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111.
112.
Richard A. Graff Michael S. Young 《The Journal of Real Estate Finance and Economics》1996,13(2):121-142
Correlation estimates for returns between individual properties are subject to large inherent uncertainties due to limits on the amount of data that is likely to be available for the foreseeable future. After allowance for correlation sampling error, it is impossible to distinguish on an ex ante basis between the risk-reduction capabilities of mean-variance portfolio selection models and naive diversification without regard to property type or geographical location. The naive portfolio diversification strategies of typical institutional real estate portfolio managers are rational responses to limitations on the informational content of statistical analyses of historical real estate data. 相似文献
113.
Thor O. Thoresen 《International Tax and Public Finance》2004,11(4):487-506
The inequality in pre-tax income increased in Norway in the 1990s, while the concentration of taxes remained largely unaltered. This means that tax progressivity has decreased in the period, as measured by summary indices of tax progressivity. In this paper I analyze individual income data to ascertain whether tax changes in the period can explain the observed decrease in tax progressivity. As marginal tax rates at high income levels have been substantially reduced in the period, for instance through the tax reform of 1992, it is expected that tax changes may have influenced the degree of inequality in pre-tax incomes. This behavioral effect is examined by deriving estimates of the elasticity of gross income with respect to the net-of-tax rate, obtained from various panel data regressions. The tax changes may also have shifted the distributional burden of taxes for unaltered level of pre-tax income inequality. In order to identify this (direct) effect of tax-law alterations, the same fixed distribution of pre-tax income is exposed to various tax-laws in the period. 相似文献
114.
This paper examines takeover and divestiture activity at the industry level for the population of UK firms over the period 1986–2000. Consistent with US research, takeovers in the UK cluster both across industries and over time. The evidence for divestitures indicates clustering across industries only. The paper further investigates whether broad and specific industry shocks (e.g., growth, free cash flow, concentration, deregulation, foreign competition, technology, stock market performance) explain takeover and divestiture clustering at the industry level. The results suggest that broad shocks increase (decrease) the likelihood of takeovers (divestitures), although not significantly for takeovers. Specific industry shocks that increase the likelihood of takeover activity include low growth, the threat of foreign competition and high stock market performance. For divestitures, high industry concentration and deregulation increase activity. Little evidence is found for deregulation as a significant factor in explaining takeover activity. 相似文献
115.
We study whether corporate governance and social responsibility are related to data breaches. We find that socially responsible companies with smaller boards and greater financial expertise are less likely to be breached. The financial impact of a breach is visible in the long term. Specifically, data‐breach firms have –3.5% one‐year buy‐and‐hold abnormal returns. Additionally, banks with breaches have significant declines in deposits and nonbanks have significant declines in sales in the long run. Finally, we find that following a data breach, companies are more likely to replace their chief executive officer and chief technology officer as well as improve their governance and social responsibility. 相似文献
116.
Mario V. Wüthrich 《Scandinavian actuarial journal》2018,2018(6):465-480
Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving. 相似文献
117.
Using quarterly call report data from 2000 to 2016, we reexamine the relationship between net interest margins (NIM) and the yield curve for more than 5,500 U.S. commercial banks. In the full sample, yield curve and RGDP growth have positive effects on NIM, while inflation and deposit‐to‐loan ratios (D/L) have negative effects. Splitting the sample around the 2007–2009 crisis, we show the impact of yield curve and RGDP growth on NIM increasing during the “recovery” (2009Q3 to 2016Q4), and inflation and D/L changing signs. Positive effects of yield curve on profits vary with bank size and change over time. 相似文献
118.
119.
Changkyu Choi 《新兴市场金融与贸易》2018,54(2):328-335
The 2007/2008 US financial crisis is related to the securitization of mortgage loans and the housing-price boom and bust. In this article, we test the hypothesis that housing-price change is related to the development of the financial system. Using panel data for 23 countries from 1988 to 2012, we have found that the housing-price growth rate increases as the financial system moves a bank orientation to a market orientation. The policy implication is that the government should beware sudden increases in the capital market relative to the banking sector. Especially, more sophisticated financial supervision with respect to housing-price movement is required when a bank-based financial system progresses quickly to a market-oriented financial system. 相似文献
120.
In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation. 相似文献