失败学习对企业绩效的影响机制研究

已有文献认为失败学习对企业绩效具有重要作用，但失败学习通过何种途径促进企业绩效提升的研究并不完善。基于失败学习理论，引入资源拼凑和机会识别作为中介变量，构建失败学习影响企业绩效的多路径模型，探索失败学习对企业绩效的驱动路径及内在机理。实证结果表明：失败学习对企业绩效具有显著积极作用，资源拼凑和机会识别分别在失败学习与企业绩效之间起中介作用，资源拼凑和机会识别在失败学习对企业绩效驱动过程中存在链式中介作用，战略柔性能够强化资源拼凑与企业绩效之间的关系，并正向调节资源拼凑的中介作用。研究结论拓展了失败学习对企业绩效的影响路径，对企业复苏和成长具有重要启示。     

Structural estimation of behavioral heterogeneity

We develop a behavioral asset pricing model in which agents trade in a market with information friction. Profit‐maximizing agents switch between trading strategies in response to dynamic market conditions. Owing to noisy private information about the fundamental value, the agents form different evaluations about heterogeneous strategies. We exploit a thin set—a small sub‐population—to point identify this nonlinear model, and estimate the structural parameters using extended method of moments. Based on the estimated parameters, the model produces return time series that emulate the moments of the real data. These results are robust across different sample periods and estimation methods.     

Stochastic Payments per Claim Incurred

We propose a Bayesian model to quantify the uncertainty associated with the payments per claim incurred (PPCI) algorithm. Based on the PPCI algorithm, two submodels are proposed for the number of reported claims run-off triangle and the PPCI run-off triangle, respectively. The model for the claims amount is then derived from the two submodels under the assumption of independence between the number of incurred claims and the PPCI. The joint likelihood of the number of reported claims and claims amount is derived. The posterior distribution of parameters is estimated via the Hamiltonian Monte Carlo (HMC) sampling approach. The Bayesian estimator, the process variance, the estimation variance, and the predictive distribution of unpaid claims are also studied. The proposed model and the HMC inference engine are applied to to an empirical claims dataset of the WorkSafe Victoria to estimate the unpaid claims of the doctor benefit. The Bayesian modeling procedure is further refined by including a preliminary generalized linear model analysis. The results are compared with those in a PwC report. An alternative model is compared with the proposed model based on various information criteria.     

组织遗忘、组织即兴与环境动态性视角下企业原始性创新构建路径

原始性创新是企业获得核心竞争力的关键，但当前对企业如何获得原始性创新的研究严重不足。为此，以我国环渤海经济带179家高技术企业为样本，从组织遗忘和即兴角度研究原始性创新形成问题，并进一步分析环境动态性在组织遗忘和原始性创新间的作用。结果发现：组织遗忘和组织即兴对原始性创新具有积极效应；组织即兴在组织遗忘和原始性创新间发挥着部分中介作用；环境动态性对组织遗忘和原始性创新的关系具有正向调节效应。     

企业上市、专利突击与经营绩效——基于创业板上市公司的经验证据

以2009-2018年中国创业板公司为样本,考察公司上市前的专利突击现象,检验专利突击行为对专利质量和经营业绩的影响.研究发现:第一,创业板上市公司IPO前存在明显的专利突击现象,具体表现为专利申请数量在上市前激增,在上市后增长停滞;第二,创业板公司专利突击行为降低了专利质量和上市后的长期经营业绩;第三,相较于发明专利,非发明专利的上市前突击现象更明显;第四,2014年证监会关于创业板上市公司在招股说明书中对专利信息披露的有关规定改变了公司专利申请策略,申请时间前移,上市前已申请但未授权的专利占比降低.最后,企业突击申请专利会使投资者高估公司价值,从而损害投资者利益.研究结论有利于理解我国"专利泡沫"现象的制度诱因,对完善创业板制度和实现注册制转型具有借鉴意义.     

北方县级海绵城市建设模式研究 ——以迁安海绵城市建设为例

我国北方缺水县级海绵城市建设的深入推进是实施海绵城市建设工作的重要内容,但目前我国北方缺水县级市的海绵城市建设工作还处于探索创新阶段.迁安依托海绵城市建设契机,在坚持政府主导、专家团队支持、社会资本运作、群众参与、发展区域产业优势等方面,首创了"一三一"模式,并取得了探索性经验,为其他北方缺水县级城市的海绵建设提供了有益启示和经验借鉴.     

棉花期货套期保值策略及其效率比较研究

选取中国全部六个交割月份棉花期货合约价格和中国棉花3128B价格指数作为研究对象,构建OLS,B-VAR,ECM和ECM-BGARCH四种模型来估算最优套期保值比率,并应用Ederington法评估套期保值的效率,分析中国棉花期货最佳的套保模型.结果表明,1月、5月、11月份合约的套期保值都能在一定程度上规避价格风险,其中OLS和B-VAR模型的效果最好,最后提出完善期货市场的建议.     

电子信息工程技术应用问题与改善策略研究

电子信息工程技术具有鲜明的现代化特点,其凭借自身极强的实用性已经被广泛应用于诸多领域之中,且正在发挥着至关重要的作用.但是在具体实施过程中,因为受到其他多方因素影响,使得电子信息工程技术还存在些许应用问题亟待解决,也正是因为这些限制的存在,使得电子信息工程技术的优势不能完全发挥出来.因此文章以下就电子信息工程技术的相关概念入手,结合其已经延展至的工作领域和在实际应用中遇到的问题,给予有效地解决之策,以期将其优势最大化释放,为社会发展略尽绵薄之力.     

Personal Income Tax Reform in China in 2018 and Its Impact on Income Distribution

In the context of personal income tax (PIT) reform in China in 2018, this paper examines some of the major issues of concern regarding the reform and income distribution. Using the China Personal Income Tax Micro‐simulation model, the paper compares the differences between the 2011 and 2018 PIT systems, and finds that residents relying on different income sources may face a large degree of real tax rate change. Once the tax system is altered to PIT 2018, the coverage of PIT for wage earners will decrease from 46.9 to 23.4 percent, the income redistributive effect will drop from 1.95 to 1.22 percent and the PIT's role in fiscal revenue will also be negatively affected. Nevertheless, if individual income continues to grow, the share of PIT in fiscal revenue is expected to return to the 2018 level in 2022, but its income redistribution function is difficult to recover in the short term. The paper finds that the effect of PIT on income distribution depends on the tax structure. Gradual transition to an “entirely comprehensive” tax system when conditions are appropriate will achieve better income redistribution results at a lower average tax rate.     

Board directors with foreign experience and stock price crash risk: Evidence from China

This study examines the impact of board directors with foreign experience (BDFEs) on stock price crash risk. We find that BDFEs help reduce crash risk. This association is robust to a series of robustness checks, including a firm fixed effects model, controlling for possibly omitted variables, and instrumental variable estimations. Moreover, we find that the negative association between BDFEs and crash risk is more pronounced for firms with more agency problems, weaker corporate governance, and less overall transparency. Our findings suggest that the characteristics of board directors matter in determining stock price crash risk.