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Research On China's Pension Gap And Solution Path

Posted on:2017-05-19Degree:MasterType:Thesis
Country:ChinaCandidate:X X LiFull Text:PDF
GTID:2349330503480798Subject:Population, resource and environmental economics
Abstract/Summary:PDF Full Text Request
Twenty-first Century is the age of the population aging. By 2050, China will become one of the countries with the highest degree of the aging population in the world. By then, the rate of aging population will quickly rose to 33.9%, and the size of the elderly population will reach 4.39 billion of which the people whose age is over 80 will reach 0.98 billion. In the background of population rapidly aging and pension account long-term empty operation, it's obvious that forecasting the size of the pension gap in the future for a long period of time has very important practical significance, not only for achieving the balance of pooling account, but also for reducing the financial burden of our country.In this paper, we use the pension payments Actuarial Model to forecast the sustainable development of the pension systems in the next 15 years. The results showed that, from the perspective of the pension insurance system, considering the integrity of the current pension gap, implicit debt, the amount of "empty personal account", and the accumulated surplus of pension, that the overall pension is exist which scale is becoming larger with time goes by.For the pension payment gap and based on the balance of payments model formula, this paper proposed a series of suggestion including enlarging the pension coverage, increasing the payment rate, postponing the age of retirement and enhancing the rate of return on investment of pension. And quantitative analysis the impacts of the path selection of the pension gap. The calculation results showed that enhancing of the pension market value can relieving the pension gap which caused by the aging of the population in the long-run and the low rate of labor population.
Keywords/Search Tags:Pension gap, Pension revenue expenditure model, Rate of return on revestment
PDF Full Text Request
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