Endogenous liberalization and within-country inequality

We model and empirically test the link between income inequality and trade liberalization. We consider a society in which a median voter (MV) will make the decision as to whether the country should switch from its current regime of import substitution (IS) (which protects agriculture) to export promotion (EP). Liberalization entails starting importing the agricultural good and specializing in and exporting the manufacturing good. This will require transferring labor to manufacturing. We find that if MV is a worker, the IS-EP switch will take place regardless. If MV is a farmer, the switch will take place given (1) the relative productivity of an ex-farmer and worker in manufacturing,ß is high, and (2) the society’s tastes for agricultural goods, α, are not as strong as those for manufacturing goods. We also find that, following a switch, the income distribution too will improve if α is low and ß is high. In our empirical analysis, we find the endogenous inflection points of α and ß in our sample, at which the direction of change in income distribution alters its sign. Our results also show in a very robust fashion that, EP regimes - on average and with the presence of certain control variables - have better income distributions than IS regimes. This implies that mostly “right” countries have made the switch.

Aggregate uncertainty in the citizen candidate model yields extremist parties

We extend the citizen candidate model of electoral competition with sincere voting to allow for k ≥ 2 states of aggregate uncertainty. We discuss and characterize the equilibrium set in this framework. We provide conditions for the existence of two-party equilibria when k = 2 and show that the policies of the two parties in any such equilibrium are not only divergent but that the parties are extremist: when the political mood is left-wing, the left-wing party wins decisively with a platform that is to the left of the left-wing median voter, while when the political mood is right-wing, the right-wing party wins decisively with a platform that is to the right of the right-wing median voter. We then provide conditions under which such equilibria remain robust for an arbitrary value of k.

The median and its extensions

We review various representations of the median and related aggregation functions. An advantage of the median is that it discards extreme values of the inputs, and hence exhibits a better central tendency than the arithmetic mean. However, the value of the median depends on only one or two central inputs. Our aim is to design median-like aggregation functions whose value depends on several central inputs. Such functions will preserve the stability of the median against extreme values, but will take more inputs into account. A method based on graduation curves is presented.

Aggregation for Atanassov's intuitionistic and interval valued fuzzy sets: the median operator

Atanassov's intuitionistic fuzzy sets (AIFS) and interval valued fuzzy sets (IVFS) are two generalizations of a fuzzy set, which are equivalent mathematically although different semantically. We analyze the median aggregation operator for AIFS and IVFS. Different mathematical theories have lead to different definitions of the median operator. We look at the median from various perspectives: as an instance of the intuitionistic ordered weighted averaging operator, as a Fermat point in a plane, as a minimizer of input disagreement, and as an operation on distributive lattices. We underline several connections between these approaches and summarize essential properties of the median in different representations.

Upgrading arc median shortest path problem for an urban transportation network

In this paper, we propose an algorithm for an upgrading arc median shortest path problem for a transportation network. The problem is to identify a set of nondominated paths that minimizes both upgrading cost and overall travel time of the entire network. These two objectives are realistic for transportation network problems, but of a conflicting and noncompensatory nature. In addition, unlike upgrading cost which is the sum of the arc costs on the path, overall travel time of the entire network cannot be expressed as a sum of arc travel times on the path. The proposed solution approach to the problem is based on heuristic labeling and exhaustive search techniques, in criteria space and solution space, respectively. The first approach labels each node in terms of upgrading cost, and deletes cyclic and infeasible paths in criteria space. The latter calculates the overall travel time of the entire network for each feasible path, deletes dominated paths on the basis of the objective vector and identifies a set of Pareto optimal paths in the solution space. The computational study, using two small-scale transportation networks, has demonstrated that the algorithm proposed herein is able to efficiently identify a set of nondominated median shortest paths, based on two conflicting and noncompensatory objectives.

