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1.
基于马克思经济学资源配置理论,探讨知识产权运营与数据要素市场化配置的关联性。在梳理数据要素市场化配置基础政策、关联政策和专门政策的基础上,对知识产权大数据平台系统、大数据金融产品、大数据中心建设和大数据产业应用联盟进行比较。结果发现:第一,我国知识产权运营领域数据要素市场化配置改革主要存在3大瓶颈:数据要素产权界定不明、交易流转不畅及安全监管不易;第二,知识产权运营领域数据要素市场化配置路径需从加快知识产权运营数据汇聚共享、推动知识产权运营数据产业化应用和强化知识产权运营数据安全治理3个方面予以完善。 相似文献
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知识经济时代,企业能否发现并利用知识演进规律对提升自身知识质量和知识创造能力尤为重要。引入知识隐匿和组织惰性,构建知识势差对知识进化影响路径的概念模型。结合高新技术企业调研数据进行实证分析,并试图诠释企业知识进化实现过程的逻辑原理。实证结果表明,知识势差对知识适应进化和变异进化具有正向影响,对知识遗传进化具有负向影响。知识隐匿在知识势差与知识进化之间起着部分负向中介作用,组织惰性对知识势差及知识进化间关系具有调节作用。 相似文献
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采用创业板2011—2016年251家科技型中小企业数据,从研发经费投入和技术人员投入两个方面检验技术创新投入在政府补助对企业成长影响的中介作用,以及市场化进程和要素市场发育程度的调节作用。实证研究发现:①研发经费投入在政府补助对企业成长的影响中有中介作用,技术人员投入在政府补助对企业成长的影响中中介作用不明显;②市场化进程越高的地区,政府补助通过研发经费投入对企业成长的影响越强,政府补助通过技术人员投入对企业成长的影响也越强;③要素市场发育程度越好的地区,研发经费投入在政府补助与企业成长间的中介作用越强,技术人员投入在政府补助与企业成长间的中介作用也越强。 相似文献
4.
Lei Cheng 《Journal of Comparative Economics》2018,46(2):495-514
This paper estimates the value of political connections by examining stock price reactions to sudden deaths of retired government officials who were acting as independent directors of private firms in China from 2003 to 2012. Employing an event study, we find that, if a private firm loses political connections because of the sudden death of an independent director who was previously a government official, its stock price drops 3.61% on average within ten trading days. After the loss of political connections, we find that it is possible but infeasible for a private firm to reestablish political connections with the government in a short period of time. Moreover, the sudden death of a retired government official leads to a reduction in the economic benefits (e.g., bank loans, tax preference, and government subsidies) obtained by a private firm, which provides a reasonable explanation for the negative stock price reaction after losing political connections. 相似文献
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We investigate the relationship between Bitcoin and conventional financial assets from a perspective on the connectedness of asset networks. We adopt the method of measuring connectedness proposed by Diebold and Yilmaz (2009, 2012, and 2014) in a VAR system to study the dynamic interdependence between returns in Bitcoin, stocks, oil, and gold. We find that the connectedness between bitcoin and conventional assets is weak. The separation of positive and negative returns in the Bitcoin market shows the existence of an asymmetric pattern of the spillover effects between Bitcoin and conventional assets. A rolling window analysis finds that although Bitcoin prices experience a rising link to other financial assets, the magnitude is proven to be moderate. However, connectedness via negative returns is much stronger than via positive ones and exhibits a clearly increasing trend in recent periods. Our results in application are generally robust to other popular cryptocurrencies, such as ETH and Ripple. The findings presented in this paper have important implications for financial market participants, policymakers, and researchers in light of projected increases in the adoption of Bitcoin, as well as the rapid development of cryptocurrency. 相似文献
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In this paper, we empirically investigate how greenness information is priced in the green bond market. Our comparison of liquidity-adjusted yield premiums of green bonds versus synthetic conventional bonds indicates that, on average, there is no robust and significant yield premium or discount on green bonds. However, green bonds certified by an external reviewer enjoy a discount of about 6 bps. Furthermore, green bonds that obtain a Climate Bonds Initiative certificate show a discount of around 15 bps. The findings suggest that a universally accepted greenness measure can benefit the development of the green bond market. 相似文献
9.
We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items. 相似文献
10.
This paper examines the correlation and the dependence patterns of the Qatar stock market with other markets using copula statistical theory and exploiting new datasets covering the period August 1998 to June 2018. To examine the crisis –specific change in the average degree of dependence we decomposed the data into the time periods before and after oil price shocks and the 2017 political crisis among the Gulf Cooperation Council members (i.e. the Qatari blockade). Our findings from the static copula modelling show that the correlations between the Qatari and the other stock markets significantly change after the oil price and the blockade crisis as well. The degree of change in the correlation is time varying and differs from county-group to another. Moreover, our findings reveals that the 2008 global financial crisis has a stronger impact than the price shocks and political crisis. The findings of the paper are of interest and allow for formulating a reliable and dynamic portfolio design framework for investors and risk managers. 相似文献