商业模式结构适应性:组件耦合协调分析

商业模式是由多组件构成的价值创造结构,组件特性、组件之间的关系影响了商业模式结构适应性。从组件耦合协调视角,应用NK模型,研究了组件特性、组件之间关系数量和分布对商业模式结构适应性的影响。结果表明,随着组件之间耦合关系数量的增加,商业模式结构适应性降低、结构耦合度上升,企业绩效的改善需要在商业模式结构的外部适应性、内部耦合性之间作出权衡,但在不同耦合关系数量下,存在相似的商业模式优化结构,为企业搜寻商业模式结构适应性最大值提供了可循路径。     

Changes over time in the pattern of comparative advantage in manufactured goods: An empirical analysis for the period 1962–1974

This article presents a simple methodology for analysing empirically the extent, pace, and timing of changes over time in the pattern of comparative advantage in manufactured goods. This methodology is based upon the OLS estimation of time series of values of some elasticity- parameters measuring the impact of various country-attributes, and in particular of technology- endowments, upon the pattern of comparative advantage in each product. The methodology proposed here is then applied to the empirical analysis of shifts in the pattern of comparative advantage in 25 groups of products over the period 1962–1974.     

A patent-based cross impact analysis for quantitative estimation of technological impact: The case of information and communication technology

The increasing syntheses and interactions between various technologies increase the usefulness of cross impact analysis (CIA) as a method for forecasting and analyzing them. Conventional CIA depends on an expert's qualitative judgment or intuition and thus it is difficult to evaluate quantitatively the impact of one technology on another. In this study, we employ patent analysis in CIA to examine such impacts between technologies based on multiple patent classifications. Patent information is used for facilitating quantitative and systematic approach in CIA. The distinctive feature and main contribution of the proposed approach is the overcoming of the limitations of conventional CIA, by employing conditional probabilities based on the patent information. The classification of patents, particularly the multiple classifications, is used to evaluate the relationships between technologies. As an illustration, a patent-based CIA with information and communication technologies (ICTs) was conducted. Firstly, the patent-based cross impact among ICTs was calculated. Secondly, the technology pairs were classified based on the cross impact score between ICTs. Thirdly, a cross impact network was constructed to identify the complex relation among ICTs. Finally, the changes in cross impact scores between technologies over time were analyzed. The results of this research are expected to help practitioners to forecast future trends and to develop better R&D strategies.     

The nonlinear effects of expected and unexpected components of monetary policy on the dynamics of REIT returns

This paper examines empirically whether the expected and unexpected components of monetary policy have nonlinear impacts on the dynamics of REIT returns. Empirical results find the nonlinear response of REIT returns to expected and unexpected components of monetary policy. The unexpected component of monetary policy plays a more prominent role in influencing REIT returns than does the expected component of monetary policy. Specifically, unexpected contractionary monetary policy has a significantly adverse impact on REIT returns, and the adverse effect in a bust market is stronger than in a boom market. In addition, the unexpected monetary policy will also affect the boom-bust dynamics of REIT returns through its effect on the time-varying transition probability matrix. The tightening of the expected and unexpected components of monetary policy will enhance the probability that the REIT market will stay in the bust regime.     

Technological catching-up and structural convergence among US industries

Using a non-parametric programming framework, we analyze technological catching-up and structural convergence among 63 North American industries over the period 1987–2016. These two convergence processes can be estimated by efficiency gaps decomposed into two components: a technical efficiency effect taking into account industry size heterogeneity and a structural component which highlights the impacts of an input-output deepening or expanding effect over time. Secondly, a panel data analysis is performed to link input and output price evolutions with changes in technological catching-up and structural convergence. Results clearly show that convergence is observed for both technical and structural components. The impact of these convergence processes on the US economy is estimated at around 0.56 percentage points of additional growth and could be related to the liberalization of international trade and the increase of import competition. Moreover, these two convergence processes have positive influence on final demand prices and profitability but negative impact on suppliers' prices while no effect can be established on employees' wages or capital providers' remunerations.     

