Urban Economics

Urban Studies ◽  
2020 ◽  
Author(s):  
Kristian Behrens ◽  
Jacques-François Thisse

Location matters. The most striking example is the highly uneven distribution of population and wealth across space. For example, cities occupy approximately 2 percent of the Earth’s land surface, but host more than half of the world’s population and produce about 80 percent of its economic output. The twenty most populous US metropolitan statistical areas (MSAs) account for almost 45 percent of the total US population and produce 52.2 percent of total US GDP on barely 15.2 percent of total US surface. Similar patterns hold for other countries, with even starker concentrations of population and economic activity in the growing megalopolises of developing countries. This entry discusses why population and economic activity are not more evenly spread across space. The first reason that comes to mind is that places are intrinsically heterogeneous along different dimensions such as topography, resource endowments, access to natural transportation routes, or climate. More importantly, what makes a location desirable to an agent is the unintended byproduct of the other agents’ location choices: everyone cares about her own position, but the actual choice is relative to those of the others. To put it differently, the desirability of a specific location depends on where the others are located. This simple fact is the essence of spatial equilibrium, a formal concept used by economists to analyze the spatial distribution of economic agents and activity. It describes a situation where each economic agent optimally chooses her own location—taking the locations of the others as given—and where these interdependent location choices are mutually compatible. The outcome is determined by the interplay between two sets of competing forces. First, everything else equal, agents want to be close together (“agglomeration forces”). This comes from the fact that moving people, goods, and ideas across space is costly, which pushes toward geographic concentration to reduce these costs and increase the benefits generated by clustering. Second, everything else equal, there are limits to geographic concentration at any point in space, which tends to push agents apart (“dispersion forces”). The main limits to agglomeration lie in competition for land, which is an immobile good in (more or less) limited supply, and different other negatives—congestion, noise, pollution—that increase with geographic concentration. Because only a limited number of agents can be spatially close to each other, most interactions occur across distant locations and are, therefore, costly. Each agent trades off the benefits generated by the agglomeration forces and the costs generated by the dispersion forces to choose his or her own location, which depends on where the others are located. The resulting spatial equilibrium is the outcome of these interdependent optimization processes carried out by economic agents who pursue their own interests.

2021 ◽  
pp. 1-26
Author(s):  
Shota Fujishima ◽  
Daisuke Oyama

Abstract We present a multiregional endogenous growth model in which forward-looking agents choose their regions to live in, in addition to consumption and capital accumulation paths. The spatial distribution of economic activity is determined by the interplay between production spillover effects and urban congestion effects. We characterize the global stability of the spatial equilibrium states in terms of economic primitives such as agents’ time preference and intra- and interregional spillovers. We also study how macroeconomic variables at the stable equilibrium state behave according to the structure of the spillover network.


2014 ◽  
Vol 20 (3) ◽  
pp. 845-855 ◽  
Author(s):  
Pei Kuang

This paper introduces imperfect knowledge and learning behavior of economic agents into the Kiyotaki and Moore model and studies the interaction of agents' collateral price beliefs, collateral constraint, and aggregate economic activity over the business cycle. It establishes the E-stability condition and the convergence of the real time learning process. In addition, it shows that learning strengthens the role of collateral constraints in aggregate fluctuations.


2020 ◽  
Author(s):  
Cristian I. Meghea ◽  
Barrett Wallace Montgomery ◽  
Roni Ellington ◽  
Ling Wang ◽  
Clara Barajas ◽  
...  

ABSTRACTBackgroundHealth disparities are pervasive and are linked to economic losses in the United States of up to $135 billion per year. The Flint Center for Health Equity Solutions (FCHES) is a Transdisciplinary Collaborative Center for health disparities research funded by the National Institute of Minority Health and Health Disparities (NIMHD). The purpose of this study was to estimate the economic impact of the 5-year NIH investment in FCHES in Genesee County, Michigan.MethodsThe estimated impacts of FCHES were calculated using a U.S.-specific input/output (I/O) model, IMPLAN, from IMPLAN Group, LLC., which provides a software system to access geographic specific data regarding economic sector interactions from a variety of sources. This allowed us to model the cross-sector economic activity that occurred throughout Genesee County, Michigan, as a result of the FCHES investment. The overall economic impacts were estimated as the sum of three impact types: 1. Direct (the specific expenditures impact of FCHES and the Scientific Research and Development Services sector); 2. Indirect (the impact on suppliers to FCHES and the Scientific Research and Development Services sector); and 3. Induced (the additional economic impact of the spending of these suppliers and employees in the county economy).ResultsThe total FCHES investment amounted to approximately $11 million between 2016-2020. Overall, combined direct, indirect, and induced impacts of the total FCHES federal investment in Genesee County included over 161 job-years, over $7.6 million in personal income, and more than $19.2 million in economic output. In addition, this combined economic activity generated close to $2.3 million in state/local and federal tax revenue. The impact multipliers show the ripple effect of the FCHES investment. For example, the overall output of over $19.2 million led to an impact multiplier of 1.75 – every $1 of federal FCHES investment led to an additional $.75 of economic output in Genesee County.ConclusionsThe FCHES research funding yields significant U.S. direct economic impacts above and beyond the direct NIH investment of $11 million. The economic impact estimation method may be relevant and generalizable to other TCCs or other large research centers such as FCHES.


