The Elasticity of Poverty with respect to Sectoral Growth in Africa

The African continent has grown by more than 4 percent yearly on average during the past decade. However, the link between this remarkable growth rate and poverty reduction is neither obvious nor simple. This paper focuses on the elasticity of poverty with respect to GDP growth at the sectoral level and takes into account the fact that economic growth may affect poverty directly as well as indirectly through sectoral labor share intensity. It develops a methodology that sheds light on the contribution of sectoral growth to poverty reduction country‐by‐country in Africa, guiding policy recommendations. As the composition of growth matters at least as much as its overall intensity, it is key to identify the sectors that have the strongest impact on poverty reduction and unleash their potential; if growth happens to concentrate in sectors with scarce pro‐poor potential, like commodity‐driven growth, redistributive strategies are necessary to compensate the weak effect on poverty.     

Human capital aggregation and relative wages across countries

Most of the growth accounting literature relies on an aggregate production function to determine the contribution of factors of production relative to that of total factor productivity (TFP) in explaining differences in incomes across countries. I show that the importance of TFP in accounting for cross-country income differences depends crucially on how skilled and unskilled labor are aggregated. Further, cross-country evidence on the relationship between relative wages and relative endowments of skilled and unskilled labor suggests that the two types of labor should not be aggregated into a single factor of production. Growth accounting decomposition using a commonly used nested-CES aggregate production function that allows skilled and unskilled labor to be used as separate factors of production results in a significantly greater role for TFP in accounting for income differences across countries than that found by past studies. The finding that different aggregate production functions lead to significantly different conclusions about the role of TFP in accounting for cross-country income differences calls for a more general approach to understanding such differences.     

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.     

The effects of location and sectoral components of economic growth on poverty: Evidence from Indonesia

In this paper, we investigate the relationship between economic growth and poverty reduction by differentiating growth and poverty into their sectoral composition and urban–rural location using data from Indonesia. We find that rural services growth reduces poverty in all sectors and locations. However, urban services growth has the largest effect on poverty in most sectors. Finally, we also find that rural agriculture growth strongly reduces poverty in rural areas, the largest contributor to poverty in Indonesia. This implies that while agriculture growth in rural areas still plays a major role in reducing poverty, policies that enable strong growth in the services sector in both urban and rural areas would expedite poverty reduction.     

Analyzing skilled and unskilled labor efficiencies in the US

In this paper, I analyze the time paths of the efficiencies of skilled and unskilled labor in a production framework where skilled and unskilled labor are imperfect substitutes. Their implications for economic growth and wage inequality in the US between 1950 and 2005 present two main findings. First, although skilled labor efficiency has a strong upward trend, I find no evidence of acceleration in its growth rate to support the common view that there has been an acceleration in the new skilled-biased technologies. Second, beginning around 1970, there has been a decline in the absolute level of the efficiency of unskilled labor, implying that the decline has played a significant role in the overall productivity slowdown and the substantial widening in the US wage structure.     

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.     

Wage and price differences,technology gap and labor flow dynamics

The relationship between wage difference and relative employment is a very important issue in the field of economic structural change. An M-sector economic growth model is constructed in this paper to investigate the relationship between wage difference, price difference, technology gap, relative employment and sectoral dynamic change from the perspective of technologies. Labor flow is regarded as a decision-making behavior to maximize the benefits of economic agents. The benefits of labor flow mainly come from sectoral wage difference, and the costs of labor flow mainly come from the social resource expenditure during labor flow process. Our model illustrates that: (i) the relative employment is positively correlated with the real wage difference and technology gap; (ii) the sectoral dynamic changes coexist with the aggregate economic growth; (iii) increases in technology gap, and price and wage differences will stimulate labor migration, exacerbate the unbalanced growth of sectoral economies, and lead to faster and more effective aggregate economic growth.     

