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1.
We study the implementation of a time-varying pricing (TVP) program by a major electricity utility in Costa Rica. Because of particular features of the data, we use recently developed understanding of the two-way fixed effects differences-in-differences estimator along with event-study specifications to interpret our results. Similar to previous research, we find that the program reduces consumption during peak-hours. However, in contrast with previous research, we find that the program increases total consumption. With a stylized economic model, we show how these seemingly conflicted results may not be at odds. The key element of the model is that previous research used data from rich countries, in which the use of heating and cooling devices drives electricity consumption, but we use data from a tropical middle-income country, where very few households have heating or cooling devices. Since there is not much room for technological changes (which might reduce consumption at all times), behavioral changes to reduce consumption during peak hours are not enough to offset the increased consumption during off-peak hours (when electricity is cheaper). Our results serve as a cautionary piece of evidence for policy makers interested in reducing consumption during peak hours—the goal can potentially be achieved with TVP, but the cost is increased total consumption  相似文献   
2.
数字经济是中国制造业实现由大变强的必由路径.装备制造业作为工业之母,其数字经济水平是工业技术进步上台阶的重要保障.从全要素生产率视角收集了2005—2018年中国装备制造业及6个细分行业的数据资料,实证研究数字经济对装备制造业全要素生产率的影响.结果显示,数字经济显著提高了中国装备制造业的全要素生产率,其中分解项技术进步的提升效果要大于技术效率.最后从数字经济视角针对装备制造业的全要素生产率提升给出了对策建议.  相似文献   
3.
This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β–return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios with higher state βs earn higher returns.  相似文献   
4.
目的 探讨新一代与老一代流动人口生活满意度的影响因素,为制定流动人口管理和农民工市民化政策提供参考。方法 文章基于珠三角地区流动人口的问卷调查数据,构建OLS回归模型和分位数回归模型分析两代流动人口生活满意度。结果 (1)住房面积、社会保险、个人收入、对所在城市印象以及城市医疗影响两代流动人口生活满意度,但是在不同生活满意度分位数水平下,影响因素存在差异;(2)在低生活满意度水平下,务工年限、个人收入显著地影响老一代流动人口生活满意度,而住房面积、社会保险及对所在城市的印象显著地影响新老两代流动人口生活满意度;(3)在高生活满意度水平下,社会保险、对所在城市印象显著地影响老一代流动人口生活满意度,而务工年限显著地影响新一代流动人口生活满意度。结论 新一代流动人口的生活满意度高于老一代流动人口,在不同生活满意度分位数水平下,两代流动人口影响因素存在差异。因此,制定流动人口生活满意度政策需要考虑代际差异,还需要考虑不同分位数水平下的差异。  相似文献   
5.
在界定休闲渔业产业化概念的基础上,从经济、社会、产业和支撑四个方面,创新性地选取26项指标构建休闲渔业产业化发展潜力评价指标体系,采用因子分析法和层次分析法对长江经济带11个省份休闲渔业产业化发展潜力进行科学评价。结果表明,长江经济带休闲渔业产业化发展潜力呈现东部沿海地区和中部的湖北相对领先,中部其余省份和西部地区相对落后的分布格局。进一步采用聚类分析法将长江经济带休闲渔业产业化发展潜力划分为四个等级,并分析不同等级地区存在的优势和不足,据此提出促进各地休闲渔业产业化发展的建议。  相似文献   
6.
文章通过数据包络模型测算2013-2018年我国31个省的农业绿色全要素生产率,剖析其时空分布演进特征,在测算结果基础上构建空间杜宾模型,探讨农业科技创新对农业绿色全要素生产率的空间溢出效应。研究发现:2013-2018年全国农业绿色全要素生产率空间分异与集聚特征明显;本省农业科技创新显著促进了农业绿色全要素生产率的提升,而其辐射作用阻碍了周边省的农业绿色全要素生产率的提高。研究结果对于深化完善农业科技创新机制、提升农业科技教育水平、创新农业科技推广模式具有现实意义。  相似文献   
7.
在梳理国内外BIM采纳与扩散相关研究的基础上,从新制度主义理论出发,提出了水利水电工程组织场域并分析了其特征;进而运用技术-组织-环境(TOE)框架和匹配理论,分别讨论了水利水电工程组织场域BIM扩散的主要影响因素,形成一个整体的理论分析框架。分析表明,水利水电工程组织场域BIM扩散的影响因素主要包括:相对优势、兼容性和复杂性等技术因素,组织沟通、资源就绪度和高层领导支持等组织因素,以及制度环境、市场环境等环境因素。  相似文献   
8.
This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders—large orders that are split into smaller pieces before being sent to the market—on one of the main Asian markets. In line with our previous work on the equity market [Said, E., Bel Hadj Ayed, A., Husson, A. and Abergel, F., Market impact: A systematic study of limit orders. Mark. Microstruct. Liq., 2018, 3(3&4), 1850008.], we propose an algorithmic approach to identify metaorders, based on some implied volatility parameters, the at the money forward volatility and at the money forward skew. In both cases, we obtain results similar to the now well-understood equity market: Square-Root Law, Fair Pricing Condition and Market Impact Dynamics.  相似文献   
9.
This paper proposes an empirical model for analysing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010–17 and 2010–19. Price discovery is achieved through the Gonzalo–Granger permanent‐transitory decomposition. The pricing factors are endogenous linear combinations of the S&P 500 index, gold price, a Google search variable associated to Bitcoin and a fear index proxied by the FED Financial Stress Index. Our empirical analysis shows that during the first period, a linear combination of four pricing factors describes the efficient Bitcoin price. The S&P 500 index and Google searches have a positive effect whereas gold prices and the fear index have a negative effect. In contrast, during the second period, the efficient price behaves idiosyncratically and can be only rationalised by individuals' search for information on the cryptocurrency. These findings provide empirical evidence on the presence of a correction in Bitcoin prices during the period 2018–19 uncorrelated to market fundamentals. We also show that standard empirical asset pricing models perform poorly for explaining Bitcoin prices.  相似文献   
10.
Online-to-offline (O2O) has become a rapidly growing e-commerce model worldwide, but the factors influencing consumers' purchase decision-making have not been examined well. After exploring the working mechanism of the O2O model, we extract eleven indexes of consumers' overall evaluation in the O2O model with Crawlzilla and R techniques. Social network analysis (SNA) is adopted to build social networks reflecting consumers' overall evaluation in the O2O model. Based on the modified social network and the extracted subgraph, this study (N = 768) reveals consumers' overall evaluation behavior patterns in the O2O model by calculating network density, central potential, edge betweenness. The results show that shoppers overall evaluate the eleven indexes, especially perceived product quality, online product price, promotion intensity, business reputation, and product brand, which reflects the significant associations between the indexes. Among all the eleven evaluation indexes, perceived product quality, online product price, and business reputation dominate consumers’ decision-making behavior. When making purchase decisions, consumers not only overall consider online product price, perceived product quality, and business reputation but also balance perceived product quality, business reputation, and promotion intensity. Finally, we make some suggestions on marketing strategy for e-commerce companies.  相似文献   
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