Author(s):  
S.G. Marichev ◽  

The paper performs the results of analysis due to the problem of categorization and classification of digital economy in order to assess its contribution to economic growth. The evolution of approaches to understanding the concept of digital economy is noted – evolution from Internet economy to perception of digital technologies as a factor in any economic activity. We analyzed one of the models categorizing digital economy, based on assessing the need for the use of digital technologies (it includes three categories – the ICT sector, the digital economy itself, the digitalized economy), and also indicated the shortcomings of the concept, in particular, impossibility to reliably determine the critical need of using digital technologies for different types of economic activity, thus they fall into related categories according to the classification. In addition, the paper analyzes the possibility of classifying the digital economy as a knowledge economy for further more accurate definition and categorization of "digital economy" concept. Based on the results of the analysis, key features of digital economy were identified for the further development of updated concept of digital economy and possibility of optimal categorization during further research. These features include science intensity, which is, among other things, cause existing difficulties in categorizing economic sectors and attributing them to the digital sector due to the diffusion of knowledge (and specifically digital technologies as the final result of knowledge accumulation), as well as their extensive penetration into most economic processes. As a result, it is necessary to develop a toolkit that can quantify the value of science intensity (manufacturability) of a particular sector of the economy in order to most accurately categorize and assess the contribution of the digital economy to economic growth. The second key feature of the digital economy is the reduction of transaction costs of interaction between economic agents (based on the concept of horizontal, vertical and diagonal costs by J. Commons) as a result of using digital products.


2021 ◽  
Vol 20 (25) ◽  
Author(s):  
Simon Gray

Some central banks have maintained overvalued official exchange rates, while unable to ensure that supply of foreign exchange meets legitimate demand for current account transactions at that price. A parallel exchange rate market develops, in such circumstances; and when the spread between the official and parallel rates is both substantial and sustained, price levels in the economy typically reflect the parallel market exchange rate. “Recognizing reality” by allowing economic agents to use a market clearing rate benefits economic activity without necessarily leading to more inflation. But a unified, market-clearing exchange rate will not stabilize without a supportive fiscal and monetary context. A number of country case studies are included; my thanks to Jie Ren for pulling together all the data for the country case studies, and the production of the charts.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Virgilio Galdo ◽  
Gladys Lopez Acevedo ◽  
Martin Rama

Abstract Despite informality being the norm in conflict-affected countries, most estimates of the impact of conflict on economic activity rely on formal sector data. Using high-frequency data from Afghanistan, this paper assesses how surges in conflict intensity affect not only the formal sector, but also informal and illicit activities. Nighttime light provides a proxy for aggregate economic activity, mobile phone traffic by registered firms captures fluctuations in formal sector output, and the land surface devoted to poppy cultivation gives a measure of illicit production. The unit of observation is the district and the period of reference is 2012–2016. The results show that an increase in conflict-related casualties has a strong negative impact on formal economic activity in the following quarter and a positive effect on illicit activity after two quarters. The impact on aggregate economic activity is negative, but more muted.


