Document Type : Research Article

Authors

1 Agricultural Economics, Agricultural, Ferdowsi University, Mashhad, Iran

2 Agricultural Economics, Faculty of Agriculture, Ferdowsi University, Mashhad, Iran

Abstract

Introduction

Considering being located in arid and semi-arid regions of the world, Iran is influenced by the most severe impacts of drought. Drought is considered a major threat to the livelihood of rural households. In the last drought, rural households have suffered significant losses and consequences, which highlights their unpreparedness to deal with this natural hazard. Therefore, every society must take measures to deal with changes, threats and their effective management. Meanwhile, the review of the country's drought management programs shows that the policy-makers have always focused on increasing production even in the critical conditions of the recent droughts. That is, they have prioritized the policy of increasing production and providing the basic needs of the growing population over providing livelihood and improving the resilience of rural households. However, the key to improving the rural households situation in drought conditions is to pay more attention to households resilience capacity, which indicates their ability to adapt and be flexible. Therefore, considering the sensitivity of the issue of resilience as a dominant approach effective on the dimensions of life and livelihood of rural households on the one hand and the lack of a comprehensive study on its underlying factors, on the other hand, this research seeks to answer two questions: First, what is the resilience level of rural households against drought? Second, what factors influence the resilience levels of rural households in drought conditions?



Materials and Methods

The statistical population of this study is 16,817 rural households in Zehak city, located in Sistan and Baluchistan province, which are strongly influenced by different climatic events such as drought, excessive heat, low rainfall and 120-day winds. A stratified random sampling method was used to determine the sample size. According to Cochran's formula, the sample size is estimated to be 376 households. Data were collected by completing multidimensional questionnaires along with semi-structured interviews from households in 2023. To measure the resilience capacity of rural households, the theoretical framework of TANGO based on the estimation of the three capacities of absorption, adaptation and transfer was used through the factor analysis method, in which attitudinal and mental aspects of resilience are also taken into account. Finally, partial proportional odds model has been used to evaluate the influencing factors on the resilience capacity of rural households.



Results and Discussion

The results of the state of resilience capacity of rural households in the region indicated that the average value of their resilience capacity is 26.27, which shows the low level of resilience capacity in the region. Also, the households of the region are in a bad situation based on the absorption, adaptation and transmission capacities, and the households of the region have a stronger transmission capacity than the absorption and adaptation capacity against drought. The results of grouping the resilience capacity of households reveal that 32.45% are in the vulnerable group, 28.19% are in the relative resilience group, 22.61% are in the resilient group and 16.76% are in the high resilience group. The results show that more than 60% of households are at very low levels of resilience. Finally, the partial proportional odds model results demonstrated that the variables of education of the head of the household, skill level in agricultural activities, savings, household income, number of household contacts with agricultural extension, membership of the head of the household in social groups and access to microcredits have a positive effect and variables of the value of the loss of agricultural products and the number of livestock lost have a negative effect on the resilience capacity of rural households against drought.



Conclusion

According to the findings, policy-makers should prioritize strengthening the variables that determine the resilience capacity and its dimensions in the implementation of drought management programs so that households can absorb drought shocks without damaging their basic components. Also, policy-makers should target specific categories of risks, dimensions of vulnerability and resilience in different time periods (before, during, and after shock) in order to choose comprehensive strategies to build and increase resilience. For instance, before a shock, better access to early detection of emerging climate risks could help farmers plan their cropping activities accordingly. Access to climate information allows for forward-looking adaptation that reduces the impact of shocks and increases resilience.

Keywords

Main Subjects

CAPTCHA Image