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The economic law of population distribution and migration has been studied chiefly based on the Chinese situation. The distribution and development of productive forces decide the distribution and migration of population, and in turn, the latter influences the former. The population distributions in three different stages of social development, namely agricultural, industrial and information society, are described. A new concept in population economics is introduced, i.e. population economic density, which is different from the concept of population density. The formula of population economic density is P(population)/R(resources). Many kinds of migration are analysed, and it is believed that the main efficient cause of migration is economy.

Sports facilities can play a vital role in encouraging physical activity and sport. Also, just the distribution of sports facilities is very important for better access to these facilities. Therefore, the purpose of this study is to evaluate spatial justice in the distribution of built outdoor sports facilities in the city of Isfahan, Iran and provide insight for planning in terms of equitable accessibility.

All facilities located in the 15 areas of the city, whether private or public, built for the purpose of physical activity and sports programs were considered in this study (107 cases). To obtain information on the locations of the outdoor sports facilities, Isfahan Atlas data, which has been compiled by Isfahan Municipality was used. Arc geographic information systems environment and its different algorithms were also used to perform different calculations and prepare maps.

The results indicated the unfair distribution of built outdoor sports facilities in the city of Isfahan in terms of spatial justice based on the number of built outdoor sports facilities in each area, the population, land area, population density and the spatial pattern of the facilities.

In this regard, urban authorities and sport managers should make an effort to decrease or obviate inequity in access to outdoor sports facilities for the purpose of promoting participation in physical activity and sport and providing residents with numerous other benefits.

This paper has concluded that spatial justice in the distribution of built outdoor sports facilities for the improvement of access to these facilities is very important.

Purpose – The purpose of this chapter is to project the global emergence of megacities through the 21st century using population scenarios consistent with the Special Report on Emissions Scenarios (SRES) of the Intergovernmental Panel on Climate Change (IPCC).

Methodology – A dynamic urban growth model is developed based on a scale-independent theory of growing networks taking into consideration the geographical and climatic suitability of the location of cities. The model is able to generate a series of megacity projections consistent with an experimental city size distribution based on a national urban population scenario consistent with Zipf's law. The model is applied to population projections for 45,316 cities around the world using three population scenarios from SRES.

Findings – All of the projections indicate that a large number of megacities will be generated in developing regions towards 2100, although the range is wide and depends on the population assumed in the scenarios. Some results indicate an extreme population concentration in megacities; this might be undesirable for national security, quality of life, and sustainable development. Transport policies affect urban growth and national land development through changes in mobility and accessibility across the nation.

Implications – The results presented in this chapter could serve to stimulate discussions on urban and national transport policies and planning, particularly in China.

We examine sample characteristics and elicited survey measures of two studies, the Health and Retirement Study (HRS), where interviews are done either in person or by phone, and the Understanding America Study (UAS), where surveys are completed online and a replica of the HRS core questionnaire is administered. By considering variables in various domains, our investigation provides a comprehensive assessment of how Internet data collection compares to more traditional interview modes. We document clear demographic differences between the UAS and HRS samples in terms of age and education. Yet, sample weights correct for these discrepancies and allow one to satisfactorily match population benchmarks as far as key socio- demographic variables are concerned. Comparison of a variety of survey outcomes with population targets shows a strikingly good fit for both the HRS and the UAS. Outcome distributions in the HRS are only marginally closer to population targets than outcome distributions in the UAS. These patterns arise regardless of which variables are used to construct post-stratification weights in the UAS, confirming the robustness of these results. We find little evidence of mode effects when comparing the subjective measures of self-reported health and life satisfaction across interview modes. Specifically, we do not observe very clear primacy or recency effects for either health or life satisfaction. We do observe a significant social desirability effect, driven by the presence of an interviewer, as far as life satisfaction is concerned. By and large, our results suggest that Internet surveys can match high-quality traditional surveys.

Long-run changes in living standards occupy an important place in development and growth economics, as well as in economic history. An extensive literature uses heights to study historical living standards. Most historical heights data, however, come from selected subpopulations such as volunteer soldiers, raising concerns about the role of selection bias in these results. Variations in sample mean heights can reflect selection rather than changes in population heights. A Roy-style model of the decision to join the military formalizes the selection problem. Simulations show that even modest differential rewards to the civilian sector produce a military heights sample that is significantly shorter than the cohort from which it is drawn. Monte Carlos show that diagnostics based on departure from the normal distribution have little power to detect selection. To detect height-related selection, we develop a simple, robust diagnostic based on differential selection by age at recruitment. A companion paper (H. Bodenhorn, T. Guinnane, and T. Mroz, 2017) uses this diagnostic to show that the selection problems affect important results in the historical heights literature.

