A non linear model of the new economic geography for Portugal

With this work we try to present a non linear model for Portugal based on the new economic geography. We built the model taking into account an analyse about the agglomeration process in Portugal, using the New Economic Geography models, in a non linear way . In a non linear way, of referring, as summary conclusion, that with this work the existence of increasing returns to scale and low transport cost, in the Portuguese regions, was proven and, because this, the existence of agglomeration in Portugal.new economic geography; non linear models; Portuguese regions

A non linear model of the new economic geography for Portugal. Another perspective

With this work we try to present a non linear model for Portugal based on the new economic geography. We built the model taking into account an analyse about the agglomeration process in Portugal, using the New Economic Geography models, in a non linear way. In a non linear way, of referring, as summary conclusion, that with this work the existence of increasing returns to scale and low transport cost, in the Portuguese regions, was proven and, because this, the existence of agglomeration in Portugal.new economic geography; non linear models; Portuguese regions

The importance of increasing returns to scale in the process of agglomeration in Portugal: A non linear empirical analysis

With this work we try to analyse the agglomeration process in the Portuguese regions, using the New Economic Geography models. In these models the base idea is that where has increasing returns to scale in the manufactured industry and low transport costs, there is agglomeration. Of referring, as summary conclusion, that with this work the existence of increasing returns to scale and low transport cost, in the Portuguese regions, was proven and as such the existence of agglomeration in Portugal.new economic geography; non linear models; Portuguese regions

Geography and Economic Development

This paper addresses the complex relationship between geography and macroeconomic growth. We investigate the ways in which geography may matter directly for growth, controlling for economic policies and institutions, as well as the effects of geography on policy choices and institutions. We find that location and climate have large effects on income levels and income growth, through their effects on transport costs, disease burdens, and agricultural productivity, among other channels. Furthermore, geography seems to be a factor in the choice of economic policy itself. When we identify geographical regions that are not conducive to modern economic growth, we find that many of these regions have high population density and rapid population increase. This is especially true of populations that are located far from the coast, and thus that face large transport costs for international trade, as well as populations in tropical regions of high disease burden. Furthermore, much of the population increase in the next thirty years is likely to take place in these geographically disadvantaged regions.geography, empirical growth models, transportation costs, tropical disease, tropical agriculture, urbanization, population

Divergence – Is it Geography?

This paper tests directly a geography and growth model using regional data for Europe, the US, and Japan during di®erent time periods. We set up a standard geography and growth model with a poverty trap and derive a log- linearized growth equation that corresponds directly to a threshold regression technique in econometrics. In particular, we test whether regions with high population density (centers) grow faster and have a permanently higher per capita income than regions with low population density (peripheries). We find geography driven divergence for US states and European regions after 1980. Population density is superior in explaining divergence to initial income which the most important o±cial EU eligibility criterium for regional aid is built on. Divergence is stronger on smaller regional units (NUTS3) than on larger ones (NUTS2). Thus, the wavelength of agglomeration forces seems to be rather small in Europe. Human capital and R&D are transmission channels of divergence processes. Human capital based poverty trap models are an alternative explanation for regional poverty traps.Keywords: threshold estimation, economic geography, regional income convergence, poverty trap, regime shifts, bootstrap

Geography and Industry Meets Venture Capital

Do certain regions inherently enjoy an advantage in venture capital investment decisions? And how do industry characteristics affect venture capital activity? These questions fall under the reemerging study of economic geography, which suggests the importance of industrial location to economic decision making. Through the lens of economic geography, this paper examines the impact of industrial and regional characteristics on venture capital activities from 1996 to 2005. Analyzing venture capital data with nineteen regions and seventeen industries, this study affirms the significance of geography and industry to investment trends in venture capital.Venture Capital, Venture-Backed Public Companies, Economic Geography, Location, Biotechnology, Business Products and Services, Computers and Peripherals, Consumer Products and Services, Electronics and Instrumentation, Financial Services, Healthcare Services, Industrial and Energy, Information Technology Services, Media and Entertainment, Medical Devices and Equipment, Networking and Equipment, Retailing and Distribution, Semiconductors, Software, Telecommunications.

