企业创新网络结构、组织学习与企业创新绩效的关系研究

在梳理国内外文献的基础上,着重分析了企业创新网络结构、组织学习与企业创新绩效的关系,构建了三者关系的理论模型,揭示企业创新网络结构对企业创新绩效影响的内在机理,最后提出本文研究的不足及未来研究方向。     

Relative-to-rival corporate philanthropy,product market competitiveness,and stakeholders

Unlike most of the literature that examines the relationship between corporate philanthropy and financial performance, this study investigates the mechanisms through which corporate socially responsible behaviors produce financial outcomes. We propose that corporate philanthropy improves corporate competitiveness by eliciting positive responses from stakeholders, who assess a firm’s philanthropic contribution in relation to its rivals to determine what level of support they wish to provide to the firm. We predict that a firm’s philanthropy relative to its rivals has a positive effect on its product market competitiveness, and that this positive effect is moderated by three conditions that influence stakeholder response: stakeholder attention to philanthropy, its perceived legitimacy, and expectations of corporate giving. Our predictions are generally supported by our analyses. Overall, this paper shows that strategic philanthropy has a quantitative dimension, and firms obtain the market competitiveness associated with corporate philanthropy by integrating their rivals’ positions into their decision making.     

Measuring misleading information in IPO prospectuses

Review of Quantitative Finance and Accounting - Newly public firms may provide misleading information about their business plans in their initial public offering (IPO) prospectuses. Using textual...     

Key impact factors of visitors’ environmentally responsible behaviour: personality traits or interpretive services? A case study of Beijing’s Yuyuantan Urban Park,China

The environmentally responsible behaviour (ERB) facilitates the sustainability of tourism destinations. This study aims to identify the key impact factors to promote visitors’ ERB in urban park and examine the impact mechanism. A total of 567 visitors were surveyed in Beijing’s Yuyuantan Urban Park. Structural equation modelling results indicate that personality traits are the most important factors that affect visitors’ ERB, while the effect of how satisfaction with interpretive services plays upon visitors’ ERB using place attachment as a mediator. Openness traits positively affect satisfaction with experiential services and general behaviour. Additionally, implications in urban park management are provided.     

门票减免政策下的景区盈利模式创新研究

门票减免政策是加快发展全域旅游、实现景区乃至旅游业可持续发展的重要举措，但也使过分依赖“门票经济”的景区面临经营困境，因此，研究景区盈利模式创新具有现实意义。文章首先梳理了目前的门票减免政策，然后基于斯莱沃斯基的盈利模式理论，对景区盈利模式要素进行了分析，发现拓宽盈利源、丰富盈利点、巧用盈利杠杆、构筑利润屏障是景区盈利的四大方向。文章结合景区发展的内外部条件，从产业链—要素、产品—利润、文化创意—增加值、外部—借势等角度提出“遍地开花”“金字塔”“点睛之笔”“巧借东风”四种盈利模式，并结合多个景区案例展开分析，探索景区盈利的突破点，为“门票经济”桎梏下的景区创新盈利模式、增加综合收益提供借鉴。     

高分1号冬小麦解译面积核算方法研究

[目的]以高分1号(GF-1)融合2m卫星遥感影像为基础数据源,结合土地利用现状数据、高分多源遥感影像和地面样方等数据,对冬小麦分类提取中存在的面积误差问题进行研究和分析。[方法]文章以河南省永城市为研究区,在冬小麦提取结果聚类处理基础上,基于线性地物缓冲区数据,采用GIS空间运算实现线性地物面积扣除,接着分析了样方数据和土地利用现状数据再扣除零星地物面积比例上的差异,并采用样方零星地物平均扣除系数对全市各乡镇耕地与非耕地中冬小麦提取面积进行了相关统计和误差分析。[结果]永城市冬小麦最终解译面积11. 29万hm~2,其中线性地物和零星地物扣除面积分别为6 613. 08hm~2和3 875. 22hm~2,占研究区冬小麦解译面积的5. 86%和3. 32%,与统计上报数据相比,其处理前后误差由14. 12%降低至4. 41%,有效地提高冬小麦提取面积精度。[结论]误差来源分析与修正对冬小麦解译面积核算精度具有重要影响,该研究为县级区域尺度下冬小麦面积提取核算提供了思路和借鉴。     

Heterogeneity of Funds and Information Disclosure: Evidence

Institutional investors, especially public funds, play an important role in governing listed firms as they grow in Chinese stock markets. We classify each fund as “dedicated,” “transient,” or “mixed,” according to the concentration, turnover, and profit sensitivity of their stock holdings. We find that listed firms with more shares held by dedicated funds have a higher disclosure quality, while firms with more shares held by transient funds have a lower disclosure quality. These findings are consistent in different model settings. In addition, dedicated funds improve the disclosure quality of non-state-owned enterprises more than state-owned enterprises. Dedicated funds can benefit from the lower debt-financing cost and higher stock liquidity of firms with better disclosure quality.     

Multidimensional private information,market structure,and insurance markets

We investigate whether selection based on multidimensional private information in risks and risk preferences can, under different market structures, result in a negative correlation between insurance coverage and ex post realization of risk. We show that, under perfect competition, selection based on multidimensional private information does not result in the negative correlation property, unless there is a sufficiently high loading factor. However, it is possible to generate the negative correlation property under monopoly when risk and risk preference types are sufficiently negative dependent. We also clarify the connections between important concepts such as adverse/advantageous selection and positive/negative correlation property.