Control charts and process capability calculations remain fundamental techniques for statistical process control. However, it has long been realized that the accuracy of these calculations can be significantly affected when sampling from a non‐Gaussian population. Many quality practitioners are conscious of these problems but are not aware of the effects such problems might have on the integrity of their results. Considers non‐normality with respect to the use of traditional control charts and process capability calculations, so that users may be aware of the errors that are involved when sampling from a non‐Gaussian population. Use is made of the Johnson system of distributions as a simulation technique to investigate the effects of non‐normality of control charts and process control calculations. An alternative technique is suggested for process capability calculations which alleviates the problems of non‐normality while retaining computational efficiency.

The authors discuss the econometric underpinnings of Barro (2006)'s defense of the rare disaster model as a way to bring back an asset pricing model “into the right ballpark for explaining the equity-premium and related asset-market puzzles.” Arbitrarily low-probability economic disasters can restore the validity of model-implied moment conditions only if the amplitude of disasters may be arbitrary large in due proportion. The authors prove an impossibility theorem that in case of potentially unbounded disasters, there is no such thing as a population empirical likelihood (EL)-based model-implied probability distribution. That is, one cannot identify some belief distortions for which the EL-based implied probabilities in sample, as computed by Julliard and Ghosh (2012), could be a consistent estimator. This may lead to consider alternative statistical discrepancy measures to avoid the problem with EL. Indeed, the authors prove that, under sufficient integrability conditions, power divergence Cressie-Read measures with positive power coefficients properly define a unique population model-implied probability measure. However, when this computation is useful because the reference asset pricing model is misspecified, each power divergence will deliver different model-implied beliefs distortion. One way to provide economic underpinnings to the choice of a particular belief distortion is to see it as the endogenous result of investor's choice when optimizing a recursive multiple-priors utility a la Chen and Epstein (2002). Jeong et al. (2015)'s econometric study confirms that this way of accommodating ambiguity aversion may help to address the Equity Premium puzzle.

This study aims to explore the pattern of urban residents’ socio-spatial distribution in a small-sized city where the local housing market capacity and variety is limited.

Spatial variation was reflected by two different analysis. First, factor analysis was applied to determine the major dimensions of the social, economic and housing environment in the investigation area. Second, Kriging maps, which depict the socio-spatial distribution pattern of the households according to major dimensions, were produced by interpolating factor scores on a continuous surface. Those were supported by complementary exploratory analysis to deepen the discussion.

Homogenous distribution of similar groups to housing areas and low inner differentiation particularly within lower income neighborhoods are the noticeable results of the analysis set. Ethnicity and income differentiation are the principal determinants of socio-spatial distribution pattern in our case. The constraints of the local housing market are seemed to facilitate spatial separation. Disadvantaged population groups are limited to small niches within the urban fabric; they are relegated to poor quality neighborhoods or to unpopular inner-city housing estates.

This research has been performed for the small size city in Turkey and may not hold for other areas, even though the methodology can be replicated and the mechanisms at play are quite similar elsewhere.

The internal differentiation of urban residents’ is worth investigation to develop consistent housing and planning policies to overcome prospective social exclusion problems. This study has a potential of remarking the importance of policy-based economic and housing development in smaller cities in Turkey.

Analyses displayed a sectoral structure of the distribution of urban residents but lower inner differentiation within neighborhoods. Limitations of the housing stock facilitate substantial level of isolation to the extent of ethnicity. Two different ethnic groups are confined to small niches, and they are ethnically and economically tied down to their neighborhoods. The physical properties and the quality of both dwellings and the housing environment are the poorest in these areas, and these are unpopular housing areas by the majority of the population. These findings are supposed to give direction of setting consistent housing policies in the case area.

This research is one of the initial research on socio-spatial distribution of urban residents to housing areas in Turkey. It is also one of the rare examples of socio-spatial differentiation study in small-sized city in the literature. The authors have shown that socio-spatial differentiation would be severe even in small size housing markets as opposed to expectation.

Due to the growing percentage share of urban dwellers, the physical distribution of products faces altering conditions. This research explores the effects that urbanization has on the performance of a fast-moving consumer goods distribution network. A focus is set on changes in distribution cost, the cost-minimal network design, and greenhouse gas emissions.

The analyses are based on a quantitative distribution network model of an existing manufacturer of consumer goods.

The results indicate that the foreseen population shift will affect the network's economic and environmental performance. Effects are, among others, due to differences in the efficiency of supplying urban and nonurban regions. The combined effects of urbanization and the development of the population size will even more affect the network's performance.

Research dealing with distribution logistics and urbanization primarily focuses on city logistics. In this paper, the object of analysis is the entire distribution system.

Choice under risk has a large stochastic (unpredictable) component. This chapter examines five stochastic models for binary discrete choice under risk and how they combine with “structural” theories of choice under risk. Stochastic models are substantive theoretical hypotheses that are frequently testable in and of themselves, and also identifying restrictions for hypothesis tests, estimation and prediction. Econometric comparisons suggest that for the purpose of prediction (as opposed to explanation), choices of stochastic models may be far more consequential than choices of structures such as expected utility or rank-dependent utility.