New evidence about regional income divergence in China

There are many empirical studies trying to test if there is income convergence across the provinces of China. In this paper, we bring new information to the current literature by applying non-linear panel unit root test of Exponential Smooth Auto-Regressive Augmented Dickey-Fuller (ESTAR-ADF) unit root test developed by Cerrato et al. (2008) to the time series data for the period 1952–2003. The number of converging provinces decreases in the post-reform period when using panel ESTAR-ADF test. Furthermore, our results find evidence of increasing regional disparity that has been prevailing in China since the open door economic reforms of the late 1970s, which confirms the view of Pedroni and Yao (2006) that interprovincial inequalities have been widening since 1978.In addition, we also examine the determinants of conditional convergence in China. The results indicate that low inflation, transport and telecommunication infrastructure, and trade openness could stimulate economic growth in China. Human capital also play a significant role in growth, and it exhibits non-linearity between human capital and growth in the sense that at low levels of human capital the effect on growth is negative and became positive at middle levels.     

Opening up,Market Reform,and Convergence Clubs in China*

This paper evaluates the relationship between initial government policies and the emergence of convergence clubs in post‐reform China. We test the structural stability of a global convergence equation using China's provincial data over the period 1985–2000. We find that the provinces cluster around two basins of attraction defined by initial opening‐up. Domestic market reform exerts a positive and significant influence on provincial economic growth but has no threshold effect. The two convergence clubs exhibit strikingly different growth behaviors, suggesting that the roles of some growth‐promoting factors, such as human capital and infrastructure, depend on whether an openness threshold is passed.     

Classification of Growth Clubs and Convergence： Evidence from Panel Data in China, 1981-2004

This paper uses provincial panel data to examine club convergence in China during 1981–2004. We estimate the province‐specific initial technology level, A(0), and classify the Chinese economy into “developed club” and “underdeveloped club” based on the economic characteristics of A(0), instead of on geographical location. We find significant evidence of conditional convergence across provinces, and that the convergence speed in the developed club is faster than that in the underdeveloped club. We also find that: (i) human capital accumulation contributes more than physical capital does to club convergence; (ii) there is a positive correlation between infrastructure and growth convergence at the national level and within the developed club, while the spillover effect of infrastructure has not been developed in the developing club; and (iii) the effect of economic openness on convergence is tiny, and insignificant across and within clubs.     

Industrial Productivity Convergence in China

This paper examines the convergence process of industrial productivity between Chinese regions. Both σ- and β-convergences are investigated using a panel data set of 30 provinces and autonomous regions over the period 1985–1999. Unconditional σ- and β-convergence methods fail to detect productivity convergence over the whole sample period, although they suggest convergence during a sub-period 1985–1990. The estimates of a human capital enhanced production function, with the constant return to scale constraint, show that productivity gaps between Chinese regions declined during 1985–1999 with a rate of convergence of around 1.3% per annum. Similar results are also found when the data are disaggregated into three broader geographic regions.     

Human capital quality and the regional economic growth: Evidence from China

China's economic development has advanced from a high-speed to a high-quality growth stage in recent years. The optimization and upgrading of the economic structure require high-quality human capital to support an innovation-driven economy. In this paper, a general equilibrium model of human capital (Xiang & Yeaple, 2018) is applied to estimate the cognitive and non-cognitive productivities based on Chinese provincial-level macro-data and individual labor's micro-data from 2008 to 2017. The weighted power mean of cognitive and non-cognitive productivities helps calculate the provincial-level human capital quality index (HCQI), which provides a realistic estimate of human capital quality. We find that the improvement of the HCQI leads to convergence in economic growth in China's provinces. HCQI can help explain the differences in economic growth levels in different regions of China. Our study provides a constructive step in understanding cognitive and non-cognitive abilities and HCQI in China, which could help guide education investment policy in China and its provinces.     

