The impact of financial development,income, energy and trade on carbon emissions: Evidence from the Indian economy

This paper examines the long-run equilibrium and the existence and direction of a causal relationship between carbon emissions, financial development, economic growth, energy consumption and trade openness for India. Our main contribution to the literature on Indian studies lies in the investigation of the causes of carbon emissions by taking into account the role of financial development and using single country data. The results suggest that there is evidence on the long-run and causal relationships between carbon emissions, financial development, income, energy use and trade openness. Financial development has a long-run positive impact on carbon emissions, implying that financial development improves environmental degradation. Moreover, Granger causality test indicates a long-run unidirectional causality running from financial development to carbon emissions and energy use. The evidence suggests that financial system should take into account the environment aspect in their current operations. The results of this study may be of great importance for policy and decision-makers in order to develop energy policies for India that contribute to the curbing of carbon emissions while preserving economic growth.     

Human capital and income inequality in India: is there a non-linear and asymmetric relationship?

The article attempts to provide empirical evidence on the relationship between human capital and income inequality in India in a non-linear and asymmetric framework. To capture both long-run and short-run asymmetries, we have employed the non-linear autoregressive distributed lag approach using the relevant data from 1970 to 2016. Findings of the article suggest that education expansion acts as a major factor in reducing prevailing high income inequality, that is an increase in average years of schooling results in more equal distribution of income. In contrast, high economic growth, inflation and trade openness create unequal distribution of income. The asymmetric causality test results indicate that there is unidirectional causality running from female human capital, economic growth and inflation to income inequality. From a policy perspective, we suggest that education expansion should be used as a powerful tool to mitigate income inequality by emphasizing the quality of education. At the same time, policies geared towards social benefits, inclusive education, training for unskilled workers and price stability should be encouraged to attain fair income distribution in India.     

A re-examination of financial development,stock markets development and economic growth

This study provides new evidence on the role of financial development and stock market development in accounting for economic growth across geographic regions and income groups. To derive feasible policy implications, we estimate not only unbalanced panel regressions with period fixed effects, but also variance decompositions of annual Gross Domestic Product (GDP) growth rates to examine what proxy measures are most important in economic growth over time and how much they contribute to economic growth. We find distinct direction, timing and strength of the causal links between financial development, stock market development and economic growth based on the results of Granger causality tests. Therefore, it may be necessary to make different efforts to achieve steady economic growth across geographic regions and income groups.     

中国金融发展与收入分配、贫困关系的经验分析——基于动态面板数据的研究

本文利用2001—2007年中国省际面板数据,运用系统的广义矩(GMM)估计方法,研究金融发展对收入分配和贫困的影响。结果发现,中国的金融发展更有利于贫困家庭收入水平的提高,减少收入分配不平等。贫困家庭的收入增长大约有31%可以归因于金融发展的收入分配效应,而剩下的69%是由于金融发展的增长效应所致。另外,没有证据表明金融发展与收入分配存在倒U型关系。在非农产业比重高的省份,金融发展会加剧贫富差距。     

Is globalization detrimental to financial development? Further evidence from a very large emerging economy with significant orientation towards policies

This study attempts to explore the relationship between globalization and financial development by endogenizing economic growth, population density, inflation and institutional quality for India during the period from 1971–2013. Using the more conclusivecombined cointegration method, the study provides evidence of cointegration among these variables. The long-run and short-run estimates from the ARDL model and causality tests, respectively, suggest that globalization in its all forms (political, social and economic) and its overall measure as well as inflation are detrimental to financial development, while economic growth and population density both promote financial development. Furthermore, the results also point out that institutional quality is not conducive to financial development in India, and there exists a feedback effect between financial development and inflation. Moreover, financial development is influenced by economic growth, institutional quality and population density.     

Growth,inequality, and poverty reduction in developing countries: Recent global evidence

The study presents comparative global evidence on the transformation of economic growth to poverty reduction in developing countries, with emphasis on the role of income inequality. The focus is on the period since the early-mid-1990s when growth in these countries as a group has been relatively strong, surpassing that of the advanced economies. Both regional and country-specific data are analyzed for the $1.25 and $2.50-level poverty headcount ratios using World Bank Povcalnet data. The study finds that on average income growth has been the major driving force behind both the declines and increases in poverty. The study, however, documents substantial regional and country differences that are masked by this ‘average’ dominant-growth story. While in the majority of countries, growth was the major factor behind falling or increasing poverty, inequality, nevertheless, played the crucial role in poverty behavior in a large number of countries. And, even in those countries where growth has been the main driver of poverty-reduction, further progress could have occurred under relatively favorable income distribution. For more efficient policymaking, therefore, idiosyncratic attributes of countries should be emphasized. In general, high initial levels of inequality limit the effectiveness of growth in reducing poverty while growing inequality increases poverty directly for a given level of growth. It would seem judicious, therefore, to accord special attention to reducing inequality in certain countries where income distribution is especially unfavorable. Unfortunately, the present study also points to the limited effects of growth and inequality-reducing policies in low-income countries.     

