A new perspective on the competitiveness of nations

The capability of firms to survive and to have a competitive advantage in global markets depends on, amongst other things, the efficiency of public institutions, the excellence of educational, health and communications infrastructures, as well as on the political and economic stability of their home country. The measurement of competitiveness and strategy development is thus an important issue for policy-makers. Despite many attempts to provide objectivity in the development of measures of national competitiveness, there are inherently subjective judgments that involve, for example, how data sets are aggregated and importance weights are applied. Generally, either equal weighting is assumed in calculating a final index, or subjective weights are specified. The same problem also occurs in the subjective assignment of countries to different clusters. Developed as such, the value of these type indices may be questioned by users. The aim of this paper is to explore methodological transparency as a viable solution to problems created by existing aggregated indices. For this purpose, a methodology composed of three steps is proposed. To start, a hierarchical clustering analysis is used to assign countries to appropriate clusters. In current methods, country clustering is generally based on GDP. However, we suggest that GDP alone is insufficient for purposes of country clustering. In the proposed methodology, 178 criteria are used for this purpose. Next, relationships between the criteria and classification of the countries are determined using artificial neural networks (ANNs). ANN provides an objective method for determining the attribute/criteria weights, which are, for the most part, subjectively specified in existing methods. Finally, in our third step, the countries of interest are ranked based on weights generated in the previous step. Beyond the ranking of countries, the proposed methodology can also be used to identify those attributes that a given country should focus on in order to improve its position relative to other countries, i.e., to transition from its current cluster to the next higher one

Quality of social networks and educational investment decisions

All individuals belong to a social network with certain quality level. This paper analyzes the role of the quality of the social network in the educational decision making process. We propose a measure for quality of network based on the schooling level and the labor position of the members of the net. Our analysis compares individuals who are similar in at least two characteristics: socioeconomic level and intellectual ability. Although they belong to the same type of community (poor), they differ in the composition of their social network. The higher the quality of the network, the higher the probability of investing in education. Hence, socially disadvantaged and equally intelligent individuals may end up acquiring different schooling levels.

HOW BIG IS YOUR NEIGHBORHOOD? SPATIAL IMPLICATIONS OF MARKET PARTICIPATION BY SMALLHOLDER LIVESTOCK PRODUCERS

Identifying ways to increase market participation by smallholder producers requires identifying variables that influence market access. This is usually achieved using probit estimation. An important phenomenon affecting entry decision-making is the entry decision of a 'similar' household, where similarity is measured in terms of 'location.' When neighborhood influences are significant, it is important to allow for them in discrete decision contexts, such as probit estimation. This paper, therefore, assesses the magnitude of neighborhood influences in smallholder decisions concerning market entry. The empirical model is based on a cross-section of (110) farms situated in northern Philippines, visited (twice) in the 2000-2001 production year (a panel of 220 observations). The vehicle for analysis is a Bayesian formulation of a standard probit model, but one that allows for spatial autoregression in the decision vector. Estimation requires a Metropolis-step addition to a basic Gibbs sampling algorithm and generates useful insights concerning quantities that are important for market-access policy.Livestock Production/Industries,

The Effect of Maternal Work Conditions on Child Development

This study goes beyond the much-studied impact of mothers' labor force participation on children's development and investigates how mothers' working environment affects children's cognitive and non-cognitive performance. Using data from the Child Development Supplement of the Panel Study of Income Dynamics and the Occupational Information Network and applying a value added plus specification we find a negative impact of the hazards involved in mothers' jobs on their children’s non-cognitive achievement, but not on their cognitive performance. Nevertheless, stratification according to mothers' verbal skills reveals that only the personality development of children of mothers with high verbal skills is affected. Upon further investigation,we find that a possible mechanism through which maternal work conditions affect child outcomes is through reduced mother-child interactionsChild Development, Maternal Labor Supply, Occupational Disamenities

Culture and Urban Revitalization: A Harvest Document

Advocates have long argued that the economic benefits of the arts and culture provide a firm rationale for public support. Recent scholarship on the "creative class" and "creative economy" is simply the latest effort to link cultural expression to community prosperity. In contrast, the social benefits of cultural engagement have received relatively little attention, even though -- as we shall see -- they provide a stronger case.We need to avoid a simplistic either-or choice between the economic and social impacts of the arts. People who live in our cities, suburbs, and countryside are simultaneously consumers, workers, residents, citizens, and participants. Culture's role in promoting community capacity and civic engagement is central to its potential for generating vital cultural districts. To separate the economic and the social impacts of the arts makes each more difficult to understand.This document provides an overview of the state-of-the-art literature on culture and urban revitalization. In Part 2, we place the creative sector in contemporary context with a discussion of three social dynamics. The "new urban reality" has restructured our cities by increasing social diversity -- fueled by new residential patterns, the emergence of young adult districts, and immigration; expanding economic inequality; and changing urban form. Shifts in the economic and political environment have changed the structure of the creative sector. Finally, the changing balance of government, nonprofit, and for-profit institutions in social policy development -- the shift to transactional policymaking -- has profound implications for cultural policy and the creative sector broadly defined. These three forces -- the new urban reality, the changing structure of the creative sector, and the emergence of transactional policy-making -- define the context within which culture-based revitalization takes place

THE EMERGENCE OF A KNOWLEDGE AGGLOMERATION: A SPATIO-TEMPORAL ANALYSIS OF INTELLECTUAL CAPITAL IN INDIANA

U.S. States and communities increasingly compete for intellectual power so as to thrive toward an economically vibrant setting that spurs the entrepreneurial spirit and attracts businesses and industries from around the world. As a recent report by the U.S. census reveals, 17 U.S. States have gained such intellectual power through the net inmigration of young, single and college educated persons. The State of Indiana is among the remaining thirty-three States that have a negative net balance, even ranking among the bottom ten in their ability to attract this highly valued population segment. In fact, for every young, single, college educated inmigrant, Indiana loses nearly two to other states. However, an analysis at the state-level hides important small-scale variations. This paper therefore investigates the processes leading to changes in the spatial distribution of knowledge workers across Indiana counties, with emphases on in-situ change, retention, intra- and interstate migration. The analysis shows that these demographic changes at the county level in fact reveal a less bleak picture than the state-wide aggregate figures suggest, and uncover remarkable peaks in the landscape of intellectual capital that can serve as a catalyst for attracting intellectual capital from outside the State.

Interactions between neighborhood social environment and walkability to explain Belgian older adults' physical activity and sedentary time

This study examined associations between neighborhood social factors and physical activity (PA) and sedentary behavior (SB) in older adults. Furthermore, possible moderating effects of neighborhood walkability were explored. Data from 431 community-dwelling Belgian older adults (>= 65 years) were analyzed. Neighborhood social factors included measures of neighboring, social trust and cohesion and social diversity. Neighborhood walkability was measured objectively. Outcome measures were self-reported weekly minutes of domain-specific walking and TV viewing, and accelerometer-assessed weekly minutes of moderate-to-vigorous physical activity (MVPA) and overall SB. A higher frequency of talking to neighbors was associated with higher levels of self-reported walking for transport and for recreation. Moderation analyses showed that only in highly-walkable neighborhoods, higher social diversity of the neighborhood environment was associated with more transport walking; and talking to neighbors and social interactions among neighbors were negatively associated with overall SB and television viewing, respectively. Findings suggest that a combination of a favorable neighborhood social and physical environment are important to promote older adults' PA and limit SB