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51.
Tourism is perceived as an important source of foreign exchange that is used for financing economic growth. This study offers a modern approach to tourism-led growth and investigates the causal relationship between tourism and economic growth in the European, Asian and African countries that border the Mediterranean Sea. The study uses panel data for the period 1998–2011, and adopts a panel Granger causality analysis developed by Dumitrescu and Hurlin (2012) to assess the contribution tourism makes to economic growth in each country. The results indicate that the direction of causality between tourism and economic growth depends on the country group and tourism indicator. Furthermore, the European countries are better able to generate growth from tourism in the Mediterranean region. 相似文献
52.
浙江省金融业国际化通过多种效应对经济产生重要的拉动作用。本文利用2006年1月至2009年12月的月度时间序列数据,对变量进行了Granger因果关系检验,建立了基于VEC模型的脉冲响应函数,对浙江经济竞争力对金融业国际化发展的动态响应结果进行了分析。检验结果表明,浙江省金融业的国际化发展有利于浙江省经济竞争力的提高。基于上述结论,本文提出了浙江金融业国际化发展的对策建议。 相似文献
53.
Sakiru Adebola Solarin 《旅游业当前问题》2018,21(9):964-969
We use the data of total tourism market and 10 major tourism markets in Mauritius to test the validity of tourism-led growth hypothesis in the country for the period 1980–2011. Using causality techniques, we confirm the hypothesis for the total tourism market. However, tourism-led growth exists in only 6 of the 10 markets. We conclude that not all tourism markets are contributing substantially to Mauritius’ economy. 相似文献
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In this article, we analyze the relationship between outward foreign direct investment (FDI) and exports, using Spanish quarterly data for the period 1977–1998, by means of Granger causality tests in a cointegration framework. Our results point to the existence of a relationship of complementarity between both variables, with Granger causality running in the short run from outward FDI to exports, and bilateral Granger causality in the long run. 相似文献
56.
We provide a structural approach to identify instantaneous causality effects between durations and stock price volatility. So far, in the literature, instantaneous causality effects have either been excluded or cannot be identified separately from Granger type causality effects. By giving explicit moment conditions for observed returns over (random) duration intervals, we are able to identify an instantaneous causality effect. The documented causality effect has significant impact on inference for tick-by-tick data. We find that instantaneous volatility forecasts for, e.g., IBM stock returns must be decreased by as much as 40% when not having seen the next quote change before its (conditionally) median time. Also, instantaneous volatilities are found to be much higher than indicated by standard volatility assessment procedures using tick-by-tick data. For IBM, a naive assessment of spot volatility based on observed returns between quote changes would only account for 60% of the actual volatility. For less liquidly traded stocks at NYSE this effect is even stronger. 相似文献
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The paper examines the equity market price interaction between Australia and the European Union – represented by the UK, Germany and France – based on the Toda–Yamamoto causality test, which is bootstrapped with leveraged adjustments. A new information criterion is used to choose the optimal lag order. Weekly MSCI data covering the period 1988 to 2001 is used, divided into two subperiods to allow for a structural break arising from the ERM crisis of 1992. Results show that, during the period before the ERM crisis, no significant causal links exist between Australia and any of three EU countries. During the period after the ERM crisis, Australia also had no causal links with Germany and France but it had with the UK, with causality running from the UK to Australia but not vice-versa. Thus, Australian investors may find the German and French, but not the UK, equity markets, attractive venues for their international diversification. German and French, but not British, investors may also obtain the same benefit from the Australian equity market. 相似文献
59.
《Economic Modelling》2007,24(1):1-14
This paper examines the lead–lag relationships among the output of Taiwan, Japan and the U.S. Three testing methods are employed: the traditional linear Granger causality test, Hiemstra and Jones' [Hiemstra, C., Jones, J.D., 1994. Testing for linear and nonlinear Granger causality in the stock price-volume relation. Journal of Finance 49, 1639–1664] nonlinear Granger causality test and Warne's [Warne, A., 2000. Causality and regime inference in a Markov-S switching VAR, Working Paper no. 118, Sveriges Riksbank, Stockholm.] Granger causality test under the Markov-Switching model. We find that the causal ordering is unclear and depends on the model we used. Because Markov-Switching model imposes few restrictions in estimation, we tend to use its estimated results but bear in mind that the evidence is sensitive. First, the common shock hypothesis is found that most probably exists between Taiwan and the U.S. Next, we conclude that Japan tends to lead Taiwan's output, to a certain extent. Last, there is no causal ordering between the U.S. and Japan economies. 相似文献
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