The link between foreign direct investments (FDI) and trade is firmly established in economic literature. Yet despite the vast amount of literature on this subject, very few have tried to look at FDI through the lens of trade theory, choosing rather to approach the subject on either a macroeconomic-level or on firm-level. The purpose and scope of this paper is to explore FDI through the lens of trade-theory. The central questions in this thesis are whether the gravity model of trade can serve as a reliable model for FDI value as well? Are there certain variables in the gravity model that are distinctively powerful determinants of FDI? Two econometric models are used to determine the gravitational impact on FDI, one ordinary OLS model and one fixed-effect model. The findings when using OLS regressions are that the components of the gravity model of trade are indeed key determinants of FDI value, and the two most significant positive determinants were home country GDP as well as home country per-capita GDP. In the fixed-effect model however, several variables were found to have no significant effect on FDI value and only home country GDP and host country per-capita GDP were consistent positive determinants of FDI.

China has undergone significant urban growth and industrialization over the last 30 years and its incredible development continues to move ahead at an increasingly rapid pace. In terms of urban expansion, China has just recently surpassed the world’s average urbanization rate of 50%, as it moves its massive population from rural to urban areas at an astonishing speed. It’s massive population and fast urbanizing speed aside, China is also unique in terms of its socio-political system and historical-cultural context: it is a hybrid of government planning and market forces. Since it encompasses a large part of the global population and has had a vastly different urbanization experience than that of Western countries, around which most theories are based, studying China’s urbanization is an opportunity to contribute to the field of urban studies in an unprecedented manner. However, these differences also make it difficult to develop a comprehensive study of China’s urban system since the predominant theories in the field are best suited to Western cities. This research rises to this challenge by systematically studying the relationship between the socioeconomic and biophysical processes in the Chinese urban system to understand the interaction between human and physical factors, and the landscape patterns that result from these interactions. This complex urban system is examined using a hierarchical, top-down approach. At the highest level is a Macro-scale analysis of the national urban system, followed by a study of the regional urban system: the JingJinJi Metropolitan Area at the Meso-scale, and finally a Micro-scale examination with a focus on the city of Beijing. Since urban systems develop over both time and space, the urban system is analyzed spatio-temporally on all three levels. Research at the national scale is composed of two parts. First, the challenges and opportunities of China’s urban development since the foundation of the People’s Republic of China in 1949 are investigated in a general context. The institutional barriers that impede the management and continuation of China’s urban development are also discussed. Rank-size Analysis and satellite images are used to present the structural transitions of city scaling and urban clusters. These changes come with a series of challenges that are also iterated and discussed. This is followed by an analysis of the spatial distribution and transition patterns of China’s urban system using Centrographic Analysis, particularly since the post-1979 reforms. Second, the Macro-scale research focuses on a study of the urban hierarchy that is based on inter-city interactions as determined by the Synthesized Gravity Model (SGM). Under this model socioeconomic variables are synthesized and represented by the Influential Factor, while the Function Distance is derived from a Network Analysis that is based on multiple transportation methods. As an improvement on the conventional Gravity Model (GM), the SGM is used to accurately establish and represent the nodal structure of China’s urban system, the evolution of its hierarchical structure, and the relationships that exist between the nodal structure and socioeconomic factors. The results based on the SGM indicate that China’s national urban system is characterized by the emergence of urban clusters with stronger inter-city interactions since the 1990s. However, development among cities within certain urban clusters is not even, although the general pattern indicates a lessening inequality among cities. Spatially, while most cities at the top of the hierarchy are located in the east of China, cities in the middle and west of the country are also gaining higher positions in the hierarchy over time. On the Meso-scale, the applicability of the Cellular Automata (CA)-based SLEUTH model for regional urban growth pattern is studied through a focus on the JingJinJi Metropolitan Area (Beijing-Tianjin-Hebei). By integrating socioeconomic factors into a modified SLEUTH model, the urban growth dynamics and future development scenarios of the area are simulated and predicted. The results based on the CA model show that this region is characterized by a dynamic development pattern with high spreading and breeding growth rules that relies greatly on the growing transportation systems. It also allows for the projection of three possible future urban growth scenarios, each occurring under different environmental and development conditions, showing the future urban growth with or without further intervention. This research confirms that four factors play essential roles in the formulation of the urban growth mechanism of the JingJinJi Metropolitan Area: Urban policies, Industry restructuring, Rural-urban migration, and Reclassification of urban boundaries. The Micro-scale study of Beijing is conducted from two perspectives: the social and natural. The social aspect adopts the factorial ecology approach to identify the social landscape patterns and the factors that have shaped Beijing’s social space in 1990 and 2000. The social mosaic has experienced a significant change due to suburbanization, resulting in a more dynamic and complex internal structure since the 2000s. From a natural perspective, Beijing’s physical landscape patterns are extracted by processing remotely sensed images that have the same temporal span. The physical change through landscape metrics demonstrates that Beijing’s expansion has generated a more complex and fragmented land use/cover pattern. Meanwhile, transportation systems play a significant role in urban expansion, although the expansion across the space (zonal rings and directional sectors) is not even. Finally, the relationship between the social and physical landscapes is quantitatively defined by the Geographically Weighted Regression (GWR) technique, using physical landscape metrics as dependent variables and social areas as independent variables. The GWR is able to demonstrate the relationship between the social and physical landscapes at this level: as a city’s social mosaic becomes more varied over time it results in the fragmentation of that city’s physical space.

