827 resultados para Economic performance
Resumo:
Different treatments that could be implemented in the home environ-ment are evaluated with the objective of reaching a more rational and efficient use of energy. We consider that a detailed knowledge of energy-consuming behaviour is paramount for the development and implementation of new technologies, services and even policies that could result in more rational energy use. The proposed evaluation methodology is based on the development of economic experiments implemented in an experimental economics laboratory, where the behaviour of individuals when making decisions related to energy use in the domestic environment can be tested.
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Cool materials are characterized by having a high solar reflectance r – which is able to reduce heat gains during daytime - and a high thermal emissivity ε that enables them to dissipate the heat absorbed throughout the day during night. Despite the concept of cool roofs - i.e. the application of cool materials to roof surfaces - is well known in US since 1990s, many studies focused on their performance in both residential and commercial sectors under various climatic conditions for US countries, while only a few case studies are analyzed in EU countries. The present work aims at analyzing the thermal benefits due to their application to existing office buildings located in EU countries. Indeed, due to their weight in the existing buildings stock, as well as the very low rate of new buildings construction, the retrofit of office buildings is a topic of great concern worldwide. After an in-depth characterization of the existing buildings stock in the EU, the book gives an insight into roof energy balance due to different technological solutions, showing in which cases and to what extent cool roofs are preferable. A detailed description of the physical properties of cool materials and their availability on the market provides a solid background for the parametric analysis carried out by means of detailed numerical models that aims at evaluating cool roofs performance for various climates and office buildings configurations. With the help of dynamic simulations, the thermal behavior of representative office buildings of the existing EU buildings stock is assessed in terms of thermal comfort and energy needs for air conditioning. The results, which consider several variations of building features that may affect the resulting energy balance, show how cool roofs are an effective strategy for reducing overheating occurrences and thus improving thermal comfort in any climate. On the other hand, potential heating penalties due to a reduction in the incoming heat fluxes through the roof are taken into account, as well as the aging process of cool materials. Finally, an economic analysis of the best performing models shows the boundaries for their economic convenience.
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We examine the empirical impact of trade openness on the short-run underpricing of initial public offerings (IPOs) using city-level real estate data. This paper represents a first attempt to employ a macroeconomic approach to explain IPO performance. We investigate an openness effect in which urban economic openness (UEO) has a significant impact on the productivity and on the prices of both direct and indirect real estate due to productivity gains of companies in more open areas. This in turn positively affects the firm’s profitability, enhancing the confidence in the local real estate market and the future company performance and decreasing the uncertainty of the IPO valuation. And as a result, we find that issuers have less incentive to underprice the IPO shares. China provides a suitable experimental ground to study the immense underpricing in developing markets, which cannot solely be accounted for by firm specific effects. First, Chinese real estate companies show strong geographic patterns focusing their businesses locally – usually at a city level. Second, we observe a degree of openness which is significantly heterogeneous across Chinese cities. Controlling for company-specific variables, location and state ownership, we find the evidence that companies whose businesses are in economically more open areas experience less IPO underpricing. Our results show high explanatory power and are robust to diverse specifications.
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The importance of investigating cost reduction in materials and components for solar thermal systems is crucial at the present time. This work focuses on the influence of two different heat exchangers on the performance of a solar thermal system. Both heat exchangers studied are immersed helically coiled, one made with corrugated stainless steel tube, and the other made with finned copper tube with smooth inner surface.A test apparatus has been designed and a simple test procedure applied in order to study heat transfer characteristics and pressure drop of both coils. Thereafter, the resulting experimental data was used to perform a parameter identification of the heat exchangers, in order to obtain a TRNSYS model with its corresponding numerical expression. Also a representative small-scale combisystem model was designed in TRNSYS, in order to study the influence of both heat exchangers on the solar fraction of the system, when working at different flow rates.It has been found that the highest solar fraction is given by the corrugated stainless steel coil, when it works at the lowest flow rate (100 l/hr). For any higher flow rate, the studied copper coil presents a higher solar fraction. The advantageous low flow performance of stainless steel heat exchanger turns out to be beneficial for the particular case of solar thermal systems, where it is well known that low flow collector loops lead to enhanced store stratification, and consequently higher solar fractions.Finally, an optimization of the stainless steel heat exchanger length is carried out, according to economic figures. For the given combisystem model and boundary conditions, the optimum length value is found between 10 and 12 m.