Climate change,health care access and regional influence on components of U.S. agricultural productivity

This article examines factors driving three components of total factor productivity change (TFPC) in U.S. agriculture – technical change (TC), technical efficiency change (TEC), and scale and mix efficiency change (SMEC). We also examine TFPC and contrast implications derived from the component models with those from a directly estimated TFPC model. Our results show that TC and SMEC are both significantly impacted by innovation through public research and improved human capital through education and health care access. TEC and SMEC are significantly affected by farm size, and the latter is significantly affected by public policy. The ratio of family-to-total labour, terms of trade and precipitation have significant impacts on all three components, but extension has no significant impact on any component. Climate change variables are the most impactful factors on each component as well as on TFPC. While the impact of climate change is heterogeneous across regions and components, its estimated historical impact is most often positive. Nearly all TFPC elasticities estimated directly are qualitatively the same as those calculated from the component models and quantitatively similar.     

The U.S. health care expenditure: evidence from 2001 to 2009

This study utilizes state-level data from 2001 to 2009 to estimate the impact of the 2007 financial crisis upon health care expenditures. Higher death rates are consistently found to have a positive and statistically significant impact on health expenditures. While mental health and COPD are not generally found to impact expenditures, increases in the percentage of the population diagnosed with cholesterol and obesity tend to increase health expenditures. Increases in health expenditures slowed considerably after the financial crisis. Even though recessions (high unemployment rates) are generally found to have a positive impact on health expenditures, the post-financial crisis time period is estimated to have much lower health expenditures than in other time periods. Our results can be used to give insight into the conditions under which the slower rate of increase in health expenditures can be expected to increase. More research will be needed to be able to more completely explore not only the reasons for these changes in health expenditures but also whether they are likely to continue into the future.     

Wellbeing trajectories around life events in Australia

Wellbeing trajectories around key life events are calculated using HILDA data for Australia. Employing a panel quantile approach, a pan-distributional analysis of these major events identifies distinctive adjustment patterns across the subjective wellbeing distribution and differing orders of magnitudes. For all life aspects analysed, immediate impacts tend to be more acute at the lower end of the wellbeing distribution. The implication of this is that if we are concerned with measuring changes in wellbeing, the point at which we measure these changes is important. Given the increasing importance of wellbeing to broader measures of economic prosperity, these findings touch upon a number of important policy areas. A focus upon social ostracization and a reduction in the persistence of long-term unemployment are all suggested as ways of alleviating the detrimental impact of this important policy variable.     

Time to learn? The organizational structure of schools and student achievement

Utilizing parametric and nonparametric techniques, we asses the impact of a heretofore relatively unexplored ‘input’ in the educational process, time allocation, on the distribution of academic achievement. Our results indicate that school year length and the number and average duration of classes affect student achievement. However, the effects are not homogeneous – in terms of both direction and magnitude – across the distribution. We find that test scores in the upper tail of the distribution benefit from a shorter school year, while a longer school year increases test scores in the lower tail. Furthermore, test scores in the lower quantiles increase when students have at least eight classes lasting 46–50 min on average, while test scores in the upper quantiles increase when students have seven classes lasting 45 min or less or 51 min or more.     

Unconditional quantile regressions,wage growth and inequality in the Philippines, 2001–2006: the contribution of covariates

I implement a two-stage procedure to estimate the components of real wage change in the Philippines along the wage distribution from 2001 to 2006, as well as the contribution of individual covariates to each component. The methodology is based on Re-centred Influence Functions (RIF), as suggested by Firpo et al. (2009). The advantage of this methodology is that it not only decomposes the unconditional wage change at any quantile of the wage distribution, but also allows the characterization of the contribution of any single covariate on each component. I find that real earnings of males in the Philippines declined and the decline along the earnings distribution is generally higher at higher deciles for all males and higher at lower deciles in Manila. Decomposition results are driven by the wage structure component, while the composition effect is small and generally positive with education as the main contributor. Within the wage structure effect, the main determinants are associated with changes in the rewards of experience and occupation, along with residual change (change in intercepts).     

