The global photovoltaic (PV) market is growing, contributing to reduced climate emissions from electricity production. Historically, PV deployment mainly occurred in developed and electrified countries with a high level of certainty over their electrical system. Recently, this trend has started to change, contributing to a more globally distributed PV market. In primarily two of the emerging markets, Africa and the Middle East, the statistical situation is weak or non-existent, making it hard to monitor and track the PV development. PV devices can be grid-connected or off-grid, installed in PV parks or in smaller household applications, which further complicates the monitoring. As a result, the best available statistics on these markets, provided by the International Renewable Energy Agency (IRENA), are to a major part based on estimations not built on any official data.  In a pilot study a instrument prototype, Njord, for converting monetary trade data of PV devices into installed PV capacities was initiated, with the aim to provide more accurate estimates for these markets. Njord is in this study further developed, by increasing its resolution and adjusting assumptions. Further, an additional conversion factor, namely PV module weight, is implemented to improve the accuracy of the predictions. The time frame of Njord is enlarged enabling estimates of accumulated capacities, in contrast to previously only annual installations. The instrument methodology is based on a bottom-up approach of processing import and export customs data, and converting the data to installed capacities using the price and weight of a PV module per wattage. In addition to the further development of Njord, the trade data is used to map and analyse monetary trade flows and thereby market values. Identified improvements concerned, among others, to adjust the percentage of PV modules in the customs code for countries without specific codes, and to fill data gaps with additional mirror data. The weight conversion factor was initially implemented as a parallel instrument to the price based. The two conversion factors were then combined into an instrument choosing the most suitable conversion factor with regards to a number of constraints. The instrument performance was validated against reference countries with well documented PV markets, qualitatively customs data, and small domestic PV manufacturing. For the reference countries and the comparative period of 2016 – 2018, the total deviations were improved from spanning 11.1 % – 17.0 % to 0.5 – 22.6 %. The best performance is seen for the most recent years of 2018 and 2019, with total deviations of 0.5 % and 4.1 % respectively. Njord shows high performance for estimating accumulated capacity, with a deviation of 4.3 % in the end of 2019. When applying Njord to the markets of interest, Africa and the Middle East, the results are significantly higher than the IRENA estimates, with a result of 118 % higher for Africa and 127 % higher for the Middle East. This indicates that the PV deployment in these emerging markets could be underestimated in today's statistical situation.  In combination with the instrument results, mapping trade flows has shown to give comprehensive information about the PV markets of interest and shows the potential of using trade data for this type of analysis. China distinguishes as the dominant trade partner for both Africa and the Middle East, in line with the global PV market. Although these markets are small relative the global PV context, there was in 2019 still a net import of PV modules of in total 879 million US$ for Africa and 728 million US$ for the Middle East, and the markets are growing fast. Further, mapping trade flows has shown to identify manufacturing countries on the markets of interest, which there also is a lack of information on. The trade patterns and its inherent monetary values could be used to for example identify market development and business opportunities.

The Arab Spring resulted in what came to be known as the "2015 refugee crisis", primarily in the EU. It was a paradigm shift for the EU's security strategy and for intergovernmental relations for the EU, Russia and Turkey. The study highlights the aspect of refugee flows by using the theory Coercive Engineered Migration, to understand strategic changes during the period 2012-2016. The study is a theory-consuming case study focusing on the case "refugee crisis 2015".The study combines the refugee aspect from political science with concepts from the strategy domain, deriving from war studies. This shows a course of events where the actor´s utilization of refugee flows has played a central role in an escalation duel.The conceptual development approach of the study shows the benefit of combining the theory of Coercive Engineered Migration, and how escalation increases the understanding of the case and broadens the strategic perspective. The study also claims to broaden the concept of escalation by including refugee flows.

Landscapes have been exploited and polluted by humans in order to obtain metals. Materials are treated as commodities: extracted, used inside our devices and appliances, then discarded as useless matter. The timespan of efficiency is shortened more and more due to obsolescence, material desire and constant innovation. That’s a paradoxical perspective compared to the deep time those metals embody, born in the outer space from star collision and arriving to Earth as meteors, 4 billion years ago. Rocks in vogue is an exploration on the material flows within the electronic devices production and their disposal. Very often the connection between consumers and source is invisible and well-masked behind the slick surfaces of our laptops and smartphones. Through the disassembling of old broken devices, the metals found inside represent values, stories and resistance. The material’s agency is expressed through low-power ceramic batteries; the elementary reaction moving from copper to iron represents a narrative of slow processes, material exhaustion and care. The batteries move from being something that supports our technological desires to statement objects that make things speak.

