Financial market and housing wealth effects on consumption: a permanent income approach

The objective of this study is to examine the financial market and housing wealth effects on consumption. Housing has the dual functions as both a commodity yielding a flow of housing services and an investment asset yielding a flow of capital income. With the construction of an empirical framework based on the vector autoregression approach, the findings from this study suggest that a rise in housing price has both a positive wealth effect and a negative price effect on consumption. While the positive wealth effect is caused by an increase in capital income, the negative price effect is caused by an increase in the cost of housing services. In addition, the housing market wealth effect increases, at the expense of the price effect, with the level of housing-market leverage. These findings imply that the government policy of land supply aiming to stimulate the economy should strike a balance between the possible wealth and price effects of the housing market.     

Empirical research on monetary policy,asset prices and inflation: an analysis based on provincial panel data in China

In this article, we investigate the dynamic correlations among monetary policy, asset prices and inflation and assess the regional effects of monetary policy in China for the period October 2007 to July 2013. We focus on the interdependencies among monetary policy and asset price fluctuations by using the Shanghai Interbank Offered Rate as the preferred variable for analysing monetary policy movement. In particular, we apply a vector autoregressive model in a panel setting, which allows researchers to examine variations over time or across individual regions. The empirical results presented herein indicate that monetary policy reacts actively to asset prices, although it is still shown to be ineffective. In addition, we find that asset prices display some regional differences in their response to an unexpected monetary policy shock.     

试析人民币对外升值与对内贬值并存

Since 2002, RMB has shown a phenomenon which is the co-existence of the external appreciation and the domestic inflation. This new monetary phenomenon has been strengthened in the context that US dollar depreciates internationally and that domestic economy is overwhelmed with excessive liquidities. The new monetary phenomenon is the reflection of the real economy that continuing trade surplus, triggered robustly by the export-driven economy, which brings a huge amount of foreign exchange reserve and accelerates sequentially the expansion of domestic money supply. Furthermore, a refrained appreciation of RMB tends to deteriorate the domestic inflation, which is not simply a traditional concept of CPI but a broad inflation parameter including a variety of asset prices. It is sure that the new phenomenon is becoming a new challenge to the macroeconomic equilibrium as well as the decision maker of monetary policy. __________ Translated from Jingji yanjiu 经济研究 (Economic Research Journal), 2007, (9): 32–48     

A common factor of stochastic volatilities between oil and commodity prices

This article analyses the multivariate stochastic volatilities (SVs) with a common factor influencing volatilities in the prices of crude oil and agricultural commodities, used for both biofuel and nonbiofuel purposes. Modelling the volatility is crucial because the volatility is an important variable for asset allocation, risk management and derivative pricing. We develop a SV model comprising a latent common volatility factor with two asymptotic regimes with a smooth transition between them. In contrast to conventional volatility models, SVs are generated by the logistic transformation of latent factors, which comprise two components: the common volatility factor and an idiosyncratic component. We present a SV model with a common factor for oil, corn and wheat from 8 August 2005 to 10 October 2014, using a Markov chain Monte Carlo method to estimate the SVs and extract the common volatility factor. We find that the volatilities of oil and grain markets are persistent. According to the estimated common volatility factor, high volatility periods match the 2007–2009 recession and the 2007–2008 financial crisis quite well. Finally, the extracted common volatility factor exhibits a distinct pattern.     

Decomposing household,professional and market forecasts on inflation: a dynamic factor model analysis

A dynamic factor model with stochastic volatility is used to investigate the relationships between three alternative measures of inflation expectations. The results show evidence of both a common time-varying trend and a common transitory component between inflation and short-term inflation expectations from households, professionals and markets. While the common time-varying trend has declined in both level and volatility since the early 1980s, it was found that consumer expectations are disproportionately influenced by the visibility of prices of select few goods. Roughly speaking, a 1% point increase in food and energy prices leads to about 1/3% point increase in consumer forecasts of inflation. In terms of policymaking, this finding suggests that stability in highly visible prices can moderate inflation in a meaningful way.     

Empirical study on evaluation of regional agri-food logistics capability in e-commerce environment based on factor analysis A case study of Hebei province

With SPSS16.0 software, this paper chooses the statistical data of 11 cities in Hebei province to empirically study the agri-food logistics capability based on the method of factor analysis, and finally obtains the ranking of the 11 cities. It shows that, factor-cluster analysis is an effective method to analyze the logistics capability of agri-food. It can simplify the original complicated problem and lead to an objective, reliable and convincing conclusion.     