GROWTH, POVERTY, AND INEQUALITY IN LATIN AMERICA: A CAUSAL ANALYSIS, 1970–94

Taking advantage of consistent poverty and income inequality data for 12 Latin American countries between 1970 and 1994, we analyze the determinants of changes in the incidence of urban and rural poverty and in Gini coefficients over spells of years, stressing in particular the role of aggregate income growth. We find that income growth reduces urban and rural poverty but not inequality. We also find that income growth is more effective in reducing urban poverty if the levels of inequality and poverty are lower, and the levels of secondary education higher. We show that there is an asymmetry in the impact of growth on poverty and inequality, with recession having strong negative effects on both poverty and inequality. Since growth does not reduce inequality, economic cycles create ratchet effects on the level of inequality. However, post-structural adjustment growth is quite effective at reducing poverty, particularly if inequality is low.     

Linkages between poverty and income inequality of urban–rural sector: a time series analysis of India’s urban-based aspirations from 1951 to 1994

This study examines the impact of urban and rural development on poverty and inequality in India before economic reform. The methodology comprises two dimensions. Modern time series methods are used to uncover the dynamic patterns of urban–rural poverty and income inequality. A machine-learning algorithm is used to determine the causal structure among the development indicators. Our results show that reductions in rural poverty appear to be a more effective in reducing both urban and rural poverty, although the costs of achieving these reductions have not been considered.     

The effects of fragility and financial inequalities on inclusive growth in African countries

Africa has the largest number and proportion of fragile states in the world. Fragile states are characterized by slower economic growth, higher incidences of poverty, and persistent inequality. Thus, there is a circular relationship between fragility, inequality, and slow economic growth. This study examines the relationship between fragility, financial inequalities, and inclusive growth in African countries. We introduce a novel way of examining inclusive growth in African countries by developing a unified measure of inclusive growth that captures the two dimensions of inclusive growth: income growth and income distribution. This enables us to adequately assess not just increased opportunities arising from economic growth, but also see how those new opportunities are distributed across all segments of the population. We captured the fragile status of African countries by using an index of fragility. We measured financial inequalities using new data on financial inclusion. The data analysis suggested negative relationships between fragility and inclusive growth in African countries. In addition, the results suggest positive relationships between financial inclusion and inclusive growth. Thus, inclusive growth can be fostered through policies that reduce financial inequalities. Therefore, a less fragile environment is conducive to inclusive growth both directly and indirectly through financial inclusion.     

收入不平等与经济增长：移动的库兹涅茨曲线*——新时期收入分配改革的思路与意义

准确判断收入不平等对经济增长的影响，对于客观评价中国各个阶段的收入分配制度改革尤为重要。本文在统一增长理论的框架下引入收入不平等因素，构建了一个人口数量、不平等和经济增长同时内生的理论模型，并利用CGSS数据构造收入不平等指标，使用中国省际非平衡面板数据进行经验检验。研究发现：收入不平等与经济增长之间呈现倒U型关系。更重要的是，随着经济发展水平的提高，倒U型曲线将逐渐向左移动，即最优的收入不平等程度随着经济发展水平的提高而逐渐降低。这一发现意味着改革开放以来，中国各个时期的收入分配制度改革均是在特定历史条件下的最优选择。本文的结论具有深刻的政策含义：为了提高经济增长率，需要进一步巩固“脱贫攻坚”成果，逐渐加大收入分配调节力度，使收入分配制度改革紧跟经济发展的步伐，根据经济发展水平不断缩小收入不平等程度。     

我国收入不平等、金融发展和消费需求波动的实证研究:1978～2001

本文考察了收入不平等与总消费需求变动之间的联系,在高收入地区,不平等程度越大似乎消费需求波动越大,而在低收入地区,收入不平等越大,消费需求波动反而较小。本文找到证据表明金融发展水平能有助于解释为什么收入分配在高收入和低收入地区中影响消费需求的短期波动是不同的,本文的政策含义是,加快低收入地区如中西部的经济和金融发展步伐,加大金融发展相机调整的力度。     