Author(s):  
Maria Davě ◽  
Isidora Barbaccia

- This paper examines the links among productive specialization, variety of the economic environment and knowledge spillovers on the basis of the territorial analyses present in the current literature. With the aim of identifying localization benefits in a particular area, some aspects of business settling are compared with trends in the development of economic activities and, particularly, with agglomeration process of the firms. Methods and Results The empirical analysis will be carried out pointing to the dynamics of employment consequent to the effects of the externalities above mentioned. Employment data are taken from the Manufacturing and Service Censuses of the years 1981, 1991 and 2001 and refer to the 77 Sicilian Local Labour Systems. Precisely, data pertain to the following sections of the classification ATECO 2002: Mining and quarrying (C), Manufacturing (D) and Total private services (G, H, I, J, K). We consider some suitable economic indicators to depict the characteristics of concentration: _ localization ratios for studying the evolutionary trends in specialization for different types of economic activity; _ diversity measures, based on a Hirschman-Herfindahl index, suggesting the presence of Jacobs-type dynamic externalities or, on the contrary, the operativeness of MAR dynamic effects; _ competition indices to gather information about the competition levels of the markets depending on their structure; _ agglomeration indices, to measure the geographic concentration of the economic activity connected to high and/or increasing industrial concentration levels in the adjacent LLS. Conclusions The agglomeration process results from inter-sector links, easing the diffusion of innovations thanks to the variety of urban contexts. Agglomeration forces appear to be outweighed, especially since 2001, by the influence of co-agglomeration factors due to the presence, in the same local reality, of small-sized enterprises belonging to different sectors. Owing to the increasing interdependence among sectors, these effects caused a redistribution of employment among the different groups of economic activities. The indexes showed how, during the inter-census gaps, a despecialization trend took over, bringing local production structures constantly closer to the average regional values.


2012 ◽  
Vol 67 (04) ◽  
pp. 693-730 ◽  
Author(s):  
Pierre Gervais

Merchant credit was the main source of profit for economic agents in the eighteenth-century. Managing cash, commercial instruments, and account books, Atlantic traders such as Gradis of Bordeaux—who dealt in colonial products (including indigo, sugar, and coffee) and exported staples (flour and wine) to Quebec—or Hollingsworth of Philadelphia (an important dealer in flour and colonial produce) achieved market domination through specialized credit networks integrating market exchange and both moral and social interactions. Since a Weberian or a Homo Oeconomicus view of these complex credit activities leads to anachronisms, this article eschews standard economic approaches in favor of more historicized views of early modern economic activity, credit networks, and profit-making techniques.


2020 ◽  
Vol 117 (21) ◽  
pp. 11350-11355 ◽  
Author(s):  
Chi Xu ◽  
Timothy A. Kohler ◽  
Timothy M. Lenton ◽  
Jens-Christian Svenning ◽  
Marten Scheffer

All species have an environmental niche, and despite technological advances, humans are unlikely to be an exception. Here, we demonstrate that for millennia, human populations have resided in the same narrow part of the climatic envelope available on the globe, characterized by a major mode around ∼11 °C to 15 °C mean annual temperature (MAT). Supporting the fundamental nature of this temperature niche, current production of crops and livestock is largely limited to the same conditions, and the same optimum has been found for agricultural and nonagricultural economic output of countries through analyses of year-to-year variation. We show that in a business-as-usual climate change scenario, the geographical position of this temperature niche is projected to shift more over the coming 50 y than it has moved since 6000 BP. Populations will not simply track the shifting climate, as adaptation in situ may address some of the challenges, and many other factors affect decisions to migrate. Nevertheless, in the absence of migration, one third of the global population is projected to experience a MAT >29 °C currently found in only 0.8% of the Earth’s land surface, mostly concentrated in the Sahara. As the potentially most affected regions are among the poorest in the world, where adaptive capacity is low, enhancing human development in those areas should be a priority alongside climate mitigation.


Upravlenie ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Petr Wawrosz ◽  
Radim Valenchik ◽  
Ondrei Roubal ◽  
Svetlana Sazanova

The development of modern economic theory is influenced by various factors of the external and internal environment. The factors of the external environment include: changes in the practice of economic entities, global economy, in the institutional environment, technological changes. The factors of the internal environment include: changes in the field of scientific knowledge in general, as well as changes in the methodology of economic science itself. The main driving force behind the development of economic theory is the evolution of economic paradigms, which has an impact on the methodological choice of researchers, their scientific worldview. An important component of human economic activity are economic communications, the essence and content of which have not been yet sufficiently studied from a theoretical point of view. Since economic communications are closely related to the behavior of economic agents, which affects, in turn, the results of economic activity, their study is an urgent task. The subject of research in the article is the relationship of economic paradigms and ideas about the essence of economic communication. The purpose of the article is to study the influence of the evolution of economic paradigms on the development of scientific ideas about economic communication. The authors have applies following research methods in the scientific paper: the method of rational reconstruction of science, the method of comparative analysis, the method of scientific abstraction and others. The relationship between the evolution of economic paradigms, theories of behavior of economic agents and the understanding of the role of economic communications in economic activity have been revealed. The authors investigated economic communications in the context of the theory of full, limited, procedural rationality, organic irrationality, as well as in the context of the theory of productive consumption. The main scientific results consist in identifying features in the understanding of the essence of economic communications from the point of view of various theories. The results obtained are the basis for the study of the systemic and humanistic foundations of economic communications, as well as the development of recommendations for improving economic communications.


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