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Showing 2 results for Kargar Dehbidi


Volume 0, Issue 0 (ARTICLES IN PRESS 2024)
Abstract

A major goal of this study is to document how renewable and non-renewable energy consumption is related to human development in Iran. For this purpose, all variables were tested for structural breaks using the breakpoint unit root test. Additionally, long-run relationships are examined using the Auto-Regressive Distributed Lag (ARDL) bounds test. The outcomes of the diagnostic tests showed that the panel ARDL model parameters were stable, predictable, and reliable in the long term. Significant positive and negative relationships were found between renewable and non-renewable energy consumption and the Human Development Index (HDI), respectively. Additionally, the elasticity of renewable energy consumption is lower than that of non-renewable energy consumption. Human development in Iran has also been enhanced by CO2 emissions. Conversely, economic growth and increased trade transparency would lower the HDI in Iran. To improve human development in Iran, energy consumption as well as clean energy production and consumption should be considered.


Volume 25, Issue 3 (5-2023)
Abstract

Adoption of multiple climate change adaptation strategies is the most important solution to mitigate the negative consequences of climate change. Therefore, in the present study, economic and social characteristics that affect the intensity of adaptation strategies in the Bakhtegan-Tashk Basin, Iran, were examined using an ordered probit model. A total of 300 farmers were selected using a multi-stage sampling method. The results showed that household income level, access to the credit, availability of irrigation water, number of crops, and farmer membership in agricultural extension classes had significant positive effects on the intensity of adaptation to climate change. Therefore, it is suggested that the government facilitates the use of different climate change adaptive strategies by increasing financial incentives. Also, changing the cropping pattern by planting less water demanding crops that are appropriate for the region is recommended.

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