地方债务治理对银行信贷资金"脱虚向实"的影响——基于国务院"43号文"准自然实验的经验考察

国务院"43号文"的实施,为研究地方债务的治理效果提供了一个准自然实验场景.研究发现:地方债务治理对银行金融资产没有产生影响,但会显著增加银行总贷款、个人贷款和企业贷款,有助于银行信贷资金的"脱虚向实";地方债务治理能显著增加银行实体行业贷款,但不能显著增加银行非实体行业贷款和建筑业贷款.机制检验发现,地方债务治理可以通过降低借款人和借款企业的融资成本,间接性地影响银行信贷资金配置.进一步研究发现,国务院"43号文"实施后,资产质量高的银行倾向于增加企业贷款和实体行业贷款,资产质量低的银行倾向于增加个人贷款;银行规模可以强化地方债务治理对银行贷款增长的促进作用.因此,为促进银行信贷资金的"脱虚向实",应提高地方债务治理水平,强化对银行业务的监管与引导,加强风险管理,保障银行资产质量.     

国有风险资本与企业融资约束: 如愿以偿还是事与愿违?

我国国有风险资本是否实现了设立之初的目标,即是否纾解了企业融资困难呢?文章基于上市企业微观数据和手动采集的国有风险资本数据对此进行了系统研究.实证结果稳健地显示,国有风险资本可有效缓解企业后续融资约束,我国政府参与风险投资活动是有效的.进一步地,高持股比例、多联合投资、高政治层级的国有风险资本对受资助企业融资约束的缓解作用更强;且国有风险资本对经济欠发达、低制度质量环境下的企业、面临高环境不确定性和高竞争程度企业、民营企业、成长期与动荡期企业能产生更大的影响.机制检验表明,国有风险资本既能通过认证作用显著降低企业信息不对称程度,又能发挥政治关联的资源效应,包括显著促进银企关系和企业的商业信贷获取能力,并提升企业获得政府补贴的水平,从而减轻企业资金负担,缓解其融资约束.经济后果分析表明,国有风险资本能显著降低企业外部融资的股权资金成本和债务资金成本,帮助改善企业融资贵的难题,而且国有风险资本有助于企业在创新和经营方面的良性发展.但国有风险资本并未起到有效监督作用,不能缓解企业代理问题,尤其是会导致第一类代理成本的明显提高,而高管薪酬提升是其中的重要原因.据此,文章认为在未来的国有风险资本发展中,要把握"政府角色"介入的尺度,完善国有风险资本对企业的监督管理机制.同时适当兼顾各地区发展不平衡的情况,对中西部地区的国有风险资本发展提供适当且必要的帮助,以促进国有风险资本在新时期的长足发展.     

禽流感危机下肉鸡产业市场状态分析*——基于互联网大数据和MS-VAR模型

[目的]为了有效应对禽流感冲击、维持肉鸡产业稳定健康发展。[方法]基于互联网大数据构建了禽流感舆情指数,选取2012年1月至2017年3月周度数据,通过MS-VAR模型分析了禽流感危机下肉鸡市场状态的转换特征以及不同市场状态下产业链价格传导关系。[结果]2012年以来可将肉鸡产业市场状态划分为危机状态和正常状态,肉鸡产业市场在两个市场状态下转换频繁;肉鸡产业危机市场状态和正常市场状态平均持续期分别为4.65周和9.05周;肉鸡市场在区制转移概率上存在明显的非对称特征;肉雏鸡、活鸡和白条鸡价格之间在危机状态下相关性小于正常市场状态下相关性;不同市场状态下肉鸡产业链价格传导存在差异;肉鸡产业市场在危机状态下不稳定程度明显增加。[结论]提出了加大对禽流感疫情的监测以及疫情处理能力,密切关注公众禽流感舆情动态变动情况,做好舆情引导,加强禽流感疫情科学知识的宣传,增强公众对禽流感的认知等对策建议。     

Can investors time their exposure to private equity?

Private equity performance, both for buyouts and venture capital, has been highly cyclical: periods of high fundraising have been followed by periods of low performance. Despite this seemingly predictable variation, we find modest gains, at best, to pursuing realistic, investable strategies that time capital commitments to private equity. This occurs, in part, because investors can only time their commitments to funds; they cannot time when commitments are called or when investments are exited. There is a high degree of time-series correlation in net cash flows even across commitment strategies that allocate capital in a very different manner over time.     

Go beyond tokens: Number and type both matter

Drawing upon token theory and critical mass theory, this study examines whether all female directors are equally considered as tokens. We argue that inside female directors are less likely than outside female directors to be considered as tokens because they are more powerful and influential. Using a 10-year sample of Chinese publicly listed firms on the Shanghai or Shenzhen Stock Exchanges from 2008 to 2017, we find that even one inside female director can make a significant contribution to corporate social responsibility (CSR), while outside female directors do not have a positive effect on CSR until their number reaches the critical mass (i.e., three). The results suggest that the predictions of token theory and critical mass theory vary across female director types. These findings contribute to the current literature by integrating female director typology with their numerical representation to explain their token status.     

江淮汽车成功开拓哈萨克斯坦市场的经验与启示

产能合作是当前和未来促进中哈两国经济协同发展的核心方式,江淮汽车成功进入哈萨克斯坦,对于推进两国制造业产能合作具有重要意义.充分利用国家政策、对接哈萨克斯坦汽车工业发展战略和市场需求、选择恰当国际市场进入模式和营销策略、培植核心竞争力以及积极应对哈萨克斯坦市场的激烈竞争是江淮汽车成功进入哈萨克斯坦市场的关键因素.我国企业应有效对接哈萨克斯坦经济战略,积极参与中哈产能合作;精准目标市场定位,优化产品结构;选择合适的市场进入模式,积极开展本地化生产;不断提升企业的核心竞争力.     

Abuse of Market Dominance Under China’s Anti-Monopoly Law: The Case of Tetra Pak

Review of Industrial Organization - In this paper, we analyze a recent antitrust case of abuse of dominance that was decided by a Chinese administrative enforcement agency under China’s...     

智能制造有利于增加企业技术创新投入吗——基于智能制造试点的准自然实验

智能制造是我国制造业转型升级的主攻方向,而如何准确客观评价智能制造的实施效果成为亟待解决的问题.从技术创新投入视角,将智能制造试点政策实施视为一次准自然实验,采用2011-2019年制造业上市企业面板数据,通过PSM-DID方法研究智能制造对企业技术创新投入的影响.研究结果表明,智能制造显著影响企业技术创新投入,即通过提升客户集成度、供应商集成度进而提高企业技术创新投入,且促进作用仅发生在民营企业和非高新技术行业中.该发现扩展了现有研究外延,同时,为解决当前国际困局和促进智能制造的持续推广提供了重要实践价值.     

Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.