Human capital estimates in China: New panel data 1985–2010

We introduce new provincial level panel data on human capital in China from 1985 to 2010. Our estimation of human capital is based on the Jorgenson–Fraumeni lifetime income approach modified to fit the Chinese data, thereby allowing a more comprehensive measurement of human capital than traditional partial measurements, such as education. Our provincial data are adjusted for purchasing power parity via a living-cost index as well as for real values so that all values are comparable across the provinces and time. We discuss various characteristics of the data, including total human capital, per capita human capital, and labor force human capital, which in turn are disaggregated based on gender and urban or rural location. Our human capital estimates are compared with the provincial physical capital estimates and provincial GDP. As an illustration, we also use the data to estimate a production function and to decompose China's economic growth from physical capital, human capital, and TFP. Our results, compared with those that use traditional specifications, reassure us as to the reliability of our new China human capital data.     

THE ROLE OF HUMAN CAPITAL IN CHINA'S TOTAL FACTOR PRODUCTIVITY GROWTH: A CROSS‐PROVINCE ANALYSIS

This paper studies the role of human capital in China's provincial total factor productivity (TFP) growth over 1985–2004. The stochastic frontier approach is employed to measure the productivity growth of Chinese provinces. Human capital is measured both qualitatively and quantitatively. In particular, enrolment rates at various levels of schooling are used to represent human capital composition. After controlling for endogeneity, we find that human capital has significant and positive effects on the TFP growth of Chinese provinces. However, when education quality is incorporated, productivity growth appears to be significantly enhanced by quality improvements in primary education only. Regional impacts of human capital are found to differ at various levels of schooling. In the eastern region of China, productivity growth is significantly associated with secondary education. TFP growth in the central region is mainly promoted by primary and university education. Yet in the western region, primary education plays the most prominent role.     

The relative contributions of location and preferential policies in China's regional development: being in the right place and having the right incentives

A large part of the literature on provincial inequality in China has found it necessary to include regional dummies in the provincial growth regressions. A smaller but vocal part of the literature has emphasised the granting of preferential policies to explain the faster growth of the coastal provinces. We replace the regional dummies with a measure of the ability to participate in international trade (Geography), and a preferential policy index (Policy). We find that geography and policy had about equal influence on coastal growth (3 percentage points each). Geography affected growth with a much longer lag than policy, however. The policy index was highest for the metropolises (Beijing, Shanghai, and Tianjin) and lowest for the central and northwestern provinces. The preferential policies are to a large extent “deregulation policies” that enabled marketization and internationalization of the coastal economies and allowed them to become more like their East Asian neighbours (and competitors). The weak (statistically insignificant) support for conditional convergence is in line with the existence of institutions that retard the income convergence process generated by the movement of labor and capital and by the Stolper–Samuelson mechanism. The household registration system ties the peasants to the land, the monopoly state bank system favors borrowing by state enterprises, and local protectionism reduces inter-provincial trade. Clearly, these institutions need to be deregulated. An effective strategy to develop the western provinces must therefore encompass physical capital formation, human capital formation, and institutional capital formation.     

南北经济收敛性与共同富裕

区域经济收敛有利于协调区域发展,从而有助于实现我国共同富裕的奋斗目标。然而我国幅员辽阔,区域经济差距由来已久。当下,从GDP总量的角度来看,我国区域经济格局呈南北经济差距扩大的态势。文章利用我国284个地级市文章中的284个地级市还包括4个直辖市。2000—2019年面板数据,探析了南北经济差距演变情况。首先,基于σ收敛和dagum基尼系数分析了人均实际GDP演变特征;其次,构建β收敛模型分析了南北经济收敛性,并考察了人力资本、物质资本、技术水平、对外开放和财政支出对南北经济收敛的影响;最后,文章从共同富裕的视角,对我国西南、西北和东北地区与其他地区的经济收敛性进行探讨。研究发现:(1)南北区域经济存在显著的俱乐部效应,南方内部经济由收敛演变为不具有显著收敛特征,而北方内部经济差距均呈收敛趋势;(2)适度的人力资本的流动不会导致经济发散,物质资本总体上延缓区域经济收敛速度,财政支出对区域经济收敛的作用有限,而技术水平和对外开放对经济收敛速度的影响不稳定;(3)从实现共同富裕的总体目标来看,西北地区的经济表现与其他地区存在显著差异,东北和西南的小部分区域也需要引起一定的重视。对此文章提出合理化建议,以期更好实现共同富裕目标。     