Solving the median shortest path problem in the planning and design of urban transportation networks using a vector labeling algorithm

This paper proposes an alternative algorithm to solve the median shortest path problem (MSPP) in the planning and design of urban transportation networks. The proposed vector labeling algorithm is based on the labeling of each node in terms of a multiple and conflicting vector of objectives which deletes cyclic, infeasible and extreme-dominated paths in the criteria space imposing cyclic break (CB), path cost constraint (PCC) and access cost parameter (ACP) respectively. The output of the algorithm is a set of Pareto optimal paths (POP) with an objective vector from predetermined origin to destination nodes. Thus, this paper formulates an algorithm to identify a non-inferior solution set of POP based on a non-dominated set of objective vectors that leaves the ultimate decision to decision-makers. A numerical experiment is conducted using an artificial transportation network in order to validate and compare results. Sensitivity analysis has shown that the proposed algorithm is more efficient and advantageous over existing solutions in terms of computing execution time and memory space used.

An algorithm to median shortest path problem (MSPP) in the design of urban transportation networks

This paper proposes an efficient solution algorithm for realistic multi-objective median shortest path problems in the design of urban transportation networks. The proposed problem formulation and solution algorithm to median shortest path problem is based on three realistic objectives via route cost or investment cost, overall travel time of the entire network and total toll revenue. The proposed solution approach to the problem is based on the heuristic labeling and exhaustive search technique in criteria space and solution space of the algorithm respectively. The first labels each node in terms of route cost and deletes cyclic and infeasible paths in criteria space imposing cyclic break and route cost constraint respectively. The latter deletes dominated paths in terms of objectives vector in solution space in order to identify a set of Pareto optimal paths. The approach, thus, proposes a non-inferior solution set of Pareto optimal paths based on non-dominated objective vector and leaves the ultimate decision to decision-makers for purpose specific final decision during applications. A numerical experiment is conducted to test the proposed algorithm using artificial transportation network. Sensitivity analyses have shown that the proposed algorithm is advantageous and efficient over existing algorithms to find a set of Pareto optimal paths to median shortest paths problems.

Young adults and politics: investigating factors influencing voter decision making

Many parallels have been drawn between politics and marketing; however, the application of consumer behavior decision making to voter decision making is still an important research focus. Results from general elections around the world show that the turnout among young adults tends to be lower than in the general electorate, suggesting low interest and involvement in politics. This qualitative study investigated low-involvement decision making of young adult voters in Australia. Data were compiled from semistructured face-to-face interviews conducted with 29 young adults to explore their views, and NVivo software was used to assist with thematic analysis. Findings suggest that with low-involvement voter decision making, perceived knowledge and passive information seeking are important factors. Exposure to the media also plays an important role, and young voters rely more on traditional media such as newspapers and television than on social media for current political information.

Evaluating young adult voter decision-making involvement within a compulsory political system

Purpose - This study aims to specifically focus on the lower-involvement young adult voters within the Australian compulsory voting context. It explores voters’ political decision-making by considering the influence of the consumer behaviour theory of involvement. Design/methodology/approach - A thematic analysis was conducted to analyse the interviews within the two research questions: information seeking and decision-making. Findings - Key themes within information seeking are the reach of the information available, the frequency of the information presented, the creativity of the message and one-way versus two-way communication. Key themes within evaluation are promise keeping/trust, achievements or performance and policies. Lower-involvement decision-making has the potential to be a habitual, limited evaluation decision. However, issues of trust, performance and policies may encourage evaluation, thereby reducing the chances of habitually voting for the same party as before. Practical implications - This new area of research has implications for the application of marketing for organisations and political marketing theory. Considering voting decision-making as a lower-involvement decision has implications for assisting the creation and adaptation of strategies to focus on this group of the population. Originality/value - The compulsory voting environment creates a unique situation to study lower-involvement decision-making, as these young adults are less likely to opt out of the voting process. Previous research in political marketing has not specifically explored the application of involvement to young adult voting within a compulsory voting environment.

Enriching understanding of young adult voter decision-making in the Australian compulsory voting context

This thesis has provided insight into considering how the consumer behaviour theoretical concept of usage impacts on lower-involvement young adult voter decision-making within the Australian compulsory voting context. This differentiated replication of previous research extends the range of results under which decision-making factors hold in voter behaviour.