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By considering the threshold effects of different financial indicators, the current study investigates the relationship among income inequality, foreign direct investment (FDI), and financial development (FV) for a sample of 37 countries over the period 2001-2015. Using the panel smooth transition regression (PSTR) model, the empirical results indicate that FDI helps to reduce income inequality, but this beneficial effect becomes weak when the country has reached a threshold level of financial development. We also find that the effect of FV on income inequality is significantly positive, but this harmful effect decreases when the development of the financial system increases further. When the cross-country heterogeneity is considered, the results indicate that it is possible to improve income distribution through a combination of foreign and domestic funds for non-high income and nonlending countries. For those of non-income and counties with low FDI levels, they should focus more on strengthening financial development.

Purpose This paper aims to examine the linkage of regional housing markets between Taiwan and China as increasing economic integration. Design/methodology/approach Two time-varying estimations of cointegration tests, Gregory and Hansen (1996) cointegration test with structural break and the recursive coefficients of cointegration (Hansen and Johansen, 1993) are applied to trace the possible dynamic linkage of cross-border regional housing prices between Taiwan and China. Findings First, the estimating results of the long-run relationships show that increasing housing prices in Beijing and Shanghai decrease Taipei’s house prices, while Shenzhen and Chengdu have converse effects. The technologies’ levels of Taiwanese industries surrounding the cities in China will affect the direction of the linkage of regional housing prices between the two economies. Second, in light of causalities of these five housing prices’ changes, Beijing and Shanghai lead Taipei and Shanghai leads Chengdu, which, in turn, leads Shenzhen. Finally, the results of time-varying cointegration tests show that some critical economic and political incidents changed the linkages of housing prices between Taipei and the four cities in China. Originality/value Although some empirical works examined the linkages between cross-border house prices in Europe and the USA, study has looked at the linkages of cross-border housing prices between Taiwan and China. This is an interesting topic insofar as house price integration has implications for wealth effects that feed into consumer expenditure in both Taiwan and China. The empirical evidence overall displays the existence of the integration of regional housing markets between Taiwan and China. For the longer-term future, increasing economic integration between China and other Asia countries will result in greater and more diversified cross-border housing markets and pools of investors.

The aim of the paper is to study how trade freedom and financial freedom affect the excess return of real estate security, and we apply annual data for 1,108 publicly traded real estate companies of 24 countries from 2006 to 2013 to examine it. The main findings are as follows : First, for whole sample, the coefficients of the index of trade freedom, the index of financial freedom, are significantly negative, which means that higher freedom of trade and financial will increase efficiency of real estate market but the excess return of real estate will decrease. Second, comparing the effect of the indexes to affect excess return of real estate securities in three different regions, the indexes of financial freedom and Trade freedom are vital factors, but all of four indexes of freedom are important in Europe and other area. Third, the coefficients of indexes of monetary freedom and indexes of trade freedom are negative in both of high and non-high income groups. Finally, for the group of non-high income level, the coefficient of index of investment freedom is negative and the coefficient of index of financial freedom is positive, which are different with the results of the whole sample.