集聚经济、基础设施与制造业全要素生产率:来自中国207个地级市的证据

随着我国经济高质量发展战略的实施,经济发展的基础设施有了很大改进。地区基础设施改进会从外部性上促进企业内部和企业之间的有效连接,降低物流成本和交易成本,提高产业全要素生产率。在基础设施变化条件下,我国分地区集聚经济对全要素生产率提升的影响差异需作分类研究,以便深入讨论产业经济高质量发展问题。使用PSTR模型,引入非期望产出的GML指数,以及有关计算产业集聚和相关多样化的指标,实证研究不同地区制造业集聚经济随着基础设施变化影响全要素生产率的机制。结果显示:产业集聚与相关多样性均对全要素生产率产生非线性影响,并基本为正;集聚经济对GML指数的正向作用小于传统的全要素生产率;集聚经济与全要素生产率的非线性关系在不同地区表现出不同的特征,东部地区出现过度集聚现象;人力资本、研发投入和外商投资均随着基础设施增加对全要素生产率产生更强的正向作用,东部地区政府干预促进当地生产水平,中西部地区政府干预作用随着基础设施增加而降低。     

TFP growth in Chinese cities: The role of factor-intensity and industrial agglomeration

This article estimates agglomeration effects via calculating EG (Elilsion & Glaeser) and TFP growth (Total Factor Production) by considering the undesired output of the industrial enterprise database and the entropy weight method. Using panel data of 207 county-level cities in China and 28 two-digit manufacturing industries from 2003 to 2013 based on SIC codes, this paper analyzes the relationship between agglomeration and TFP growth through the smooth transition model under different regions and factor-intensity. The results are as follows. (1) A negative relationship appears in manufacturing productivity. The agglomeration effect changes to the crowded effect. Environmental pollution is also generated by transportation and inadequate pollution treatment technology. (2) The excessive agglomeration phenomenon of developed areas (eastern region) is less than the less developed areas (central and western regions). (3) Resource-intensity industries present two thresholds that indicate complex regional features. For various intensive industries in different regions, the relationship between GML and agglomeration is different. High agglomeration does not always promote TFP growth. (4) At different levels of urban industrial agglomeration, the influences of efficiency change and technical change on GML are different. Overall, moderate agglomeration in all regions helps promote economic development.     

技术进步、结构变迁与中国铁路运输业生产率增长——基于Hicks-Moorsteen生产率指数的实证分析

利用具有完全可乘性的非参数Hi cks-Moorst een生产率指数,对中国铁路运输业在1 997-201 0年期间的全要素生产率进行测算和分解,并对区域铁路运输业生产率进行绝对收敛检验。研究发现,平稳快速的技术进步是样本期间内中国铁路运输业全要素生产率快速增长的主要原因,而投入产出混合效率的下降则是各时段某些地区综合效率下降的重要因素;全国及三大地区的铁路运输业生产率在统计上均存在着显著的绝对收敛。此外,还应用面板计量模型实证检验了结构变迁、资本深化和引致需求等诸多因素对于铁路运输业全要素生产率、技术进步以及效率变动的相关影响。研究发现,产业经济结构和铁路运输内部结构分别与铁路运输业生产率之间存在显著的正相关和负相关关系;资本深化程度则呈现出显著的负向影响;各种引致需求因素和铁路路网密度均呈现出显著的正向影响;国有铁路所占比例与公路设施等替代竞争因素则均呈现出不同程度的负相关影响。     

Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era

What drives the productivity dynamics of infrastructure companies? Using a panel of firms in 14 countries, we study total factor productivity (TFP) enhancers of utility and network services companies. We find that moving TFP closer to the technological frontier drives productivity growth at higher speeds in Asian countries than in European countries. We also find that financial leverage exerts a positive effect on TFP growth for larger infrastructure firms and that more financially developed countries utilize economies of scale through better use of financial resources. Large utility and transportation companies display a higher rate of TFP growth, indicating that a competition policy to encourage M&As would be prudent for the utility/transportation sectors to maximize economies of scale. In contrast, we find diseconomies of scale for energy companies in some countries. Moreover, young network firms improve TFP growth faster than their peers in countries with fewer product market regulations. Therefore, policies should remove entry barriers while facilitating the departure of old and low-productivity firms from network markets. Finally, policymakers should offer well-targeted fiscal incentives for intangible investments to boost TFP because the accumulation of intangible assets such as digital technology promotes more scale economies through network effects.     

