Making green discourses matter in policy-making: Learning from discursive power struggles within the policy area of car taxation

This paper is about stability and change in the policy-making discourse of a traditional neoclassical policy area, the area of car taxation. Stability is here related to the unquestioned continuation of a traditional neoclassical economics perspective in policy-making, whereas change is related to the introduction and impact of environmental concerns. The aim of the paper is to investigate, what makes green discourses matter in traditional policy-making. It is based on an in-depth study of policy-making processes related to car taxation in two environmental front-runner countries, Sweden and Denmark.Making green discourses matter in policy-making is an important contemporary environmental challenge. Therefore, as Tian Shi argues, we need more research into the institutional setting of the policy-making process. Ecological economics as a policy science has to have a broad understanding of the political economic nature of the policy process. Taking this standpoint as the point of departure, the paper seeks to uncover questions such as, what is the policy-making reality in which Swedish and Danish green discourses have to make a difference? How do existing neoclassical regimes react, when green actors attempt to influence policy-making from an environmental point of view? And to what extent can green discourses actually have an impact on the policy world within the area of car taxation?The paper concludes that the traditional neoclassical economic discourse is particularly robust and resistant against alternative green discourses. Stability rather than change is the dominating picture. This does not imply that environmental concerns will not be taken into account in the future. Rather it implies that only the changes, which keep up the existing order, or enhance the narrow power-related interests of the dominating actors, will materialise more or less easily. The rest is a power struggle in which timing, coalition-building, persistence and thorough knowledge about the field in question is of importance. In this struggle change agents will also benefit from the ability to rethink dominating ways of thinking and doing in an environmentally benign way. A rethinking that is based on environmental values while at the same time holding positive visions that are ‘compatible’ with the existing dominating discourse.     

“一带一路”倡议下中国口岸出入境货运量的时空格局演变探究

口岸作为国家指定的对外开放门户,承担着国与国之间货物运输和人员往来的重要功能。"一带一路"倡议的实施促进了我国口岸的发展,带动了口岸经济与区域经济的发展,反过来进一步加强了与"一带一路"沿线国家的合作。本文利用口岸运行指标中的出入境货运量数据,借助探索性空间数据分析方法,对我国2011—2017年31个省(区、市)的口岸出入境货运量的时空格局进行分析。结果表明:"一带一路"倡议提出后,尤其是2015年后,我国口岸出入境货运总量呈现快速增长态势且存在显著的空间正相关性;三类口岸(水运、陆运和空运口岸)中,水运口岸存在更显著的、更强的空间相关性;各类口岸出入境货运量中,东部沿海地区水运呈现正向空间集聚现象,西部沿边地区陆运呈现极化现象。此外,本文对全国31个省(区、市)的地区货运总量也进行了空间动态分析,发现也存在空间相关性,且集聚效应在"一带一路"倡议提出后不断增强。在此基础上,为了更好地服务于"一带一路"建设,本文提出了提升各类口岸运输能力的相关对策建议。     

Pre-positioning of relief items in humanitarian logistics considering lateral transhipment opportunities

The main objective of this study is to investigate the inclusion of lateral transhipment opportunities into the humanitarian relief chain and to examine the effect of different parameters on minimizing the average distance travelled per item while serving the beneficiaries. Direct shipment model (DT), lateral transhipment model (LTSP) and maritime lateral transhipment model (MLTSP) are developed and compared between each other by using a real life earthquake scenario prepared for the city of Istanbul by JICA (Japanese International Cooperation Agency). Developed mathematical models decide on the locations and number of disaster relief facilities, quantity of relief items to hold at those facilities, and quantity of lateral transhipment between the facilities. Vulnerability of the roads and heterogeneous capacitated facilities are also considered. It can be concluded that both LTSP and MLTSP models gave better results than DT model and lateral transhipment option helps beneficiaries to obtain relief items faster and with higher service level.     

The trade-off between fixed vehicle costs and time-dependent arrival penalties in a routing problem

This paper introduces the vehicle routing problem with soft time windows (VRPSTW) in which problem definition differs from ones previously defined in literature. Branch-and-price approach is employed, resulting in a set partitioning master problem and its new subproblem. Novel techniques are consequently developed to solve this new subproblem. Experimental results report the comparisons of these solution techniques under the branch-and-price framework. The VRPSTW solutions have further been compared to the state-of-the-art literature, signifying the superiority of the VRPSTW on this issue.     

