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ID:12185165
大小:149.00 KB
页数:17页
时间:2018-07-16
《影响我国居民消费主要因素的实证分析》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、影响我国居民消费主要因素的实证分析影响我国居民消费主要因素的实证分析2007级经济学本科赵征摘要:居民消费是我国经济增长的重要制约因素,“十二五”规划明确指出,今后五年,我国要“坚持扩大内需特别是消费需求的战略”、“进一步释放城乡居民消费潜力”。因此,促进我国经济增长,关键是要提高居民消费。本文首先分析了改革开放以来我国居民的消费现状,然后通过理论和实证分析找出影响我国居民消费的主要因素,最后针对上述影响因素提出相应的政策建议。关键词:居民消费;影响因素;收入差距TheEmpiricalAnalysisoftheMainfact
2、orsWhichAffecttheHouseholdConsumptioninChinaAbstract:InChina,householdconsumptionpalysanimportantpartineconomicgrowth.The12thfive-yearplanemphasizesthatweshouldcontinuetopursuethestrategyofboostingdomesticdemand,especiallytoenlargetheconsumerspendinginthenextfiveyear
3、s.Therefore,thekeytoboostingeconomicgrowthistoraisethehouseholdconsumption.Fisrtweanalyzedthesituationofthehouseholdconsumptionsincetheopening-upin1978.Next,bysometheoreticalandempiricalanalyses,wefoundsomeimportantfactorswhichaffectthehouseholdconsumptioninChina.Int
4、hefinalpart,weproposedsomepolicysuggestionsonhowtoimprovethehouseholdconsumptioninChina.Keywords:householdconsumption;factors;incomegapI目录一、改革开放以来我国居民的消费现状.................................................................3(一)1978—2009年我国居民消费率持续走低......................
5、...........................3(二)1990年以来我国城乡居民消费差距逐年扩大.........................................2(三)我国居民消费率明显低于同等发展程度国家的水平...............................3二、影响我国居民消费的主要因素.........................................................................6(一)理论假定....................
6、................................................................................61.变量的选择...................................................................................................62.变量假定.........................................................................
7、..............................6(二)实证分析....................................................................................................81.模型的建立.....................................................................................................82.样本选取、数据来源与处理.....
8、.....................................................................53.计量模型的面板数据分析................................................
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