مورد: شهرستان هندیجان. اقتصاد فضا و توسعه روستایی، 30 (8)، 219-242.
7. سواری، مسلم. و طاهری، حسن (1402). نقش حس تعلق مکانی در توانمندی روانی خانوارهای روستایی بخش مرکزی شهرستان باوی در مقابله با خشکسالی، برنامه‌ریزی فضایی، 11(2)، 67-90. [DOI:10.22108/sppl.2020.123435.1508]
8. کریمی, حمید, عطائی, پوریا. 1400. پیامدهای به کارگیری استراتژی‌های سازگاری کشاورزان سیستان در مقابله با خشکسالی: تاب‌آوری و زیست‌پذیری. علوم ترویج و آموزش کشاورزی ایران. 17 (2)، 149-164. [DOI:20.1001.1.20081758.1400.17.2.10.8]
9. کوهستانی عین الدین، حسین، ملکی، طاهره، و کشاورز، مرضیه. 1401. تبیین عوامل مؤثر بر آسیب‌پذیری خانوارهای کشاورز در شرایط خشکسالی. علوم ترویج و آموزش کشاورزی ایران، 18 (ویژه‌نامه)، 113-129.
10. وزارت جهاد کشاورزی، 1402. جلد اول آمارنامه کشاورزی محصولات زراعی 1400-1401. مرکز آمار و فناوری اطلاعات و ارتباطات. قابل دسترس در: https://www.maj.ir/page-amar/FA/65/form/pId3352
11. Abbass, K., Qasim, M.Z., Song, H., Murshed, M., Mahmood, H. and Younis, I., (2022). A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research, 29(28), 42539-42559. [DOI:10.1007/s11356-022-19718-6]
12. Ahmad, M.M., Yaseen, M. and Saqib, S.E., (2022). Climate change impacts of drought on the livelihood of dryland smallholders: Implications of adaptation challenges. International Journal of Disaster Risk Reduction, 80,103210. [DOI:10.1016/j.ijdrr.2022.103210]
13. Almasi, H., Tavakoli, J., & Ghoochi, P. (2016). Assessing and Analizing Farmers Drought Coping Strategies in Kermanshah Province. Journal of Rural Research, 7(1), 217-242. (in Persian) [DOI:10.22059/jrur.2016.58393]
14. Andrijevic, M., Schleussner, C. F., Crespo Cuaresma, J., Lissner, T., Muttarak, R., Riahi, K., and Byers, E. (2023). Towards scenario representation of adaptive capacity for global climate change assessments. Nature Climate Change, 13(8), 778-787. [DOI:10.1038/s41558-023-01725-1]
15. Bohorquez, N. G., Stafford, L., Malatzky, C., McPhail, S. M., Selim, S. M. and Kularatna, S. (2023). Disability, equity, and measurements of livability: a scoping review. Disability and Health Journal, 13 (2), 101521. [DOI:10.1016/j.dhjo.2023.101521]
16. Cui, X. and Tang, Q. (2024). Extreme heat and rural household adaptation: Evidence from Northeast China. Journal of Development Economics, 167(2), 103243. [DOI:10.1016/j.jdeveco.2023.103243]
17. Cui, Y., An, D., Sun, W., Yang, L. and Yuan, B. (2024). The impact of environmental livability on rural economic development in China. Environment, Development and Sustainability, 12(3), 1-24. [DOI:10.1007/s10668-023-04345-z]
18. Dang, H. L., Li, E., Nuberg, I., & Bruwer, J. (2019). Factors influencing the adaptation of farmers in response to climate change: A review. Climate and Development, 11(9), 765-774. [DOI:10.1080/17565529.2018.1562866]
19. Dorward, P., Osbahr, H., Sutcliffe, C., & Mbeche, R. (2020). Supporting climate change adaptation using historical climate analysis. Climate and Development, 12(5), 469-480. [DOI:10.1080/17565529.2019.1642177]
20. Eakin, H., and Bojórquez-Tapia, L. A. (2008). Insights into the composition of household vulnerability from multicriteria decision analysis. Global Environmental Change, 18(1), 112-127. [DOI:10.1016/j.gloenvcha.2007.09.001]
21. Farahani, H. and Jahansoozi, M., (2022). Analysis of rural households' resilience to drought in Iran, case study: Bajestan County. International Journal of Disaster Risk Reduction, 82(1), 103331. [DOI:10.1016/j.ijdrr.2022.103331]
22. Ghazali, S., Zibaei, M. and Keshavarz, M., (2022). The effectiveness of livelihood management strategies in mitigating drought impacts and improving livability of pastoralist households. International Journal of Disaster Risk Reduction, 77(3), 103063. [DOI:10.1016/j.ijdrr.2022.103063]
23. Gomez-Zavaglia, A., Mejuto, J. C., & Simal-Gandara, J. (2020). Mitigation of emerging implications of climate change on food production systems. Food Research International, 134, 109256. [DOI:10.1016/j.foodres.2020.109256]
24. Hair, Jr, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2021). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). UAS: Sage Publications.
