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Showing 2 results for Eslami

Sakineh Eslami Giski, Mostafa Salimifar, Ahmad Esifi,
Volume 27, Issue 1 (Spring 2022)
Abstract

On the one hand, the development of industry increases economic growth and on the other hand, due to higher pollution coefficients, it reduces the quality of the environment. Therefore, creating an optimal structure of the industry to reduce the negative externalities is very importance. Accordingly, the study by using the statistical evidence of MENA selected countries over 2010-2017 and applying spatial econometrics approach investigates the effect of industrial agglomeration on entropy index as pollution agglomeration.  The results show that there are spatial effects of pollutant emissions among the studied countries, Also, the agglomeration of the industry reduces the agglomeration of pollutants due to advantage of spillover effect of knowledge and technology and matching skills with jobs. In addition, the intensity of energy consumption increases the agglomeration of pollution. The Kuznets curve in the relationship between GDP and pollution agglomeration is confirmed by the nonlinear relationship between the two variables. Ultimately, the openness of the economy in neighboring countries due to the effects of spatial spillover leads to a reduction in pollution agglomeration.

Mohammad Eslami, Mohammad Hoseini,
Volume 29, Issue 2 (summer 2024)
Abstract

Understanding the distribution of poverty within society—whether chronic or transient—is crucial for designing and implementing effective poverty reduction policies. This paper uses seven panels of data spanning different periods from the 1990s to the 2020s to estimate chronic poverty trends in Iran, applying two methods: the components method and the equally distributed equivalent (EDE) poverty gap method. The components method reveals a lower proportion of chronic poverty compared to the EDE approach, which estimates this figure at an average of 88%. Over time, chronic poverty trends have paralleled broader macroeconomic conditions, declining from the 1990s through the early 2010s, stabilizing briefly, and then increasing again by the late 2010s. The EDE poverty gap method also distinguishes chronic poverty into two parts: the average poverty gap and an inequality component. The findings suggest that changes in chronic poverty are primarily driven by fluctuations in the average poverty gap, with inter-individual inequality playing a less prominent role, despite consistently comprising a larger share of chronic poverty.


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