中国电力发展:提高电价和限电的经济影响

中国在过去20年中,经济增长和生产过程的现代化使之对电力愈加倚重。2002年以来,电力成为一个重要的经济和政治问题,电力短缺的直接后果是电价提高和限电。本文从提高电价和限电两方面讨论了研究电力短缺的影响的方法,分析了提高电价对不同工业行业和不同地区造成的影响,并使用调查数据就限电对工业的影响进行了量化分析。主要结论是,电力短缺对工业的直接影响远大于电力供给成本。在工业化水平较高、较为发达的省份,电力短缺的影响并不一定更大,因为决定影响程度的因素包括工业构成、对电力的依赖性和可用的替代品。     

Impact of interest rates on Islamic and conventional banks: the case of Turkey

Identifying the impact of the interest rates upon Islamic banks is a key to understand the contribution of such institutions to the financial stability, designing monetary policies and devising a proper risk management applicable to these institutions. This article analyses and investigates the impact of interest rate shock upon the deposits and loans held by the conventional and Islamic banks with particular reference to the period between December 2005 and July 2009 based on Vector Error Correction (VEC) methodology. It is theoretically expected that the Islamic banks, relying on interest-free banking, shall not be affected by the interest rates; however, in concurrence with the previous studies, the article finds that the Islamic banks in Turkey are visibly influenced by interest rates.     

HOW TO VALUE THE POORER PROSPECTS OF YOUTH IN THE EARLY 1990s?

Young workers in the 1990s can expect greater economic insecurity, as well as lower average earnings, compared to older workers, or compared to the youth of previous decades. The cost of greater insecurity depends upon an individual's probability of unemployment, marginal utility of income gains/losses and the extent to which individuals can smooth consumption over time by borrowing and drawing down assets. Since unemployment insurance cutbacks and higher unemployment have increased the risk exposure of youth, changes in the expected value of their income may understate utility losses as measured by the change in certainty equivalent income.
This paper uses a behavioural microsimulation model to compare the impacts of 1971 and 1994 unemployment insurance legislation and unemployment rates in Canada. It calculates both the expected value of income changes and, using a Stone-Geary utility function, the change in inequality of well-being (as measured by certainty equivalent income) for youth and for prime age workers. Both calculations reveal that youth were disproportionately affected by Canada's changing labour market environment. Very few youth have enough assets to finance consumption during spells of unemployment.     

Does the Porter Hypothesis Explain Expected Future Financial Performance? The Effect of Clean Water Regulation on Chemical Manufacturing Firms

Previous research provides opposing theoretical arguments regarding the effect of environmental regulation on financial performance. As one important argument, the Porter hypothesis claims that tighter regulation improves financial performance. This study provides empirical evidence on this debated effect. In particular, we employ panel data analysis to examine the effect of Clean Water Act regulation, as measured by permitted wastewater discharge limits, on expected future financial performance, as measured by Tobin’s q, for publicly owned firms in the chemical manufacturing industries. We find that tighter permitted discharge limits lower Tobin’s q; i.e., more stringent Clean Water Act regulation undermines expected future financial performance. By decomposing Tobin’s q into its constituent components—market value and replacement costs—and estimating each component separately, we find that tighter permitted discharge limits lower both components with a larger impact on market value, which implies that investors revise their expectations of the discounted present value of future profits in response to changes in Clean Water Act regulation.     

Analyzing exchange rate uncertainty and bilateral export growth in China: A multivariate GARCH-based approach

Dramatic changes to exchange rate policy for the world's largest exporter have arguably ushered in the optimal environment for studying the effects of exchange rate uncertainty on trade. This study builds on the recent literature by using an extremely general model that measures volatility using the flexible multivariate DCC-GARCH model to analyze the impact exchange rate uncertainty has on bilateral export growth for China's ten largest export markets. All model parameters are estimated simultaneously and lagged values of uncertainty are included for a full year, where significant effects are found. The more general methods potentially overcome issues associated with inefficient two-step methods and the assumption that volatility impacts are close to instantaneous. Using a comprehensive sample that spans 1994–2017, the paper presents evidence that exchange rate uncertainty has no impact on trade with the United States, which strongly contrasts a robust finding of trade deterring impacts for almost all remaining countries. The unifying methodology is also used to analyze nominal uncertainty itself. Here, it is found that Chinese inflation may be a positive contributor to risk in an environment where many exogenous events, such as the Asian currency crisis, are associated with periods of heightened yuan uncertainty.     