Intra‐industry Trade Liberalization: Why Skilled Workers are More Likely to Support Free Trade

This paper presents a theoretical model and empirical analysis that connects the prevalence of intra‐industry trade with increased wage inequality from trade liberalization in both skilled and unskilled labor abundant countries. The Stolper–Samuelson effect is incorporated into an intra‐industry trade liberalization (intra‐ITL) hypothesis where skilled labor opposes protectionism in all countries engaged in intra‐industry trade because skilled workers gain at the expense of unskilled workers from multilateral trade liberalization within the skill‐intensive sector. We examine empirical evidence on whether skilled individuals are more supportive of trade liberalization than unskilled individuals across 31 countries with different levels of intra‐industry trade and skill endowments. We find that the extent to which countries engage in intra‐industry trade in high‐tech commodities is strongly linked with the intensity of opposition to protection by skilled labor. Regression results strongly support our hypothesis that skilled workers, almost everywhere, are more likely to support free trade.     

Inter- and intracountry effects of the Covid-19 pandemic on wages and economic growth

This paper aims to investigate the impact of the Covid-19 pandemic on technological knowledge, wage inequality, and economic growth, by proposing a Direct-Technical-Change model with two economies, an Innovative and other Follower. Six hypotheses are considered: (i) decrease in the unskilled-labor supply, (ii) decrease in the absolute advantage of unskilled labor, (iii) decrease in the intensity of the unskilled sector, (iv) hypothesis (i) combined with a lower decrease in the skilled-labor supply, (v) hypothesis (ii) combined with a lower decrease in the absolute advantage of skilled labor, (vi) all the variations previously considered. By comparing the steady states before and after the shock, we find an increase in the technological-knowledge bias that favors the skill-intensive sector, which positively affects the skill premium. However, in hypotheses (i) and (iv), the decrease in the relative supply of unskilled labor dominates the effect on the skill premium, which thus decreases. The economic growth rate is always penalized except for hypothesis (iii). Hypotheses (ii) and (iv) are undesirable because they increase wage inequality and penalize economic growth. Governments should support innovative activity, the engine of technological-knowledge progress, and thus economic growth, but with caution not to exacerbate the skill premium.     

Openness can be good for growth: The role of policy complementarities

This paper studies how the effect of trade openness on economic growth may depend on complementary reforms that help a country take advantage of international competition. This issue is illustrated with a simple Harris–Todaro model where welfare gains after trade openness depend on the degree of labor market flexibility. The paper then presents cross-country, panel-data evidence on how the growth effect of openness may depend on a variety of structural characteristics. For this purpose, the empirical section uses a non-linear growth regression specification that interacts a proxy of trade openness with proxies of educational investment, financial depth, inflation stabilization, public infrastructure, governance, labor market flexibility, ease of firm entry, and ease of firm exit. The paper concludes that the growth effects of openness may be significantly improved if certain complementary reforms are undertaken.     

集中连片特困区旅游扶贫效率与经济发展水平的时空耦合关系——以武陵山片区为例

采用SBM模型和熵权TOPSIS分别测算武陵山片区42个国家级贫困县2010—2016年旅游扶贫效率和经济发展水平;运用耦合度模型探析旅游扶贫效率与经济发展水平的时空耦合关系。结果表明:①武陵山片区旅游扶贫效率整体水平较高,在小幅度波动中稳步上升,但各国家级贫困县旅游扶贫效率差异显著。②武陵山片区经济发展水平总体呈上升趋势,但综合指数较低,经济增速缓慢,区域差异显著。③研究期内,旅游扶贫效率与经济发展水平的耦合度较高且呈持续上升态势,二者处于良性协调发展状态;旅游扶贫效率与经济发展水平呈现显著的双向正相关关系,相较于旅游扶贫效率对经济发展水平的影响程度,区域经济水平的增长对提升旅游扶贫效率作用更加明显。     