25. Henseler, J., Ringle, C.M. and Sarstedt, M., (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(2), 115-135. [DOI:10.1007/s11747-014-0403-8]
26. Hosseini, S. K., Forouzani, M., & Abdeshahi, A. (2023). Investigating the effect of livelihood assets on diversity of villagers' livelihoods (the case of Bavi County). Iranian Journal of Agricultural Economics and Development Research, 54(2), 487-503. (in Persian) [DOI:10.22059/ijaedr.2023.350022.669185]
27. Hou, L., Min, S., Huang, Q., & Huang, J. (2023). Farmers' perceptions of drought-severity and the impacts on ex-ante and ex-post adaptations to droughts: Evidence from maize farmers in China. Agricultural Water Management, 279, 108180. [DOI:10.1016/j.agwat.2023.108180]
28. Huang, K., & Sim, N. (2021). Adaptation may reduce climate damage in agriculture by two thirds. Journal of Agricultural Economics, 72(1), 47-71. [DOI:10.1111/1477-9552.12389]
29. Jha, R. K., & Gundimeda, H. (2019). An integrated assessment of vulnerability to floods using composite index–A district level analysis for Bihar, India. International Journal of Disaster Risk Reduction, 35, 101074. [DOI:10.1016/j.ijdrr.2019.101074]
30. Jiang, M., Shi, C. L., Liu, Y., & Jin, Z. Q. (2017). Response of rice production to climate change based on self-adaptation in Fujian Province. The Journal of Agricultural Science, 155(5), 751-765. [DOI:10.1017/S0021859617000016]
31. Karimi, H., & Ataei, P. (2022). Consequences of Applying Adaptation Strategies of Sistan Farmers to Drought: Resilience and Viability. Iranian Agricultural Extension and Education Journal, 17(2), 149-164. (in Persian)
32. Kikuvi, M. M. (2021). Effects of Drought on Household Livelihoods in Ngomeni Ward, Mwingi North Sub County, Kitui County, Doctoral dissertation, University of Nairobi. Available at: www.erepository.uonbi.ac.ke
33. Kohestani Ainuddin, H., Maleki, T., & Keshavarz, M. (2023). The Survey of Affecting Factors on Farmer Households' Vulnerability towards Drought. Iranian Agricultural Extension and Education Journal, 18(Special Issue), 113-129. (in Persian) [DOI:20.1001.1.20081758.1400.17.2.10.8]
34. Martino, N., Girling, C. and Lu, Y., (2021). Urban form and livability: socioeconomic and built environment indicators. Buildings & Cities, 2(1), 312-334.
35. Meraner, M., & Finger, R. (2019). Risk perceptions, preferences and management strategies: evidence from a case study using German livestock farmers. Journal of Risk Research, 22(1), 110-135.
36. Miller, H. J., Witlox, F., & Tribby, C. P. (2013). Developing context-sensitive livability indicators for transportation planning: a measurement framework. Journal of Transport Geography, 26, 51-64. [DOI:10.1016/j.jtrangeo.2012.08.007]
37. Ministry of Agricultural Jihad. (2023). the first volume of agricultural statistics of crops 2022-2023. Center for Statistics and Information and Communication Technology. (in Persian) Available at: https://www.maj.ir/page-amar/FA/65/form/pId3352
38. Nakuja, T., Sarpong, D.B., Kuwornu, J.K. and Felix, A.A., (2012). Water storage for dry season vegetable farming as an adaptation to climate change in the upper east region of Ghana. African Journal of Agricultural Research, 7(2), 298-306.