Modelling regional policy scenarios in the agri-food sector: a case study of a Spanish region

The agri-food industry has several features of great importance for sustainable economic growth in rural areas. The objective of this work is to evaluate the effects associated with different scenarios of growth, and changes in the regional agri-food industry. These scenarios simulate changes in exports and imports, changes in technology and changes in the level of industrial integration. We develop a computable general equilibrium model calibrated for the region. Our results indicate that policies trying to improve the competitiveness and dynamism of strategic sectors as the agro-industrial complex in this regional economy exert positive effects on its growth and income, having notable impacts on local job markets but also in other sectors and activities linked through the whole production chain.     

Wage differentials by sector and gender: a quantile analysis for the Spanish case

This paper analyses existing wage differentials between workers in the public and private sectors and by gender in Spain. This analysis is run throughout the entire earnings distribution and observed wage differentials are decomposed into a part explained by differences in productive characteristics and a part due to differences in returns to such characteristics. Our results show that public sector workers tend to earn higher wages than private employees, although most of this sector wage gap is due to better public workers’ productive characteristics. A wage premium in favour of men is also found in both the public and private sectors, with the gender wage gap greater at the top of the earnings distribution.     

The productivity paradox and the new economy: The Spanish case

This paper studies the impact of the information and communication technologies (ICT) on economic growth in Spain using a dynamic general equilibrium approach. Contrary to previous works, we use a production function with six different capital inputs, three of them corresponding to ICT assets. Calibration of the model suggests that the contribution of ICT to Spanish productivity growth is very relevant, whereas the contribution of non-ICT capital has been even negative. Additionally, over the sample period 1995–2002, we find a negative TFP growth and productivity growth. These results together aim at the hypothesis that the Spanish economy could be placed within the productivity paradox.     

An analysis of the impact of unionization on efficiency: evidence from a meta-frontier analysis

This article examines the impact of unions on the efficiency of establishments in the manufacturing industry by comparing the results from two different empirical strategies: stochastic frontier analysis (SFA) and meta-frontier analysis (MFA). While SFA concludes that union establishments show higher technological efficiency, the results are the opposite when estimating production functions with MFA. In SFA, unionized establishments appear to be more efficient because they remain closer to their own production frontier; however, in MFA – where groups with heterogeneous technology can be compared – we find that nonunionized establishments are more efficient because they are closer to the meta-frontier than their unionized counterparts.     

Impact of oil price shocks on output,inflation and the real exchange rate: evidence from selected ASEAN countries

This article analyses the impact of oil price shocks on real output, inflation and the real exchange rate in Thailand, Malaysia, Singapore, the Philippines and Indonesia (ASEAN-5) using a Structural VAR model. The cointegration tests indicate that the macroeconomic variables of these countries are cointegrated and share common trends in the long run. The impulse response functions reveal that oil price fluctuations do not impact the ASEAN-5 economies in the long run and much of its effect is absorbed within five to six quarters. The variance decomposition results further assert that with a few exceptions oil price shocks do not explain a significant variation in any of the variables under consideration. We also identify a very unique pattern of response to oil price fluctuations between Malaysia and Singapore and between the Philippines and Thailand. The pairs exhibit a high degree of similarity in their responses; they do not share any commonalities across the group.     

Relations of the regional Brazilian cane agro-industry with the national economy: analysis applied to the Centre-South and North-Northeast

Cane, sugar and ethanol production in Brazil has been divided between two major production regions, the Centre-South (CS) and the North-Northeast (NNE), which present very different productivity, and henceforth production costs. The CS average productivity is more than 72 tonnes of cane per hectare, while average productivity in the NNE is 49 tonnes per hectare. The objective of the study was to establish interrelations between the cane agro-industry and other regional sectors and with the overall Brazilian economy. This framework was used to compare a demand impact upon regional cane production upon the regional and the overall Brazilian economy. An interregional input–output matrix was used to characterize how regional demand impacts on both regional and overall Brazilian economies. Rasmussen–Hirschman indexes, together with a pure linkage index were used for the analysis. In addition, production multipliers, with and without considering endogenous family consumption were estimated. The results showed that a positive demand impact upon the cane agro-industry produces a greater impact upon the NNE compared to the CS, considering income effects, indicating that cane production is more important for the NNE than for the CS. These results can be useful to establish priorities for development policies for the country.     