部门间生产率差距、劳动力去工业化与结构性减速

基于中国劳动力就业结构出现过快和过早去工业化的迹象，本文从部门间生产率差距的视角，利用多部门一般均衡模型、数值模拟和计量实证分析方法研究发现：（1）理论上，当服务业劳动生产率增长慢于工业，部门间生产率差距将扩大，导致劳动力去工业化速率加快；且部门间生产率差距的存在使得劳动力去工业化对经济增长产生结构性减速效应。服务业部门生产率加快提升，部门间生产率差距将会缩小，从而减缓去工业化速率和降低结构性减速压力；工业部门生产率提升尽管会扩大部门间生产率差距从而加快劳动力去工业化，但在长期中起到均匀化经济增长速率的作用。（2）利用2001—2018年中国省级和城市级面板数据的计量实证分析发现，部门间生产率差距的存在导致劳动力去工业化的效应在全时段样本下显著，但劳动力去工业化对经济增长的结构性减速效应仅在2009—2018年区间样本下显著，表明近年来中国经济增长减速与部门间生产率差距及其导致的劳动力去工业化相关。（3）赶超成功与失败国家的经验比较也表明，工业与服务业部门劳动生产率的改善与协调是跨越中等收入陷阱以及跨越后实现持续赶超的关键。     

中国扶贫资金支出结构的动态减贫效果研究

文章从理论上总结扶贫资金支出对农村贫困的减贫效果,构建扶贫资金支出与农村贫困的理论分析框架,提出扶贫资金对农村贫困发生率、农村贫困深度、农村贫困强度具有正向减贫效果的研究假设,以宏观调查数据度量我国农村贫困程度,揭示我国农村贫困的变化趋势,并运用脉冲响应函数分析方法,对扶贫资金支出结构的动态减贫效果进行了分析,结果显示:扶贫专项贷款对农村贫困发生率具有正向减贫效果;以工代赈资金对农村贫困发生率、农村贫困深度以及农村贫困强度具有正向减贫效果;扶贫发展资金对农村贫困深度具有正向减贫效果,而扶贫专项贷款对农村贫困强度的冲击则显示出负向减贫效果;扶贫发展资金对农村贫困强度具有显著负效应。据此,文章提出改善扶贫资金支出结构的相关政策建议。     

中国农村扶贫资金投入与贫困减少的经验分析

本文分别以中国官方贫困线和国际贫困线为标准,利用向量自回归模型就中国政府的农村扶贫资金投入和贫困减少的长、短期关系和Granger因果关系进行了经验研究。结果表明农村扶贫资金对农村贫困减少具有短期的促进作用,但效果不显著。从长期看扶贫资金抑制了农村贫困的减少,但这两者之间不存在Granger因果关系;经济增长与贫困之间的关系比较复杂,经济增长在减少农村贫困人口的同时,加重了贫困深度指数和贫困强度指数。因此,进一步完善农村扶贫资金运行机制、提高扶贫项目的瞄准性,对于解决中国农村贫困问题具有重大意义。     

中国农村贫困地区脱贫与经济增长要素分析

通过对河南33个经济不发达县有关数据的统计分析，可以得出资本、劳动力和土地三个投入要素对农业产出的贡献率。结合当地扶贫资金和扶贫专项贷款使用落实情况统计资料、劳动力状况和后备土地资源统计资料，我们详细分析了贫困地区这三个要素对经济增长和脱贫的作用，以及这三要素之间的相互替代关系，重点强调资本投入及资本投向对于贫困地区脱贫及经济发展的重要性。     

The interactions between national systems and sectoral patterns of innovation

Do national and sectoral innovation systems interact with each other? The paper explores this unexplored question by carrying out a cross-sector cross-country analysis of European systems of innovation in the 1990s. The empirical study takes Pavitt’s (Res Policy 13:343–373, 1984) taxonomy as a starting point, and it investigates the cross-country variability of Pavitt’s sectoral patterns of innovation. The analysis leads to three main results. First, the various technological trajectories show large differences across countries, due to the influence of national innovation systems. Second, there is evidence that the interaction between national systems and sectoral patterns of innovation constitutes an independent source of variability in the sample. Third, the analysis leads to the identification of eight sector- and country-specific technological trajectories in European manufacturing industries, and, based on that, proposes a refinement of Pavitt’s taxonomy. The refined taxonomy, in a nutshell, suggests that sectoral systems must be supported by and interact with their respective national systems in order to become industrial leaders.     