经济增长、收入差距与农村贫困

我国经济转型过程中同时发生的居民收入增长和收入差距扩大对农村贫困减缓具有不同的影响。本文在住户调查数据的基础上,讨论了不同时期经济增长和收入差距对于农村贫困减缓的作用大小,估算了不同年份经济增长和收入差距的贫困减缓弹性,并根据Shapley分解讨论了分项收入对贫困程度的影响以及分项收入不均等性的贫困减缓弹性。     

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。     

经济增长、收入分配与贫困规模变动相关性研究--来自北京市城市居民的经验数据

文章详细讨论了经济增长、不平等与贫困规模变动的相互关系,在确立三者关系基本框架的基础上,构造了应用Lorenz曲线及其相应弹性分析三者关系的理论模型,并提出了亲贫困增长指数的概念。在对北京城市居民的经验数据进行分析的基础之上得到的结论是:政府制定扶贫政策的选择应该使收入增长效应与收入不平等效应之和最大化,这为制定扶贫政策提供了决策依据。     

Disentangling the Poverty Effects of Sectoral Output,Prices, and Policies in India

This paper attempts to disentangle the poverty effects of key policy variables that directly affect the poor (namely the government‐led channel of development spending and financing) in both agricultural and non‐agricultural sectors after accounting for the effect of respective sectoral per capita income and prices, using data from India over five decades. The paper emphasizes the sectoral composition of income and prices as mechanisms influencing the level of poverty and establishes empirically that it is the rise in non‐agricultural per capita income that reduces rural poverty via the channel of internal migration, after having controlled for the variation in key components of fiscal spending and monetary/financial policy via the availability of credit. Uneven sectoral growth pattern explains why urban poverty becomes a spill‐over of persistent rural poverty when the agricultural sector shrinks. While checking for robustness, there is evidence that the rise in non‐agricultural income alone may not reduce rural poverty, when measured in terms of rural infant mortality rate as a non‐income indicator of well‐being.     

The causal relationship between financial development and economic growth in Africa

ABSTRACT

Previous empirical studies on the causal relationship between financial development and economic growth are not instructive given their failure to unearth the causality trend across the different time periods. Using a more recently developed and robust indicator of financial development, we revisit the causal relationship between financial development and economic growth within the framework of a frequency-domain spectral causality technique which allows the causality to vary across time. Using data from 47 African countries over the period 1980–2016, our findings largely suggest that, even though there is some evidence of demand-following, supply-leading and feedback hypotheses, for most part, we find strong support of neutrality hypothesis. Thus, financial development and economic growth at most frequency levels evolve independently. We infer that caution must be exercised in making general conclusions about the causal nexus between financial development and economic growth.     

SMEs,Growth, and Poverty: Cross-Country Evidence

This paper explores the relationship between the relative size of the Small and Medium Enterprise (SME) sector, economic growth, and poverty alleviation using a new database on the share of SME labor in the total manufacturing labor force. Using a sample of 45 countries, we find a strong, positive association between the importance of SMEs and GDP per capita growth. The data do not, however, confidently support the conclusions that SMEs exert a causal impact on growth. Furthermore, we find no evidence that SMEs alleviate poverty or decrease income inequality.     

Finance,inequality and the poor

Financial development disproportionately boosts incomes of the poorest quintile and reduces income inequality. About 40% of the long-run impact of financial development on the income growth of the poorest quintile is the result of reductions in income inequality, while 60% is due to the impact of financial development on aggregate economic growth. Furthermore, financial development is associated with a drop in the fraction of the population living on less than $ 1 a day, a result which holds when conditioning on average growth. These findings emphasize the importance of the financial system for the poor.      

Short-term trends in China’s income inequality and poverty: evidence from a longitudinal household survey

In the past three decades, income inequality in China has increased rapidly relative to both China’s own past and other countries at similar levels of economic development. Using recent longitudinal data from the China Family Panel Studies (CFPS), this article examines changes in income inequality and poverty prevalence between 2010 and 2012. Surprisingly, we find a modest decline in income inequality as measured by the Gini coefficients in the CFPS data. The urban–rural gap narrowed, with rural families enjoying faster income growth than urban families enjoyed. Income growth was greater for middle-income families than for families with either high or low incomes in 2010. By all measures, poverty was greatly reduced between 2010 and 2012. Two-thirds of families that had been poor in 2010 escaped poverty by 2012.     

我国收入差距与经济增长的面板协整与因果关系研究

笔者运用最近发展起来的面板协整技术,分析了我国收入差距与经济增长的关系。研究结果表明,全国以及东中西部的收入差距与经济增长之间存在长期的稳定关系;尽管对于全国和东部地区,收入差距和经济增长的因果关系并不明显,但对于中部和西部,收入差距和经济增长之间存在长期和短期的因果关系。