The extension of two-factor model of justice： Hierarchical regression test and sample split

The purpose of this research is to test social capital as a moderating role in the relationship between organizational justice （distributive ＆ procedural） and （personal ＆ organizational） outcomes within the two-factor model. The two-factor model is a concept introduced by Sweeney and McFarlin （1993） who explained that distributive and procedural justices have different influences on outcomes. In the two-factor model, the effects of distributive justice on personal outcomes are more dominant compared with procedural justice. On the other side, procedural justice will be more accurate to predict the organizational outcomes compared with distributive justice. This model is based on U.S.A. setting research. Empirically, that model is not always supported in the field. The different empirical results indicate that the model is not universal cross population, but more dependent on individual differences. Based on theoretical studies, social capital is the individual differences that important in explaining human in cognition and behavior. This research is done in Indonesian setting where the researcher gathered 426 samples of full-time private university employees in Yogyakarta. In general, the result supported the hypothesis that high or low social capital will make differences in the relationship between organizational justices and personal organizational outcomes.     

Do China＇s Outward Direct Investors Prefer Countries with High Political Risk？ An International and Empirical Comparison

This paper focuses on a conventional debate regarding whether Chinese outward direct investors tend to invest in countries with high political risk. Using 2003 -2011 data from the World Bank, the Heritage Foundation and the KOF Swiss Economic Institute, we investigate China ＇s political risk distribution and political risk index （PRI）. Our results indicate that China ＂s political risk index was ranked 48th among 153 economies in 2011, in the lower risk level of the PRI spectrum. In an international comparison of political risk distribution, the proportion of Chinese outward direct investment （ODI） among countries with high political risk is less than the world average. The Chinese ODI political risk index has significantly improved and remains lower than the world average. To improve Chinese ODI PRI, the Chinese Government should continue to implement differentiation strategies and to offer official development assistance to improve the investment environment in developing countries and reduce political risk.     

The relationship between national saving and domestic investment in economy of Iran

In this paper, the relationship between national savings and domestic investment is examined in order to determine the degree of international capital mobility in Iran＇s economy over the sample period （1959-2007）. To this end, first the savings and investment correlation as postulated by Feldstein and Horioka was revisited using the recently developed bound testing approach （ARDL）. Amongst the key results, was a significant and robust positive association between the ratio of gross domestic investment to gross domestic product and the ratio of national savings to gross domestic product. Next, the coefficient of ECM derived from the ARDL test showed that the speed of adjustment in the estimated models was relatively high and has the expected significant and negative sign. The results indicate that deviation from the long-term path was corrected by approximately 63 percent over the following year. In addition, the savings-investment correlation relationship is examined in terms of an error correction model in order to gain some insight into the degree of capital mobility. The results show that savings and investment are to a great extent co-integrated. In other words, there is a significant long-run relationship between savings and investment in the Iranian economy. Also, the long-run relationship between these variables shows a low degree of capital mobility in Iran, because government policies have had no considerable effect on the savings-investment gap in Iran. The empirical findings suggest that liberalizing both the exchange rate system and interest rates and facilitating capital flow would increase international capital mobility.     

Resilient and Inclusive Prosperity within Planetary Boundaries

The current model of economic growth generated unprecedented increases in human wealth and prosperity during the 19th and 2Oth centuries. The main mechanisms have been the rapid pace of technological and social innovation, human capital accumulation, and the conversion of resources and natural capital into more valuable forms of produced capital. However, there is evidence emerging that this model may be approaching environmental limits and planetary boundaries, and that the conversion of natural capital needs to slow down rapidly and then be reversed Some commentators have asserted that in order for this to occur, we will need to stop growing altogether and, instead, seek prosperity without growth. Others argue that environmental concerns are low-priority luxuries to be contemplated once global growth has properly returned to levels observed prior to the 2008 financial crisis. A third group argues that there is no trade-off and, instead,, promotes green growth： the （politically appealing） idea is that we can simultaneously grow and address our environmental problems. This paper provides a critical perspective on this debate and suggests that asubstantial researc＇h agenda is required to come to grips with these challenges. One place to start is with the relevant metrics： measures of per-capitawealth, and, eventually, quantitative measures of prosperity, alongside a dashboard of other sustainability indicators. A public andpoliticalfocus on wealth （a stock）, and its annual changes, could realistically complement the current focus on market-based gross output as measured by GDP （a flow）. This could have important policy implications, but deeper changes to governance and business models will be required.     

