Barriers to the investment in the Concentrated Solar Power sector in Morocco: A foresight approach using the Cross Impact Analysis for a large number of events

The Scenario Analysis methods have often been used by policy makers as an instrument to manage uncertainty and to support the shaping of long-term economy policies. In this research, we apply Scenario Analysis in order to identify the barriers affecting the decision to invest in the Concentrated Solar Power (CSP) sector in Morocco. Our results aim at facilitating the process of defining different paths in strategic political and policy actions. Using data from a survey on a panel of experts, the Cross Impact Analysis (CIA) and the Cross Impact Matrix System (SMIC) techniques are applied. The advantage of these techniques is that they allow including in the analysis the interlinkages between the events that will define the future scenarios. However, their limitation is that the number of events analyzed cannot be too high since the information collected from the experts increases exponentially according to the number of events introduced. We thus expand our analysis with a new methodological approach, combining the use of prospective and statistics techniques. This approach allows addressing the mentioned limitation and applying these techniques, initially restricted to 6 events in its common application, to a large number of events. The results show that uncertainty and informality would be key factors in promoting the arrival of companies in this sector. Additionally, regarding companies that already have a presence in Morocco’s renewable energy sector, an increase in activity would be achieved through improvements in the easing of financial and legal barriers.     

青藏高原东缘山地古冰川沉积物化学参数指示意义

对于冰川沉积物化学特征的分析,可以有效地反映当地古环境的气候状况,本文通过对青藏高原东缘的古冰川山地的冰碛物进行采样,结合部分其他山地样品数据,进行地球化学元素实验,计算以及对比其化学参数。得到青藏高原东缘等十处古冰川山地冰川沉积物化学组分构成,利用CIA等参数分析其对当地环境的指示意义。     

小型开放经济环境下的最优货币政策设计

在经典的小型开放经济框架内,植入一个现金预留(CIA)模型,研究多重冲击下小型开放经济的最优货币政策设计问题,结果显示:汇率波动、货币流通速度冲击、财政冲击以及家庭消费冲击等通过成本渠道对物价和产出产生了直接影响。因此,在为小型开放经济体制定货币政策时,货币当局应充分考虑这些因素,使货币政策调控不仅对产出和通货膨胀的波动做出反应,而且对汇率波动和上述冲击也应做出适当的调整。此外,为营造有利的货币政策实施环境,外汇市场应实行有管理的浮动汇率制度。     

基于CIA法的无形资产价值评估研究——对房地产上市公司的实证分析

自进入知识经济以来,无形资产对于企业未来价值创造的作用日趋明显。目前学术界对于无形资产的涵义尚未有统一的认识。在文献回顾的基础上,综合目前对于企业无形资产、知识资产以及人力资产的研究成果,提出了无形资产是区别于有形资产且能为企业带来超额利益的总和;回顾了几种常见的企业无形资产评估的方法后,提出了属于间接测量法的CIA法,该方法建立在无形资产的价值最终将体现为企业运用有形资产获取超额收益的能力的基本思想之上,同时给出了应用CIA方法评估无形资产价值的详细步骤。接着以房地产上市公司为实证研究对象,运用CIA法测量出了样本房地产上市公司的无形资产价值。最后,指出了CIA法的局限性以及后续研究工作的方向。     

Multiple equilibria in a cash-in-advance two-sector economy

We consider a two-sector infinite horizon economy with a fractional cash-in-advance constraint on consumption expenditures. This formulation allows us to consider a steady-state velocity of money that is strictly greater than one and, therefore, provides a more plausible framework than the standard formulation in which all the consumption purchases are paid cash. We prove that the steady state is bound to be indeterminate and multiple equilibria occur when the share of the liquidity constraint is low enough and that a capital-intensive investment good or a strongly capital-intensive consumption good improve considerably the scope for indeterminacy. As a consequence, we show that without any restriction on the elasticity of intertemporal substitution in consumption, multiple equilibria might occur if the velocity of money is greater than a critical bound that is compatible with empirical estimates.     

金融信用发展与物质资本积累——基于CIA模型和对中国的实证分析

文章考察了金融信用发展水平对物质资本积累的影响。模型分析表明金融信用发展降低了企业外源融资成本,有利于物质资本积累。实证分析表明中国金融信用发展显著促进物质资本积累,但短期影响大于长期影响。最后提出了政策含义,指出金融抑制和过快的金融信用发展都不利于物质资本积累。     

货币化、货币流通速度与产出——扩展的CIA约束与中国经验

本文从两个方面扩展了传统CIA约束:(1)消费品和资本品受货币约束的比例取决于货币化和信用化的发达程度;(2)货币交易频率受通胀率影响。这样能够在贴近中国现实的动态一般均衡框架下分析实际冲击与名义冲击对货币流通速度和产出的影响。理论模型中,综合考虑到投资和产出的变化时,货币化和信用化对货币需求和流通速度的影响并不确定,通胀率的上升也不必然导致投资减少或者货币需求下降。这有别于局部均衡分析以及传统CIA模型的结论。改革以来中国的经验数据也表明,尽管通胀率下降会降低流通速度,然而货币化进程并未导致流通速度的显著下降。货币化以及相关的金融制度变化假说不应成为流通速度下降的有力解释。     

Scenario construction via Delphi and cross-impact analysis

Since its origins, decision makers have broadly used the Delphi method as a collaborative technique for generating important events and scenarios about what may happen in the future. This is a complex process because of the different interrelations and the potential synergetic effects among the relevant events related to a decision. This fact, along with the uncertainty about the occurrence or non-occurrence of the events, makes the scenario generation task a challenging issue in Delphi processes. In the 1960's, Cross-Impact Analysis (CIA) appeared as a methodological tool for dealing with this complexity. CIA can be used for creating a working model out from a set of significant events. CIA has been combined with other methodological approaches in order to increase its functionality and improve its final outcome. In this paper, the authors propose a new step-by-step model for scenario-analysis based on a merger of Turoff's alternative approach to CIA and the technique called Interpretive Structural Modeling (ISM). The authors' proposal adds tools for detecting critical events and for producing a graphical representation to the previous scenario-generation methods based on CIA. Moreover, it allows working with large sets of events without using large computational infrastructures. The authors present sufficient information and data so that anyone who wishes to may duplicate the implementation of the process. Additionally they make explicit a set of requirements for carrying out a Delphi process for a group to develop a set of significant events, collectively make the estimations of cross impacts, and to support a continuous planning process within an organization. They use two examples to discuss operational issues and practical implications of the model.     

The Effect of Inflation on Wage Inequality: A North–South Monetary Model of Endogenous Growth with International Trade

This study analyzes the effects of inflation on intra- and intercounty wage inequality, specialization, and growth, using a North–South endogenous growth model with international trade and money. The relationship between inflation and intracountry wage inequality depends on firms' credit constraints and on the inflation levels. Our results indicate that inflation decreases specialization in skilled production and increases intracountry wage inequality. Moreover, increasing inflation in the South increases the wage inequality gap between countries. Theoretical results are confirmed through calibration and match with existing empirical evidence.