title: Environmental logistics performance indicators affecting per capita income and sectoral growth: evidence from a panel of selected global ranked logistics countries.
abstract: The objective of the study is to examine the long-run and causal relationship between environmental logistics performance indicators (ELPI) and growth-specific factors in a panel of 15 selected global ranked logistics countries over a period of 2007-2015. This study is exclusive as we utilized a number of LPI factors including logistics performance, logistics competence, and logistics infrastructure with mediation of sustainable factors, i.e., carbon dioxide (CO2), fossil fuel, and greenhouse gas (GHG) emissions in a region. The results show that the per capita income, industry, manufacturing, and service share to GDP is affected by CO2emissions and GHG emissions. Logistics competence and infrastructure promote economic growth and sectoral value added, while energy demand and FDI inflows both are prerequisite for sustainable agriculture in a region. The causal relationships confirm that more energy demand results in an increase in economic growth, industry value added, and the service sector (i.e., feedback hypothesis), while the sustainable supply chain system improves energy demand, FDI inflows, economic growth, and sectoral growth (i.e., conservation hypothesis) in a panel of countries.
authors: School of Economics and Management, Chang'an University, Nan Er Huan Zhong Duan, Xi'an, 710064, People's Republic of China. sarehman_cscp@yahoo.com.
authors: Syed Abdul Rehman
authors: SA
authors: Khan
authors: School of Economics and Management, Chang'an University, Nan Er Huan Zhong Duan, Xi'an, 710064, People's Republic of China.
authors: Dong
authors: D
authors: Qianli
authors: School of Economics and Management, Chang'an University, Nan Er Huan Zhong Duan, Xi'an, 710064, People's Republic of China.
authors: Wei
authors: W
authors: SongBo
authors: Department of Economics, Abbottabad University of Science and Technology, Tehsil Havelian, Khyber Pakhtunkhwa, Abbottabad District, Pakistan.
authors: Khalid
authors: K
authors: Zaman
authors: School of Printing and Packaging, Xi'an University of Technology, Xi'an, Shaanxi, People's Republic of China.
authors: Yu
authors: Y
authors: Zhang
mesh_terms: D000383:Agriculture; D000393:Air Pollutants; D002245:Carbon Dioxide / Q000032:analysis; D057217:Economic Development; D004784:Environmental Monitoring / Q000379:methods; D005579:Fossil Fuels; D017752:Greenhouse Effect; D007182:Income; D008962:Models, Theoretical
chemical_list: D000393:Air Pollutants; D005579:Fossil Fuels; D002245:Carbon Dioxide
keywords: Carbon dioxide emissions; Energy demand; Environmental logistics performance indicators; FDI inflows; Fossil fuel energy consumption; GHG emissions; Panel GMM estimator; Per capita income; Sectoral growth