Evidence of Credit Risk Contagion Between Corporate and Financial Sectors

We propose a copula-GARCH framework to analyze the credit risk dependence structure between the European corporate and financial sectors. Empirical study is conducted on two representative iTraxx indices. In order to better capture the dynamic behavior of dependence we allow copula parameters to be time-varying by specifying them as a function of past values and standardized score of the copula log-likelihood. The results obtained indicate a time-varying dependence structure with statistically significant tail dependence coefficients supporting the existence of credit risk contagion effects. Goodness-of-fit tests are used to indicate which model is closest to the true conditional copula. Our findings provide further evidence supporting the interconnectivity of credit risk between corporates and financial institutions operating on the European market.     

The Significance of Costs Calculation in Evaluation of the Value Added

In the article, a problem of importance of proper costs calculation caused by risk factors which emerge in logistic processes is presented. On the basis of literature analysis, there was shown the costs structure of the value chain. The concept of customer value and the concept of enterprise value were extracted. It presents also dependence between actions in internal value chain and generated cash flows. It signalizes also the meaning of risk management influence on the problem of achieving established value added, understood as net income from operational activity by the main enterprises processes. Basis of theoretical modeling using the Gorbatov＇s principle of characterization was discussed. The research material relates to food businesses. The study was conducted on the basis of questionnaires, surveys, and direct conversations with employees. To build the model, the theory of characterization was used. Its essence is in the mutual interpretability model of the test object to the model structure. Mutual interpretability of models is achieved by selection of the proper functioning of the universal laws （expressed in the functional model） and the structural interpretation of the functional model, the one of representative character is Hasse diagrams. The functioning of the model is illustrated experiment research of the study. The results show the great importance of the correct calculation of the cost of risk factors in logistics processes. Not taking into account the actual cost of risk factors may have a significant influence on errors in decision-making, giving an incorrect picture of the financial situation. A false idea of the creation of value-added may consequently result in the deterioration of the conditions of the enterprise market functioning.     

Study on the model of knowledge map based on concept clustering

Focusing on the issue of knowledge sharing in organization knowledge management, a knowledge map model using knowledge space triple （knowledge, property, relation） as context is given to build knowledge map, which is based on concept clustering algorithm. In this model, knowledge and its relations are organized and described correctly. And it is efficiently and conveniently to search needed knowledge in organization knowledge sharing, and exert maximum effect of knowledge capital.     

The Evolutionary Game Model of Enterprise Competition Strategy Considering Market Share

In this paper, we analyze the limitation of rationality, and on basis of Cournot model, we give a Cournot model with double objectives considering market share （output）, and divide the enterprise competition into two stages： the first stage, the Cournot competition game with double objectives considering market share; the second stage, the evolutionary game based on Nash equilibrium strategy. In an indirect evolutionary approach, we obtain the Evolutionary Stable Strategy （ESS） of CE model, analyze and compare the different results of C model and CE model derived from different hypotheses. CE model is an extensive form of conventional Cournot model, whose structure and equilibrium result is helpful to give more effective explanation and forecast to actual situation. The study approach in this paper, to some extent, is generally applicable to other game models.     

Thinking on the withdrawal mechanism of venture capital in China

From the operating mechanism of venture capital, we can see that, the withdrawal mechanism of the venture capital plays a decisive role in the ultimate success or failure of the venture capital. One of the key issues affecting the development of China＇s venture capital industry is that the withdrawal mechanism is not sound. In referring to the foreign successful experience, we must fully analyze it by integrating with the actual situations of China. Currently, the capital market, property market, venture capital system and legal system of China are not perfect, and the improvement of the mechanism can not be done overnight. We can first choose to withdraw in a practical way in the current stage to gain the time to develop, and then continue to pave the way to create conditions, and finally establish a perfect venture capital withdrawal mechanism.     

Is the Export-led Growth Hypothesis Enough to Account for China＇s Growth？

One of the missing pieces preventing us from understanding recent Chinese economic development is the role played by openness and capital accumulation in this process. The question is whether the sharp economic＇ growth that the Chinese economy has experienced is another case of export-led growth due to the open-door policy or whether, on the contrary, this growth has been caused by high domestic savings and investment rates （and the consequent capital accumulation）. To answer this question, we employed an empirical framework of the cointegrated vector autoregressive model. The empirical results show that both investment （in physieal capital and R＆D） and exports, as well as the exchange rate policy, are relevant factors in explaining China＇s long-run economic growth over the past 4 decades.     