民族地区高等院校区域经济学教学方法探讨

民族地区高校经济学专业普遍开设有区域经济学课程,在其教学过程中存在着教材选择与补充的问题、师资力量弱、教法与考核简单、缺乏实践教学,应结合实际科学设置课程,着力补充教材实践案例提高学生学习的积极性、建立一支结构合理的师资队伍、加大现代化教学硬件设施的投入,努力改进教学方法、加大实践教学的力度,不断提高教学质量,培养民族地区经济和社会发展的适应型人才。     

A disaggregated analysis of EU imports: the implications for the study of patterns of trade and technology

This paper examines trends in the unit prices of manufacturedimports into the European Union (EU) in the period 1988–2002.This is undertaken at a high level of disaggregation, and itis this decomposition which we believe has important implicationsboth for a range of bodies of economic analysis and for policy.The analyses undertaken in this paper confirm that disaggregationmatters in helping to identify unit-price trends. We have alsoshown that unit-price trends vary with the type of economy exportinginto Europe and the type of product being exported, and thatthese results are robust at high levels of disaggregation.     

Assessing the economic impact of entrepreneurship on a regional economy using social accounting matrices: the case of Andalusia

This article analyses the impact that entrepreneurial activity has, from the economic point of view, on a regional economy (Andalusia), based on a Social Accounting Matrix linear model. Moreover, to measure entrepreneurship at regional level, it is defined what can be considered an entrepreneurial initiative company from a quantitative point of view. The results obtained, in terms of Production, GDP and job creation, show how entrepreneurship, in the case of Andalusia, contributes to the sustainability of the economy, its growth and, above all, the reduction of unemployment in the short term.     

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.     

Industrial development environment and innovation efficiency of high-tech industry: analysis based on the framework of innovation systems

This present paper studies the relationship between the industrial development environment (IDE) and the innovation efficiency (IE) of China’s high-tech industry. First, drawing upon insights from research on regional innovation systems and sectoral innovation systems, the paper proposes a definition of the IDE within which China’s high-tech industry exists. Then, by a factorial analysis, three main components reflecting the IDE are obtained: regional development conditions, regional consumption potential, and interactions between innovation actors. Furthermore, the impacts of various facets of the IDE on three kinds of IE are investigated through the DEA-Tobit regression approach. Based on the results, our analysis can provide information for policymakers to create a favourable environment for China’s high-tech industry.     

Deficit sustainability and inflation in EMU: An analysis from the Fiscal Theory of the Price Level

Price determination theory typically focuses on the role of monetary policy, while the role of fiscal policy is usually neglected. From a different point of view, the Fiscal Theory of the Price Level takes into account monetary and fiscal policy interactions and assumes that fiscal policy may determine the price level, even if monetary authorities pursue an inflation targeting strategy. In this paper we try to test empirically whether the time path of the government budget in EMU countries would have affected price level determination. Our results point to the sustainability of fiscal policy in all the EMU countries but Finland, although no firm conclusions can be drawn about the prevalence of either monetary or fiscal dominance.     

Suitability evaluation of regional coastal ecotourism based on SOM neural network model:a case study of Qingdao,Yantai,Weihai and Rizhao of Shandong Province

Development of coastal ecotourism has been a,focus of Shandong government, and the suitability evaluation of regional eoastai ecotourism is crucial for the reasonable plan and sustainable development of Shandong coastal ecotourism. By using MATLAB language to establish a SOM neural network model, this＇ paper evaluates the eoastal ecotourism suitability of four regions, Qingdao. Yantai, Weihai and Rizhao of Shandong Province and divides 33 subordinate regions of those four cities into four categories, i.e. regions poorly suitable for ecotourism resources, regions highly suitable for coastal ecotourism, regions secondly suitable for coastal ecotourism, regions ordinarily suitable.for coastal ecotourism, Related suggestions on development of regional coastal ecotourism have been given in the final conclusions.     

Examining the global environmental impact of regional consumption activities — Part 1: A technical note on combining input-output and ecological footprint analysis

In recent years there have been a number of attempts to develop a more comprehensive approach to the issue of measuring resource use and/or pollution generation embodied in trade flows, including contributions that combine input-output techniques and Ecological Footprint analysis. In this two-part paper we describe how to enumerate the resource and/or pollution content of inter-regional and inter-national trade flows (Part 1) and we present a literature review of recent methodological and empirical developments (Part 2). It is straightforward in principle to extend the basic input-output approach to capture international trade flows. However, in practice, problems of data availability and compatibility, and of computability of extended input-output matrices, mean that simplifying assumptions are generally applied, but with the implications of these assumptions often not made fully explicit. What appears to be absent from previous applications is an account of the analytical method by which Ecological Footprints should ideally be estimated in an international input-output accounting analysis. This allows an explicit analysis of the problems that prevent the application of the full method and identification of the most appropriate short-cut methods in a transparent way. The objective of this paper is to provide such an account.