ENDOGENOUS SELECTION OF PRODUCERS,ASSET PRICES,AND PRODUCTIVITY SLOWDOWN*

This paper presents a simple heterogeneous agent model to show that shocks that reduce aggregate borrowing capacity of producers under borrowing constraints cause endogenous productivity slowdowns through declines in asset prices and biased selections of producers. These dynamics of the model replicate the qualitative features of the Japanese economy during the 1990s, including a decline in the within effect in total factor productivity growth decomposition as well as default on mortgage loans. Policy experiments demonstrate that foreclosure restrictions already in place mitigate an exogenous productivity slowdown, but that a tightening of foreclosure restrictions causes an endogenous productivity slowdown.     

产业结构变迁、劳动力市场扭曲 和中国劳动生产率增长放缓*

自2007年以来,中国的劳动生产率呈现出增长放缓的趋势。本文建立了包含劳动力市场扭曲和部门效率差异的三部门一般均衡模型,对劳动生产率增长放缓的原因进行了分析。本文的模型可以较好地拟合劳动力部门间再配置和劳动生产率增长放缓的特征事实。数值模拟结果表明,第三产业劳动生产率低速增长是导致中国总劳动生产率增长放缓的主要原因,而劳动力市场扭曲的减弱和第一产业劳动生产率的加速增长则对总劳动生产率增长放缓起到了遏制作用。这些结果证明,劳动生产率的增长放缓在很大程度上是产业结构变迁带来的。政府可以实施放松服务业进入规制和消除劳动力市场扭曲等政策,提高总劳动生产率的增长率。     

China's Growth Slowdown: Labor Supply,Productivity, or What?

There has been much discussion of the sources of China’s growth slowdown but little formal econometric analysis of this question. Chen and Groenewold (2019) show that the slowdown was primarily supply-driven, but they stopped short of identifying specific supply variables. This paper extends their analysis and distinguishes several potential supply components: labor supply, productivity, and capital accumulation. Our results confirm their main conclusion that supply dominates the explanation of the slowdown. A model with two supply factors (labor supply and productivity) reveals that both components contribute to the slowdown, although productivity makes the greater contribution. However, when capital stock is added to the model, the decline in the capital accumulation rate becomes an important factor in the growth slowdown, to some extent replacing the effects of both labor supply and productivity.     

INDUSTRIAL AND AGGREGATE MEASURES OF PRODUCTIVITY GROWTH IN CHINA, 1982–2000

We estimate productivity growth for 33 industries covering the entire Chinese economy using a time series of input–output tables covering 1982–2000. Capital input is measured using detailed investment data by asset and labor input uses demographic information from household surveys. We find a wide range of productivity performance at the industry level. We then show how these industry growth accounts may be consistently aggregated to deliver a decomposition of aggregate GDP growth. For the 1982–2000 period aggregate TFP growth was 2.5 percent per year; decelerating from a rapid rate in the early 1980s to negative growth during 1994–2000. The main source of growth during the 1982–2000 period was capital accumulation, with a small negative contribution from the reallocation of factors across industries.     

企业出口与生产率的关系——基于中国工业企业数据的实证研究

采用1998—2007年中国工业企业数据,对出口与生产率的关系进行了再探讨,具体研究了出口企业是否具有更高的生产率、企业在做出口决策的过程中是否存在自我选择机制以及出口行为本身是否能促进企业生产率的增长。研究结果显示:当用TFP衡量生产率时,企业出口决策中存在自我选择机制,因此出口企业的生产率相对较高——这与异质企业贸易模型的预期结果一致;当用劳动生产率(人均附加值)衡量企业生产率时,则"生产率悖论"存在,即出口者的生产率反而较低;当企业刚进入出口市场时,其生产率会经历短期的快速增长,但从长期来看,出口对企业生产率增长的作用在整体上是负向的。     

Structural Change,Expanding Informality and Labor Productivity Growth in Russia

Strong growth, intensive structural change, and expanding informality have characterized many developing and emerging economies in recent decades. Yet most empirical investigations into the relationship between structural change and productivity growth overlook informality. This paper includes the informal sector in an analysis of the effects of structural changes in the Russian economy on aggregate labor productivity growth. Using a newly developed dataset for 34 industries covering the period 1995–2012 and applying three alternative approaches, aggregate labor productivity growth is decomposed into intra-industry and inter-industry contributions. All three approaches show that the overall contribution of structural change is growth enhancing, significant, and decreasing over time. Labor reallocation from the formal sector to the informal sector tends to reduce growth through the extension of informal activities with low productivity levels. Sectoral labor reallocation effects are found to be highly sensitive to the methods applied.     

