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1.
本研究利用高效液相色谱同时测定食用油中没食子酸丙酯(PG)、没食子酸月桂酯(DG)、没食子酸辛酯(OG)、叔丁基对苯二酚(TBHQ)、叔丁基对羟基茴香醚(BHA)、2,6-二叔丁基对甲基苯酚(BHT)、2,6-二叔丁基-4-羟甲基苯酚(Ionox-100)7种抗氧化剂的测定方法,样品中的抗氧化剂经正己烷溶解、乙腈萃取后,经C18柱分离,乙腈-1.5%乙酸溶液体系为流动相进行梯度洗脱,紫外检测器检测,外标法定量。选择线性范围在1~100mg/L,结果表明7种抗氧化剂呈良好的线性关系,相关系数r大于0.999,方法的测定低限为0.8~2.0mg/kg,回收率在89.3%~110.1%,变异系数在1.5%~4.9%。该方法准确、快速、重现性好,可用于大批量食用油检测中7种抗氧化剂的定量分析。 相似文献
2.
随着电力变压器朝着大容量、高电压、高负荷的方向发展,其结构也越发复杂,故障逐渐增加.当前广泛使用的改良三比值法在对电力变压器进行故障诊断的过程中,容易出现准确率低和漏判率高等问题.鉴于此,提出一种NBC模型,该模型将朴素贝叶斯网络和改良三比值法的优势结合,在对电力变压器当前状态数据和历史样本数据充分学习的基础上,利用朴素贝叶斯分类器对当前电力变压器故障的编码组合进行故障预测分类,将预测所得到的诊断结果进行排序整理输出,实现了对电力变压器各类故障的有效分类.仿真结果表明,该NBC模型能较好地适应电力变压器各类故障的诊断,故障综合诊断正确率为95%,相较于改良三比值法,诊断准确率提升了50%,具有较强的工程实用性. 相似文献
3.
This article provides a fresh insight into the dynamic nexus between oil prices, the Saudi/US dollar exchange rate, inflation, and output growth rate in Saudi Arabia’ economy, using novel Morlet’ wavelet methods. Specifically, it implements various tools of methodology: the continuous wavelet power spectrum, the cross-wavelet power spectrum, the wavelet coherency, the multiple and the partial wavelet coherence to the annual sample period 1969–2014. Our results unveil that the relationships among the variables evolve through time and frequency. From the time-domain view, we show strong but non-homogenous linkages between the four variables. From the frequency-domain view, we uncover significant wavelet coherences and strong lead-lag relationships. From an economic view, the wavelet analysis shows that Saudi economy is still exposed to several global risk factors, which are mainly related to the oil market volatility, and the pegging of the local currency to the US dollar. Such risk factors strongly and negatively affect the real economic growth, exert more pressure on inflation, and substantially limit the freedom to pursue an independent monetary policy. 相似文献
4.
Aims: To estimate the cost to hospitals of materials (i.e. medications, equipment, and supplies) required to administer common interventions for post-surgical analgesia after total knee arthroplasty (TKA), including single-injection peripheral nerve block (sPNB), continuous peripheral nerve block (cPNB), periarticular infiltration of multi-drug cocktails, continuous epidural analgesia, intravenous patient-controlled analgesia (IV PCA), and local infiltration of bupivacaine liposome injectable suspension (BLIS).Materials and methods: This analysis was conducted using a mixed methods approach combining published literature, publicly available data sources, and administrative data, to first identify the materials required to administer these interventions, and then estimate the cost to the hospital of those materials. Medication costs were estimated primarily using the Wholesale Acquisition Costs (WAC), the cost of reusable equipment was obtained from published sources, and costs for disposable supplies were obtained from the US Government Services Administration (GSA) database. Where uncertainty existed about the technique used when administering these interventions, costs were calculated for multiple scenarios reflecting different assumptions.Results: The total cost of materials (i.e. medications, equipment, and supplies) required to provide post-surgical analgesia was $41.88 for sPNB with bupivacaine; $756.57 for cFNB with ropivacaine; $16.38 for periarticular infiltration with bupivacaine, morphine, methylprednisolone, and cefuroxime; $453.84 for continuous epidural analgesia with fentanyl and ropivacaine; $178.94 for IV PCA with morphine; and $319.00 for BLIS.Limitations: This analysis did not consider the cost of healthcare providers required to administer these interventions. In addition, this analysis focused on the cost of materials and, therefore, did not consider aspects of relative efficacy or safety, or how the choice of intervention for post-surgical analgesia might impact outcomes such as length of stay, re-admissions, discharge status, adverse events, or total hospitalization costs.Conclusions: This study provided an estimate of the costs to hospitals for materials required to administer commonly used interventions for post-surgical analgesia after TKA. 相似文献
5.