The impact of regulatory change on EU energy utility returns: the three liberalization packages

The European Union’s (EU) energy sector is changing due to major policy reforms. In this article, we examine the impact of major legislative changes which were designed to induce competition in the energy sector: the three liberalization packages. Competition was expected to benefit the industry by phasing out inefficient firms. EU citizens were also expected to benefit as competition was likely to promote a more efficient energy sector and more consumer choice of energy products and services. However, this legislative change occurred during a period of extreme market turmoil. We examine the impact of all these changes on the risk profile of the sector. Our results show that the liberalization legislation significantly increased systematic risk exposure of the sector, reducing its role as a defensive investment asset. We also show that commodities had relatively little impact on sector returns, but this was expected as utilities can offset commodity risk in hedging markets. We compare our results to those obtained in neighbouring EU sectors and find the impacts are isolated to the energy sector. This article makes a major contribution to energy policy by empirically showing the change in risk as a result of sector liberalization.     

Disentangling supply and demand shifts: the impacts on world salmon price

To understand price changes, one must determine the relative impact of supply and demand shifts on price. Conditional on predetermined supply and demand elasticities, we retrieve yearly shifts in regional supply and demand. The relative impact on price from each supply and demand shift is determined through an equilibrium displacement model (EDM). This procedure is applied on a yearly basis for the world salmon market in the period 2002 to 2011. The results indicate a large variation in demand and supply growth both over time and between regions. While average annual price impacts from supply or demand shifts from most regions are not statistically significant, price impacts from supply or demand shifts for specific periods are detected in all but one region. This indicates that the use of smooth trend indicators is likely to be inappropriate for measuring supply and demand shifts and their impacts on price. The procedure presented in this article can be a useful instrument for determining the relative impacts of supply and demand shifts on price in any market with unstable price behaviour.     

Quo Vadis MRIO? Methodological, data and institutional requirements for multi-region input-output analysis

In order to understand wider sustainability impacts of consumption and to successfully promote and implement sustainable consumption and production policies, there is a need to capture the whole life-cycle impact of products and services across international supply chains. Multi-region input-output (MRIO) databases are a well described and suitable foundation for global sustainability analyses addressing a wide range of policy and research questions. In this paper we reflect on the reasons for the recent boom in MRIO compilation, summarise the current state of development and discuss future options for MRIO analysis. We list in detail the requirements for efficient and effective MRIO research and propose systemic and institutional changes. We deliberately try to go beyond existing ambitions for MRIO compilation and thus intend to stimulate discussion and to lay out the options for the future of MRIO research.     

Financial innovation,systematic risk and commercial banks’ stability in China: theory and evidence

We are dedicated to revealing the impacts of financial innovation and systematic risk on commercial banks’ stability in China, both theoretically and empirically. We established a theoretical model and derived a theoretical mechanism from this model revealing two distinctive patterns of the impacts determined by the profitability of financial derivatives: the impacts of financial innovation and systematic risk on banks’ stability in China are linear under the circumstances of a positive expected risk premium of financial derivatives; conversely, the impacts can be linear, U-shaped or cubic when the expected risk premium is negative. We make three propositions to analyse the patterns and conditions of these impacts in detail. In the empirical analysis, we do not focus only on the banking industry but also on individual commercial banks. The empirical results demonstrate that the impact of financial innovation on both the banking industry’s and most individual commercial banks’ stability are U-shaped, and the impact of systematic risk on the banking industry’s and on only one commercial bank’s stability are significantly linear, which confirms certain conditions mentioned in the theoretical propositions. Finally, the study’s conclusions are presented, and the contributions of the article to future study are also mentioned.     

黄河下游沿岸县域经济发展的空间分异

利用加权主成分分析法、GIS的趋势分析工具和Morans’I指数分析2009年黄河下游沿岸109个县域经济发展的空间差异,并运用MATLAB7.0的SOFM神经网络模型进行经济发展水平分类。结果表明：黄河下游沿岸县域经济发展的空间分异显著,宏观上呈现出西南—东北方向的U型趋势和东南—西北方向的倒U型趋势;县域经济空间集聚特征明显,东营、济南各县域以及荥阳为经济核心区,而豫东、菏泽等中原经济区东部平原县为经济塌陷区。109个县域的经济发展水平可以分为5类,其空间分布总体上符合圈层结构理论。用主成分得分作为输入,参考层次聚类结果确定神经元数是SOFM网络取得良好分类效果的前提。