On structural inelasticity of modal substitution in freight transport

At the European level there is an increasing focus on how freight transport can be moved from trucks on roads to more environmentally friendly modes such as rail and ship. A large proportion of the transport services between OD pairs, however, cannot be substituted since there is only one alternative available. The paper investigates the magnitude of this “structural inelasticity” of modal substitution in freight transport due to a sparser layout of rail and ship-based freight networks compared to road. In the analysis we use a recent Scandinavian freight demand model covering more than 800 zones. We find that the structural inelasticity is very significant - in particular for transportation over less than 500 km. Moreover, the inelasticity varies greatly with commodity groups and between OD pairs, and it depends strongly on the port and rail infrastructure. The results suggest that pure charging instruments (road pricing for trucks) in many regions will have limited mode substitution impacts. However, if combined with structural changes in terms of improved infrastructure for rail and ship, impacts may be greater.     

Yours,mine, and ours: A user-centric analysis of opportunities and challenges in peer-to-peer asset sharing

The sharing economy is growing globally in terms of user numbers, service providers, and novel concepts. Peer-to-peer (P2P) asset sharing, or asset rental between private individuals, has attracted the attention of entrepreneurs and researchers alike. P2P asset-sharing networks need to focus on two distinct customer groups: (1) asset owners willing to rent out their assets, and (2) renters interested in renting others’ assets. Despite consumers’ high interest in P2P asset sharing, participation rates lag projections, which is mainly attributable to lack of participating asset owners. This could be problematic for P2P networks as they do not own assets; instead, they rely on a sufficient number of asset owners to participate. Detailed indications on the participation motives of users are required to distinctly position P2P asset sharing and enhance communication of consumer-relevant benefits. To this end, we have engaged in a detailed investigation of participation motives in the P2P car-sharing context. We have conducted in-depth interviews with car owners and renters to derive usage types that represent consumer decision profiles that participate in P2P car-sharing services. Based on our findings, we provide extensive recommendations to entrepreneurs in the P2P asset-sharing market.     

Dynamic routing of time-sensitive air cargo using real-time information

The route planning of time-sensitive air-cargo is becoming more important with the growing air-network congestion and delays. We consider a freight forwarder’s routing of a time-sensitive air-cargo in the presence of real-time and historical information regarding flight availability, departure delays and travel times. A departure delay estimation model is developed to account for real-time information inaccuracy. A novel Markov decision model is formulated and solved with online backward induction. Through synthetic experiments and case studies, we demonstrate that dynamic routing with real-time information can improve delivery reliability and reduce expected cost.     

绿色货运发展的问题与对策研究

发展绿色货运对促进货运行业节能减排,提高运输效率具有十分重要的意义。本文首先介绍了绿色货运产生的背景,接着阐述了绿色货运的内涵,然后探讨了我国发展绿色货运中存在的主要问题,最后提出了发展绿色货运的对策与建议。     

Adding a freight network to a national interstate input–output model: a TransNIEMO application for California

The state of the nation’s infrastructure is the subject of widespread discussion and comment because it is thought to include many deteriorating and unsafe bridges. Ever since the terrorist attacks of 9/11, there has been increasing concern over the extent to which an attack on infrastructure could result in serious economic disruption. This research develops a model to analyze the economic consequences of an attack on a major element of the highway network. We add a freight network to a national multiregional economic impact model and make freight traffic flows endogenous. The use of a sub-national interstate model recognizes that most infrastructure planning is at the state level and most political leaders’ interest is local. We base our approach on the National Interstate Economic Model (NIEMO) and refer to an elaboration that we name Transportation network and the National Interstate Economic Model (TransNIEMO). The new model enables us to study the state-specific and industry-specific economic impacts of some significant changes in the nature of highway freight movements. We tested the model for selected freight movements in and out of California. The results are entirely plausible and encourage us to elaborate and test the model for hypothetical disruptions of freight traffic throughout the US.     

Modeling green vehicle adoption: An integrated approach for policy evaluation

This article employs an integrated discrete-continuous car ownership model to jointly forecast households’ future preferences on vehicle type, quantity and use, and to estimate greenhouse gas (GHG) emissions. The model system is estimated on a dataset collected from a web-based stated preference survey conducted in Maryland in 2014. The data contain vehicle purchase decisions and sociodemographic information of 456 households who were requested to state their future preferences over a 9-year period (2014–2022). In each time period, a respondent is faced to four alternatives that include the current vehicle, a new gasoline vehicle, a new hybrid electric vehicle, and a new battery electric vehicle. Intertemporal choices between conventional and “green” vehicles such as hybrid and electric cars capture dynamics in vehicle purchase decisions. Short run and medium-long run situations were predicted and compared based on the first 4-year data and the entire 9-year data of the dynamic panel. Vehicle GHG emissions were calculated correspondingly. We find the introduction of “green” vehicles makes a positive impact on car ownership and use, especially in a medium-long run. Two “green” taxation policies, gasoline tax and ownership tax, were proposed and their impact on vehicle use and emission reductions was evaluated. Results indicate that: (a) gasoline tax is a more effective way to reduce vehicle miles traveled and GHG emissions and (b) gasoline tax makes a higher impact on car use and emission reductions in the medium-long run, while ownership tax makes a higher impact in the short run.