China＇s success in reform and opening up policy for twenty years is regarded as China＇s miracles in the world, whereas the income differential widening phenomenon has been the focus of the policymakers and researche...China＇s success in reform and opening up policy for twenty years is regarded as China＇s miracles in the world, whereas the income differential widening phenomenon has been the focus of the policymakers and researchers. This article researches 1994-2003 China＇s rural regions income differential and its decomposition. The method this paper used to measure the disparity is Gini Index. There are many ways to compute it, so the easiest way to decompose Gini Index-Matrix method is adopted. And based on it, farmer＇s income could be divided into wage income, fanning income, transfer income and property income according to its composition. The conclusion is that all of the indexes are between 0.2 and 0.3, at the comparatively average level. From the fluctuation trend, it increased from 1994 to 1995, while reduced from 1995 to 1996, fluctuated in 1997, and then diminished again. In general, farmer＇s regions income differential stays at comparatively average level, but it has the widening trend with time. Through decomposing Gini Index, wage income is the most important increasing factor, while fanning income is the reducing factor.展开更多
Inter-industry wage differentials in China, measured in terms of average employment earnings by industry, are significant and have been increasing since 1988. The coefficient of variables measuring inter-industry aver...Inter-industry wage differentials in China, measured in terms of average employment earnings by industry, are significant and have been increasing since 1988. The coefficient of variables measuring inter-industry average earning differentials is apparently on the rise along with the subdivision of industry. A theoretical analysis of the labour market indicates that inter-industry wage differentials are mainly due to human capital variation among the employees of different industries and the likelihood of monopoly rent sharing. An empirical study finds that employee characteristics such as sex, age and education can only explain 60 percent of CVs in the period 2003 to 2005 and the rest may be due to the effect of monopoly rent sharing in certain industries. A residual analysis of wage equation proves that the monopoly industries of technology or knowledge share a small proportion of rents with employment, whereas non-competitive monopoly industries generally garner an abnormal share of rents, as much as half of their above-average earnings for their industries. Such abnormal rents and benefits are mainly the result of low cost natural resources, the use of state-owned assets, the misappropriation of consumer welfare and the seeking of fiscal or social subsidy for cost inflation. So, China should deal with the non-competitive monopoly industries by reforming their monopoly power and primary social distribution mechanism to structure a fair income distribution order.展开更多
Regression-based decomposition of inter-industry earnings differentials shows that in 1988, 1995 and 2002, inter-industry earnings differentials made an increasing contribution to urban earnings inequality in China. T...Regression-based decomposition of inter-industry earnings differentials shows that in 1988, 1995 and 2002, inter-industry earnings differentials made an increasing contribution to urban earnings inequality in China. The primary reason for the widening gap lay in monopoly industries. At the same time, geographical location, educational level, type of enterprise ownership, type of occupation and whether the individual had a second job also contributed to rising earnings inequality, while age and being fully employed made a decreasing contribution. Therefore, if China is to reduce the earnings gap it is imperative that we remove barriers to labor market entry and break down some monopoly industries in the product market. Additionally, reducing obstacles to the free movement of labor and improving workers＇ educational level should also be important elements of the government＇s strategy for reducing the urban income gap in future.展开更多
After entering the new century,the inter-industry wage differential in China is expanding continually.The regression-based Shapley-value decomposition shows that such factors as human capital,ownership system,capital ...After entering the new century,the inter-industry wage differential in China is expanding continually.The regression-based Shapley-value decomposition shows that such factors as human capital,ownership system,capital investment and technology have significant influence on the inter-industry income inequality;of which the contribution of human capital to the differential is about 45%,and the ownership system is more than 20%.Therefore,such administrative measures as equal education,increasing education returns,opening the labor market of monopoly industry,and carrying out labor negotiation system can effectively settle the problem of inter-industry wage differentials.展开更多
基金Under the auspices of Soft Science Project of Agricultural Department of China (No.0508)
文摘China＇s success in reform and opening up policy for twenty years is regarded as China＇s miracles in the world, whereas the income differential widening phenomenon has been the focus of the policymakers and researchers. This article researches 1994-2003 China＇s rural regions income differential and its decomposition. The method this paper used to measure the disparity is Gini Index. There are many ways to compute it, so the easiest way to decompose Gini Index-Matrix method is adopted. And based on it, farmer＇s income could be divided into wage income, fanning income, transfer income and property income according to its composition. The conclusion is that all of the indexes are between 0.2 and 0.3, at the comparatively average level. From the fluctuation trend, it increased from 1994 to 1995, while reduced from 1995 to 1996, fluctuated in 1997, and then diminished again. In general, farmer＇s regions income differential stays at comparatively average level, but it has the widening trend with time. Through decomposing Gini Index, wage income is the most important increasing factor, while fanning income is the reducing factor.
基金funded by the National Philosophy and Social Science Innovation Centre of Economic ransition and Development of Nanjing University sponsored by the Ministry of Education of China
文摘Inter-industry wage differentials in China, measured in terms of average employment earnings by industry, are significant and have been increasing since 1988. The coefficient of variables measuring inter-industry average earning differentials is apparently on the rise along with the subdivision of industry. A theoretical analysis of the labour market indicates that inter-industry wage differentials are mainly due to human capital variation among the employees of different industries and the likelihood of monopoly rent sharing. An empirical study finds that employee characteristics such as sex, age and education can only explain 60 percent of CVs in the period 2003 to 2005 and the rest may be due to the effect of monopoly rent sharing in certain industries. A residual analysis of wage equation proves that the monopoly industries of technology or knowledge share a small proportion of rents with employment, whereas non-competitive monopoly industries generally garner an abnormal share of rents, as much as half of their above-average earnings for their industries. Such abnormal rents and benefits are mainly the result of low cost natural resources, the use of state-owned assets, the misappropriation of consumer welfare and the seeking of fiscal or social subsidy for cost inflation. So, China should deal with the non-competitive monopoly industries by reforming their monopoly power and primary social distribution mechanism to structure a fair income distribution order.
文摘Regression-based decomposition of inter-industry earnings differentials shows that in 1988, 1995 and 2002, inter-industry earnings differentials made an increasing contribution to urban earnings inequality in China. The primary reason for the widening gap lay in monopoly industries. At the same time, geographical location, educational level, type of enterprise ownership, type of occupation and whether the individual had a second job also contributed to rising earnings inequality, while age and being fully employed made a decreasing contribution. Therefore, if China is to reduce the earnings gap it is imperative that we remove barriers to labor market entry and break down some monopoly industries in the product market. Additionally, reducing obstacles to the free movement of labor and improving workers＇ educational level should also be important elements of the government＇s strategy for reducing the urban income gap in future.
文摘After entering the new century,the inter-industry wage differential in China is expanding continually.The regression-based Shapley-value decomposition shows that such factors as human capital,ownership system,capital investment and technology have significant influence on the inter-industry income inequality;of which the contribution of human capital to the differential is about 45%,and the ownership system is more than 20%.Therefore,such administrative measures as equal education,increasing education returns,opening the labor market of monopoly industry,and carrying out labor negotiation system can effectively settle the problem of inter-industry wage differentials.
