收入差距、投资与经济增长的面板协整研究

运用最近发展起来的面板协整技术,本文分析了中国的收入差距、投资与经济增长之间的关系。1978-2004年省际面板数据的研究结果表明,中国的城乡收入比、固定资产投资、人均实际GDP是包含单位根的非平稳变量,它们之间存在稳定的协整关系。从长期看,收入差距的拉大对经济增长有害,但投资并非是收入差距作用于经济增长的桥梁。因此,要保持经济的持续增长,必须着力解决日益恶化的收入差距问题。     

市场化程度、经济增长与行业间收入差距

文章采用2000—2011年省际面板数据,对市场化程度、经济增长与行业间收入差距间关系进行了平稳性和协整检验,发现这三者之间存在长期稳定关系。为了探究短期经济波动对长期均衡的影响,文内对面板模型进行了误差修正。实证结果显示,市场化程度对行业间收入差距有显著扩大作用,经济增长对行业间收入差距在不同地区有不同影响。市场化与经济增长交互项系数显著,说明在不同市场化程度下,经济增长对行业间收入差距影响不同。     

中国对外贸易与经济增长关系的协整分析

根据1978-2004年的年度数据,利用协整理论和Granger因果关系检验计量方法,对国民生产总值与消费、投资、出12、进12的关系进行了实证分析。研究表明,中国经济增长与消费、投资、出12、进12之间存在长期稳定的关系;消费、投资、出12明显促进了经济增长,而进12对经济增长影响并不显著,但它对出12影响显著。因些,中国经济增长是出12导向型的,同时也不能忽视进12对经济的间接作用。     

昆明市国税收入与GDP的协整和因果关系分析

经济决定税收,税收影响经济.文章采用协整分析和因果关系分析的计量方法,结合昆明市经济的具体情况,分析了昆明市国税收入与GDP的关系,得出了昆明市国税收入与GDP之间不存在长期稳定的关系即协整关系,昆明市国税收入与GDP之间不存在因果关系的结论.在分析这一结论的基础上针对昆明市国税收入和经济发展提出了相关的对策和建议.     

中国经济增长与收入差距关系的经验研究

经济增长与收入差距的关系是一个古老而又充满活力的问题。研究发现,尽管全国总量时序数据的Granger因果关系检验表明,中国的经济增长与收入差距不存在任何方向的因果关系,但以各省GDP增长率和城乡收入比为观测点的面板数据检验结果显示:不论是在短期还是在长期,收入差距的扩大都是引起经济增长的Granger原因;经济增长在短期会引起收入差距的扩大,但从长期看,有助于收入差距的缩小。     

安徽经济增长与城乡居民收入差距的动态计量分析

文章通过对安徽省在1985--2007年间人均GDP及城乡居民家庭人均收入差距的动态计量关系检验,得出以下的结论：安徽省的经济增长与城乡收入差距之间存在稳定的长期均衡关系,即二者的趋势成反向变动,而且后者变动的大约40％都可以由前者的变动来解释,但前者变动的大约95％只能由其自身的变动来解释;经济增长是城乡居民收入差距的Granger原因;通过脉冲响应分析得出两者之间越来越协调,越来越朝着持续、健康的方向发展。     

昆明市国税收入与GDP的协整和因果关系分析

经济决定税收,税收影响经济。采用协整分析和因果关系分析的计量方法,结合昆明市经济的具体情况,分析了昆明市国税收入与GDP的关系,得出了昆明市国税收入与GDP之间不存在长期稳定的关系即协整关系,昆明市国税收入与GDP之间不存在因果关系的结论。在分析这一结论的基础上针对昆明市国税收入和经济发展提出了相关的对策和建议。     

我国能源消费与经济增长的关系研究——基于协整检验和Granger因果关系检验

文章对我国1990~2015年能源消费总量和国内生产总值(GDP)的统计数据进行了协整检验和Granger因果关系检验.结果表明,我国能源消费与经济增长之间存在稳定的长期均衡关系;但是二者只存在单向的Granger因果关系,即能源消费的增长促进了经济的增长,经济的增长却没有带动能源消费的增长.     