产业集聚、企业规模与全要素生产率增长——基于长三角制造业行业面板数据的分析

本文首先从理论上分析了产业集聚、企业规模对TFP增长的影响;其次,运用非参数的Malmquist生产率指数方法,测算了1998—2007年我国长三角地区两省一市(江苏、浙江、上海)20个制造业行业的全要素生产率增长及其技术效率和技术进步的变化;最后,用面板数据的计量回归模型对长三角两省一市制造业行业全要素生产率的影响因素进行了实证检验。得出以下结论:长三角地区两省一市制造业行业全要素生产率的增长主要是由技术进步带来的,而技术效率变化指数表现出负增长;产业集聚和企业规模对上海、江苏和浙江制造业行业TFP增长的作用显著,且产业集聚的作用大于企业规模的作用。     

中国城市科技人才集聚促进了全要素生产率增长吗——来自285个地级市的经验研究

基于2005—2018年中国内地285个地级市数据，对城市科技人才集聚与全要素生产率（简称“TFP”）进行测度分析，实证考察科技人才集聚对TFP的影响。结果表明：①城市科技人才集聚与TFP空间分异特征显著，但二者具有较强的时空一致性，即科技人才集聚特征显著的城市，其TFP也相对稳定；②城市科技人才集聚对TFP的影响呈倒U型，但研究期内大多数城市仍处于集聚效应占主导阶段,科技人才集聚通过提升城市技术进步水平促进TFP增长，而科技人才集聚对技术效率的影响呈倒U型；③不同类型城市科技人才集聚对其TFP影响的异质性显著，且适宜集聚区间也存在差异。省会城市及一、二线城市等优势特征显著的城市所能承受的科技人才集聚规模上限更高，有利于通过释放集聚红利促进TFP增长，而非省会城市、三线及以下城市等则拐点值较低。     

适宜技术、人力资本与区域知识溢出——基于1995—2009年中国省际面板数据的实证分析

采用1995—2009年中国28个省(自治区、直辖市)的面板数据,运用基于数据包络分析的Malmquist生产率指数法,实证检验了适宜技术、人力资本对地区知识溢出和TFP的影响。研究结果表明:人力资本、省际R&D资本溢出和国际R&D资本溢出都是影响地区TFP的重要因素;人力资本除了可直接影响地区TFP外,还可通过对来自省际、国际进出口、FDI和ODI渠道的知识溢出发挥"同化器"作用来间接影响的地区TFP;人力资本对知识溢出具有"同化器"作用,但在不同的适宜技术下人力资本的影响机制和作用路径不同。     

Explaining local manufacturing growth in Chile: the advantages of sectoral diversity

This article investigates whether the agglomeration of economic activity in regional clusters affects long-run manufacturing Total Factor Productivity (TFP) growth in an emerging market context. We explore a large firm-level panel dataset for Chile during a period characterized by high growth rates and rising regional income inequality (1992–2004). Our findings are clear-cut. Locations with greater concentration of a particular sector have not experienced faster TFP growth during this period. Rather, local sector diversity was associated with higher long-run TFP growth. However, there is no evidence that the diversity effect was driven by the local interaction with a set of suppliers and/or clients. We interpret this as evidence that agglomeration economies are driven by other factors such as the sharing of access to specialized inputs not provided solely by a single sector, e.g. skills or financing.     

Are ICT Spillovers Driving the New Economy?

Some observers have raised the possibility that production spillovers and network effects associated with information and communications technology (ICT) are an important part of the "New Economy." Across U.S. manufacturing industries, however, ICT capital appears correlated with the acceleration of average labor productivity (ALP) growth as predicted by a standard production model, but not with total factor productivity (TFP) growth as these New Economy forces imply. Once one allows for productivity differences across industries, measured TFP growth is uncorrelated with all capital inputs, including ICT capital. This provides little evidence for a New Economy story of ICT-related spillovers or network effects driving TFP growth throughout U.S. manufacturing.     