Market value of firms and book value of firms are rarely the same. The difference, which is attributed to unrecorded or unrecognized intangible assets, has increased significantly since the 1970s. The issue of appropriately valuing these intangible assets, however, still remains unresolved. The purpose of this study is to address this lack of understanding of valuing intangible assets in the hospitality industry. Five intangible asset investments: Research and Development, Training, Advertising, Labor, Pension, and one business model, Franchising, are chosen as the valuation constructs in this study based on previous research in the hospitality industry. The valuation models for the casual dining restaurant industry and the quick service restaurant industry are compared. The sample of this study includes 13 casual dining restaurant firms and 12 quick service restaurant firms. Compustat North America is the primary data source for this study. The annual data for casual dining restaurant firms from 1980 to 2011 is collected from this database. There are 238 firm-years in total. Two firm-years are excluded due to systematic missing values, and 15 firm-years are excluded due to missing share price information. Thus, the final count of data points for casual dining restaurant firms usable for analysis purposes is 221. The annual data for quick service restaurant firms from 1980 to 2011 is also collected from the Compustat North America database. There are 251 firm-years in total. Eight firm-years are excluded due to systematic missing values, and 47 firm-years are excluded due to missing share price information. Thus, the final count of data points for quick service restaurant firms usable for analysis purposes is 196. Pearson correlation and multivariate analyses are performed to answer the four research questions in this study. Two hypotheses are supported while one hypothesis is not supported and one hypothesis remains unanswered due to Multicollinearity issues identified in multiple regression models. The results of this study show that 1) R&D, training, advertising, labor and pension are all important valuation constructs in the hospitality industry, and 2) there are some differences, however, between casual dining restaurant firms and quick service restaurant firms. This study fills the gap in the current literature by providing a quantitative method to value intangible assets in the hospitality industry that uses the valuation constructs identified in previous hospitality research. The practical implications of this study will provide managers in the hospitality industry with helpful insights for strategic decision making, specifically in regards to research and development, advertising and employee compensation. / Ph. D.

<div>The atomization of jets and droplets undergoing breakup in high-speed flows has been experimentally measured and theoretically modeled. Systems for producing individual droplet breakup and full jet breakup were designed, and a wide range of diagnostics were developed and adapted to measure the results with reduced uncertainty.</div><div><br></div><div>A detailed methodology for investigating high-speed sprays in the Purdue Experimental Turbine Aerothermal Lab is presented. Optical diagnostic techniques were carefully selected and optimized for the test section geometries and flow features, such that images could be collected at high frequencies of 20 kHz with high resolutions. Developed image processing routines are outlined to demonstrate how backlit imaging with specialized lenses allowed for more accurate spray depth measurements in supersonic conditions, which were then used in regression modeling routines to derive empirical correlations that factored in test section geometry, flow conditions, and injector design. A Mie scattering imaging technique was used for quantitative analysis of the supersonic spray plume profile and measurement of the spray width. 20 kHz shadowgraphy provided sufficient gradients for analysis of the unsteadiness of the spray and surrounding supersonic flow at the point of injection. Droplet sizes and velocities were measured in subsonic conditions using digital in-line holography, in which recent advancements to the reconstruction algorithm were implemented to reduce out-of-plane measurement uncertainty, and phase Doppler particle analysis.</div><div><br></div><div>The breakup of a single drop undergoing multi-mode breakup was analytically characterized, with the proposal of a new breakup criterion in the Taylor analogy breakup model. Hill vortices within the drop were proposed as a new flow mechanism promoting multi-mode breakup. Product drop sizes from the ring breakup were predicted and compared with experimental results.</div>

Objectives: This work investigates the role for the content of print news media in determining asset prices and capital flows in a small open economy (South Africa). Specifically, it examines how much of the daily variation in stock prices, bond prices, trading volume and capital flows can be explained by phrases in the print news media. Furthermore, this work links such evidence to the existing theoretical and empirical literature. Methods: This work employs natural language processing techniques for counting words and phrases within articles published in national newspapers. Variance decompositions of the resulting word and phrase counts summarise the information extracted from national newspapers in this way. Following previous studies of the United States, least squares regression relates stock returns to single positive or negative 'sentiment' factors. New in this study, support vector regression relates South African stock returns, bond returns and capital flows to the high-dimensional word and phrase counts from national newspapers. Results: I find that domestic asset prices and capital flows between residents and non-residents reflect the content of domestic print news media. In particular, I find that the contents of national newspapers can predict 9 percent of the variation in daily stock returns one day ahead and 7 percent of the variation in the daily excess return of long-term bonds over short-term bonds three days ahead. This predictability in stocks and bonds coincides with predictability of the content of domestic print news media for net equity and debt portfolio capital inflows, suggesting that the domestic print news media affects foreign residents' demand for domestic assets. Moreover, predictability of domestic print news media for near future stock returns is driven by emotive language, suggesting a role for 'sentiment', while such predictability for stock returns further ahead and the premium on long-term bonds is driven by non-emotive language, suggesting a role for other media factors in determining asset prices. These results do not seem to reflect a purely historical phenomenon, finite-sample biases, reverse causality, serial correlation, volatility or day-of-the-week effects. The results support models where foreign agents' short-run beliefs or preferences respond to the content of domestic print news media heterogeneously from those of domestic agents, while becoming more homogeneous in the medium term.

