Financial capability of student loan holders who are college students,graduates, or dropouts

Effective consumer financial education provides relevant information to meet special needs of targeted audiences. The purpose of this study is to examine differences in financial capability among student loan holders who are college students, graduates, and dropouts. Using data from the 2015 U.S. National Financial Capability Study, the results show that student loan holders who have completed their education program have higher scores in all financial capability indicators than college students and dropouts. Further analyses show differences in specific financial knowledge items among college students, graduates, and dropouts. In addition, college graduates are more likely to perform several specific desirable financial behaviors than college students and dropouts. The findings suggest that financial educators should emphasize action taking when they provide financial education for student loan holders who are college students and dropouts.     

Change or perish: Examining the role of human capital and dynamic marketing capabilities in the hospitality sector

Many researchers have endeavored to explain which factors contribute to sustainable competitive advantage. Toward this end, this study contributes to the marketing and hospitality management literature by providing empirical evidence on how human capital, dynamic marketing capabilities, and market dynamism influence competitive advantage in the hotel sector. We collected cross-sectional survey data from marketing and sales managers in 165 hotels, along with in-depth interviews in three hotels, based in four Gulf Cooperation Council (GCC) countries, namely, Saudi Arabia, Qatar, United Arab Emirates and Bahrain. The findings reveal that human capital directly, and indirectly through dynamic marketing capabilities, plays a critical role on developing competitive advantage. To contextualize this role, our research reveals that market dynamism moderates the mediated relationship between human capital and competitive advantage via market sensing capabilities. We discuss how the findings offer theoretical and managerial implications for the development of competitive advantage in the hotel sector.     

Is forest carbon sequestration at the expense of bioenergy and forest products cost-efficient in EU climate policy to 2050?

Forest management affects the quantity of CO₂ emissions in the atmosphere through carbon sequestration in standing biomass, carbon storage in forest products and production of bioenergy. The main question studied in this paper is whether forest carbon sequestration is worth increasing at the expense of bioenergy and forest products to achieve the EU emissions reduction target for 2050 in a cost-efficient manner. A dynamic cost minimisation model is used to find the optimal combination of carbon abatement strategies to meet annual emissions targets between 2010 and 2050. The results indicate that forest carbon sequestration is a low-cost abatement method. With sequestration, the net present costs of meeting EU carbon targets can be reduced by 23%.     

Forecasting China's GDP growth using dynamic factors and mixed-frequency data

Forecasting GDP growth is important and necessary for Chinese government to set GDP growth target. To fully and efficiently utilize macroeconomic and financial information, this paper attempts to forecast China's GDP growth using dynamic predictors and mixed-frequency data. The dynamic factor model is first applied to select dynamic predictors among large amount of monthly macroeconomic and daily financial data and then the mixed data sampling regression is applied to forecast quarterly GDP growth based on the selected monthly and daily predictors. Empirical results show that forecasts using dynamic predictors and mixed-frequency data have better accuracy comparing to traditional forecasting methods. Moreover, forecasts with leads and forecast combination can further improve forecast performance.     

Quantifying land-use change impacts on the dynamic evolution of flood vulnerability

Recently, dramatic flood disasters have occurred incrementally in several regions of the world. Land-use change as one of the main affecting factors becomes a key component in flood risk management. This study strives to deal with quantifying how changes in land use to affect the dynamic evolution of flood vulnerability. The floodplains of Wuhan, which are located in the Yangtze River Basin, have been selected as an example. In this paper, we use GIS to gather different historical geometric data as sources of land-use information. By proposing the Simpsons-dominance index and location index to analyze the characteristics of land-use changes, and building a quantitative model to measure flood vulnerability, a series of flood vulnerability maps demonstrate differential flood vulnerability of floodplains of Wuhan in three inundation scenarios and four historical periods. Finally, the non-parametric correlation is used to reveal the interactive effect of land use and flood vulnerability. Based on this study, comprehensive flood disaster management strategies for land-use planning are proposed for government decision-makers to reduce the flood vulnerability of Wuhan in future.     

Wholly owned foreign subsidiary relation-based strategies in volatile environments

Drawing from dynamic capability, institutional, nonmarket strategy, and social-network literatures, we detail wholly owned subsidiary (WOFSs) relation-based strategies (RBSs). We explain how deploying RBSs with key nonmarket and market actors will create competitive advantages for WOFSs operating in volatile emerging market environments. We posit that dynamic capabilities will drive the deployment of RBSs by WOFSs, and argue that the positive relationship between dynamic capabilities and RBS deployment will strengthen as perceived institutional uncertainty increases. We further suggest that the greater the strength and frequency of RBS deployment, the more likely that a WOFS will establish a combination of nonmarket-based and market-based embedded assets. Also, our theory proposes that greater integration of nonmarket-based and market-based assets will enhance WOFS financial performance outcomes. Implications for future research are discussed.     

A new index of financial conditions

We use factor augmented vector autoregressive models with time-varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key US macroeconomic variables. Time-variation in the models׳ parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time. We discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables.     

Beauty contest,bounded rationality,and sentiment pricing dynamics

We present a dynamic asset pricing model that incorporates investor sentiment, bounded rationality and higher-order expectations to study how these factors affect asset pricing equilibrium. In the model, we utilize a two-period trading market and investors make decisions based on the heterogeneous expectations principle and the “sparsity-based bounded rational” sentiment. We find that bounded rationality results in mispricing and reduces it in next period. Investor sentiment produces more significant effects than private signals, optimistic investor sentiment increases hedging demand, thus causing prices to soar. Higher-order investors are more rational and attentive to the strategies of other participants rather than private signals. This model also derives the dampening effect of higher-order expectations to price volatility and the heterogeneity expectation depicts inconsistent investor behavior in financial markets. In the model, investors' expectations about future price is distorted by their sentiment and bounded rationality, so they obtain a biased mean from the signal extraction.     

Bibliometric analysis of absorptive capacity

This study contributes to our understanding of absorptive capacity (AC) by reviewing AC articles systematically using two types of blibliometric co-citation analysis – bibliometric co-citation and bibliometric cartography – for the last 25 years. In total, we analyzed 336 articles (using HistCite) and 2088 articles (using VOSviewer), respectively, finding five research streams in AC: (1) intra-organizational learning; (2) inter-organizational learning; (3) knowledge transfer; (4) dynamic capability; and (5) micro-foundations. This integrative literature review of AC adds to the categorization of the literature, links the international business research to AC, and provides promising future research directions. Our study gives detailed information about the development of each research stream by measuring the number of publications in each stream over 25 years using bibliometric cartography analysis. Based on the literature, we propose 26 future research questions for these five research streams.     

发包方与供应商间关系对供应商创新能力的影响

采用多元层级回归方法,对影响供应商创新能力的驱动因素以及供应商在供应链网络中的等级位置对各驱动因素与供应商创新能力间关系的调节作用进行了理论探讨和实证分析。结果显示:在跨国外包情景下,发包方支持、共享活动和联结强度对供应商的创新能力具有显著的积极影响;供应商在供应链网络中的等级位置对联结强度与供应商创新能力间关系具有显著的正向调节作用,对共享活动与供应商创新能力间关系的正向调节作用不稳定。