实现2035年发展目标的潜在增长率*

党的十九届五中全会提出了到2035年人均GDP达到中等发达国家水平的远景目标，因此测算和回答能否和如何如期实现该目标，对于我国实现第二个百年奋斗目标和坚持“四个自信”具有重要的意义。为此，本文根据跨越和陷入“中等收入陷阱”经济体的发展经验，对2021—2035年我国潜在增长率变化进行了测算。一是参照跨越和陷入“中等收入陷阱”经济体在我国相同发展阶段时各主要生产要素的变化，模拟设定我国未来各主要生产要素的增长率；二是通过运用附加人力资本的增长核算模型测算基准、乐观和悲观三种不同情境下未来我国经济的潜在增长率，验证我国2035年发展目标实现的可能性；三是依据主要要素对潜在增长率的贡献度，提出我国如期实现2035年发展目标的相应政策建议。     

Do foreign exchange forecasters apply asymmetric loss functions? Evidence from three major exchange rates

This article investigates which type of loss function is consistent with the hypothesis that major exchange rate forecasts, i.e. the euro, the British pound, and the Japanese yen vis-à-vis the US dollar, are rational. We apply a comprehensive data set, which also allows us to examine different forecast horizons and heterogeneity of forecasters.     

How and why auditors’ social exchange relationships influence their attitudes and behaviors: Implications for audit quality

External auditors regularly interact with various parties at work, such as their accounting firms, engagement team members, and clients. These interactions can help shape the nature of auditors’ social exchange relationships with these entities, which in turn may influence their behavior toward these targets. This installment of Accounting Matters draws from recently published research by Herda and colleagues to (1) explain how constructive auditor-target connections can develop and lead to beneficial outcomes like reduced auditor burnout and turnover intentions, as well as more citizenship behavior, and (2) discuss how these upshots might ultimately affect audit quality. This topic is important because audit quality translates into improved financial reporting, which helps stakeholders who rely on audited financial statements to make informed business decisions. Specifically, we underscore the key role auditors’ perceptions of fair treatment from a relationship partner play in fostering a strong psychological bond with the target via perceived support. We further consider how auditors’ consequent commitment to the target can result in favorable organizational outcomes, including enhanced audit and financial reporting quality. We also discuss practical implications for accounting firms.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Direct intervention or indirect support? The effects of cooperative control measures on farmers’ implementation of quality and safety standards

In recent years, labor-intensive agricultural products from developing countries have exhibited inferior performance in international trade due to quality and safety incidents, among which pesticide residue is a major issue. Aiming to improve food quality and safety in the context of cooperatives, we introduced three categories of control measures: outcome control, process control and social control. Based on the Pre-Harvest Interval Standard (PHIS), we selected three indices, farmers’ implementation rate of PHIS, absolute distance to PHIS and relative distance to PHIS, to evaluate appropriateness of pesticides use, reduction of pesticide residue and safety improvements of agricultural products. By using random sampling survey data, we empirically analyzed the marginal effects of control measures and their combinations on food quality and safety standards. The empirical results show that implementing process control, namely, unified production standards or supply of unified agricultural inputs, can comprehensively improve farmers’ implementation rate of PHIS, absolute distance and relative distance to PHIS respectively by 34.9%, 3.2 days and 46.0% on average. While the effects of outcome control (safety inspection) and social control (bonus-penalty incentive or training) are restricted to other measures. Therefore, we suggest cooperatives should take farmers’ features, implementation conditions and the effects of control measures into consideration in order to make a sustainable management plan for improving food quality and safety and enhancing competitiveness in international markets.     

A note on the long rate in factor models of the term structure

In this paper, we consider factor models of the term structure based on a Brownian filtration. We show that the existence of a nondeterministic long rate in a factor model of the term structure implies, as a consequence of the Dybvig–Ingersoll–Ross theorem, that the model has an equivalent representation in which one of the state variables is nondecreasing. For two‐dimensional factor models, we prove moreover that if the long rate is nondeterministic, the yield curve flattens out, and the factor process is asymptotically nondeterministic, then the term structure is unbounded. Finally, we provide an explicit example of a three‐dimensional affine factor model with a nondeterministic yet finite long rate in which the volatility of the factor process does not vanish over time.     