我国区域收入差距与经济增长关系的实证研究——基于东、中、西部面板数据的协整分析

坚持区域经济协调发展,逐步缩小地区间发展差距,是提高经济落后地区居民收入水平、缩小同发达地区居民收入差距的一项长期战略。改革开放以来,从整体上说,我国各省区居民的收入和生活水平都得到了很大提高,但是由于各种原因,地区间经济发展的差距不仅存在而且有不断扩大的趋势。对我国东、中、西部地区居民收入差距与经济增长之间的关系进行研究分析,比较了三个地区居民收入差距的现状与变动趋势,分析了影响居民收入差距的主要因素以及这些因素对经济增长的影响,研究了收入差距与经济增长之间所存在的关系。     

Causality between exports,world income and economic growth in Pakistan

This paper investigates the direction of causation between GDP representing economic growth, exports and its different categories, imports and world income. After experiencing vigorous import-substitution in the past decades, Pakistan adopted an outward-looking strategy in the late 1980s with an emphasis on export promotion. A strong and stable relationship between GDP and exports and bi-directional causality between manufactured exports and GDP has been found. Export promotion policy is pursued consistently with an emphasis on manufactured exports and this is most likely to contribute adequately to economic growth in the long run.     

Do Rising Top Incomes Spur Economic Growth? Evidence From OECD Countries Based on a Novel Identification Strategy

We investigate the causal relationship between the growth rate of top income shares and economic growth in 12 OECD economies for the period 1950–2010. To analyze patterns of short- and long-run causality, we build upon recent advances in structural-vector autoregressive modeling of non-Gaussian systems. This framework allows us to discriminate between rival transmission channels by means of dependence tests, since independent shocks are unique for a particular causation pattern. We consider the share of income accruing to the top 1 percent (1), to the next 9 percent (9), and to the top decile (10). While structural models display considerable heterogeneity across countries, mean group and pooled results strongly favor a specific transmission pattern. In particular, 1 has a long-run positive impact on economic development. This result, which is also confirmed by identified impulse-response functions, is particularly evident for the post-1980 period.     

On the impact of innovation and inequality in economic growth

We present robust results on the empirical relationship among income inequality, innovation, and economic growth for a panel dataset of 74 countries over the period 1996–2014. We estimate pairwise causality tests to show that there is bidirectional causality between GDP per capita and R&D, while R&D causes the Gini index of income inequality, and it causes human capital. Allowing coefficients to be different across cross-sections of countries, we get in any case a pairwise bi-directionality. By dynamic panel data estimations, when regressing R&D on GDP per capita, we obtain a threshold value of 0.16% of R&D such that for values above it there is economic growth. While regressing R&D on the Gini index, we get a threshold of 0.10% of R&D above which, the income distribution begins to improve. Finally, we estimate a growth equation that depends on R&D, income inequality, and physical capital. We obtain two thresholds, one of 38.79 for the Gini (above which the economic growth decreases), and one of 0.06% for R&D such that above it, economic growth is rising.     

Export-led Growth in South Asia: A Panel Cointegration Analysis

Abstract

In this paper, we attempt to examine the export-led and manufacturing export-led growth hypothesis for four South Asian Countries; namely, India, Pakistan, Bangladesh and Sri Lanka, using Pedroni’s panel cointegration technique for the period 1980–2002. In this context we estimate growth accounting equations to investigate the impact of exports, manufacturing exports and other important physical and human capital variables on both total GDP and non-export GDP. The study finds long-run equilibrium relationship between GDP (and non-export GDP) and exports along with other variables supporting export-led growth hypothesis. The results also substantiate the existence of manufacturing export-led growth hypothesis. Further, we find that export, fixed capital formation, public expenditure on health and education have statistically significant coefficients re-emphasizing the importance of these variables for higher economic growth.