贫困治理参与、市场竞争与企业创新——基于上市公司参与精准扶贫视角

市场竞争在企业参与外部社会治理的过程中能够发挥创新激励作用吗?从这个问题出发,文章以中国上市公司参与精准扶贫为研究背景,从宏观治理与微观治理两个层面,政府与市场两个视角,投入与产出两个维度出发,考察参与扶贫对企业创新的影响,使用2016-2019年沪深A股上市公司样本先从投入维度实证验证了企业参与治理会在一定程度产生"创新投入挤占效应",即上市公司参与扶贫治理与其创新投入强度显著负相关.然而,更高市场竞争程度能显著降低"挤占效应",有效发挥创新作为根本动力的激励作用;更进一步的研究表明,区分信贷资源和政商关系的异质性,这种"挤占效应"在信贷资源可得性较差、政商关系水平更低的参与企业中更加显著.机制研究表明,这种"挤占效应"通过政策性负担的增加、管理层业绩压力的降低而显著提升.最后,经济后果分析发现,企业参与贫困治理虽然挤占了其创新投入,却提升了创新产出,企业创新产出的数量与质量都得到了改善,参与治理为企业创新效率的提升带来了益处.本文的研究有利于加深对企业主体创新行为的理解,为理顺政府与市场关系、激发企业创新活力提供了新思考,具有一定的学术意义与实践价值.     

Asymmetric Loss and the Rationality of Inflation Forecasts: Evidence from South Korea

We examine asymmetry in the loss functions of South Korean consumers' and the Bank of Korea's (BOK) inflation forecasts, and test the rationality of these forecasts under the assumption of a possible asymmetric loss function. Under an asymmetric loss function, we find evidence of asymmetry and support for rationality. We also examine whether the BOK's forecasts incorporate respective forecasts and consensus forecasts efficiently. They broadly use available information efficiently, and their results are robust to inflation‐targeting measures and the recent global financial crisis. However, our results suggest that the information efficiency of the BOK's forecasts for consumers was affected during the period 2007–2008.     

Testing Part of a DSGE Model by Indirect Inference

We propose a way of testing a subset of equations of a DSGE model. The test draws on statistical inference for limited information models and the use of indirect inference to test DSGE models. Using the numerical small sample distribution of our test for two subsets of equations of the Smets–Wouters model we show that the test has accurate size and good power in small samples, and better power than using asymptotic distribution theory. In a test of the Smets–Wouters model on US Great Moderation data, we reject the specification of the wage‐price but not the expenditure sector. This points to the wage‐price sector as the source of overall model rejection.     

Price dynamics in corn cash and futures markets: cointegration,causality, and forecasting through a rolling window approach

Financial Markets and Portfolio Management - This paper examines the causal structure among the daily corn futures and seven cash price series from Midwestern states from January 3, 2006, to March...     

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.     

互联网金融规制与市场有效性改善*——来自中国网络借贷行业的证据

中国的互联网金融经历了一个先创新发展后监管规制的过程，本文通过对网络借贷行业的实证研究，分析监管规则的出台实施对新型互联网融资市场有效性的影响。实证结果表明，网络借贷平台资金的银行存管、持有ICP证等强制性规定缓解了投资者、平台企业与借款人之间的信息不对称，对克服早期平台间通过竞相承诺高回报率来吸引投资者导致的“柠檬市场”问题、对解决网贷市场上缺乏平台风险性高低有效信号的问题都起到了正向作用，有助于互联网融资市场的有效性提高。     

Aid for trade and the quality of exports

This article studies how aid for trade (AfT) affects the quality of recipient countries’ exports. It shows that the quality effect is most discernible for AfT for assistance in trade policy: a 50% increase in the value of AfT received in this category is associated with a 0.5–1% increase in the quality of exports to the donor and other OECD countries. On average, the actual AfT received for assistance in trade policy leads to a 2% upgrade of the recipient country in the quality ladder of all developing countries. Around half of this quality effect is driven by the quality improvement of continued products in continued markets (intensive margin), and the other half by the quality upgrading of new products in continued markets and existing products in new markets (extensive margin).     

The influencing factors of satisfaction and lending intention in online lending investment: an empirical study based on the Chinese market

This paper develops a platform‐based influencing factors model which considers value perception, risk prevention measure, non‐default experience, trust and incentive gap, to better examine the impact of platforms on investors’ satisfaction and lending intention based on the Chinese market. The results reveal that the first four factors positively influence the satisfaction of the investors, while the incentive gap has a negative impact, and there is a positive association between investors’ satisfaction and lending intention. Some specific features of China’s online lending market are identified, which provides valuable insights for online lending platforms and the government.     

社会地位来源对欺骗行为的影响——来自实验室实验的证据

如何减少欺骗是当前中国社会普遍面临的问题。文章结合社会地位理论和自我概念理论，研究了减少欺骗行为的机制。我们利用实验室实验，区分先赋性和自致性两种地位获取方式，用欺骗博弈来检验不同社会地位来源对欺骗决策的影响。结果发现，个人通过真实劳动获得的自致性社会地位可以显著减少欺骗行为；由于幸运得到的先赋性社会地位不能减少欺骗行为。同时，非物质收益的社会地位比赋予物质收益的社会地位更有效减少欺骗行为，说明物质收益是对市场化自我概念的提醒，从而无助于降低欺骗。研究结果在剔除策略性行为后依然稳健。研究有效验证了Mazar et al.（2008）关于影响欺骗行为的自我概念内在决定机制，并对各类组织提升诚信管理具有重要借鉴意义。     

Operational risk quantified with spectral risk measures: a refined closed-form approximation

The quantification of operational risk has become an important issue as a result of the new capital charges required by the Basel Capital Accord (Basel II) to cover the potential losses of this type of risk. In this paper, we investigate second-order approximation of operational risk quantified with spectral risk measures (OpSRMs) within the theory of second-order regular variation (2RV) and second-order subexponentiality. The result shows that asymptotically two cases (the fast convergence case and the slow convergence) arise depending on the range of the second-order parameter. We also show that the second-order approximation under 2RV is asymptotically equivalent to the slow convergence case. A number of Monte Carlo simulations for a range of empirically relevant frequency and severity distributions are employed to illustrate the performance of our second-order results. The simulation results indicate that our second-order approximations tend to reduce the estimation errors to a great degree, especially for the fast convergence case, and are able to capture the sub-extremal behavior of OpSRMs better than the first-order approximation. Our asymptotic results have implications for the regulation of financial institutions, and may provide further insights into the measurement and management of operational risk.