This thesis comprises three essays on immigration, innovation, and trade. The first essay utilizes an enhanced gravity model to estimate the effect of lagged immigration waves on Canadian imports and exports, by province. Empirically, this model was tested using Canadian data on import and export flows to the top 40 countries of origin for immigrants to Canada based upon the composition of the most recent wave of immigrants. The results are consistent with previous studies, where immigrants increased both import and export trade flows. By adding the provincial immigrant wave variable, it was also found that new immigrants affect imports almost immediately, whereas for exports, the immigrant effect is not significant for at least 5 years and may take as long as 20 years to reach full impact.<p>The second essay utilizes an enhanced gravity model to estimate the effect of innovative capability on Canadian provincial exports to Canadas top 60 importing countries. Empirically, this model was tested using Canadian data on export flows to Canadas top 60 importing countries. The results are supportive of a provinces innovative capability leading to increased exports, where innovative capacity is measured by international patents, scientific journal articles, and R&D expenditures. For example, in terms of innovative capacity as measured by international (U.S.) patents, provinces with higher levels of international patents had higher levels of total exports, where this effect was greater for exports to developing versus developed countries. Furthermore, provincial R&D expenditures as well as the number of provincial scientific publications (in addition to provincial international patents) were found to be significant drivers in increasing the amount of provincial hi-tech exports to developed countries.<p>The third essay utilizes an augmented national ideas production function to examine skilled immigrants impact on Canadian innovation at the provincial level. Empirically, this model was tested using Canadian data by province on innovation flow over an 11 year time period, where innovation flow is defined in terms of international (U.S.) patents. It was found that skilled immigrants, who are proficient in either English or French, have a significant and positive impact on innovation flow in their home province. Further, in examining skilled immigrants by source region, it was found that skilled immigrants from developed countries have the greatest impact on their home provinces innovation flow. This is true of North American/European skilled immigrants for all skill-level categories including language proficiency, education, and immigrant class. For immigrants from developing countries, only highly educated Eastern Europeans and Low Income Asians classified as Independent Workers are both significant and positively related to their home provinces innovation flow.