Resumo:
With the building sector accounting for around 40% of the total energy consumption in the EU, energy efficiency in buildings is and continues to be an important issue. Great progress has been made in reducing the energy consumption in new buildings, but the large stock of existing buildings with poor energy performance is probably an even more crucial area of focus. This thesis deals with energy efficiency measures that can be suitable for renovation of existing houses, particularly low-temperature heating systems and ventilation systems with heat recovery. The energy performance, environmental impact and costs are evaluated for a range of system combinations, for small and large houses with various heating demands and for different climates in Europe. The results were derived through simulation with energy calculation tools. Low-temperature heating and air heat recovery were both found to be promising with regard to increasing energy efficiency in European houses. These solutions proved particularly effective in Northern Europe as low-temperature heating and air heat recovery have a greater impact in cold climates and on houses with high heating demands. The performance of heat pumps, both with outdoor air and exhaust air, was seen to improve with low-temperature heating. The choice between an exhaust air heat pump and a ventilation system with heat recovery is likely to depend on case specific conditions, but both choices are more cost-effective and have a lower environmental impact than systems without heat recovery. The advantage of the heat pump is that it can be used all year round, given that it produces DHW. Economic and environmental aspects of energy efficiency measures do not always harmonize. On the one hand, lower costs can sometimes mean larger environmental impact; on the other hand there can be divergence between different environmental aspects. This makes it difficult to define financial subsidies to promote energy efficiency measures.
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Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.
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In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zeromean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise based upon data from a well known survey is also presented. Overall, theoretical and empirical results show promise for the feasible bias-corrected average forecast.
Resumo:
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular it delivers a zero-limiting mean-squared error if the number of forecasts and the number of post-sample time periods is sufficiently large. We also develop a zero-mean test for the average bias. Monte-Carlo simulations are conducted to evaluate the performance of this new technique in finite samples. An empirical exercise, based upon data from well known surveys is also presented. Overall, these results show promise for the bias-corrected average forecast.
Resumo:
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zeromean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise, based upon data from a well known survey is also presented. Overall, these results show promise for the feasible bias-corrected average forecast.
Resumo:
The subject entrepreneurship has been gaining strength within the area of strategy, as the entrepreneurial activity represents one of the gears of economic growth and a political social and economic response of the entrepreneur¿s capital. Nevertheless, there are not many studies that investigated if entrepreneurial orientation influences firm performance in Brazil. The objective of the research is to understand and conclude on the relationship between entrepreneurial orientation and firm performance. To achieve this objective, qualitative research through in-depth interviews with 14 managers was followed by quantitative research through data collection involving 104 managers in a heterogeneous sample of 104 companies. The research used the model of Lumpkin; Dess (1996) for entrepreneurial orientation in five dimensions (autonomy, innovativeness, risk taking, proactiveness and competitive aggressiveness), to which two more dimensions were added: strategic alliances and market orientation ¿ that emerged during the qualitative phase of the study. As a result a generic model was obtained ¿ composed of one variable (proactiveness) which positively impacts the firm performance. Proactiveness was also the key factor that positively impacted the firm performance for the service sector and small businesses. For the commercial sector, the model was composed by three dimensions (innovativeness, risk taking and market orientation). While the industry / construction sectors showed no linear relationship between entrepreneurial orientation and firm performance. Competitive aggressiveness is the key factor that impacts positively on firm performance for big companies, whereas for mediumsized companies it is the market orientation which relates positively to firm performance. Finally, there are no significant differences depending on the sector in which the firm operates or its size.
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We use the information content in the decisions of the NBER Business Cycle Dating Committee to construct coincident and leading indices of economic activity for the United States. We identify the coincident index by assuming that the coincident variables have a common cycle with the unobserved state of the economy, and that the NBER business cycle dates signify the turning points in the unobserved state. This model allows us to estimate our coincident index as a linear combination of the coincident series. We compare the performance of our index with other currently popular coincident indices of economic activity.
