Effects Of Social Cost On Economic Growth Based On Support Vector Regression

Since the reform and opening from1978, in the process of economic growth Chinahas obtained gratifying achievements of high-speed economic growth in more than30years, which is known as “China’s growth miracle” by the international society, andarouses great attention of scholars. At the same time, we can see that somedisharmonious social phenomenon that are accompany with and conflict to rapideconomic growth phenomenon has also been arising, such as social security,employment, income gap, embezzlement and corruption, deterioration of public security,etc. These had a negative effect on the economic growth. Against the background ofChina’s economic growth, we try to measure social cost of economic growth based onleast squares support vector machine (SVM) method, from the quantitative perspective.First of all, from the perspectives of social costs we discussed the performance andcharacteristics, its cause of formation and theoretical source of the gap between rich andpoor. Based on this economics analysis of the gap between rich and poor phenomenonwas made. Selected Engel’s number difference between urban and rural residentsdepartment, the Gini Coefficient, disposable income of the urban residents/net incomeof rural resident index to describe the gap between rich and poor, and took growth rateof GDP and GDP per capita constant indicators to describe the economic growth.Structure the relationship model between the gap between rich and poor and economicgrowth through the optimal parameter support vector regression model. The resultsshow that: in the early period of the gap between rich and poor, the increase of incomeinequality will promote economic growth; in the middle the incentive effect andinhibition coexisted; to a certain extent, the gap between rich and poor developmentencouraging role in inhibition poor has a negative effect to economic instability.Secondly, from the perspectives of social costs we discussed the performance andcharacteristics of corruption, probed into the its cause of formation and introduces thetheoretical origin, on the basis of that economic analysis is made about corruption.Choose corruption perceptions index, the number of graft/office staff number, graftcase/office staff number index to describe the degree of inequality, and selectedconstant rate of growth on GDP and per capita GDP indicators describing the economicgrowth. Inhibition effect of spread of corruption on economic growth is significant.Structure the relationship model between political corruption and economic growth through the optimal parameter support vector regression model. The results show that:political corruption effect on economic growth is greater than the corruption of societyas a whole; corruption spread the negative effect on economic growth with nonlinearcharacteristic; corruption was found to be inversely associated with the earlydevelopment speed and economic development and showed the nearly linearrelationship. But with the further development of corruption, its negative effects beginto present nonlinear characteristics with diminishing marginal.Again, from the perspectives of social costs we discussed the performance andcharacteristics of crime, present the causes of crime theory and explained how the crimeinhibit or promote economic growth. Selected spending of public security per capita,criminal case of registered by public security organs, suspect and crime number index inevery ten thousand people to present the crime state and growth on GDP and per capitaGDP indicators describing the economic growth. Structure the relationship modelbetween crime growth and economic growth through the optimal parameter supportvector regression model. The results show that: as to the current economic and socialsituation in China, crime growth is not conducive to economic growth. The negativeimpacts of crime on economic growth showed nonlinear characteristics; Increasingpublic safety spending per capita is helpful to weaken the adverse effect on economicgrowth; The bigger ups and downs of criminal status was, the greater the impact on theeconomy would be, and it had a multiplier effect.Finally, there was a comprehensive measure about the interaction of three kinds offactors including the gap between rich and poor, rampant corruption, crime growth oneconomic growth. Structure the relationship model between social cost and economicgrowth through the optimal parameter support vector regression model. The gapbetween rich and poor had phased characteristics on economic growth, the widening ofmodest constraint on the gap between rich and poor would be conducive to economicgrowth; Corruption and crime, with a clear inhibitory effect on economic growth andonce allowed to be developed further, would have more serious negative effect.