Can tourism be part of the decarbonized global economy? The costs and risks of alternate carbon reduction policy pathways

Global leaders agree on the need to substantially decarbonize the global economy by 2050. This paper compares potential costs associated with different policy pathways to achieve tourism sector emission reduction ambitions (?50% by 2035) and transform the sector to be part of the mid-century decarbonized economy (?70% by 2050). Investment in emissions abatement within the tourism sector, combined with strategic external carbon offsets, was found to be approximately 5% more cost effective over the period 2015–2050 than exclusive reliance on offsetting. The cost to achieve the ?50% target through abatement and strategic offsetting, while significant, represents less than 0.1% of the estimated global tourism economy in 2020 and 3.6% in 2050. Distributed equally among all tourists (international and domestic), the cost of a low-carbon tourism sector is estimated at US$11 per trip, equivalent to many current travel fees or taxes. Exclusive reliance on offsetting would expose the sector to extensive and continued carbon liability costs beyond mid-century and could be perceived as climate inaction, increasing reputational risks and the potential for less efficient regulatory interventions that could hinder sustainable tourism development. Effective tourism sector leadership is needed to develop a strategic tourism policy framework and emission measurement and reporting system.     

Comparing Interpersonal Comparisons in Utility Theory and Happiness Research

Social scientists are reluctant to make explicit interpersonal comparisons of well-being. However, implicit comparisons are made on a surprisingly regular basis. These comparisons are based on the wealth and the Kaldor–Hicks concept in utility theory and on self-reported well-being in happiness research. Taking a utilitarian stance, this paper tests the ethical foundations of both principles. While self-reported well-being serves as an acceptable proxy for utilitarian decision-making, the Kaldor–Hicks concept does not appear so. Implications for evaluating policies are outlined.

Federalism and decentralization—a critical survey of frequently used indicators

The economic effects of federalism are unclear: some papers find that federalism has strong positive effects on a number of economically relevant variables, others find negative effects. The results often crucially hinge on the proxies for federalism used. In this paper, we critically survey the existing indicators for both federalism and fiscal decentralization. We argue that federalism is a constitutional institution, whereas decentralization is the outcome of a policy choice, and that the two ought to be systematically distinguished because decentralization can also occur in nonfederally structured states. We further argue that institutional details are very important with regard to federalism and that dummy variables usually capture only very specific aspects of these institutional details. We use factor analysis to test whether the latent variables behind the observed indicators support these assumptions. More than two important factors are derived, implying that a more fine-grained differentiation beyond simply “‘federalism” and “decentralization” might be in order. The correlations of the most important proxies for various aspects of federalism and decentralization with a number of quasi-exogenous variables, as well as with institutional variables, are usually rather modest.     

Leseliste Top 5: Beteiligungscontrolling

PRAXIS | Magazin

Leseliste Top 5: Beteiligungscontrolling     

ECB repo rate setting during the financial crisis

I estimate a reaction function for the ECB using an ordered logit model for the period 1999-2009. Allowing for a smooth transition from one set of parameters to another, I detect a rapid change in the middle of 2008.     

Hub location problems in transportation networks

In this paper we propose a 4-index formulation for the uncapacitated multiple allocation hub location problem tailored for urban transport and liner shipping network design. This formulation is very tight and most of the tractable instances for MIP solvers are optimally solvable at the root node. While the existing state-of-the-art MIP solvers fail to solve even small size instances of problem, our accelerated and efficient primal (Benders) decomposition solves larger ones. In addition, a very efficient greedy heuristic, proven to be capable of obtaining high quality solutions, is proposed. We also introduce fixed cost values for Australian Post (AP) dataset.