This paper considers platform competition in a two‐sided market that includes buyers and sellers. One of the platforms benefits from a favorable coordination bias in the market, in that for this platform it is less costly than for the other platform to convince customers that the two sides will coordinate on joining it. We find that the degree of the coordination bias affects the platform's decision regarding the business model (i.e., whether to subsidize buyers or sellers), the access fees, and the size of the platform. A slight increase in the coordination bias may induce the advantaged platform to switch from subsidizing sellers to subsidizing buyers, or induce the disadvantaged platform to switch from subsidizing buyers to subsidizing sellers. Moreover, in such a case the advantaged platform switches from oversupplying to undersupplying sellers, and the disadvantaged platform switches from undersupplying to oversupplying sellers. 相似文献
AbstractThis paper analyses how financial institutions' arbitrary intermediation behaviors, including adjustments in bank lending and deposit rates, influence monetary policy transmission channels. For the analysis, we develop a New Keynesian Dynamic Stochastic General Equilibrium (NK DSGE) model with parameters estimated to fit the Korean conditions. The role of banks is subsequently examined by classifying monetary policy transmission channels (real rate channel, nominal debt channel, financial accelerating channel, and banking attenuator channel). A notable part of this analysis is the inclusion of the banking sector in the model specifically with the intent to study transmissions from the financial sector to the real economy. This paper follows this line of inquiry with recent research in mind. Empirical analysis verifies the existence of the banking attenuator effect in Korea, which means banks act to reduce the effect of monetary policies. This indicates that if financial intermediaries strengthen arbitrary adjustment behaviors of lending and deposit rates, the effect of the monetary policy intended to relieve volatility in the business cycle may not be as high as expected. 相似文献
One of the main concerns associated with the development and use of regional CGE models is the determination of key parameter values, particularly substitution and other price elasticities. A common problem is the lack of appropriate regional data for econometric estimation. Consequently, it is important to identify key parameters that are likely to be important in determining quantitative results and then to prioritize these for estimation where appropriate data are available. In this paper, the focus is on the estimation of the regional trade (import) substitution parameters, which tend to be important in analysis for regional economies (given their openness to trade). Here, commodity import elasticities for the Illinois economy are estimated and tested in a single region CGE model of the Illinois economy. In our econometric estimation, we apply a model that takes account of market size and distance in estimating the substitutability between commodities produced in Illinois and other US states. 相似文献
This study integrates e-shopping quality, enjoyment, and trust into a technology acceptance model (TAM) to understand consumer acceptance of e-shopping. Online surveys with college students (n = 298) were conducted. E-shopping quality for apparel products consists of four dimensions: web site design, customer service, privacy/security, and atmospheric/experiential. A structural equation model reveals that e-shopping quality determines perceptions of usefulness, trust, and enjoyment, which in turn influence consumers' attitudes toward e-shopping. Consumer perceptions of usefulness and attitude toward e-shopping influence intention to shop online, while perceived ease of use does not influence attitude toward e-shopping. Shopping enjoyment and trust play significant roles in consumers' adoption of e-shopping. This study provides important implications for e-tailers whose web site developers must keep in mind that customers are not only web users with trust/safety and information needs, but also shoppers with service and experiential needs. 相似文献
The purpose of this study is to understand the relationship between ‘brand personality’ and key outcomes in the Chinese automobile industry. A secondary aim of the study is to look at whether or not these relationships hold across purchasers and non-purchasers. The major conclusion is that while brand personality dimensions are somewhat consistent across both purchasers and non-purchasers, the brand personality outcomes differ somewhat between the groups. First, brand personality plays a critical role in improving perceived quality and creating brand trust, a key finding given the intensely competitive nature of the Chinese automobile industry. Second, perceived quality plays an important role in mediating the relationship between brand personality and brand commitment for both groups. Third, perceived quality does not affect brand trust for the purchaser group. In the context of Chinese automobile industry, increasing the level of perceived quality of a particular brand requires convincing non-purchasers that the brand is valuable, and that the information being provided is useful. Fourth, since the relationship between perceived quality and brand trust was found to be non-significant, future research studies may wish to focus on obtaining a better understanding of Chinese cultural perspectives to shed further light on why perceived quality and brand trust are not related for the automobile purchaser group. 相似文献
We construct a two-part model of the Chinese economy. The first part consists of a money supply equation, a real money demand equation, and a savings equation. The second part comprises a set of sectoral equations. The model estimated is then used to generate a dynamic simulation of the paths of real national income, the aggregate price level, sectoral output, and sectoral prices. The model tracks quite well within sample, thus indicating that it may be used to analyze the future effects of policy changes. We therefore carry out counterfactual policy simulations based on monetary changes. 相似文献
In this study, the AdaBoost, MultiBoost and RealAdaBoost methods were combined with the Quadratic Discriminant Analysis method to develop three new GIS-based Machine Learning ensemble models, i.e., ABQDA, MBQDA, and RABQDA for groundwater potential mapping in the Dak Nong Province, Vietnam. In total, 227 groundwater wells and 12 conditioning factors (infiltration, rainfall, river density, topographic wetness index, sediment transport index, stream power index, elevation, aspect, curvature, slope, soil, and land use) were used for this study. Performance of the models was evaluated using the Area Under the Receiver Operating Characteristics Curve AUC (AUC) and several other performance metrics. The results showed that the ABQDA model that achieved AUC?=?0.741 was superior to the other models in producing an accurate map of groundwater potential for the Dak Nong Province. The models and potential maps produced here can help policymakers and water resources managers to preserve an optimal exploit from these vital resources.