The transition economies of Central and Eastern Europe (CEE) have become important exporters of many types of services to Western Europe. We identify the sources of CEE’s advantages over competing exporters, such as India, China and Brazil, using disaggregated data on service exports and a novel estimation technique for the gravity equation. Our results indicate that the importance of geographical distance varies substantially across types of service exports. Geography is important for exports of construction services, but it has a negligible impact on computer‐related services. However, the relative quality of legal institutions influences trade across a broad range of service categories. The results demonstrate that aggregating services that are not homogeneous could conceal important differences in the effects of geographical distance and other variables on the pattern of service trade. 相似文献
We use topic modeling to study research articles in environmental and resource economics journals in the period 2000–2019. Topic modeling based on machine learning allows us to identify and track latent topics in the literature over time and across journals, and further to study the role of different journals in different topics and the changing emphasis on topics in different journals. The most prevalent topics in environmental and resource economics research in this period are growth and sustainable development and theory and methodology. Topics on climate change and energy economics have emerged with the strongest upward trends. When we look at our results across journals, we see that journals have different topical profiles and that many topics mainly appear in one or a few selected journals. Further investigation reveal latent semantic structures across research themes that only the insider would be aware.
This study proposes a new concept of the tourist-destination relationship called destination relationship quality. It consists of four elements: destination satisfaction, destination trust, destination commitment, and destination attachment. The study investigates how destination personality and self-congruity influence tourists' destination loyalty through destination relationship quality. Data were obtained through systematic sampling from 424 Chinese tourists in Guangzhou, China. Using partial least squares structural equation modelling analysis, this study confirmed that destination personality and self-congruity are antecedent factors of destination relationship quality, which ultimately affect tourists' destination loyalty towards a destination. The study contributes to tourist-destination relationship research by indicating the mechanism for establishing destination relationship quality so that researchers can further apply this concept in their future studies. The results of this study are helpful for tourist destination marketers to attach importance to the establishment of destination personality and create core differences in tourist destinations when developing marketing strategies. 相似文献
We develop an equilibrium endowment economy with Epstein-Zin recursive utility and a Lévy time-change subordinator, which represents a clock that connects business and calendar time. Our setup provides a tractable equilibrium framework for pricing non-Gaussian jump-like risks induced by the time-change, with closed-form solutions for asset prices. Persistence of the time-change shocks leads to predictability of consumption and dividends and time-variation in asset prices and risk premia in calendar time. In numerical calibrations, we show that the risk compensation for Lévy risks accounts for about one-third of the overall equity premium. 相似文献
Empirica - The main scope of the paper is to review the construction method of (multi-)regional input–output tables (RIOTs) in the Czech Republic at the NUTS 3 regional level. We compare the... 相似文献
Abstract Conventionally, an advertiser's spending on the creative component of an advertising campaign is small in relation to the media budget and is channeled exclusively to a single advertising agency. Gross challenged those conventions more than 20 years ago, using a mathematical model of advertising effectiveness. His model suggested spending more on the creative component and doing so in a competition among several independent sources. The model assumed a normal distribution of effectiveness of advertisements. Data on response to consumer product ads show that the distribution of effectiveness is not normal, but quite skewed. Using Monté Carlo simulations and Gross's framework, the authors find that the skewness strengthens the case for competition. Shifting a sizable percentage of a campaign budget away from media spending and into competitive generation of creative renderings apparently can be very profitable. 相似文献