中国西部地区经济增长源泉——基于人力资本与能源消费的双重约束

文章以中国经济发展相对落后的西部地区为研究对象,运用DEA方法将考虑人力资本与能源消费的经济增长分解为人力资本、复合物质资本、效率改善和技术进步四部分,探寻其经济增长的源泉,并对西部大开发前后进行了比较研究。发现以人力资本、物质资本和能源消费为代表的要素投入和以技术进步、效率提高为代表的全要素生产率对经济增长的推动作用几乎相等;但在西部大开发以后,以技术进步、效率提高为代表的全要素生产率对经济增长的推动作用呈现逐年上升的良好趋势。采用绝对收敛方程考察了中国西部地区经济增长与四类因素的收敛效应,发现中国西部地区出现了显著地经济收敛,而这种结果是技术效率、技术进步和物质资本积累的共同结果。采用Tobit模型深入分析了能源投入和人力资本对经济增长约束的传导机制,结果表明,中国西部地区经济增长可持续发展的重要源泉和动力在于转变经济增长方式。     

人力资本对我国对外直接投资逆向技术溢出效应的影响——基于省际面板数据的非线性门槛回归技术

本文使用中国30个省份2003-2008年的面板数据,研究了不同人力资本水平下对外直接投资的逆向技术溢出对各地区全要素生产率的影响。实证结果说明:它们之间存在显著的人力资本双门槛效应。只有在人力资本跨越了10.5038这一门槛时对外直接投资逆向技术溢出效应才显著存在,未跨越这一门槛值的省份,人力资本对对外直接投资逆向技术溢出效应的吸收有负面影响;而人力资本跨越50.4804的少数省份,对外直接投资渠道的逆向技术溢出对全要素生产率的正面影响略低。     

Disparity in factor contributions between coastal and inner provinces in post-reform China

The paper discusses China's post-reform regional economic growth imbalance relative to input disparity in technology, physical and human capital. Financial sources and types of ownership are used to construct physical capital. Technology is measured by innovation investment, and human capital is constructed from schooling years per capita. The results show that domestic bank loans and foreign-owned enterprises are important in coastal provinces, while state appropriation and state-owned enterprises are important in inner provinces. Technology and foreign investment have a larger impact on output growth in coastal provinces. Human capital is endogenous for coastal provinces, but is exogenous for inner provinces.     

河北省人力资本投资效率研究

利用全国30个省市的人力资本投资数据,采用DEA模型选取5个投入指标和3个产出指标,对河北省的人力资本投资效率进行研究.结果显示,河北省的人力资本投资综合效率和技术效率在全国同期水平中偏低,但规模效率略高于全国平均水平,主要是由于技术效率的偏低引起的综合效率较低,最后通过分析冗余值提出提高河北省人力资本投资效率的建议.     

Growth Accounting for the Chinese Provinces 1990–2000: Incorporating Human Capital Accumulation

This paper examines the linkage between aggregate real output, capital, labour, education, and productivity within a growth accounting framework for 27 Chinese provinces between 1990 and 2000. The results suggest that human capital has had a significant role in facilitating economic growth of all of the provinces throughout the 1990s. Regional disparities in factor accumulation are also considered. The results suggest that uneven distribution of resources between the coastal and inland provinces increased the regional gap in economic growth throughout the 1990s.     

