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Our article aims at understanding the determinants of households’ selective waste-sorting behaviours, based on data from an original survey of 694 individuals in the French Provence–Alpes–Côte d’Azur region. The applied literature focuses mainly on countries with high recycling rates. We focus on a region with the lowest recycling rate in France, a country that recycles less than the European country average. We first apply polychoric principal components analysis to reduce the number of explanatory variables to a set of six factors. In a second step, we use a probit model to estimate the probability of waste sorting as a function of these factors. This model tests several hypotheses emerging from the recent literature on behavioural economics applied to households’ selective sorting. This literature pays particular attention to the social influence on recycling behaviour, which has been studied mostly by sociologists and psychologists. The results of our empirical analysis confirm some of the findings in the literature. However, they also highlight some unique features, such as social influences having a negative impact on recycling. This finding contrasts with most of the literature, which finds a positive relationship of social influence on pro-environmental behaviour.  相似文献   
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When evaluating the risks of future invasions, we often have sparse information on the likelihood that a species will arrive, establish and spread in a new environment, and on the potential impacts should this occur. Conventional risk assessment, therefore, is limited in providing guidance in managing the risk of non-indigenous species (NIS). However, risk management decisions must be made facing these uncertainties to avoid high and irreversible impacts.We develop an integrated ecological economic modeling and deliberative multi-criteria evaluation (DMCE) approach to support group decision-making in risk prioritization, using an example of ten NIS that could potentially impact Australian plant industries. This innovative approach seeks to combine the advantages of dynamic modeling with the benefits of DMCE in assessing and communicating uncertainty. The model unveils the complexity of the socio-ecological system of biological invasion, with a scenario analysis designed to interactively communicate scientific uncertainty to decision-makers. The DMCE provides a structured approach to identifying stakeholders' key concerns in addressing economic, social, and environmental dimensions of NIS risk explicitly. Functioning as a platform for risk communication, the DMCE also offers an opportunity for diverse views to enter the decision-making process and for the negotiation of consensus consensuses.  相似文献   
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  总被引:2,自引:0,他引:2  
Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities’ performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities’ own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university‐level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual‐level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university‐level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.  相似文献   
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Abstract

During the last decades the rapid progress in the fields of complex modelling and simulationor in the cognitive and the life sciences was not accompanied by a similar advancement of the socio-economic research tradition itself. Socio-economics as a hybrid field for the complex dynamics of modern societies across their micro-, meso- and macro-levels has still a long way to go in order to reach its full potential. The present article provides a general outline for expanding and advancing socio-economics along four different dimensions which should be able to produce a significant take-off for socio-economic theories, models, methods and mechanisms.  相似文献   
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We provide economy‐wide modelling results of the national and regional implications of two current challenges facing the Australian wine industry: a decline in export demand, and a possible change in the tax on domestic wine sales following the Henry Review of Taxation. The demand shock causes regional GDP to fall in the cool and warm wine regions, but not in the hot wine regions unless the shock is large. A change from the current ad valorem tax to a similarly low volumetric tax on domestic wine sales causes regional GDP to rise in the cool and warm wine regions, partly offsetting its fall due to the export demand shock, but GDP in the hot wine regions would fall substantially. The switch to a volumetric tax as high as the standard beer rate would raise tax revenue and lower domestic wine consumption by more than one‐third. However, it would induce a one‐third decrease in production of non‐premium wine as its consumer price would rise by at least three‐quarters (while the average price of super premium wines would change very little). This would exacerbate the difference in effects of a tax reform on GDP in hot versus warm and cool wine regions.  相似文献   
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The vast bulk of contemporary survey research is unable to give an indication of what employees will do, as opposed to what they might feel, in the event of any subsequent change to the work environment, for either the ‘better’ or the ‘worse’. From a practical point of view, this is a major impediment to developing a business case for any organisational intervention that might be considered. Recent collaboration between researchers involved in the fields of marketing and HR has produced a hybrid methodology called ‘employee choice modelling’ that simulates, models and quantifies employees' decisions about employment issues. This paper describes employee choice modelling and its possible use by HR policy‐makers.  相似文献   
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Behavioral operations management, or simply behavioral operations (BOps), aims at understanding the decision‐making of managers and at using this understanding to generate interventions that improve the operation of the supply chain. To do so, BOps imports knowledge from a number of fields such as economics, psychology and other social and behavioral sciences. We point out a blind spot in this knowledge: In BOps, the heuristics that people use are typically, although not always, viewed as a liability. The issue with this view is that it does not explain when and in what way heuristics can be an asset. We propose, as a research program for BOps, uncovering the conditions under which the heuristics that supply chain managers use are an asset, as well as the conditions under which they are a liability. We briefly discuss some research on heuristics in BOps and show how the study of quantitative models of heuristics can complement it.  相似文献   
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Several studies have demonstrated how to use DEA (Data Envelopment Analysis) based techniques to estimate environmental performance indices. None of these studies, however, are taking information on the environmental damage costs of the pressure types considered into account. This study is bridging a gap between environmental indices founded in physical pressures and damage costs founded in welfare economics. The aim of the paper is twofold: first, to demonstrate how to implement the information on environmental damage costs within a DEA based environmental performance index, and second, to estimate these indices at product level by using Danish input-output data and environmental data from 1997.  相似文献   
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In order to predict airline responses to Traffic Management Initiatives (TMIs), and reveal the underlying preference structures that shape these responses, we study US domestic airlines’ cancellation decisions in response to the Federal Aviation Administration (FAA)’s TMIs, in particular, to Ground Delay Programs (GDPs). By observing the actual flight-cancellation choices made by airline dispatchers, the airlines’ cancellation utility functions can be inferred through the use of binary choice models. The model captures how delays to a given flight and potential delay savings to other flights affect flight cancellation decisions. We also find larger, fuller, less frequent, shorter-distance, and spoke-bound flights are less likely to be cancelled, and that there is inter-airline variation in flight cancellation behaviour.  相似文献   
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