Do Migrants Follow Market Potentials? An Estimation of a New Economic Geography Model

New Economic Geography models describe a cumulative process of spatial agglomeration: Firms tend to cluster in locations with good access to demand, and similarly, workers are drawn to regions where market potential is high because the price index is lower there. This paper provides an empirical assessment of this forward linkage that relates labour migrations to the geography of production through real wage differentials. In the spirit of Hanson (1998), we use bilateral migration data for five European countries over the 1980s and 1990s to perform quasi-structural estimations of a new economic geography model derived from Krugman (1991). The results show strong evidence in favor of this model. As expected, migrants do follow market potential. Moreover, we provide estimates for all key parameters of the model. These estimates suggest that a sudden emergence of a core-periphery pattern is unlikely within European countries: centripetal forces are too limited in geographical scope, and mobility costs are too high.Agglomeration, economic geography, European regions, migration.

Shifts in Economic Geography and their Causes

This paper analyses some of the forces that are changing the spatial distribution of activity in the world economy. It draws on the 'new economic geography' literature to argue the importance of increasing returns to scale and cumulative causation processes in shaping the productivity and comparative advantage of different regions. In the presence of such increasing returns there may be persistent spatial disparities in productivity. Economic development will tend to be 'lumpy', with some regions (countries, or smaller areas such as cities) experiencing rapid growth and others being left behind.economic geography, urbanisation, world economy, productivity

Putting New Economic Geography to the Test: Free-ness of Trade and Agglomeration in the EU Regions

Based on a new economic geography (NEG) model by Puga (1999), we use the equilibrium wage equation to estimate two key structural model parameters for the NUTS II EU regions. These estimations enable us to come up with an empirically grounded free-ness of trade parameter. In line with NEG theory, the estimation results show that a spatial wage structure exists for the EU regions. By going back to the theoretical model we then analyze the implications of the free-ness of trade parameter for the degree of agglomeration. Our main findings suggest that agglomeration forces still have only a limited spatial reach in the EU. Agglomeration forces appear to be rather localized. At the same time, confronting our empirical results with the underlying new economic geography model also brings out the limitations of empirical research in new economic geography.

Chapter 1 Economic Integration and Industry Location: Theories, Empirical Results, and Implications for CLMV

Trade affects the internal location of industry in two ways: it induces firms to specialize and it expands the set of markets that firms serve. If there are industry-specific external economies, firms in related industries will spatially agglomerate (Hanson 1996a). In the context of economic integration, diminished barriers to trade affect industry location particularly in less developed countries. As described below, regional agreements in North America and Europe have caused frontier regions to expand. These regions, which include border regions and port cities, have advantages over internal regions in terms of access to foreign markets. Since trade liberalization induces many firms in developing countries to participate in production networks and to specialize in labor-intensive activities such as assembling and processing of foreign-made components, their inputs as well as final products need to be carried across borders. Therefore, the best industry location, one that minimizes transport costs, is likely to shift to frontier regions. In East Asia, China has developed rapidly since it opened up to international trade. Simultaneously, a large amount of foreign direct investment (FDI) has been attracted and industry agglomerations have been formed in coastal regions, that is, frontier regions linked to the global market by sea, leaving many internal regions behind. Similarly, Cambodia, Laos, Myanmar, and Vietnam (CLMV) have joined AFTA and/or the WTO and liberalized international trade since the 1990s. Moreover, transport infrastructures such as the East-West Economic Corridor, the Southern Economic Corridor, and the North-South Economic Corridor have been built and narrowed economic distances in the Greater Mekong Subregion (GMS). As a result, frontier regions are likely to increase their location advantages and lure labor-intensive operations from neighboring countries. It is expected that, as has happened in North America and Europe, economic integration in East Asia will significantly affect internal geography in CLMV. In this study, I first review theories relevant to economic integration and industry location within a country. In particular, emphasis is placed on the new economic geography (NEG). Secondly, empirical results for North America and Europe are surveyed since they have preceded East Asia in regional integration and a substantial number of studies have been conducted on these regions. The final section summarizes and discusses implications for internal geography in CLMV.Southeast Asia, Cambodia, Laos, Myanmar, Vietnam, International economic integration, Economic geography