A Generalized Exactly Additive Decomposition of Aggregate Labor Productivity Growth

Aggregate labor productivity (ALP) growth—i.e., growth of output per unit of labor—may be decomposed into additive contributions due to within‐sector productivity growth effect, dynamic structural reallocation effect (Baumol effect), and static structural reallocation effect (Denison effect) of cross‐sectional components (e.g., industry or region) of output and labor. This paper implements ALP growth decomposition that is “generalized” to output in constant prices and to output in chained prices (i.e., chained volume measure or CVM) and “exactly additive” since with either output the sum of contributions exactly equals “actual” ALP growth. It compares this “generalized exactly additive” decomposition (GEAD) to the “traditional” (TRAD) ALP growth decomposition devised for output in constant prices. The results show GEAD and TRAD are exactly additive when output is in constant prices, but GEAD is exactly additive while TRAD is not when output is in CVM. Also, GEAD components are empirically purer than or analytically superior to those from TRAD. Moreover, considering that contributions to ALP growth can be classified by industry or region each year over many years, GEAD provides a more well‐grounded picture over time of industrial or regional transformation than TRAD. Therefore, GEAD should replace TRAD in practice.     

总需求、国际贸易与我国省际生产率变化——基于省际面板数据的研究

全要素生产率的提高是促进经济持续增长的重要原因,对生产率的研究,主要是从供给方面展开的,本文试图从需求角度研究全要素生产率变动的原因。理论上看,总需求通过影响技术创新、技术选择、规模经济效益和要素的使用效率等途径引起生产率的变化,国际贸易则通过促进分工深化、产生技术溢出等促进生产率的提高。然后,本文采用数据包络分析方法测算了中国省际全要素生产率变化,并将其分解为技术效率的变化和技术进步。结果发现中国改革开放以来全要素生产率增长主要是技术进步的结果,技术效率的作用很小。在测算和分解的基础上,利用省际面板数据,就总需求和国际贸易对生产率增长的影响作了实证分析,发现最终消费和资本形成对技术进步和全要素生产率的提高作用显著,出口对生产率增长的作用不显著,进口显著地促进了省际全要素生产率增长和技术进步。     

Export Market Dynamics and Plant‐Level Productivity: Impact of Tariff Reductions and Exchange‐Rate Cycles*

In this paper, we examine how changes in tariff rates and industry‐specific real exchange rates affect the entry/exit process to export markets and productivity growth. Using the experience of the Canadian manufacturing sector over three decades, we find that firms in export markets enjoy faster productivity growth than non‐participants. The size of the growth advantage depends on whether real exchange rates are increasing or decreasing. The increase in the value of the Canadian dollar during the post‐2000 period almost completely offset the productivity growth advantages enjoyed by new exporters during this period.     

Regional variations in exporters’ productivity premium: Theory and evidence

The international trade literature confirms that the average productivity of exporters is higher than that of nonexporters, while economic geography studies establish that urban firms tend to be more productive than rural ones. By introducing region‐specific transportation costs in a Melitz‐type heterogeneous‐firm trade model, the theory predicts that the minimum threshold productivity level for export is higher but that for survival by serving the local market is lower in the periphery region than in the core. Using Japanese plant‐level panel data, we find evidence supporting the theoretical prediction that exporters in the peripheral regions, especially those distant from the core, have large productivity premiums.     

Inter-factor Substitution,economies of scale and technical change: Evidence from Canadian industries

This paper explores the causes of inter-temporal variations in factor intensities and total factor productivity (TFP) in Canadian industries. For this purpose, we estimated translog cost function at the sector level allowing for non-homotheticity and non-neutral technical progress. Our empirical results suggest that about 15 to 20 per cent of the post-1973 slowdown in TFP is due to the inter-industry shifts in factor inputs. The remaining productivity slowdown could be attributed to the world wide slowdown in aggregate demand (lower capacity utilization rates) and the substantial increase in the relative price of energy and raw materials.     

Productivity Performance of Export Market Entry and Exit: Evidence from Indian Firms

This paper contributes to the literature on exporting and firm productivity, focusing on export entry (efficiency), learning (post‐entry growth) and exit (inefficiency) by Indian firms. Drawing on 7000 firms during 1989–2009, our main objective is to examine the effect of exporting on firm productivity, correcting for selection bias using propensity‐score matching, which allows a “like‐for‐like” comparison between new exporters and nonexporters. Robust to different matching estimators, we find evidence of learning‐by‐exporting that new exporters acquire rapid productivity growth after entry, relative to nonexporters. We also find that (1) exporters are more productive than nonexporters; (2) productive firms tend to self‐select in entering the exporting market, and (3) least productive exporters are found to exit the export market as they experience adverse productivity effect prior to the year of exit. Our robust result on learning‐by‐exporting suggests that entering export market does appear to be a channel explaining the Indian recent growth miracle.     

ICT and Growth: The Role of Rates of Return and Capital Prices

We revisit the widely discussed contribution of investment in ICT to economic growth, focusing on differences in productivity and quality of ICT across countries and time. In a growth accounting approach, we look at the way rates of return and rates of asset price decline measure these aspects. Conducting a sensitivity analysis with data from the EU KLEMS database for the years 1990–2007, we introduce a constant rate of return and a constant rate of ICT price decline. Both alternative measurements somewhat downplay the role investment played relative to growth in multifactor productivity in the U.K. and the U.S. during 1995–2000. Moreover, we show that more than half of the ICT contribution to labor productivity growth results from changes in capital quality and composition rather than from quantity.     