Spatial analysis of change trend and influencing factors of total factor productivity in China’s regional construction industry

Total factor productivity (TFP) is a measure of long-term economic growth and a comprehensive industry-level productivity measure. There are large gaps in China’s regional construction industry development due to unbalanced regional economy. Based on TFP measurement, this article puts forward a two-hierarchical analysis framework with coefficient of variation, Moran scatterplot and coefficient of convergence to analyse change trend of the construction industry TFP in three major regions in terms of spatial diversity, correlation and convergence. Then, the geographically weighted regression model is utilized to explore the influencing mechanism on the TFP. The results indicate the differences of the regional construction industry TFP are enlarging. There is obvious spatial correlation and heterogeneity in the regional TFP without a relatively stable space pattern. The TFP also exhibits convergence effects among three major regions. The construction industry productivity in all regions is significantly affected by economic environment, industrial organization structure and technological level. Industrial organization structure exerts the various influences on the productivity in different regions.     

Productivity Growth And Market Structure In Telecommunications

This study examines sources of telecommunications sector productivity growth. Total factor productivity (TFP) growth is calculated using the Malmquist productivity index for a sample of 74 countries for the period 1991 through 1995. An econometric model is estimated which relates TFP growth to output growth, network digitisation, telecommunications development, output-mix, the business cycle and market structure. Model estimates suggest that higher digitisation rates dampen TFP growth in the short run, and cross-subsidisation of services creates inefficiency. However, developing countries can increase TFP growth through catch up, and increased privatisation and competition are conducive to productivity growth.     

我国制造业技术进步、技术效率及区域差异——基于DEA方法的实证研究

利用Malmquist生产率指数方法,对我国29个省的制造业在1999--2005年间的全要素生产率（TFP）的变化进行了测算,把TFP的增长构成分解为技术进步和生产效率变化两个成分,并对其区域差异进行了分析,最后对省际制造业TFP进行了趋同分析。结果显示：我国制造业TFP的增长主要是由技术进步推动的,当技术进步促进TFP提升时,总会受到生产效率下降对TFP增长的抑制影响;区域间技术进步及技术效率存在较大差异,省级制造业TFP存在条件β收敛。     

FDI和产业集聚对TFP增长影响的实证检验——基于上海制造业行业的数据

运用非参数的Malmquist生产率指数方法,测算了1998—2007年上海20个制造业行业的全要素生产率指数及其技术效率和技术进步的变化指数;用基于面板数据的计量回归模型对上海市制造业行业全要素生产率的影响因素进行了实证检验。得出以下结论:上海制造业行业全要素生产率的增长主要是由技术进步带来的,技术效率变化指数表现出负增长;外商直接投资对上海制造业企业没有明显的外溢效应,产业集聚对上海制造业行业的全要素生产率增长有显著的促进作用,出口贸易具有显著的阻碍作用,国有产权比重具有显著的反向作用。     

Information technology,efficiency and productivity: evidence from Korean local governments

This study evaluates the performance of Korean local government by measuring their technical efficiency (TE) and total factor productivity (TFP) growth and, more importantly, examining the impact of information technology (IT) on this performance. The study is different from received analysis in that a unique measure of the state of IT–the Informatization Index–is used to investigate the impact of IT on both TE and TFP growth. Empirical analyses are conducted on data from 222 Korean local governments for the period 1999 to 2001. In particular, data envelopment analysis techniques are applied to calculate TE scores and TFP growth rates for sampled local governments. The empirical findings confirm the positive impact IT has in improving technical efficiency and accelerating productivity growth. The estimated coefficients are correctly signed (with other regional characteristics controlled for) when TE scores and TFP growth rates are regressed on the Index. In addition, the findings indicate that economies of density are present in the production of local public services.     

技术吸收能力对技术溢出和全要素生产率的影响——基于1995—2009年中国省区面板数据

利用1995—2009年我国28个省(自治区、直辖市)的面板数据,采用数据包络分析法,实证检验了地区的技术吸收能力对地区获得的技术溢出及其全要素生产率的影响。研究表明:省际技术溢出以及来自进出口贸易、FDI和ODI渠道的技术溢出都是影响地区TFP及其分解变量——技术进步、技术效率的重要因素;人力资本、制度因素、技术差距和吸收能力综合变量通过与技术溢出发生交互作用,对地区TFP、技术效率和技术进步产生显著影响。     