[目的]为促进水库移民的生计恢复及转型,探寻就业结构和土地流转间的交互机制,分析两者间耦合作用对当前移民安置模式及政策的影响。[方法]文章从移民就业结构变迁出发,通过超边际理论构建了安置区移民土地的流转机制模型,推演了从业决策对土地流转行为的影响路径,并运用南水北调农业安置移民数据进行实证检验。[结果]大面积转出土地是移民搬迁后土地处置的主要行为,移民中土地转入户有所增加,但土地集中度却有所减少。移民非农就业较搬迁前有明显上升,并有向当地兼业转移的趋势,但与土地流转间并不互为因果,农村社保还难以弱化其对土地养老的依赖。劳动力数量、非农就业时间、非农收入占比、土地政策等对移民土地流转行为和规模均有显著影响,而外出就业前景和地租水平在促进土地流转行为的同时,却不一定能增加土地流转面积。[结论]移民外迁中可以采用无土安置代替农业安置,推动移民土地流转的关键在于技能培训、政策保障和地租补贴,简单的就业推荐和土地权属划分的作用有限。而对于移民中的农业大户,则需在满足土地转入面积的基础上,保障其在安置区的各项土地权益。 相似文献
6.
ABSTRACTThis article identifies the breakdowns in the covariance of three benchmark crude oil futures markets (WTI, Brent and Dubai) and investigates the changes of market connectedness across the breakdown periods. As the crude oil futures are traded in different regions, this article eliminates the non-synchronous trading data by employing the Vector Moving Average structure and the Bayesian data augmentation approach, which keeps the integrity of original data without changing its properties. The results show that there are significant breaks in the covariance structure of crude oil futures markets. The breakdown periods are consistent with the periods when the market volatilities are at high level and the returns are volatile. The changes of market connectedness are independent of the covariance states, which supports the globalization hypothesis for the crude oil market. The results also suggest that there is more information flow out of the WTI than to the WTI during the sample period, particularly during the breakdown periods in 2008–2009. 相似文献
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8.
Recent evidence suggests shifts (structural breaks) in the volatility of returns causes non‐normality by significantly increasing kurtosis. In this paper, we endogenously detect significant shifts in the volatility of oil prices and incorporate this information to estimate Value‐at‐Risk (VaR) to accurately forecast large declines in oil prices. Our out‐of‐sample performance results indicate that the model, which incorporates both time varying volatility (without making any distributional assumptions) and shifts in volatility, produces more accurate VaR forecasts than several benchmark methods. We make a timely contribution as the recent more frequent occurrences of unexpected large oil price declines has gained significant attention because of its substantial impact on the financial markets and the global economy. 相似文献
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10.
Based on the wavelet analysis approach, this paper firstly examines the dynamic relationship between global economic activity (proxied by the Kilian economic index) and crude oil prices in both time- and frequency-domains. Our empirical results demonstrate significant correlation between crude oil prices and global economic activity at high frequencies (in the short run) during the entire sample period; however, the co-movement between the two at low frequencies (in the long run) is weaker and exists only during certain proportions of the sample period. We also document evidence that global economic activity and oil price are positively correlated, with dynamic lead-lag relationships across time. Our findings are robust to alternative choices of oil price indexes and controlling for other confounding factors such as geopolitical risk, armed conflicts, economic policy uncertainty and equity market uncertainty. The current study provides valuable implications for oil market investors based on the information of global economic situation and its dynamic relationships with oil prices. 相似文献