FIRM‐LEVEL INVESTMENT AND EXPORT DYNAMICS*

This article characterizes the complementarity between exporting and investment in physical capital. We argue that new investment allows young exporters to grow faster and survive longer in export markets while reducing their vulnerability to productivity or demand shocks across markets. We structurally estimate our model using detailed firm‐level data. We find that the choice of cost structure has a large impact on model performance and the estimated costs of exporting or investment. Using detailed capital and output tariff rates, we quantify the impact of policy change on aggregate export and investment growth.     

Technology Adoption,Export Status,and Skill Upgrading: Theory and Evidence

This paper develops a model of trade that features heterogeneous firms, technology choice and different types of skilled labor in a general equilibrium framework to explain within‐industry increase in the relative demand for skilled workers. Its main contribution is to investigate the impact of firms' export and technology choice decisions on skill upgrading. Only firms in the upper range of the productivity distribution produce for the foreign market using high‐technology. Since this technology is skilled‐biased, exporters that resort to modern technologies are more skill intensive. Empirical evidence is also provided to support the model's main predictions using plant‐level panel data from Chile's manufacturing sector (1990–1999).     

Intangible Investment and Changing Sources of Growth in Korea

We examine how intangible investments change the sources of growth in the Korean economy. After constructing a novel industry‐level data set on intangibles, we estimate the contribution of intangible‐intensive industries and other industries to aggregate productivity growth in 1981–2008. The contribution of intangible‐intensive industries to aggregate labour productivity growth has significantly increased, whereas that of other industries has substantially decreased. The increased contribution of intangible‐intensive industries is mainly associated with total factor productivity growth rather than with input growth. This suggests that innovations related to intangible investments in these industries might become a new key source of productivity growth in Korea.     

NEW ESTIMATES OF THE U.S. ECONOMY'S POTENTIAL GROWTH RATE

Using an Okun's law framework, the analysis here estimates potential growth for the 1990s as measured by both fixed- and chain-weighted GDP. It then decomposes estimated potential growth rates into labor productivity growth (LPG) and labor input growth (LIG) using a regression analysis to separate secular from cyclical changes. It compares estimates of potential output and trend productivity growth for the 1990s with estimates from earlier periods. Results indicate that eliminating the substitution bias associated with fixed-weight measures of real GDP raises estimated potential GDP growth in the 1980s but lowers it in the 1990s. A slowdown in labor force growth, with little or no change in long-term productivity growth, largely accounts for the implied slowdown in potential growth.     

EMPLOYMENT PROTECTION,TECHNOLOGY CHOICE,AND WORKER ALLOCATION

We show empirically that high‐risk sectors, which contribute strongly to aggregate productivity growth, are relatively small and have relatively low productivity growth in countries with strict employment protection legislation (EPL). To understand these findings, we develop a two‐sector matching model where firms endogenously choose between a safe technology and a risky technology. For firms that have chosen the risky technology, EPL raises the costs of shedding workers in case they receive a low productivity draw. According to our calibrated model, high‐EPL countries benefit less from the arrival of new risky technologies than low‐EPL countries. Parameters estimated through reduced‐form regressions of employment and productivity on exit costs, riskiness, and in particular their interaction are qualitatively similar for actual cross‐country data and simulated model data. Our model is consistent with the slowdown in productivity in the European Union relative to the United States since the mid‐1990s.     

ICT AND EUROPE's PRODUCTIVITY PERFORMANCE: INDUSTRY-LEVEL GROWTH ACCOUNT COMPARISONS WITH THE UNITED STATES

In this paper we present a new industry-level database to analyze sources of growth in four major European countries: France, Germany, Netherlands and the United Kingdom (EU-4), in comparison with the United States for the period 1979–2000. Aggregate labor productivity growth is decomposed into industry-level contributions of labor quality, ICT and non-ICT capital deepening and TFP. A small set of service industries is mainly responsible for the acceleration in ICT capital deepening in both regions, but their contribution to growth is lower in the EU-4 than in the U.S. TFP in these ICT-intensive services accelerated in the U.S. in the 1990s, but not in Europe. In addition, widespread deceleration in non-ICT capital deepening in the EU-4 has led to a European labor productivity slowdown.     

Structural Change,Urban Congestion,and the End of Growth

This paper develops a two‐sector R&D‐based growth model with congestion effects from increasing urban population density. We show that endogenous technological progress causes structural change if there are positive productivity spillovers from the modern to the traditional sector and Engel's law holds. In turn, urban congestion effects cause a productivity slowdown in the modern sector. Eventually, economic growth may cease in the long‐run. We also show that land dilution by a larger workforce may give rise to negative scale effects on (GDP) per capita.