Productivity Gains from Offshore Outsourcing: Evidence from the Chinese Manufacturing Industry

Using the Cobb–Douglas production function and vertical specialization share, the present paper measures the productivity spillover effects of offshore outsourcing in the Chinese manufacturing industry. We examine different production factors and the degree of openness by dividing the Chinese manufacturing industry into five major categories: capital‐intensive business, technological‐intensive business, labor‐intensive business, open business and non‐open business. The results show that offshore outsourcing is positively associated with productivity in the Chinese manufacturing industry as a whole, but less so in labor‐intensive industries and more in capital‐intensive industries. Moreover, the positive impact of outsourcing on productivity is slightly higher in open industries than in non‐open industries. These results shed light on the differential spillover effects of offshore outsourcing on productivity. Our findings suggest that outsourcing structure is important to China's long‐run competitive advantage. China's policy‐makers should encourage further offshore capital‐intensive and technology‐intensive activities and focus more on outward‐oriented offshore businesses.     

Trade Barriers and Participation in the Global Value Chain: An Empirical Study Based on Anti‐dumping toward China

This paper investigates the effects of trade barriers on China's participation in the global value chain (GVC) using a thorough decomposition approach for trade volume, total exports, final exports and intermediate exports. Our econometric results indicate that anti‐dumping (AD) measures initiated by trade partners have restrained the process of China's participation in the GVC. From 2000 to 2014, AD measures reduced the foreign value‐added rate of total, final and intermediate exports by 4.5 to 28.7 percent, 3.4 to 17 percent and 1.2 to 8.5 percent, respectively. In addition, suffering the effects of AD measures, China's GVC position index declined by 8.2 percent to 28.6 percent during this period. Moreover, AD measures have increased industries' upstream index by 3.2 to 13.7 percent over the same period. These results imply that both the petition and approval of AD cases has had a negative influence on the extent and position of China's GVC participation.     

中国省际高技术产业创新效率评价研究——基于超效率DEA模型和Malmquist指数法

基于中国29个省区市2014-2018年高技术产业的面板数据,首先采用超效率DEA模型对各省市生产效率进行测算,进而构建DEA-Malmquist模型对各省市综合生产率指数进行计算和分解.结果表明:中国高技术产业创新效率的总体水平较高,但是超过一半的省市区要素投入结构不合理,而且主要分布在中部和西部地区,创新效率存在较大的区域差异;中国高技术产业的全要素生产率指数平均值大于1,很多省份存在规模效率不高的问题,导致创新效率呈现N型的回调震动形态,技术进步和技术效率是全要素生产率提高的主要动力.因此,为了进一步提高我国高技术产业创新效率,需要注意保持高技术产业的技术水平和技术效率,尤其要注重高技术产业科技资源的优化配置,提升高技术产业创新资源的管理水平.     

SOURCES OF PRODUCTIVITY GAINS FROM FDI IN INDONESIA: IS IT EFFICIENCY IMPROVEMENT OR TECHNOLOGICAL PROGRESS?

This article investigates the spillover effects of foreign direct investment (FDI) on productivity growth in the Indonesian food-processing (ISIC 311) and electrical machinery industries (ISIC 383). Total factor productivity (TFP) growth is decomposed into efficiency change and technological change by using the Malmquist productivity index. The empirical results show that efficiency improvement is the major driver of TFP growth in the food-processing industry, whereas technological progress is the dominant contributor in the electrical machinery industry. There are positive spillovers on efficiency change but negative spillovers on technological change in the food-processing industry. However, FDI spillovers turn out to be negative in efficiency change while positive in technological progress in the electrical machinery industry. These findings demonstrate that different industries experience different sources of productivity gains, which are dependent on the characteristics of firms in the industry.     