The common agricultural policy (CAP) is a much discussed policy in the European Union (EU). It allocates great sums to the European agricultural sector every year and has been accused of being trade distorting and outdated. This thesis takes a closer look at what protectionist measures the CAP has used. The policy’s effects on trade will be assessed employing the sugar industry as a reference case. Sugar is heavily protected and is one of the most distorted sectors in agriculture. The CAP effects on trade in the sugar industry for ten countries in and outside the EU from 1991 to 2011 are estimated using a gravity model. This particular type of estimation has, to the author’s knowledge, not been performed for the sugar industry before, which makes the study unique. The results of the empirical testing indicates that trade diversion occurs if one country is a member of the CAP and its trading partner is not. When both trading partners are outside the CAP cooperation, they are estimated to have a higher trade volume. This result indicates that the CAP decreases trade. Current economic theory, in particular the North-South model of trade developed by Krugman (1979), suggests that protectionism of non-competitive sectors should be abolished and funds should instead be directed to innovation and new technology. The CAP is in this sense not adapted to modern economic thought.

The purpose of this paper is to investigate how the changes in trade values are affected by the implementation of the euro currency. We study the EU members, including 11 EMU members and 3 non-EMU members (Sweden, Denmark and the United Kingdom). The empirical analysis is conducted by using a modified version of the standard gravity model. Our core findings can be summarized into two parts. First, the euro effect on trade which is estimated by the euro-dummy coefficient reflects an adverse influence by the euro creation on trade values for the first two years of the implementation on all our sample countries. It leads us to a conclusion that there is no significant improvement of trade in the year of implementation. These results do not change when a time trend variable is added to evaluate the robustness of the model. Our primary interpretation is that the euro creation does not have an immediate impact on trade but it is rather gradual as countries need time to adapt to a new currency. It is connected to our second finding that the negative influence of the euro implementation is not permanent but eventually initiates positive outcomes on trade values over time, thus concluding that the euro implementation has had gradual impact on both EMU and non-EMU members.

This thesis comprises three essays on immigration, innovation, and trade. The first essay utilizes an enhanced gravity model to estimate the effect of lagged immigration waves on Canadian imports and exports, by province. Empirically, this model was tested using Canadian data on import and export flows to the top 40 countries of origin for immigrants to Canada based upon the composition of the most recent wave of immigrants. The results are consistent with previous studies, where immigrants increased both import and export trade flows. By adding the provincial immigrant wave variable, it was also found that new immigrants affect imports almost immediately, whereas for exports, the immigrant effect is not significant for at least 5 years and may take as long as 20 years to reach full impact.<p>The second essay utilizes an enhanced gravity model to estimate the effect of innovative capability on Canadian provincial exports to Canadas top 60 importing countries. Empirically, this model was tested using Canadian data on export flows to Canadas top 60 importing countries. The results are supportive of a provinces innovative capability leading to increased exports, where innovative capacity is measured by international patents, scientific journal articles, and R&D expenditures. For example, in terms of innovative capacity as measured by international (U.S.) patents, provinces with higher levels of international patents had higher levels of total exports, where this effect was greater for exports to developing versus developed countries. Furthermore, provincial R&D expenditures as well as the number of provincial scientific publications (in addition to provincial international patents) were found to be significant drivers in increasing the amount of provincial hi-tech exports to developed countries.<p>The third essay utilizes an augmented national ideas production function to examine skilled immigrants impact on Canadian innovation at the provincial level. Empirically, this model was tested using Canadian data by province on innovation flow over an 11 year time period, where innovation flow is defined in terms of international (U.S.) patents. It was found that skilled immigrants, who are proficient in either English or French, have a significant and positive impact on innovation flow in their home province. Further, in examining skilled immigrants by source region, it was found that skilled immigrants from developed countries have the greatest impact on their home provinces innovation flow. This is true of North American/European skilled immigrants for all skill-level categories including language proficiency, education, and immigrant class. For immigrants from developing countries, only highly educated Eastern Europeans and Low Income Asians classified as Independent Workers are both significant and positively related to their home provinces innovation flow.