39. Nantui, M. F., Bruce, S. D. and Yaw, O. A. (2012). Adaptive capacities of farmers to climate change adaptation strategies and their effects on rice production in the northern region of Ghana. Russian Journal of Agricultural and Socio-Economic Sciences, 11(1), 9-17.
40. Pang, Y., Zhang, W. and Jiang, H. (2024). A socio-spatial exploration of rural livability satisfaction in megacity Beijing, China. Ecological Indicators, 158,111368. [DOI:10.1016/j.ecolind.2023.111368]
41. Savari, M. and Moradi, M., (2022). The effectiveness of drought adaptation strategies in explaining the livability of Iranian rural households. Habitat International, 124, p.102560. [DOI:10.1016/j.habitatint.2022.102560]
42. Savari, M., & Moradi, M. (2019). Effective factors on improving the livability of rural households in drought conditions, Case study: Hendijan city. Journal space economy & rural development. 8 (30), 242-219 (in Persian) . [DOI:10.22108/sppl.2020.123435.1508]
43. Savari, M., Damaneh, H. E., & Damaneh, H. E. (2022). Drought vulnerability assessment: Solution for risk alleviation and drought management among Iranian farmers. International Journal of Disaster Risk Reduction, 67, 102654. [DOI:10.1016/j.ijdrr.2021.102654]
44. Savari, M., Damaneh, H.E. and Damaneh, H.E., (2023). The effect of social capital in mitigating drought impacts and improving livability of Iranian rural households. International Journal of Disaster Risk Reduction, 89, 103630. [DOI:10.1016/j.ijdrr.2023.103630]
45. Shikwambana, S., Malaza, N. and Ncube, B., (2022). Enhancing the resilience and adaptive capacity of smallholder farmers to drought in the Limpopo Province, South Africa. Conservation, 2(3), 435-449. [DOI:10.3390/conservation2030029]
46. Siders, A. R. (2019). Adaptive capacity to climate change: A synthesis of concepts, methods, and findings in a fragmented field. Wiley Interdisciplinary Reviews: Climate Change, 10(3), 573-592. [DOI:10.1002/wcc.573]
47. Solimani A, Afrakhteh H, Azizpour F, Tahmasebi A. (2016). Assessing the Level of Adaptive Capacity in Rural Districts of Rawansar City to drought. Journal of Spatial Analysis Environmental Hazards. 3 (2), 65-78 (in Persian)
48. Trinh, T. Q., Rañola Jr, R. F., Camacho, L. D., & Simelton, E. (2018). Determinants of farmers’ adaptation to climate change in agricultural production in the central region of Vietnam. Land Use Policy, 70, 224-231. [DOI:10.1016/j.landusepol.2017.10.023]
49. Turner-Walker, S., Anantasari, E., & Retnowati, A. (2021). Integration into development: translating international frameworks into village-level adaptation. In Climate Change Research, Policy and Actions in Indonesia (pp. 53-77). Springer, Cham. [DOI:10.1007/978-3-030-55536-8_4]
50. Valizadeh, N., Bijani, M. and Abbasi, E., (2021). Farmers’ participatory-based water conservation behaviors: Evidence from Iran. Environment, Development and Sustainability, 23(1) 4412-4432. [DOI:10.1007/s10668-020-00781-3]
51. Yurui, L., Luyin, Q., Qianyi, W. and Karácsonyi, D., (2020). Towards the evaluation of rural livability in China: Theoretical framework and empirical case study. Habitat International, 105,102241. [DOI:10.1016/j.habitatint.2020.102241]
52. Zarafshani, K., Keshavarz, M., & Malaki, T. (2014). Assess the compatibility of family farmers in times of drought: Drudframan district in the County of Kermanshah. Journal space economy & rural development. 3 (7), 123-138 (in Persian)
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