کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11019797 1717621 2019 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pro-poor growth and sustainable development framework: Evidence from two step GMM estimator
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Pro-poor growth and sustainable development framework: Evidence from two step GMM estimator
چکیده انگلیسی
The environmental sustainability agenda is not easy to be achieved without implementing pro-growth and pro-poor growth policies across the globe. Pakistan's economy is no exception that strive hard to managed environmental resource capital and pro-poor growth expenditures in order to reduce poverty incidence and carbon mitigation policies, while many efforts need more sustainable instruments to be achieved United Nation's assigned sustainable development target till 2030. The study selected an annual time series data from 1975 to 2016 and employed two -step Generalized Method of Moments (GMM) estimator for robust inferences. The results show that higher economic growth decreases poverty incidence through social reforms, while, deforestation, under −5 mortality rate, trade openness, carbon emissions, and FDI inflows largely increases poverty incidence in a country. The study confirmed Environmental Kuznets Curve (EKC) hypothesis of carbon emissions in relation of per capita income and public spending on education, while 'pollution haven hypothesis' is confirmed due to high involvement of dirty polluting industries in country's economic transformation process. The fossil fuel combustion and high population density increases carbon emissions that sabotage the process of sustainable development in a country. Thus, it is imperative to device sustainable policies for mitigating carbon-fossil emissions with cleaner production techniques and improves the quality of life of poor people through increase social expenditures that trickle down to the poor as compared to the non-poor.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 206, 1 January 2019, Pages 767-784
نویسندگان
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