Optimal fiscal policy with robust control

This paper analyzes how consumer uncertainty affects optimal fiscal policy in the Lucas and Stokey (1983) framework. The consumers, lacking confidence in their knowledge of the stochastic environment, endogenously tilt their subjective probability model away from an approximating probability model. The government, though, is confident that the approximating probability model characterizes the stochastic environment. This confidence dichotomy reveals a range of possible objective functions for an altruistic government. I assume that the government maximizes the consumers' expected utility under the consumers' own subjective probability model. It is found that this government relies less heavily on labor taxes to absorb the fiscal shock than would be optimal if consumers were fully confident in their probability model. This policy helps mitigate the direct welfare cost associated with consumer uncertainty. I compare this policy to the one implemented by a government that maximizes the consumers' expected utility under the approximating probability model.     

Dynamic control of rural–urban migration

This study investigates the optimal urbanization control of an underdeveloped economy by specifying a simple dynamic rural–urban model in which the urban sector bears both an intertemporal positive externality and a simultaneous negative externality. The dynamic optimization problem is solved for the political intervention of the central government in an intersectoral population distribution with taxes and subsidies. Our analysis provides the following results: (i) a big-push policy that leads an economy to a higher-income steady state with urbanization is not necessarily desirable if the government cannot borrow money at a sufficiently low interest rate; (ii) in order to sustain an appropriate urbanization speed, urbanization control policy should have a switch: the urban sector should be subsidized in order to accelerate rural–urban migration in early stages of development, and taxed to decelerate and eventually cease the migration in later stages.     

Optimal pollution control with distributed delays

We present a model of optimal stock pollution control with general distributed delays in the stock accumulation dynamics. Using generic functional forms and a distribution structure covering a wide range of distributions, we solve analytically the complex dynamic system that arises from the introduction of these distributed delays. From a theoretical standpoint, our contribution extends the dynamic optimization literature that focused on single discrete delays and develops an original method to address control problems written as mixed type functional differential equations with general kernels. Our results show the qualitative impact of acknowledging these distributed delays on the optimal pollution paths dynamics. We study analytically the properties of the dynamics and we identify the conditions for the occurrence of limit cycles. This theoretical work contributes to the design of efficient environmental policies in the presence of complex delays.     

Optimal control of pricing strategy for diffusion model

This study presents a conceptual framework based on the new product diffusion and demand theory models. The proposed framework was creating a probability of demand function. Considering effectiveness of demand function transmitted by adopters, the optimal control policies of pricing are conducted according to the optimal control theorv.     

Economic dynamics of reservoir sedimentation management: Optimal control with singularly perturbed equations of motion

We analyze the economic dynamics of reservoir sedimentation management using the hydrosuction-dredging sediment-removal system. System dynamics depend on two interdependent hydraulic processes evolving at different rates. The accumulation of water impounded in the reservoir evolves on a ‘fast’ time scale, while the loss of water storage capacity to trapped sediments evolves on a ‘slow’ time scale. We formulate a multidimensional optimal control problem with singularly perturbed equations of motion to accommodate the disparate time scales. We apply singular perturbation methods to approximate (via polynomial series expansion) a ‘slow’ manifold reducing multi-dimensional solution space to the single-dimensional subspace confining long-term dynamics.     

The business cycle in the G-7 economies

In this paper the Hodrick–Prescott filter is used to decompose real GDP for the G7 countries into cyclical and trend components. The resulting series of cyclical components are then examined for static relationships, using correlations and graphs; long-run relationships using autoregressive-distributed lag models; and short-run relationships, using error–correction models. The main result is that the patterns of cyclical behaviour changed following the oil price shocks in the 1970s. Since 1980, cyclical fluctuations have been smaller as a result of a decline in synchronisation of the cycles in the G7. Two separate cycles seem to be developing since 1990. One is for Germany, Italy and France, whilst the other is for the US, UK and Canada. Within each of these groups there are both long-run and short-run relationships between the cyclical components of GDP.     

Optimal money supply in models with endogenous discount factor

This paper studies the Friedman rule for the optimal quantity of money in money in the utility (MIU) and cash–credit models while considering two specifications for the endogenous discount factor. In the first specification, the discount factor depends directly on the utility level. In the second, the discount factor depends on every component of the utility function. We show that under the former specification the Friedman rule is the optimal policy. Under the latter, however, while the Friedman rule is optimal for the MIU model, it is not optimal for the cash–credit model.     

On the interpretation of cointegration in the linear–quadratic inventory model

The traditional formulation of the linear–quadratic inventory model with unit roots predicts cointegration between inventories and sales. That formulation implies that marginal production costs and the marginal benefits of inventories are both tending to ∞, and the cointegrating coefficient reflects the optimal trade-off between these competing factors. This paper suggests a reformulation of the problem in which marginal production costs and marginal inventory benefits are both stationary and in which the cointegrating coefficient is the same as the value that characterizes the target inventory level in the cost function.     