Resumo:
This work presents a fully operational interstate CGE model implemented for the Brazilian economy that tries to quantify both the role of barriers to trade on economic growth and foreign trade performance and how the distribution of the economic activity may change as the country opens up to foreign trade. Among the distinctive features embedded in the model, modeling of external scale economies, port efficiency and land-maritime transport costs provides an innovative way of dealing explicitly with theoretical issues related to integrated regional systems. In order to illustrate the role played by the quality of infrastructure and geography on the country‟s foreign and interregional trade performance, a set of simulations is presented where barriers to trade are significantly reduced. The relative importance of trade policy, port efficiency and land-maritime transport costs for the country trade relations and regional growth is then detailed and quantified, considering both short run as well as long run scenarios. A final set of simulations shed some light on the effects of liberal trade policies on regional inequality, where the manufacturing sector in the state of São Paulo, taken as the core of industrial activity in the country, is subjected to different levels of external economies of scale. Short-run core-periphery effects are then traced out suggesting the prevalence of agglomeration forces over diversion forces could rather exacerbate regional inequality as import barriers are removed up to a certain level. Further removals can reverse this balance in favor of diversion forces, implying de-concentration of economic activity. In the long run, factor mobility allows a better characterization of the balance between agglomeration and diversion forces among regions. Regional dispersion effects are then clearly traced-out, suggesting horizontal liberal trade policies to benefit both the poorest regions in the country as well as the state of São Paulo. This long run dispersion pattern, on one hand seems to unravel the fragility of simple theoretical results from recent New Economic Geography models, once they get confronted with more complex spatially heterogeneous (real) systems. On the other hand, it seems to capture the literature‟s main insight: the possible role of horizontal liberal trade policies as diversion forces leading to a more homogeneous pattern of interregional economic growth.
Resumo:
This paper studies the effect of financiaI repression and contract enforcement on entrepreneurship and economic development. We construct and solve a general equilibrium mo deI with heterogeneous agents, occupational choice and two financiaI frictions: intermediation costs and financiaI contract enforcement. Occupational choice and firm size are determined endogenously, and depend on agent type (wealth and ability) and the credit market frictions. The mo deI shows that differences across countries in intermediation costs and enforcement generate differences in occupational choice, firm size, credit, output and inequality. Counterfactual experiments are performed for Latin American, European, transition and high growth Asian countries. We use empirical estimates of each country's financiaI frictions, and United States values for all other parameters. The results allow us to isolate the quantitative effect of these financiaI frictions in explaining the performance gap between each country and the United States. The results depend critically on whether à general equilibrium factor price effect is operative, which in turn depends on whether financiaI markets are open or closed. This yields a positive policy prescription: If the goal is to maximize steady-state efficiency, financial reforms should be accompanied by measures to increase financiaI capital mobility.
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This paper examines two different approaches to judicial protection of entitlements in international economic law. One of them, ‘performance-oriented’, is applied by WTO adjudicators. Performance-oriented remedies focus on inducing wrongdoers to resume compliance with the underlying substantive rules. The other, ‘reparation-oriented’, is applied overwhelmingly in international investment law. Reparation-oriented remedies aim at offsetting the injury caused to private parties by the wrongful conduct. This paper discusses the utility of performance-oriented remedies within WTO law, and assesses the possibilities for otherwise reparation-oriented investment tribunals to have recourse to these remedies. It examines a number of decisions that, it is argued, favor performance over pecuniary compensation. From the viewpoint of the state found in breach, compensation then appears as a threatened sanction for non-compliance with the performance obligations determined.
Resumo:
As empresas estatais são freqüentemente consideradas como componentes cruciais da economia de um país. Eles são responsáveis pela criação de vários postos de trabalho e proveem serviços essenciais que exigem um grande investimento de capital. Porém, em países com instituições fracas, onde a responsabilidade dos políticos é limitada e a gestão dos recursos financeiros das empresas estatais sofre pouco controle, os funcionários são muitas vezes tentados pela corrupção. Enormes quantidades de fundos públicos são facilmente desviados, e dinheiro que deveria ter sido investido nas despesas de capital, no pagamento de dívida da empresa ou no aumento do retorno para os acionistas, é usado para aumentar a riqueza privada de indivíduos ou para financiar ilegalmente partidos políticos. O desempenho da empresa sofre com essas alienações visto que parte dos lucros da empresa não são reinvestidos na empresa e dado que incentivos dos gestores estão desalinhados com os interesses dos acionistas. Petrobras, a maior empresa da América Latina em termos de ativos e receitas anuais, sofreu em 2014 e 2015 um escândalo de corrupção imenso, cujo impacto económico foi considerável, levando ao enfraquecimento da confiança de muitos investidores no Brasil após o evento. O escândalo expôs um extenso esquema de corrupção através do qual os contratantes foram conspirando para aumentar os preços de contratos de construção, com a aprovação da administração da Petrobras que pediu em troca ganhos pessoais ou fundos para o Partido dos Trabalhadores (PT). A exposição do escândalo na imprensa brasileira teve um grande impacto sobre a credibilidade da Petrobras: as contas da empresa estavam escondendo imensas irregularidades dado que a empresa tinha pago demais para os contratos de construção que não foram precificados no valor do mercado. Ao longo deste estudo, usamos o exemplo da Petrobras para ilustrar como a corrupção dentro empresas estatais prejudica o desempenho da empresa e como ela afeta as várias partes interessadas da empresa.