Impact of Chinese growth and trade on labor in developed countries

This paper examines the impacts of growth in China's economy and trade on the skill premium of labor in developed countries. We utilize a unique global dataset that disaggregates workers by occupations to identify impacts across labor categories with different skill sets, complementing the widely used GTAP Data Base in the CGE framework offered by the GTAP model. To study the impacts of China's fast-paced growth, we model the counterfactual, i.e., what if China grew and opened at a more modest rate; we then compare this baseline with China's actual growth. Results indicate that a strong rise in manufacturing exports from China to the US impacts output and employment in the US. The US shifts its production away from light manufacturing sectors to more service-oriented sectors that also tend to engage higher skilled labor. There is a small decrease in the real wages of unskilled labor and a rise in the real wages of skilled labor. Interestingly, not all categories of unskilled labor lose, rather those that are more directly linked with manufacturing sectors are impacted; unskilled ‘service and shop workers’ and the unskilled ‘agricultural workers, machine operators, assemblers, craft workers, and others’ observe a small decline in real wages, while the impact on unskilled ‘clerks’ is insignificant. For all categories of skilled workers, there is an increase in real wages primarily driven by the shift in production to services and high-skilled labor intensive categories, resulting in the rising skill premium. Hence disaggregating the labor data provides greater depth on the understanding of the differential impacts on domestic workers resulting from trade, and thereby guides policy on how these differential impacts can be smoothed through redistribution of benefits. Consistent with other study findings, there is a positive impact on overall growth and welfare in the US, EU and Australasia.     

Immigration, fertility, and human capital: A model of economic decline of the West

I show how the influences of unskilled immigration, differential fertility between immigrants and the local indigenous population, and incentives for investment in human capital combine to predict the decline of the West. In particular, indigenous low-skilled workers lose from unskilled immigration even if the indigenous low-skilled workers do not finance redistribution, do not compete with immigrants in the labor market, and do not compete with immigrants for publicly financed income transfers. For the economy at large, high-fertility unskilled immigrants and a low-fertility indigenous population result in economic decline through reduced human capital accumulation and reduced growth of per-capita output.     

Labor shares in the old and new EU member states - Sectoral effects and the role of relative prices

The paper studies the labor share among countries of the European Union, with a particular attention to the newer member states of Central and Eastern Europe (CEEU). We find that CEEU countries typically have lower labor shares than older EU member states, both in the aggregate and at the sectoral level. Structural change, while quite pronounced among the CEEU economies, plays only a minor role in the evolution of the labor share. The exception is agriculture, which for some countries has a sizable impact on the level and dynamics of the labor share - partly because of important measurement problems. We also find that a significant part of the difference in conventionally measured labor shares between the more developed EU countries and less developed CEEU countries can be attributed to differences in relative prices. This is consistent with a productivity-based explanation: we show that a simple, calibrated two-sector model with sectoral productivity differentials can explain 36–71% of cross-country variations in the non-agricultural labor share.     

Skill Composition,Fertility, and Economic Growth

While high fertility persists in the poorest countries and fertility declines with per capita income in developing countries, fertility and per capita income are now positively associated across most developed countries. This paper presents a model where a U‐shaped relationship between overall fertility and per capita income reflects within country differences in workforce skill composition and household choice of occupation, fertility, and childrearing. The fraction of skilled workers rises with economic growth. By allowing for both differences in the fertility of skilled and unskilled workers and purchased childrearing inputs, we explain a poverty trap with high fertility, fertility decline with economic development, and the possible reversal of fertility decline in a developed economy where most workers are skilled.