Foreign capital inflows (FCI) play an important role in the economic development of the recipient country as they fund investments and promote growth. However, the size and composition of such inflows are determined on the basis of country specific requirements. The study investigates the impact of capital inflows on the economy of Kenya at a time when the government implemented economic reform measures to stabilize the economy and restore sustainable growth. More specifically, the study examines the impact of foreign capital flows remittances such as overseas workers remittance, official development aid, and external debt, on selected macro-economic variables using monthly time series data and a single-equation empirical approach. The study findings reveal that some forms of FCI are not influenced by the macro economic variables in the country but by other factors such as political stability and policy variables.

This dissertation explores several aspects of financial globalization, inequality and economic growth. In the first two essays, we show that cross-border capital inflows raise the domestic credit volumes and lead to higher bank risk-taking. In particular, capital inflows are related to an increased credit supply towards ex-ante risky and low performing firms. These results are amplified when the financial system is more prone to agency problems—problems that rise in the financial system’s size/concentration and undercapitalization. Therefore, from a policy perspective, we gauge that the regulation of the financial sector shapes the allocation of global liquidity to the real economy. Turning our attention towards firms’ real activities, we show that capital inflows are negatively linked with the ex-post performance of firms. Consequently, foreign capital is not only allocated overproportionally to firms with a low ex-ante profitability; additionally, low performing firms display further decreases in their future profitability, constituting long-run hazards for the aggregate economic performance. This result helps to explain the difficulties of the empirical literature to identify a distinct positive relationship between cross-border capital flows and aggregate economic growth. In the third essay, we identify the growth effects of another macroeconomic variable that has been shown to increase with financial globalization—income inequality. We find that higher income inequality increases the growth rates of industries that are dependent on physical capital. In contrast, human capital intense industries grow less in countries with a more unequal distribution of income. We further gauge that higher aggregate investments (in financially more closed economies) and devaluations of the real exchange rate (in financially more open economies) drive the positive growth effects of inequality. The negative growth effects are an implication of lower human capital investments. Consequently, policy makers should keep in mind the potential negative implications of inequality for aggregate economic growth in case their country’s industrial structure relies to a great extent on human capital.

In 1899, Robert T. Hill led the first scientific exploration of the remote segment of the Rio Grande known as the Big Bend. Hill’s observations from this expedition were published in an article titled “Running the Cañons of the Rio Grande.” At the time of Hill’s expedition, the stream flow of the Rio Grande was largely depleted by water development in the upstream portions of the basin. The continued overallocation of the Rio Grande has led to the degradation of aquatic ecosystems in the Big Bend, one of North America’s largest transboundary protected areas, such that management of natural resources in this region is a high priority. Many of the native species in this region are listed as threatened or endangered due to habitat loss, which is driven by channel narrowing. Thus, excess fine sediment, along with invasive riparian species, has been identified as negatively impacting ecological resources in the Big Bend and studies recommend increased stream flow as the most effective tool for managing excess fine sediment. Aside from historical accounts, there was previously no estimate of the Rio Grande’s natural flow regime nor an adequate understanding of how the role of characteristic floods in the Big Bend shaped the pre-disturbance channel. In the following two studies, we fill in these crucial knowledge gaps by estimating the pre-disturbance flow regime of the Rio Grande, describing how channel narrowing is not spatially uniform in the Big Bend, and analyzing past floods to determine the role of past flood regimes in shaping alluvial deposits that contribute to channel narrowing.

Knowledge is a sustainable advantage and knowledge assets can increase value with use. A snowball effect of knowledge advantage advocates effective knowledge management and fosters its continual growth as it flows. Knowledge, however, flows unevenly throughout an organization and the problem is that the fundamental dynamics of these flows are still not well characterized in theoretical and computational models. This study built on existing work—knowledge-flow theory, need knowledge generation, and the critical success factors for enterprise resource planning implementation—to examine the multidimensional knowledge-flow phenomenon in context, and used the case study methodology for knowledge-flow theory building. The research question was two-pronged: how can need knowledge and its flow across stakeholders within an organization be explained using a multidimensional knowledge-flow model and how can Nissen’s five-dimensional knowledge-flow model be validated using a real-life immersion case? The researcher relied on three sources of evidence for this case study: project-related documentation, archival records, and interviews. Data triangulation yielded three results components: (a) a chronology of key events that obstructed knowledge flow, (b) a logic model depicting themes that contributed to knowledge-flow obstruction, and (c) explanations of the knowledge-flow patterns. This case study suggested enabling need knowledge determinants and obstructing conditions are in play that determine the path of need knowledge flow. These two research artifacts should be considered together to provide a fresh research avenue towards better understanding of knowledge flow dynamics.