Inter-industry Technology Spillover Effects in China： Evidence from 35 Industrial Sectors

The present paper calculates 35 industrial sectors’ similarity matrices for the period of 1997-2008 using China’s input-output tables for 1997,2002 and 2007,and uses these to measure inter-industry technology spillover to analyze the spillover effects on industrial sectors’ labor productivity.The empirical analysis shows that inter-industry technology spillover has a significant positive effect on the labor productivity of each industry.The elasticity of productivity effects of inter-industry technology spillover is not only larger than that of direct R&D input,but also increases over time.We group the industries into four major categories and find that the inter-industry technology spillover effect within the categories is,on average,greater than that between the four categories,indicating that technology spillover occurs more easily between similar industries.This research shows that the interindustry technology spillover effect in China has begun to increase,and the government should take advantage of this effect.     

Competitiveness of China's Manufacturing Industry and its Impacts on the Neighbouring Countries

This paper investigates the rapid growth of China's share in the international commodity market and the structural changes of China's commodity exports. It demonstrates a significant improvement of international competitiveness in China's manufacturing sector. The panel data analysis, based on a Solow–Swan type growth model on China's 37 manufacturing industries from 1991 to 2002, reveals that the main sources of the strengthened competitiveness of China's manufacturing sector have been mainly from Total Factor Productivity (TFP), while labour productivity has been increasing and capital productivity has been falling. A preliminary empirical analysis on the impacts of China's increasing competitiveness finds that there are negative correlations between China and most of its neighbouring countries, both newly industrialised economies and other Southeast Asian developing economies. However, there is no evidence of negative impacts of China's increasing competitiveness on developed countries such as the United States and Japan.     

Do High-technology Exports Cause More Technology Spillover in China？

The volume of China’s high-technology exports has grown sharply since the implementation of its export promotion strategy "Revitalizing Trade through Science and Technology" in 1999.This paper investigates whether technology spillover effects are greater for hightechnology exports than for primary manufactured goods exports.We present a generalized multi-sector spillover model to identify both between spillover effects from exports towards non-exporters and within-spillover effects among export sectors.Using panel data for 31 provinces in China over the period from 1998 to 2005,we find that although high-technology export sectors have higher productivity compared with other sectors,this productivity advantage does not lead to technology spillover to both domestic sectors and other export sectors,and export technology spillover mainly derives from traditional export sectors rather than high-technology export sectors.As such findings can be largely attributed to the fact that China’s high-technology exports depend significantly on processing trade by foreign- invested firms,policy implications are discussed in relation to how to best promote the role of China’s high-technology exports during economic expansion.     

外商直接投资对零售业的溢出效应研究——基于省际面板数据的实证检验

运用2006—2018年省际面板数据分析对外直接投资(FDI)对中国零售业的溢出效应.结果显示,FDI对中国内资零售业的溢出效应和挤出效应并存:FDI的参与度会对中国内资零售业的技术进步产生负面影响,不利于FDI集聚性行业内溢出效应的产生;而外资零售企业的劳动生产率有利于中国内资企业的技术溢出,表现为FDI效率性行业内溢出效应.此外,企业规模在中部地区的影响更显著,资本密集度对中国内资零售业的技术进步具有显著的正向影响.     

China＇s Economic Growth： International Spillovers

China's economic development since 1978 is one of the most significant events in recent history. Many aspects of this development have been extensively analyzed in the published literature. However, the implications of China's growth for other countries have been relatively neglected. The present paper attempts to fill this gap in the literature. The paper first presents some facts on China's role in the world economy, and then measures the impact of China's growth on growth in the rest of the world in both the short term and the long term. Short‐run estimates based on vector autoregression and error correction models suggest that spillover effects of China's growth have increased in recent decades. Long‐term spillover effects, estimated through growth regressions based on panel data, are also significant and have extended in recent decades beyond Asia. The estimates are robust to the effects of global and regional shocks, changes in model specification, and sample period.     