Employment and Working Hour Effects of Minimum Wage Increase： Evidence from China

Using a difference-in-differences model, the present paper provides empirical evidence of minimum wage effects on employment and working hours in China. The results show that male employment is not affected by a minimum wage increase, although men ＂s working hours do increase. In contrast, female employment is more likely to be negatively affected by a minimum wage increase, while their working hours remain unchanged. This may lead to women being in a more disadvantaged position in the workforee, and adopting a monthly minimum wage may induce firms to extend men＇s working hours. Therefore, to better protect disadvantaged workers, we suggest that minimum wage regulation should focus on the target group of less-educated women, and that a unified minimum hourly wage needs to be set for both full-time and part-time workers. Meanwhile, the importance of human capital accumulation shouM be addressed in alleviating the negative effects of minimum wage increases.     

Emerging Geography of Creativity and Labor Productivity Effects in China

The paper presents an alternative approach to explain why regional productivity is different across regions by utilizing the creative class approach in China. First, we analyze the extent of spatial agglomeration of the creative class across regions in China. Second, we develop a model with spatial externalities to investigate how the concentration of the creative class can promote regional productivity. Our analysis confirms the importance of spatial agglomeration of the creative class in stimulating regional productivity. The results also imply that regional productivity is greater in markets with higher levels of innovation, capital stock, manufacturing and urbanization. In light of the results of our analysis, we discuss a number of policy implications.     

Vehicle Industry Competitiveness in Central and Eastern Europe

By writing of this study we had an objective to set up a model which is able to explain the location decisions in the Central and Eastern European region. As an initial presumption we have connected the local capital flow to the regional competitiveness and have analysed the location factors behind the decision-makings. After uncovering the theoretical background we set up a six factors model which consists of the industrial traditions, business environment, labour market, taxation, infrastructure, and local supplier network. As a final conclusion we have tried to set up ranking with the 10 analysed countries. As a research question we wanted to prove that the competitiveness gaps are existing and are even wider in the last 10 years in the Central and Eastern Europe （CEE） region. The research based on a global vehicle industry research implemented by the Szechenyi Istvan University Hungary and participated by economists and engineers as well between 2011 and 2013. The research group with economist has been dealing with different competitiveness, location and innovation issues which are occurring in the automotive industry. Besides, the engineering group tried to solve different logistics and supply chain management problems. This article shares the results about competitiveness and location factor questions.     

Multi-valued Document Classification Based on Generalized Bradley-Terry Classifiers Utilizing Accuracy Information

Due to the development of computer network, a large amount of documents are treated in many fields. The number of digital document data stored in databases is enormous, accordingly it is difficult for analysts to read all documents and classify it by hand. Therefore, it is necessary to develop the technology of automatic document classification by using computers these days. From the above needs, many classifiers with good performance have been proposed, i.e., Relevance Vector Machine （RVM） and Support Vector Machine （SVM） that are known as good binary classifiers. For multi-valued document classification problems, it is known that a multi-valued classifier by combining several binary classifiers has a good performance. In this study, the method to construct an efficient combination of binary classifiers based on improving Generalized Bradley-Terry （GBT） model, which has high extensibility, is focused. This model is an expansion of Bradley-Terry （BT） model. Though the BT model has a limitation on combination of classes, the GBT model enables us to utilize any binary classifier which classifies into two arbitrary subsets in the class set. Generally, when several binary classifiers learn from the training dataset, there would be the difference of accuracy between these binary classifiers, due to the existence of categories that cannot be easily classified. However, the conventional method of multi-valued classification by GBT binary classifiers does not take the accuracy of each classifier into consideration. To avoid this problem, a new way of multi-valued classification method by considering each classifier＇s accuracy is proposed. The purpose of this study is to construct a good multi-valued classifier by calculating the accuracy of each classifier and utilizing it as the weight. In order to verify the effectiveness of the proposed method, the simulation experiment by using newspaper articles is conducted.     

Managerial Ownership and Intellectual Capital Efficiency： Evidence From Poland

This article contributes to the corporate governance and intellectual capital literature and examines the relationship between managerial ownership and intellectual capital efficiency （ICE）. The results were obtained by investigating a sample of 1,057 firm-year observations and 292 companies listed on the Warsaw stock exchange between 2008 and 2013. Since the data span covers six years, panel data analysis （fixed-effects model） is employed. The empirical analysis indicates that managerial ownership is negatively related to human capital efficiency （HCE）, which is partly consistent with some previous studies. As such, it indicates the entrenchment effect of insider ownership. Moreover, the study concludes that these and previous results on the relationship between managerial ownership and IC efficiency are not robust due to ICE measures, which now are employed in research.     