Savings,investment, and capital mobility within China

This paper addresses the capital mobility among regions within China. Using a range of panel estimators which deals with the non-stationarity of time series components, individual heterogeneity and common unobserved factors, we show that the savings and investment (both expressed as ratios to GDP) are positively correlated for a sample of 28 Chinese provinces over the period of 1978 to 2006. According to the Feldstein-Horioka's argument (1980, Economic Journal (90), pp.314–329), such a correlation can be interpreted as evidence of low capital mobility. In addition, by means of Granger causality test, we fail to provide consistent evidence to support the hypothesis of efficient capital allocation in China. Combining the results given above, it is believed that the capital may be inefficiently retained within the provincial confines. We conjecture that the intermarriage between financial power and local authorities is primarily responsible for this worrying phenomenon.     

Measures of human capital and the mechanics of economic growth

We examine the mechanism by which human capital affects economic growth and convergence, using provincial level panel data from China. We specify alternative measures of human capital and apply them to an enhanced growth model, which we estimate parametrically, nonparametrically, and with a threshold model. Our results show that economic convergence is pronouncedly conditional on human capital across all measures. The positive “benefit of being backward” due to lower initial income is almost trumped by the negative impact of low levels of human capital in the poorest areas.     

Key Factors of Recent Chinese Provincial Economic Growth

The aim of this paper is to analyse the factors that affected Chinese provincial economic growth after the reforms of the early 1980s, through a panel analysis (period 1986–2001). The production function approach focuses on human capital, ‘space-serving’ infrastructure, sectoral allocation of labour and institutional changes. Indices relevant for the analysis are elaborated and provincial capital stocks are estimated. The empirical results indicate the positive role of capital stock, human capital and physical infrastructure and underline that sectoral allocation of labour and institutional changes affected the level of aggregate output. A redistribution policy in favour of the inland provinces needs to be implemented so that human capital and infrastructure can be enhanced, bottlenecks can be overcome and investment can be attracted.     

中国区域经济收敛与地区差距的再检验

本文首先收集1985—2006年中国28个省市数据验证中国区域经济增长的条件β收敛和绝对β收敛,然后运用Blinder—Oaxaca分解方法来分析造成我国东部地区与中西部地区发展差距的原因。实证结果显示,我国自1985年来区域经济增长没有表现出收敛性。当我们将全国划分为东部地区和中西部地区后,我们发现东部地区经济增长收敛,而中西部地区经济增长不收敛。Blinder—Oaxaca分解结果显示,中西部地区与东部地区经济发展差距扩大的最主要原因是中西部地区实物资本投资不足。随着改革开放的深入,外商直接投资和开放程度在地区差距中发挥的作用越来越大,而教育和地理位置的优惠政策的作用则越来越小。     

Openness,human capital and total factor productivity: evidence from China

This paper examines the drivers behind China's economic growth. In particular, it focuses on the channels of knowledge spillovers: human capital and openness to trade and foreign direct investment. The specific features of the study include using the most recent comprehensive panel data consisting of 29 provinces during the period 1994–2006 and performing unit root and cointegration tests in the panel data framework. The paper finds that human capital, trade and FDI are the significant determinants of total factor productivity, but their importance varies with technological levels of provinces. These findings have important policy implications.     

Spatial spillover and regional economic growth in China

This paper investigates the spatial structure of the provincial economic growth and the spatial spillover in China from 1998 to 2008. First, we apply Moran's index to detect the positive spatial autocorrelations across the provinces of China. Second, we build a new economic geography model and the role of market potential in promoting regional income growth is highlighted. Third, two measures of market potential are constructed and a spatial error model is adopted to obtain the estimations, considering spatial autocorrelation. Controlling for major inputs, such as labor, capital, and human capital, the market potential continues to promote substantial regional growth. On average, an increase of 10 percentage points in the market potential increases the regional GDP per capita growth by 3–5 percentage points.