Abstract

Extended Abstract

Background and purpose

In recent years, organizations and agencies worldwide have made increasing efforts to reduce carbon pollutants in the environment. They have also focused on building resilient communities to withstand natural threats due to extensive social and economic damages and infrastructure destruction. Factors such as population growth, natural and geographical features, ecological changes, industrial development, natural resources, increased use of fossil fuels, land use change and the spatial structure of Kerman metropolis have had serious effects on the state of air pollutants in Kerman.The current research seeks to examine the status of institutional and economic resilience components in Kerman city, the differences between Kerman city regions in terms of institutional and economic resilience components, as well as the effect of carbon on environmental components of Kerman city.

Methods

To achieve the goals of the research, resilience indicators in 2 economic and institutional dimensions was designed in the field of carbon survey of 6 components (environmental quality, energy, population, industries and technology, transportation and urban land use and urban landscape design). The statistical population of the research living in Kerman city, which were selected by targeted sampling of 380 of citizen living in these areas. Also, SPSS software and statistical tests (descriptive statistics, mean, one-sample t-test and independent t) were used to analyze the collected data. Regression test was used to check the carbon distribution situation in the areas of Kerman city, and also for weighting the studied indicators and spatial data, the Weights Manager spatial autocorrelation method with ArcGis software.

Findings and discussion

The economic dimension of resilience includes indicators (the amount of damage, the ability to compensate for damage, the ability to return to normal conditions and disaster insurance).

The institutional dimension of resilience includes indicators (information about the organization's performance, institutional background, organizational relations and institutional performance).

The obtained results show that the state of resilience in the economic dimension and the institutional dimension are in a good state. The results of the independent t-test show that the average score of the economic resilience of the residents of region 2 is (74.54) and for the residents of region 1 it is (66.67). In fact, it can be said that the economic resilience of the residents of regions 1 and 2 was higher than other regions. Also, the institutional resilience of the residents of regions 1 and 5 was higher than other regions.

Conclusion

According to the obtained results, there is a significant difference between the studied areas in terms of the economic and institutional resilience index. The results of the regression analysis show that the influence of the components of industries and technology is high, which explains well the situation of influence on the distribution of carbon in the city of Kerman. After that, population index and environmental quality are in the next categories. Also, the effect of all investigated components on carbon distribution is positive and significant at the 95% confidence level. The findings of the present research in the field of institutional resilience are consistent with the findings of Khaledi et al. (2019), which shows that institutional communication can play an important role in resilient societies and is different in other components. The findings of this research in relation to economic resilience in insurance components, the amount of damage, and spatial indicators such as population density are consistent with the findings of Arasteh et al. (2019). The findings of the present research in the field of institutional resilience are consistent with the findings of Khaledi et al. (2019), which shows that institutional communication can play an important role in resilient societies and is different in other components. The findings of this research in relation to economic resilience in insurance components, the amount of damage, and spatial indicators such as population density are consistent with the findings of Arasteh et al. (2019).