The impact of foreign direct investment and trade on economic growth Taking China, Korea, Malaysia, Philippines ＆ Thailand for example

In this study the authors make efforts to survey the impact of foreign direct investment and trade on the economic growth of five East Asian countries, China, Korea, Malaysia, Philippines and Thailand. Using an augmented production function （APF） growth model, the authors apply panel data Method and data span is from1980 to 2006. The required data are extracted from World Development Indicator 2008. The result shows that a co-integration relationship between growth and its determinants in the APF model is supported. Firstly, the study shows that with the increasing the inflow of foreign direct investment, positive impact on growth in Thailand, Korea and China is proved. However, this impact is negative in Philippine and Malaysia. Also the impact of trade on economic growth has the same result with FDI impact in sign. Further, the impact of labor force on growth is not significant in these countries and the effect of gross fixed capital on growth is positive and has a very high impact on selected countries.     

Demand for reinsurance： Evidence from Australian insurers

Reinsurance is widely recognised as important in insurer risk and capital management. This paper examines the factors that determine insurer demand for reinsurance using Australian data. The Australian situation is interesting because of the tax imputation system and the prudential regulations that were in force during the period of the study. As far as the authors are aware, this is the first paper to empirically analyse the demand for reinsurance in Australia. A panel-data set （1996-2001） is used, which provides 543 observations. The authors provide a careful approach to econometric diagnostic testing and the choice of the most appropriate panel-data model and the authors show how failure to do so may generate misleading results. Based on a robust estimation procedure, the authors find strong evidence of a positive relation between variables related to company size and the demand for reinsurance in Australia. The impact of leverage, taxes, and return on investments are not statistically significant.     

Strategic Asset Allocation for China＇s Foreign Reserves： A Copula Approach

In this paper, we study strategic asset allocation for China＇s foreign reserves using a risk- based approach. Four aspects of the risk management are investigated： an investment universe, dependence structure, allocation strategies under risk minimization and trade-off between risks and returns. A regime-switching copula model is developed to investigate the dynamic dependence between assets. One regime emphasizes a short-term safe asset and the other regime emphasizes a long-term safe asset. The optimal allocation is derived following two strategies： risk minimization and trade-off between risks and returns in utility maximization with disappointment avoidance, lf the central bank focuses solely on risk minimization, the asymmetries in the asset return dependence encourage the flight to safety. However, if higher risks are allowed in exchange for higher returns, even the exchange is very conservative, and the asymmetries would discourage the flight to safety. Therefore, we suggest that China should mitigate its flight to safety after 2008 and increase holdings of short-term bank deposits, long-term treasury bonds and euro bonds.     

Innovations in the Application of Insurance-linked Securities in Non-financial Companies

Recently, capital market innovations within transferring insurable risk have grown in diversity. It initiated the development of innovative financial instruments, with the prime role of Insurance Linked Securities （ILS）. Financial institutions （insurers in particular） remain the key players on this market. However, ILS are applicable in non-financial companies as well. Accordingly, the aim of this study is to broadly discuss the application of ILS in non-financial companies. In particular, the purpose of this paper is to provide answers to the crucial questions： （1） What are the potential areas of the use of ILS in non-financial companies？ （2） What are the consequences of the use of ILS in non-financial companies？ The paper is based on the application of document analysis and literature studies as its main research methods. The literature review was directed to enable the provision of systemized characteristics of 1LS. Additionally, case studies were implemented to indicate the areas of ILS applications in non-financial companies. Overall, ILS in the class of financial instruments （including cat bonds, insurance derivatives, and contingent capital structures） may find potential use in non-financial companies. However, significant limitations of such a use are identifiable, mainly within the expert knowledge need and accessibility.     

Regional Inequalities and Its Determinants in Rural China：An Empirical Study Based on Agricultural Household Level Data

Using 1000 agricultural household survey data in 2002, this paper employs Gini coefficient and the Theft index to explore the regional inequalities and its determinants in rural China. We first measure the overall rural income inequality, and then decompose it by region and by factor （source of income） respectively. Third, we construct an econometric model to analyze the determinants affecting the income inequality indexes. Our main finding is that although Gini coefficient and Theft index is at a normal level, we need to point out that there exists a risk that the income inequality may climb up with the misbalanced growth of regional economy without taking adequate policy into account. At the end of this paper, policy suggestion is given： governments should offer more financial support for the less developed rural areas, where income level is quite low. An alternative choice is to enhance the transfer payment for the low-income people, and help them to get access to profitable economic project. In the long run, it is especially important to strengthen the farmers＇ professional training, and to increase their migrant ability to nonagricultural career.