UNDERSTANDING THE WORLD WOOL MARKET: TRADE,PRODUCTIVITY AND GROWERS’ INCOMES*

Applying recent estimates of total factor productivity (TFP) growth on Australian sheep farms, we analyse the long‐run effects of TFP growth on the world wool market using a detailed model of the world wool market that treats raw wool, wool textiles and wool garments as heterogeneous commodities. The model divides the world wool market into nine regions and eight major industrial sectors capturing the extreme nature of the multistage production system through which wool passes. We find that regional sheep producer's welfare responds by between ‐0.9 per cent and 0.7 per cent assuming conservative TFP growth over the period 1995/96–2003/04. Sensitivity analysis shows the welfare effects to be robust with respect to all model parameters, but sensitive to the size of the TFP growth and the degree of TFP spill‐over. Our realistic representation of the multistage nature of the wool production system shows that wool inputs steadily decline in importance in moving from early‐ to late‐stage processing. This production structure indicates that the productivity of sheep farmers has little effect on the prices of and demand for wool garments. In contrast, trade in wool inputs is very responsive to the productivity of sheep farmers.     

Network technologies,communication externalities and total factor productivity

The main aim of this paper is to determine the factors which enhance or temper firms’ private incentives to use communications technologies that are characterised by network externalities and allow firms to influence their rate of technological change or total factor productivity (TFP). As regards the impact of the network effect on TFP, we find that when the externality parameter is low, a slightly negative effect appears, but this effect is reversed when the externality is higher. This relationship is valid regardless of the number of firms. Our result is particularly interesting because it offers a possible explanation for the Solow productivity paradox. We conclude that, in addition to the degree of network effects, market structure, consumer preferences and the number of users also have a very important influence on TFP and technological change.     

结构负利：流通业比重与地区经济增长*

作为国民经济中的基础性和先导性产业,流通业在国民经济中的比重呈现先下降后上升的U型演变趋势。本文利用扩展的索罗模型和中国省际地区面板数据探讨流通业比重变化对地区总体生产率和经济增长的影响。研究结果表明,首先,地区总体生产率与流通业比重呈显著的负相关关系。其次,地区人均产出增长率与当期流通业比重呈负相关关系,而与上期流通业比重呈正相关关系。流通业比重对地区人均产出增长率的净效应既受到地区总体生产率与流通业比重之间负向关系的影响,也受到地区经济增长收敛性的影响。根据模拟实验,2009-2014年中国流通业比重上升导致人均产出增长率约下降136个百分点。最后,地区流通效率在“流通业比重-总体生产率-经济增长”关系中发挥着明显的调节作用。在流通效率越高的地区,流通业比重上升对地区总体生产率和地区人均产出增长率的负向作用越弱。因此,地方政府可以通过提高本地区流通效率来缓解流通业比重上升带来的“结构负利”。     

Government subsidy and aggregate productivity dynamics: Evidence from China

Based on data for Chinese manufacturing firms from 1999 to 2007, this study explores the dynamic evolution of aggregate total factor productivity (TFP) from the perspective of firmsʼ entry and exit. It also quantifies how government subsidies influence the aggregate productivity growth. By decomposing aggregate productivity growth into components, including technological progress, reallocation, entry, and exit effects, we found that aggregate TFP growth in Chinese manufacturingfollows an upward trend during the sample period. This tendency originates from the contribution of technological progress, reallocation, and exit effects. Moreover, the effects of these four components on aggregate TFP growth of different industries, regions, and ownership types are different. Furthermore, technological progress, reallocation, and exit effects are important pathways for government subsidies to promote aggregate TFP growth in Chinese manufacturing.     

Human capital, economic growth, and regional inequality in China

We show how regional growth patterns in China depend on regional differences in physical, human, and infrastructure capital as well as on differences in foreign direct investment (FDI) flows. We also evaluate the impact of market reforms, especially the reforms that followed Deng Xiaoping's “South Trip” in 1992 those that resulted from serious hardening of budget constraints of state enterprises around 1997. We find that FDI had a much larger effect on TFP growth before 1994 than after, and we attribute this to the encouragement of and increasing success of private and quasi-private enterprises. We find that human capital positively affects output and productivity growth in our cross-provincial study. Moreover, we find both direct and indirect effects of human capital on TFP growth. These impacts of education are more consistent than those found in cross-national studies. The direct effect is hypothesized to come from domestic innovation activities, while the indirect impact is a spillover effect of human capital on TFP growth. We conduct cost-benefit analysis of hypothetical investments in human capital and infrastructure. We find that, while investment in infrastructure generates higher returns in the developed, eastern regions than in the interior, investing in human capital generates slightly higher or comparable returns in the interior regions. We conclude that human capital investment in less-developed areas is justified on efficiency grounds and because it contributes to a reduction in regional inequality.