Greenhouse gas reduction in transport: analyzing the carbon dioxide performance of different freight forwarder networks

Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016

“…Shipper's green buying behavior (including the selection of third party reverse logistics providers) [98][99][100][101][102][103][104][105][106][107][108][109]. 20…”

“…The findings reveal that the amount of transport purchasing resources allocated for the tender, the low volatility of demand and the centralized control system are perceived as key factors in shifting to intermodal transportation. The article of Kellner and Igl (2015) [109] aimed at identifying which factors mainly boost the shippers' green buying choices and the environmental impact of these choices. The authors suggested a quantitative distribution network model in order to estimate GHG emissions arising when a shipper selects a specific 3PL.…”

“…Both groups of articles highlighted the scarce importance assigned by the shippers to the environmental issues in overall terms. Only one paper (Kellner and Igl, 2015) [109], in fact, analyzed the main green actions considered by shippers in the purchasing process of green logistics services, as well as the GHG emissions resulting from the choice of a specific 3PL. However, the authors did not consider other green actions that may stimulate the shippers in purchasing greener logistics services.…”

Spatial Distribution of Energy Consumption and Carbon Emission of Regional Logistics

“…Fahimina et al [14] presented a tactical supply chain planning model that can be used to investigate tradeoffs between cost and environmental degradation including carbon emissions, energy consumption, and waste generation. Florian and Igl [15] set up a quantitative distribution network model to study the carbon footprints of 125 scenarios. They concluded that logistics service provider (LSP) structures practicing a geographically decentralized consolidation of shipments are most efficient in reducing of greenhouse gas (GHG) emissions.…”

Using LMDI approach to analyze changes in carbon dioxide emissions of China’s logistics industry

“…Zhou, Chung and Zhang (2013) studied CO2 emissions performance of the transport sector throughout China's 30 administrative regions using Data Envelopment Analysis (DEA) models with different return of scales. Kellner and Igl (2015) examined how the network carbon footprint of a real-world distribution system was affected by the logistics service provider network that was chosen to forward goods from production facilities to customers. Xu and Lin (2015) adopted provincial panel data from 2000 to 2012 and nonparametric additive regression models to examine the key influencing factors of CO2 emissions in the transport sector in China.…”