RT - Journal Article T1 - Pro-Poor Growth In Selected Iranian Provinces JF - IJNAA YR - 2018 JO - IJNAA VO - 26 IS - 85 UR - http://qjerp.ir/article-1-1789-en.html SP - 83 EP - 107 K1 - Pro-Poor Growth K1 - Gini Coefficient K1 - Poor K1 - Poverty Line K1 - Lorenz Curve K1 - Iran AB - Poverty is one of the major problems of human society and efforts to reduce it has been always the most important objectives of government policy. In order to achieve this goal, inclusive growth has a critical role. However, income inequality also affects the pace which economic growth is translated into poverty reduction. The most important challenge for policymakers in creating pro-poor policies is linking micro and macroeconomic field. Lack of coordination between these both can prevent the impact of the pro-poor policies In this study, it has been tried by using information household budget to create coordination and Cointegration between macro analyses of economic growth, and the microanalyses of economic actor's behavior. So how economic growth reduces poverty is a key question that discussed in this study. In addition, the impact of changes in average income and income distribution on poverty is studied. To determine which economic sector has been had pro-poor growth, pro-poor growth indexes are calculated for the services, industry and agriculture sectors in urban and rural areas of Azerbaijan Gharbi, Isfahan, Tehran, Khorasan Razavi, Khuzestan, Sistan & Baluchestan, Fars, Kermanshah, Mazandaran and Markazi provinces during the period 2005-2014. Furthermore, using the results, Gini's coefficient has been investigated as an index of inequality. The research results indicate that economic growth is negative in the majority of cases that has increase poverty through income effect. But income distribution has improved and has led to poverty reduction. According to the balance of these two effects on poverty except for Sistan & Baluchistan where poverty has increased in all sectors, Urban service's sector in Tehran, the urban agricultural sector in Isfahan and rural service's sector in other provinces have had best situation in pro-poor. Compare Gini's coefficient with model results indicates that the Gini coefficient did not report inequality correctly. LA eng UL http://qjerp.ir/article-1-1789-en.html M3 ER -