6 results match your criteria: "Nisantasi University Graduate School[Affiliation]"
J Environ Manage
November 2023
Business School, Zhengzhou University, Henan, China; School of Economics, Quaid I Azam University, Islamabad, Pakistan; School of Economics, University of Chakwal, Chakwal, Pakistan. Electronic address:
The rising temperature in the world's atmosphere is an outcome strongly linked to man-made manufactured interventions. Recreational activities in the form of tourism are such interventions that can unleash multidimensional negative externalities if not regulated properly. The Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) region has become one of the major hubs for recreational activities in the last few decades.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
June 2023
Nisantasi University Graduate School, Istanbul, Turkey.
This study enriches the limited literature on multidimensional poverty by focusing on household demographic characteristics as determinants of household-specific living arrangements in Pakistan. The study employs the Alkire and Foster methodology to measure the multidimensional poverty index (MPI) using data drawn from the latest available nationally representative Household Integrated Economic Survey (HIES 2018-19). The analysis investigates multidimensional poverty levels among households in Pakistan according to various criteria (such as access to education and healthcare, basic living standards, and monetary status) and how they differ across Pakistan's regions and provinces.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
May 2023
Vice Chair Research, Asian Development Bank Institute Kasumigaseki Building 8F, 3-2-5 Kasumigaseki, Chiyoda-Ku, Tokyo, 100-6008, Japan.
The adoption of clean energy (electricity and gas) for domestic purposes has increased over the decades, yet the share of clean energy in total energy consumption remains low. Therefore, this study analyses seven rounds of HIES surveys in Pakistan collected between 2001 to 2019 to understand the energy use patterns and why clean fuel consumption is low among households that have already adopted clean energy. To this end, the present study applied the Probit and Tobit models to examine the determinants of using different fuel types and their consumption intensity.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
September 2022
Nisantasi University Graduate School, Nisantasi, Turkey.
The relations among ecological footprints, biocapacity per capita, gross domestic product per capita, natural resources, urbanization, human capital, and hydroelectric consumption are analyzed from 1971Q1 to 2017Q4 for Brazil and China. The novel quantile autoregressive distributive lag method was employed to analyze the long-run and short-run dynamics of environmental degradation. The findings revealed that economic growth has a positive role in the environmental degradation of both countries.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
July 2022
Department of Agricultural Economics, School of Agriculture, Shiraz University, Shiraz, Iran.
Given the importance of energy efficiency in environmental degradation, the effects of energy efficiency and renewable and nonrenewable energy consumption on global environmental pollution were investigated. For this purpose, panel data from 107 countries from 1996 to 2014 were examined. In addition, the present study also tested the well-known environmental Kuznets curve (EKC).
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
March 2022
Faculty of Aeronautics and Astronautics, Department of Aviation Management, Erciyes University, Kayseri, Turkey.
The extant literature has provided empirical evidence about the relationship between urbanization and the environment; however, little attention has been paid to the non-linear relationship among them. This study aims to measure the effects of urbanization on carbon dioxide emission using quantile and threshold regression methods. To this end, the study employed threshold analysis and quantile regression methods in a sample of 15 emerging economies from 1995 to 2015 and analyzed the variation of such non-linearity at different levels of carbon dioxide.
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