全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2017 

新常态下中国经济增长动力的阶段转换研究
Research on the Stage Transformation of China′s Economic Growth Momentum under the New Normal

DOI: 10.15896/j.xjtuskxb.201701003

Keywords: 中国经济,经济增长动力,三驾马车,双轮驱动,创新驱动
China′s economy
,economic growth momentum,trioka (three components of GDP),two-wheel driven,innovation driven

Full-Text   Cite this paper   Add to My Lib

Abstract:

在新经济形势下,中国面临着新兴与传统经济增长动力能否顺利接力的考验,因此,首先利用符号约束的FAVAR模型提取经济增长不可观测动力因子,基于关联性分析“三驾马车”对传统经济增长动力、“双轮驱动”对新兴经济增长动力的表征程度,并通过横向比较判断中国经济是否已完成新兴与传统经济增长动力的阶段转换。研究发现,“双轮驱动”的拉动作用较强但仍弱于传统的“三驾马车”,即中国尚处在新兴与传统增长动力的转换阶段,需要宽松经济政策为中国经济托底。
In the new economic situation, China is facing emerging and traditional economic growth momentum smooth relay test. In this case, firstly, the FAVAR model of sign restriction is used to extract the non-observable dynamic factors of economic growth. Second, based on correlation analysis of trioka in the representation of the power of traditional economic growth and "two-wheel driven" in the representation of the power of emerging economic growth, through the horizontal comparison, this paper determines whether the Chinese economy has completed the stage transformation of the traditional and emerging economic growth momentum. The study found that "2-wheel-driven " has strong pulling effect but is still weaker than the traditional "3-carriage-driven", that is, China is still in the emerging and traditional growth momentum of the conversion phase, and it needs loose economic policy to underpin Chinese economy

References

[1]  [16]程郁,陈雪. 创新驱动的经济增长――高新区全要素生产率增长的分解[J].中国软科学,2013 (11):26-39.
[2]  [27]BERNANKE B S, BOIVIN J, ELIASZ P. Measuring the effects of monetary policy:a factor-augmented vector autoregressive (FAVAR) approach[J]. Quarterly Journal of Economic, 2005, 120:387-422.
[3]  [30]EICHENBAUM M. Comments on "Interpreting the macroeconomic time series facts:The effects of monetary policy" by Christopher Sims[J]. European Economic Reviews, 1992, 36(1):1001-1011.,资本形成与经济增长[D]. 合肥:安徽大学, 2011.
[4]  [13]辜胜阻, 刘江日. 城镇化要从“要素驱动”走向“创新驱动”[J].人口研究,2012(6):3-12.
[5]  [14]张军扩, 余斌, 吴振宇. 增长阶段转换的成因,挑战和对策[J].管理世界,2014 (12):12-20.
[6]  [17]何小钢, 张宁. 中国经济增长转型动力之谜:技术,效率还是要素成本[J]. 世界经济, 2015 (1):25-52.
[7]  [18]张岭,张胜. 创新驱动发展战略的金融支持体系[J]. 西安交通大学学报(社会科学版),2015(6):24-29.
[8]  [19]云鹤,胡剑锋,吕品. 金融效率与经济增长[J]. 经济学(季刊), 2012(1):595-612.
[9]  [20]BLANCHARD O J. A traditional interpretation of macroeconomic fluctuations[J]. The American Economic Review, 1989, 79(5):1146-1164.
[10]  [21]UHLIG H. What are the effects of monetary policy on output? Results from an agnostic identification procedure[J]. Journal of Monetary Economics, 2005, 52(2):381-419.
[11]  [22]蔡?P. 人口转变,人口红利与刘易斯转折点[J]. 经济研究, 2010(4):4-13.
[12]  [23]钱良信. 金融发展[24]MERTON R C,BODIE Z A. Conceptual Framework for Analyzing the Financial Environment[M]//CRANE D B,FROOT K A,MASON S P,et al.The Global Financial System:A Functional Perspective.Boston:Harvard Business School Press,1995:3-31.
[13]  [1]涂正革, 谌仁俊. “三驾马车”的协整分析[J].山东经济, 2011 (3):33-40.
[14]  [2]王春雷, 黄素心. 三驾马车的拉动作用及扩大内需的政策选择[J].统计与决策, 2010(18):119-121.
[15]  [3]沈利生. “三驾马车”的拉动作用评估[J].数量经济技术经济研究, 2009(4):139-151.
[16]  [4]郭庆旺, 赵志耘. 中国经济增长“三驾马车”失衡悖论[J].财经问题研究, 2014 (9):3-18.
[17]  [5]刘遵义. 非竞争型投入占用产出模型及其应用――中美贸易顺差透视[J].中国社会科学(英文版),2010 (1):35-54.
[18]  [6]李占风, 袁知英. 我国消费,投资,净出口与经济增长[J].统计研究, 2009(2):39-42.
[19]  [7]潘明清, 张俊英. 消费,投资及出口需求对中国经济增长的动态冲击效应研究[J].消费经济, 2010 (4):6-9.
[20]  [8]AHMAD J, HARNHIRUN S. Unit roots and cointegration in estimating causality between exports and economic growth:empirical evidence from the ASEAN countries[J]. Economics Letters, 1995, 49(3):329-334.
[21]  [9]刘瑞翔, 安同良. 中国经济增长的动力来源与转换展望[J].经济研究,2011(7):30-41.
[22]  [10]贾康, 苏京春. “三驾马车”认知框架需对接供给侧的结构性动力机制构建――关于宏观经济学的深化探讨[J].全球化,2015 (3):63-69.
[23]  [11]孙才仁, 宋志红, 孙婧. 论驱动经济转型发展的“新三驾马车”[J].证券市场导报,2013(3):5.
[24]  [12]杨万平, 杜行. 中国经济增长源泉:要素投入,效率提升还是生态损耗?[J].西安交通大学学报(社会科学版), 2015(4):23-31.
[25]  [15]武鹏. 改革以来中国经济增长的动力转换[J].中国工业经济, 2013 (2):5-17.
[26]  [25]BECK T, LEVINE R, LOAYZA N. Finance and the Sources of Growth[J]. Journal of financial economics, 2000, 58(1):261-300.
[27]  [26]GEWEKE J. The Dynamic Factor Analysis of Economic Time Series[M]. Amsterdam:North-Holland, 1977.
[28]  [28]STOCK J H, WATSON M W. Implications of dynamic factor models for VAR analysis[R]. National Bureau of Economic Research, 2005.
[29]  [29]STOCK J H, WATSON M W. Dynamic factor models[J]. Oxford Handbook of Economic Forecasting, 2011, 1:35-59.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133