Abstract It is well known that geographical distances between nations cause differences in cul-tural resemblances as well as affinity. Defined, affinity is inheriting similarities between nations in familiarity, language and mutual understanding. It cause variations in the uni-lateral trade volume flowing towards the destination countries and can be estimated by a traditional gravity model (GM). So far Swedish affinity towards Czech Republic (CZ) has remained unexplored. Hence, this paper investigates Swedish firm´s export perfor-mance and affinity towards CZ, both through the aggregate export and the extensive margin (average number of exporters). The investigation aims to seek clarification of what particular factors influence unilateral export towards CZ as well as stronger affini-ty in contrast to similar markets. To answer those questions, a one sided GM is re-gressed on two gravity equations, covering panel data for 177 destination countries from year 1997 to 2006. Results are in line with the expected behavior of the GM and show evidently; distance as well as land lock features have negative effects on unilateral ex-ports to CZ. Additionally, evidence of positive influence on unilateral export is found for GDP and familiarity to the nation. Both regressions for the gravity equations are showing high goodness of fit for the panel data. Findings of positive residuals in both the equations conclude that Swedish export have stronger affinity to CZ and solider country characteristics than its resembling countries Slovenia and Slovakia. However, positive residuals also indicate larger export flows to CZ than motivated by the tradi-tional GM coefficients. Various explanations are suggested as origins for those, such as differences in purchasing power and regions, were Prague was found to be the most suitable option for export and other regions rather for outsourcing possibilities.

Distance is of great influence when deciding whom to trade with. This thesis examines how the importance of distance in international trade has evolved. This is done using an extended generalized gravity model, which includes population, real exchange rate and a dummy variable for membership in the European Union. Using data for the EU27 and the four largest economies in the world outside of EU, this model estimates the effect of distance on trade from 1980 to 2005. This thesis shows that the impact of distance has evolved towards having a greater negative effect on trade during the observed years. The reason for this could be a development towards regional trade, at the expense of long-distance trade.

This paper investigates what factors affect the destination choice for Jordanian to 8 countries (Oman, Saudi Arabia, Syria, Tunisia, Yemen, Egypt, Lebanon and Bahrain) using panel data analysis. Number of outbound tourists is represented as dependent variable, which is regressed over five explanatory variables using fixed effect model. The finding of this paper is that tourists from Jordan have weak demand for outbound tourism; Jordanian decision of traveling abroad is determined by the cost of traveling to different places and choosing the cheapest alternative.

In the process of urbanization, the population and economy are rapidly growing. To achieve the demand of urbanization, natural areas are developed into construction areas in the city. Nature areas began to shrink and fragment, causing a great deal of damage, such as species extinction. The ability of nature to control the flood, adjust the rain, and filter pollution has been lost. This study is based on the city of Kaohsiung and Kaohsiung County. The study uses a large scale to re-examine the spatial structure of this area to propose an effective and reasonable planning policy for the environment and ecosystem. The study introduces the concept of green infrastructure to develop a green network system for the city. Green infrastructure is a network connecting natural areas and open spaces that can save ecological value and retain the ecosystem function. A green infrastructure network consists of hubs and links, and the network pattern can be made for different purposes. The study chose green land with an area of more than twenty hectares for the hubs and chose the terrestrial animal for the target species. The study uses the least-cost path analysis to plan the links for the terrestrial animal. The least-cost path, which is the path of least resistance when the terrestrial animal passes through the landscape. All the hubs generated 903 links. To create the green infrastructure networks, this study uses the gravity model to evaluate which corridor is the most important. Using the graph theory, the study developed three plans for a green infrastructure network to meet different demands: the Paul Revere, Traveling Salesman, and Least Cost to User networks. Planners can see different demands dictating the choice between different green infrastructure networks. Finally, the study discusses the three-network structure, finding the important hubs and links for the terrestrial animal. These areas should be protected to maintain the green infrastructure network.