seyedeh fatemeh chavooshi; mahmod mahmoodzadeh; Salleh Ghavidel doostkouyi
Abstract
The purpose of this article is to evaluate factors affecting expansion of e-commerce in Iran in a provincial level using panel-data regression model for period 2013 to 2016 in 30 Iranian provinces. The results show that about 5 percent of gross domestic product (GDP) in Iran has been created by e-commerce. ...
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The purpose of this article is to evaluate factors affecting expansion of e-commerce in Iran in a provincial level using panel-data regression model for period 2013 to 2016 in 30 Iranian provinces. The results show that about 5 percent of gross domestic product (GDP) in Iran has been created by e-commerce. The most important factors affecting expansion of e-commerce include: number of e-commerce businesses, penetration rate of landline phone, penetration rate of mobile phone and internet bandwidth. The estimated coefficient for variables of the number of e-commerce businesses, penetration rate of landline phone, penetration rate of mobile phone and internet penetration rate are 0.045, 0.022, 0.009 and 0.006 respectively and they are statistically significant. The results show the greatest influence on e-commerce is made by "internet penetration rate" that can be used as the driving engine of e-commerce. This means that with increasing internet penetration rate in Iranian provinces, the gap in e-commerce between provinces can be decreased. The second influential variable on expansion of e-commerce is "number of e-commerce businesses". In addition, penetration rates of mobile and landline phone are other variables influencing expansion of e-commerce in Iran.
mahmod mahmoodzadeh; Saleh Ghavidel; Seyedeh Fatemeh i Chavosh
Abstract
The aim of this study is to estimate the effect of e-commerce on employment and productivity in Iran, with an emphasis on B2C. The methodology of econometrics in this research is panel-data approach, based on provincial seasonal data from 2013 to 2015. Evidence shows that there are 14 million ...
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The aim of this study is to estimate the effect of e-commerce on employment and productivity in Iran, with an emphasis on B2C. The methodology of econometrics in this research is panel-data approach, based on provincial seasonal data from 2013 to 2015. Evidence shows that there are 14 million online shoppers and 17,000 online shops in Iran, and 2.4 percent of GDP and 11 percent of the retail trade is done electronically. Estimate in different ways indicate that e-commerce with an emphasis on B2C, increases economic productivity. The elasticity of productivity with respect to e-commerce, is estimated to be between 0.006 to 0.0108. In other hands, one percentage increase in share of e-commerce would increase GDP per capita in provinces between 0.006 to 0.0108 percent. The impact of e-commerce on employment is negative but statistically insignificant. Due to the positive effects of e-commerce on GDP per capita and its insignificant effect on unemployment rate, we conclude that e-commerce improved the productivity of labor during period under study.