Error analysis of finite difference and Markov chain approximations for option pricing

Mijatovi? and Pistorius proposed an efficient Markov chain approximation method for pricing European and barrier options in general one‐dimensional Markovian models. However, sharp convergence rates of this method for realistic financial payoffs, which are nonsmooth, are rarely available. In this paper, we solve this problem for general one‐dimensional diffusion models, which play a fundamental role in financial applications. For such models, the Markov chain approximation method is equivalent to the method of lines using the central difference. Our analysis is based on the spectral representation of the exact solution and the approximate solution. By establishing the convergence rate for the eigenvalues and the eigenfunctions, we obtain sharp convergence rates for the transition density and the price of options with nonsmooth payoffs. In particular, we show that for call‐/put‐type payoffs, convergence is second order, while for digital‐type payoffs, convergence is generally only first order. Furthermore, we provide theoretical justification for two well‐known smoothing techniques that can restore second‐order convergence for digital‐type payoffs and explain oscillations observed in the convergence for options with nonsmooth payoffs. As an extension, we also establish sharp convergence rates for European options for a rich class of Markovian jump models constructed from diffusions via subordination. The theoretical estimates are confirmed using numerical examples.     

Human resource management practices and voluntary turnover: a study of internal workforce and external labor market contingencies

We tested relationships between employee quit rates and two bundles of human resource (HR) practices that reflect the different interests of the two parties involved in the employment relationship. To understand the boundary conditions for these effects, we examined an external contingency proposed to influence the exchange-based effects of HR practices on subsequent quit rates – the local industry-specific unemployment rate – and an internal contingency proposed to shape employees’ conceptualization of their exchange relationship – their employment status (i.e. full-time, part-time and temporary employment). Analyses of lagged data from over 200 Canadian establishments show that inducement HR practices (e.g. extensive benefits) and performance expectation HR practices (e.g. performance-based bonuses) had different effects on quit rates, and the former effect was moderated by unemployment rate. The effects of HR practices on quit rates did not differ between FT and PT employees, but a different pattern of main and interactive effects was found among temporary workers. These findings suggest that employees’ exchange-based decisions to leave may be less affected by the number of hours they expect to work each week, and more by the number of weeks they expect to work.     

Dynamics of capital account and current account in Sri Lanka

This paper enquires the dynamics of current account and capital account in Sri Lanka for the period 2001:Q1 to 2016:Q1 and also examines the role of some policy variables such as exchange rate and interest rate in this dynamics. Estimated autoregressive distributed lag (ARDL) bound testing approach to cointegration followed by error correction representation of the ARDL model have found that current account is caused by capital account and exchange rate, where capital account causes to produce a deficit in current account. In the dynamic adjustment of current account due to exchange rate, an evidence of J-curve phenomenon is noticed. Capital account is neither caused by current account nor by exchange rate but interest rate has a positive impact on it. Robustness of these findings is testified by the vector autoregression model, Wald test of Granger causality followed by an impulse response analysis and a variance decomposition analysis. These analyses, in addition, establish a negative impact of interest rate on current account. With the best of knowledge this is the first study that reveals the dynamics of current and capital account of Sri Lanka. Such a dynamics is critical from the policy perspective. Policy makers should caution before capital account liberalization.     

乌鲁木齐市建设用地对经济增长的贡献及Logistic曲线极限点估计研究

[目的]为提高乌鲁木齐市各生产要素的利用效率,明确经济发展模式,同时也为促进土地资源节约集约利用提供科学依据。[方法]基于C-D生产函数,以2005—2015年乌鲁木齐市统计数据为样本,借助EViews6.0和SPSS20.0软件测算出建设用地对经济增长的贡献率以及Logistic曲线极限点。[结果](1)资本投入要素对经济增长的贡献率(56.72%)最大,建设用地投入要素贡献(32.81%)次之,然后是劳动力投入要素贡献(13.25%),技术进步投入要素贡献(-2.78%)最小,但拥有很大的挖掘空间;(2)建设用地对经济增长的Logistic曲线极限点位于第二、三产业产值为1 522亿元处,对应2011年产值,2005—2011年建设用地对经济增长的贡献呈递增趋势,2011年之后贡献速度呈递减趋势,逐渐趋于平缓。[结论]建设用地对经济增长的驱动作用是有限的,只有通过技术创新才能实现经济发展模式由"依资本型"向"技术驱动型"转变。