内部控制体系在AB企业运营中的实际应用

本文以内部控制体系概念为基本出发点来讲内部控制在合资企业中的实践及运用：首先以临全球化竞争的中国企业需要提高企业的经营管理水平，而内部控制体系建设是企业经营管理水平提高重中之重引出内部控制体系建设的必要性；其次阐述了内部控制的定义、框架、作用和其自身的局限性最後以AB企业合资工厂的实践浅论内部控制体系在企业运营中的实际运用。     

试论可编程程序控制器(PLC)在电器控制中的应用

可编程程序控制器(PLC)如今已广泛运用于电器控制中。可编程程序控制器除了可以按事先编好的程序进行不同的逻辑控制,还具有自动诊断、随意编程、体积小、通用性好、可靠性高等特点。所以,可编程程序控制器正在逐步取代继电器-接触器控制系统。     

烧结配料工序中的精矿总量控制

文章以某钢铁公司的烧结厂为例,针对烧结配料工序中存在的问题,提出了精矿总量控制的理念和具体的解决方案,并对实际运行情况进行了分析和说明。     

循环经济下的会计控制

循环经济的出现,给企业生产带来了一场革命,也对会计工作提出了新的挑战。本文阐述了循环经济与会计控制的关系,提出了循环经济对会计控制的新要求,阐述了循环经济模式下会计控制内容的扩展以及为适应循环经济的挑战,会计控制应采取的对策。     

A characterization of equilibria in the Groves–Ledyard mechanism

In this paper, we characterize all interior and boundary equilibria of the Groves–Ledyard mechanism for a large class of economies and determine their stability properties. We show that the mechanism admits three types of equilibria: a symmetric, efficient, stable interior equilibrium, a large set of asymmetric, efficient, unstable, interior equilibria, and a large set of asymmetric, inefficient, stable boundary equilibria. We further show that asymmetric equilibria fail to exist for large values of the punishment parameter or if the message space is bounded sufficiently. The boundary equilibria previously had not been located nor had the instability of the asymmetric equilibria been known. Interestingly, the stability of the symmetric equilibrium rests on two dynamics that individually produce instability.     

S&P Global Sector survivals: Momentum effects in sector indices underlying iShares

This study investigates survival of the momentum effects in S&P Global 1200 Sector index returns which are underlying indices for iShares, by employing a methodology which allows analyzing the momentum effect without being dependant on zero-investment portfolios. We design a trading strategy based on momentum survival time for 10 S&P Global 1200 Sectors and show that for most of the sectors, long, short and long/short momentum strategies are profitable at the realistic level of transaction costs, generating substantially higher Sharpe ratios than buy and hold sector index strategy.     

Estimation in Shewhart control charts: effects and corrections

The influence of the estimation of parameters in Shewhart control charts is investigated. It is shown by simulation and asymptotics that (very) large sample sizes are needed to accurately determine control charts if estimators are plugged in. Correction terms are developed to get accurate control limits for common sample sizes in the in-control situation. Simulation and theory show that the new corrections work very well. The performance of the corrected control charts in the out-of-control situation is studied as well. It turns out that the correction terms do not disturb the behavior of the control charts in the out-of-control situation. On the contrary, for moderate sample sizes the corrected control charts remain powerful and therefore, the recommendation to take at least 300 observations can be reduced to 40 observations when corrected control charts are applied.Acknowledgements. The authors would like to thank Sri Nurdiati for doing the Monte Carlo studies.     

A multi-level model for studying the context and impact of work–family policies and culture in organizations

The purpose of this paper was to provide an integrative multi-level framework that could help scholars study the impact of work–family policies on individual employees as well as assist practitioners in making informed decisions regarding the adoption, design, implementation, and allowance of these policies. This multi-level model illustrates the various macro- and mesolevel factors that may influence individual perceptions (i.e., equity perceptions, negotiation power, sense of entitlement) regarding work–family policies. By providing such a model, a common language may be developed for researchers from various disciplines studying this issue and better insight into the various linkages that are involved. Additionally, the framework can provide HR practitioners with a deeper understanding of the contextual factors that may influence the effectiveness of work–family policies in their organizations.     

内部市场化在质量控制中的应用

企业内部质量控制困难,传统的质量检测往往也起不到应有的作用。采用内部市场化管理可以有效地解决这个问题。内部市场化管理是把市场概念引入企业内部,将每一道工序视为上一道工序的客户。文章深入阐述了内部市场化的概念及内涵,具体操作及应注意的几个问题。     

Beyond win–win: A syncretic theory on corporate stakeholder engagement in sustainable development

This article explores the concept of syncretism to articulate the construct of a novel theoretical approach that may help to accelerate progress in developing substantively more sustainable business activities. One reason why the integration of environmental and social responsibility in business has been so difficult to achieve in practice is that it is not just a battle of competing business logics but a battle of faiths. The concept of syncretism, with its roots in religious synthesis, may be far more relevant and useful than conventional approaches to combining the two, which rarely seem to rise above a “win–win” appeal to logic. The connectionist logic of syncretism may show us a way beyond paradigmatic conformity in business sustainability research so that scholars with diverse theoretical backgrounds might have a common ground for discussion, find constructive connections, and engage in potentially more insightful and creative interactions to develop our understanding of corporate sustainability.     

Evaluation of American option prices in a path integral framework using Fourier–Hermite series expansions

In this paper we review the path integral technique which has wide applications in statistical physics and relate it to the backward recursion technique which is widely used for the evaluation of derivative securities. We formulate the pricing of equity options, both European and American, using the path integral framework. Discretising in the time variable and using expansions in Fourier–Hermite series for the continuous representation of the underlying asset price, we show how these options can be evaluated in the path integral framework. For American options, the solution technique facilitates the accurate determination of the early exercise boundary as part of the solution. Additionally, the continuous representation of the state variable allows the relatively accurate and efficient evaluation of the option prices and the delta hedge ratio.