Accounting and determinants analysis of China's provincial total factor productivity considering carbon emissions

One of the most undesirable output of China's rapid economic growth has been increasing carbon emissions. This study measures and analyzes the impact of carbon emissions on China's regional total factor productivity from 2000 to 2017. Using global Malmquist-Luenberger productivity indexes, we re-estimate the provincial total factor productivity taking carbon emission into account, comparing different assumptions of returns to scale and considering the rank reverse issue. The differences of technical progress and efficiency change across Chinese regional economies are also investigated and we found that the former was the primary contributor to improved Chinese provincial productivity performance. In addition, we analyze the influencing factors of productivity based on provincial panel data. Our results indicate that innovation capacity, energy and employment structure had significant impact on the provincial productivities while urbanization had a negative impact. A more sustainable development can be expected by expanding regional investment in R&D, adjusting and optimizing structures of regional industries and energies.     

Remedy or Poison: Impacts of China's Outward Direct Investment on Its Exports

During the past decade, China's outward direct investment (ODI) and exports have experienced rapid growth, drawing increasing attention to the relationship between them. Using the gravity model based on panel data on China's ODI and trade to 174 countries and regions during 2003–2012, the present paper investigates the impacts of China's ODI on exports. We find that China's ODI to a host country significantly promotes China's trade with that economy: a 10‐percent increase in ODI stock can lead to a 2.14‐percent increase in exports, a 2.07‐percent increase in imports and a 2.87‐percent increase in net exports. The scale of the host country's economy, its infrastructure and its distance to China also have significant impacts on China's exports. Therefore, growth in ODI will facilitate China's trade and integration into the global economy, and enhance industrial upgrading in China by transferring the low‐end industries abroad.     

基于DEA-Malmquist模型的广东人工智能领军企业技术创新效率研究

基于DEA（数据包络分析）-Malmquist模型,选取广东人工智能（AI）产业的31家领军企业,对其技术创新效率进行实证分析。对于企业的技术创新效率,用Malmquist技术生产率指标来表示。Malmquist技术生产率指标是技术效率和技术进步的乘积,技术效率则又是规模效率和纯技术效率的乘积。然后再根据静态和动态两个方面的实证分析结果,提出广东人工智能产业未来发展的若干建议。     

Firm Heterogeneity and Export Pricing in India

We examine export pricing by Indian manufacturing firms in the early 2000s using a unique data set that matches firm characteristics with product and destination‐level trade data. We find that, in contrast to China and other countries, firm productivity is negatively associated with export prices, and export prices are negatively associated with distance while positively associated with remoteness. Our conjecture is that Indian innovation costs, which are higher than China's, drive down the scope for quality differentiation causing a negative association between productivity and prices. To the best of our knowledge, this is the first empirical evidence consistent with heterogenous goods and short quality ladders, a theoretical possibility noted in the study by Antoniades (2012), an outcome that arises here because of domestic Indian economic and regulatory features.     

Are China's Exports Crowding Out or Being Crowded Out? Evidence from Japan's Imports

Previous studies have investigated whether Chinese exports have crowded out those from other countries. However, what has yet to be considered is the evidence based on different quality varieties. Using the most detailed Harmonized System 9‐digit product‐level data, the present paper provides evidence of crowding‐out and crowded‐out effects across different product quality segments and across manufacturing sectors by quality segments. The empirical evidence presented in this paper shows that the crowding‐out effects of Chinese exports have been greatest at the lower end of the quality spectrum but less significant at the higher quality spectrum. Moreover, since 2007, China's own exports of lower quality manufactured goods have been increasingly crowded out. The key policy implication is that China's export path is in line with that taken by other Asian economies in previous decades; the crowded‐out effect could achieve win–win outcomes for countries involved; and lower income countries would do well to be open to receive those relocated low value‐added industries from China. However, the relocation policy in China is best implemented gradually as climbing up the product quality ladder takes time.     

Intellectual Property Rights and Patenting in China＇s High-technology Industries： Does Ownership Matter？.

This paper aims to systematically investigate the impacts of strengthening intellectual property rights on patenting in China's high‐technology industries and to explore the potential differences in response to patent reform by ownership. Empirical results show that the estimated patent elasticity of R&D is lower than that for OECD countries, indicating relatively low R&D productivity for China's high‐technology industries. The direct innovation effect of technology imports is negative, while the absorptive ability embodied in R&D helps in gaining external sources of knowledge, thus contributing to innovations. Specifically, strengthening intellectual property rights can induce more innovations in terms of patents in China's high‐technology industries and is particularly relevant to foreign‐owned high‐technology enterprises.     

