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.     

Structural changes and regional disparity in China's inflation: a revisit

The study re-examined the time series properties and regional disparities in Chinese inflation by extending the work of Chong, Zhang, and Feng (2011 Chong, Tai-Leeung, Terence, Ning Zhang and Feng, Qu. 2011. Structural Changes and Regional Disparity in China's Inflation. Economics Bulletien, 31(1): 572–583.  [Google Scholar]). For this purpose we employed the Lagrange Multiplier (LM) unit root test with one structural break and two structural breaks suggested by Lee and Strazicich (2003 Lee, Junsoo, Mark, C. and Strazicich. 2003. Minimum LM Unit Root Test with Two Structural Breaks. Review of Economics and Statistics, 85(4): 1082–1089. [Crossref], [Web of Science ®] , [Google Scholar], 2004 Lee, J. and Strazicich, M. 2004. Minimum LM unit root test with one structural break. Working Paper 04–17, Boone, North Carolina: Department of Economics, Appalachian State University.  [Google Scholar]) and a recently developed ADF type unit root test with two structural breaks of Narayan and Popp (2010 Narayan, Paresh Kumar and Stephan Popp. 2010. A New Unit root test with Two Structural Breaks in Level and Slope at Unknown Time. Journal of Applied Statistics, 37(9): 1425–1438. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). We found that national, urban and rural series of the overall inflation series, clothing, and food, national series of education and residence and the rural series of residence and education are stationary. We also found regional disparity in Chinese inflation, but the disparities existed only in education inflation series.     

Stock prices,inflation and inflation uncertainty in the U.S.: testing the long-run relationship considering Dow Jones sector indexes

We test for the long-run relationship between stock prices, inflation and its uncertainty for different U.S. sector stock indexes, over the period 2002M7–2015M10. For this purpose we use a cointegration analysis with one structural break to capture the crisis effect, and we assess the inflation uncertainty based on a time-varying unobserved component model. In line with recent empirical studies we discover that in the long run, the inflation and its uncertainty negatively impact the stock prices, opposed to the well-known Fisher effect. In addition we show that for several sector stock indexes the negative effect of inflation and its uncertainty vanishes after the crisis outburst. However, in the short run the results provide evidence in favour of a negative impact of uncertainty, while the inflation has no significant influence on stock prices, except for the consumption indexes. The consideration of business cycle effects confirms our findings, which proves that the results are robust, both for long- and short-run relationships.     

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.     

The effect of the market-based monetary policy transparency index on inflation and output variability

This paper examines empirically the effectiveness of the Federal Reserve’s policy under different levels of transparency by using a dynamic and continuous market-based index proposed by Kia (2011 Kia, A. 2011. “Developing a Market-based Monetary Policy Transparency Index: Evidence from the United States.” Economic Issues 16 (2): 53–79. [Google Scholar]) on inflation volatility and output volatility. In theory, the more transparent the monetary policy, the less volatile the money market will be with fewer disturbances and thus the more stable will be the economy. First, a bivariate VAR-BEKK-GARCH(1,1) model is estimated for inflation and output variables in the US economy in order to produce conditional variances and covariance over the period October 1982 to December 2011. Second, by incorporating conditional variances and transparency in a VAR model, impulse response functions reveal that after a positive shock in the Federal Reserve’s transparency (i.e. market participants consider the Federal Reserve’s actions to be more transparent), there is a statistically significant decrease in both inflation volatility and output volatility. Our results reveal the dynamic and crucial role that a central bank’s transparency plays in retaining economic stability and assuring the forecasts concerning inflation and economic growth made by the economic units.     

A note of caution on the relation between money growth and inflation

We assess the bivariate relation between money growth and inflation in the euro area and the United States using hybrid time-varying parameter Bayesian VAR models. Model selection based on marginal likelihoods suggests that the relation is statistically unstable across time in both regions. The effect of money growth on inflation weakened notably after the 1980s before strengthening after 2020. There is evidence that this time variation is related to the pace of price changes, as we find that the maximum impact of money growth on inflation is increasing in the trend level of inflation. These results caution against asserting a simple, time-invariant relationship when modeling the joint dynamics of monetary aggregates and consumer prices.     

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.     

A new approach to the identification of regional clusters: hierarchical clustering on principal components

This study focuses on the identification of regional business clusters as a primary step in the design and implementation of cluster-based development strategies. A methodology that has not been used previously to identify clusters is applied to data on inter-industry linkages from the input–output table of a region in northern Spain. The first advantage of this approach, hierarchical clustering on principal components (HCPC), over the use of factorial analysis alone, is that it involves the application of objective clustering techniques to the principal components analysis results, which leads to a better cluster solution. A second advantage is derived from using a mixed algorithm for the clustering process – a combination of the Ward’s classification method with the K-means algorithm – which improves the robustness of the final results.     

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.