One of the most commonly used measures of economic growth is GDP (gross domestic product). Because China's growth has been so exceptional, the overall reduction in poverty has been substantial. From 1978 to 2012, Chinese GDP growth reduced the number of rural people living in extreme poverty from 250 million in 1978 to 27 million in 2010. Despite these figures, however, income inequality has widened. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayEvidence has shown that in the 1980s, the Gini coefficient in China was around 0.3, while it jumped to almost 0.55 in 2012. It is important to consider that a value of 1 corresponds to a single individual owning all the income in the economy. Furthermore, recent studies have used CI (the poor health score indicator) to measure health inequalities among migrant workers using a relationship between cumulative population (classified by income) and cumulative score poor health. A negative value indicates that poor health is concentrated among lower-income groups, consequently leading to health inequality favoring the rich. For example, the CI in China showed a value of -0.0866 in 2016. The aim of this work is to present and analyze a policy using the resources already used in the school system without additional costs for the government and /or tax changes. . It is also important to consider that a tax is a custom levied for general government services, while a fee is a levy levied to provide a service that benefits the individuals from whom the money is received. In particular, I will illustrate a conceivable policy promoting income redistribution in China, by providing more educational opportunities by setting different tuition fees at universities based on life field, in order to encourage applications for specific courses for students from lower socio-economic groups, thereby boosting overall work productivity. Educational inequality can be discussed as one of the reasons for causing income inequality. Poor children and youth are less likely to access higher education because low income reduces the potential accumulation of “human capital” (knowledge) and therefore forces poor families to reduce their investments in education . Since labor and its efficiency in production may depend heavily on education level (perhaps in a system that generally favors and rewards higher degrees), this in turn would lead to lower wages for people of the same age from different regions. In China, the considerable difference in income and education between urban and rural areas supports this idea. Adapting university tuition fees between different specializations based on sectors and areas could be a possible strategy. But can higher education really have the potential to increase wages? The benefits of adopting this policy and the answer to this question can be illustrated by measuring the ratio of the salary earned in the United States by a person with a college degree to the salary earned by a person with a high school diploma. This phenomenon can be expressed by basic supply and demand curves. In the late 1960s, the relative salary between colleges and high schools was quite high. Then the supply of university students hasincreased (moving from S1 to S2), causing the ratio to decline until 1979. It is important to note that the decline in the ratio from 1971 to 1979 was caused by the increasing number of students attending universities. Indeed, the wage premium fell from 60 percent in 1971 to about 45 percent in 1979. Supply continued to grow (the percentage of the labor force with a college degree rose from 22 percent in 1979 to 29 percent in 1994, a move from S2 to S3). Demand for college-educated labor also increased and the wage ratio quickly increased to a solid 80 percent for college degree holders (moving from D1 to D2). In China, the same result has been achieved after more than 20 years of market-oriented economic reform, where the average return to education has increased by about 60 percent, especially compared to that of the 1980s and early of the 90s. This reinforces the fact that over the years, higher education can encourage better salaries. As a result, businesses can expand their operations, leading to an increase in demand for work from people from poorer areas. However, in order to make this policy feasible, more detailed analyzes need to be analyzed, including the negative impacts of its application. First, individual tuition fees should be determined directly by university program administration offices with authorization from a local non-profit authority. composed of business leaders and students. Employers who are part of this authority could have the opportunity to list their production issues and thoughts, encouraging students to study in certain courses for which there could be a high relative demand in the labor market, by spreading innovation even in agricultural sectors. The appropriate policy response would be to provide pre-college information relevant to the appropriate stages of an individual's education, meeting the requirements of the skilled worker market in each region. For example, in the Yunnan-Guizhou Plateau region where agriculture is the main sector, universities could reduce tuition fees in agriculture-related subjects, thereby allowing poor students to study these subjects, thereby would lead to more job opportunities. Second, in rural areas tuition fees should be reduced. In 2005, educational inequality between rural and urban areas accounted for more than 72 percent of overall educational inequality. However, giving universities such decision-making power could actually lead to an increase in corruption, which is another major source of income disparity in China. For example, local institutions can use their power for private gain by selectively promoting tuition for specific courses. In this case, the anti-corruption campaign of recent years has favored the prosecution of thousands of civil servants across the country. On the other hand, universities would then be more sensitive to the demand for labor in each region, which could favor a less variety of profiles. courses offered, particularly in rural areas. A potential decrease in courses could lead to a loss of jobs in school structures and also result in a future exchange in the trend previously shown with a decrease in demand and an increase in supply, favoring a reduction in wages. In this case, innovation will be vital to maintain the trend with a positive result. Keep in mind: this is just a sample. Get an article now,.