Development in China＇s Foreign Trade： 2003-2012

China＇s foreign trade has entered a new stage, marked by some profound changes since 2003. After 5 years ＇consecutive high growth, China＇s foreign trade experienced a significant slowdown in growth following the onset of the global financial crisis in 2008. The purpose of this article is to present a review of the development in China＇s foreign trade over the past l O years, and to explore important changes that have taken place during this period of time. A majorfinding of the presentpaper is that the traditional forces driving the high export growth in China, that is, low-cost labor, low-cost resources and low-cost money, have been disappearing. The policy implication is that over the next l O-15 years, the most important conditions for sustaining high export growth will be promoting the development and export of private enterprises in traditional heaw industries and high-technology industries, and relying on technological progress and high produc6vity to propel export expansion.     

中国高技术产业的劳动生产率差异——基于DEA的实证分析

本文运用数据包络分析,将中国高技术产业劳动生产率变化的源泉分解成技术效率、技术进步、资本深化和人力资本积累四个部分,分析了它们对劳动生产率及其差异的影响。2000-2009年间17个高技术产业的实证分析表明:(1)中国高技术产业劳动生产率水平有了显著提升,其中技术效率改善、技术进步和人力资本积累促进了劳动生产率的提高,资本深化则阻碍了劳动生产率的提高;(2)中国高技术产业的劳动生产率差异缩小了,其中技术效率变化、资本深化是劳动生产率差距缩小的主要原因,而技术进步和人力资本积累则阻碍了劳动生产率差距的缩小。     

R＆D,Human Capital Investment and Productivity： Firm-level Evidence from China＇s Electronics Industry

Usingfirm-level panel data covering 2005-2007, the present paper examines the effects of R＆D and human capital investment on productivity in China＇s electronics industry. It is found that both R＆D and on-the-job training positively contribute to total factor productivity （TFP）. Firms＇ investment inemployees＇ health insurance andpensions, whichare components of workers＇ compensation, generate a productivity-enhancing effect, supporting the efficiency wage hypothesis. The estimated impact of R＆D on productivity varies among different forms of ownership, and foreign-owncd enterprises experience higher R＆D efficiency than state or private enterprises. After controlling for potential endogenous causality between TFP and R＆D, the above findings remain unchanged We also find that on-the-job training can improve the quality of human capital and is helpful in promoting productivity. Therefore, establishing indigenous technological capability through various technological sources is quite important, and the government should devote further effort to investing in human capital.     

An Empirical Analysis of Provincial Productivity in China (1979–2001)

This study estimates and analyzes provincial productivity growth in China for the period 1979–2001. The Malmquist Index approach allows us to decompose productivity growth into two components, technological progress and efficiency change. Considerable productivity growth was found for most of the data period, but it was accomplished mainly through technological progress rather than efficiency improvement. Although China's capital stock has accumulated at record speed in recent years, our findings show that TFP growth slowed down significantly during 1995–2001. The study thus raises serious questions about whether China's recent growth pattern is consistent with its comparative advantages, and whether its reliance on capital accumulation can be sustained in the long run.     

Impact of China's Outward Foreign Direct Investment on Its Regional Economic Growth

This paper investigates the impact of China's outward foreign direct investment (OFDI) on its economic growth. By using a provincial‐level panel dataset and applying fixed‐effects and instrumental variable regression techniques, the study finds that both OFDI from provincial firms and OFDI from state‐owned enterprises have a positive impact on China's provincial economic growth. The positive impact of OFDI on provincial economic growth may be the result of reverse knowledge spillovers from OFDI to the home provincial economy through demonstration and imitation, labor movement, and backward and forward industrial linkages, thus increasing the productivity and the efficiency of home firms and promoting the growth of the home economy.