Technology capital: the price of admission to the growth club

We assess long-run patterns of global agricultural productivity growth between 1970 and 2005 and examine the relationship between investments in technology capital and productivity. To measure agricultural total factor productivity (TFP) we employ a Solow-type growth accounting method to decompose output growth into input and TFP growth. For technology capital we construct two indexes reflecting national capacities in agricultural research and education-extension for 87 developing countries. We then correlate technology capital levels with long-term growth rates in agricultural TFP. Our findings show that global agricultural TFP growth as a whole accelerated since 1980, although performance was very uneven across developing countries. TFP growth rates were significantly influenced by technology capital. Marginal improvements to research capacity, given a minimal level of extension and schooling existed, were associated with faster TFP growth. However, marginal increases in extension-schooling without commensurate improvements in research capacity did not improve productivity performance.     

Are systems of innovation in Eastern Europe efficient?

This paper explores the determinants of productivity in the countries of Eastern Europe (EE) through the perspective of ‘narrow’ and ‘broad’ national systems of innovation (NSI). Based on panel econometrics, it examines the extent to which systems in EE could be considered ‘(in)efficient’. Our results suggest that the EE countries have lower levels of productivity than might be expected given their research and development (R&D), innovation and production capabilities. The inefficiencies of ‘broad’ NSI are compounded by the inefficiencies of ‘narrow’ NSI in terms of generating numbers of science and technology publications and resident patents relative to R&D employment compared to the rest of the world. Our results point to an important distinction between technology and production capability as the drivers of productivity improvements and provide some policy implications.     

Industrial Productivity Growth Linkages Between OECD Countries, 1970–90

Technology ‘spillovers’ are increasingly being recognized as sources of productivity growth. International ‘convergence’ in productivity levels has also been noted in recent studies. This paper reports a study of international total factor productivity (TFP) growth for 11 industrial sectors in seven OECD countries. Spillover variables are defined based on interindusty and international invention input–output (I(IO)) weights. These variables are tested against import-weighted variables. The study concludes that I(IO)-weighted R&D ‘spill-ins’ are important determinants of TFP growth and that convergence is dependent on domestic RBD.     

The effects of external and internal shocks on total factor productivity

This paper examines structural changes that occur in the total factor productivity (TFP) within countries. It is possible that some episodes of high economic growth or economic decline are associated with permanent productivity shocks; therefore, this research has two objectives. The first one is to estimate the structural changes present in TFP for a sample of 77 countries between 1950 (1960) and 2000. The second one is to identify possible explanations for breaks. Two sources were analyzed: (i) episodes in political and economic history; (ii) changes in international trade – a measure of absorption of technology. The results suggest that about one-third of the TFP time-series present at least one structural break. Downwards breaks are more common, indicating that after a break the TFP has much difficulty to recover. When we investigated factors related with structural change, developed countries presented a break near the first oil shock while the developing countries’ breaks are more spread along the decades. Thus, external strikes seem to be more relevant for developed countries. However, for each country and break date, it was possible to find an event close to the break date endogenously detected. Last, the relevance of international trade, measured by trade share percentage of GDP, seems to be limited to explain abrupt changes in TFP.     

Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices

This study examines patterns of productivity change in a large set of 266 public higher education institutions (HEIs) in 7 European countries across the time period 2001–2005. We adopt consistent bootstrap estimation procedures to obtain confidence intervals for Malmquist indices of HEI productivity and their components. Consequently, we are able to assess the statistical significance of changes in HEI productivity, efficiency and technology. Our results suggest that, assessed vis-à-vis a common ‘European’ frontier, HEI productivity rose on average by 4 % annually. Statistically significant changes in productivity were registered in 90 % of observations on the institutions in our sample, but statistically significant annual improvements in overall productivity took place in only 56 % of cases. There are considerable national differences, with German, Italian and Swiss HEIs performing better in terms of productivity change than HEIs from the other countries examined.     

Nature and determinants of productivity growth of foreign subsidiaries in Central and East European countries

The paper examines the determinants of productivity growth in foreign manufacturing subsidiaries in five Central and East European (CEE) countries by analysing patterns of control, nature of firms’ capabilities and firms’ market orientations. Building on the so-called ‘subsidiary development’ perspective, we show that productivity growth is determined jointly by corporate governance, production capability and market orientation variables. Within a dominantly production-oriented mandate, CEE subsidiaries have a relatively high level of autonomy in the control of their business functions. Majority foreign equity shareholding has a significant and positive impact on subsidiaries’ productivity growth. Our results show strong regional characteristics.     

Corporate cash holdings and total factor productivity – A global analysis

Studies concerning total factor productivity (TFP) have investigated the effect of TFP on economic growth from a country-level perspective, which is a critical issue in the macroeconomics field. Few studies have examined how corporate financial decisions influence TFP from a firm-level perspective. Specifically, no extant studies have investigated how cash holdings affect firm productivity. This study utilizes data for firms in 65 countries during 1993–2017 to investigate the effect of cash holdings on TFP from a corporate perspective. The findings show that firms with higher cash holdings can enhance TFP. The results hold after considering endogenous problems, financial constraints, financial crises, corporate governance, institutional quality, and financial development as well as various robustness tests. Furthermore, we examine whether firms consistently invest their cash holdings into research and development (R&D) expenditures enhances firm productivity. The evidence indicates that higher cash holdings lead to steady increases in R&D expenditure, which improves firms’ TFP.     

Technology catching-up and regulation in European regions

This paper analyses the effects of the intensity of regulations in the product and labour markets on the growth of total factor productivity (TFP) for 121 European regions. A technological catch-up model is estimated for the period 1995–2007. We use the spatial lag of X (SLX) model to capture possible spatial interactions across spatial units. Our empirical findings show that lower levels of regulation are associated with higher TFP growth. Lower barriers to entrepreneurship and lower bureaucratic costs have a positive effect on productivity growth. Corruption raises operational costs, distorts the allocation of resources and negatively affects innovation activities, thereby reducing TFP growth. Further liberalization in the labour market (in terms of hiring and firing regulation, working hours regulation and employment protection legislation) has a significant positive effect on the growth of TFP. In addition, both regional technological and regional human capital have a positive impact on the TFP growth in European regional economies.     

Estimating the Production Efficiency of US Foreign Direct Investment

This paper empirically estimates the efficiency of outward US foreign direct investment (FDI) within the framework of economies of scale, which is hypothesized as a main goal of ‘efficiency‐seeking’ multinationals. By using data for the period 1982–2007 and a nonhomogeneous production, the estimates of efficiency indicate an improvement in efficiency from decreasing to increasing returns to scale. The increasing productivity of both capital and labor is a contributory factor. Evidence of increasing elasticity of factor substitution attests to management use of a flexible production technology that enables efficient resource allocation. The results lend support to the ‘efficiency‐seeking’ hypothesis of FDI. Copyright © 2012 John Wiley & Sons, Ltd.     

Production Technology Estimates and Balanced Growth

Capital‐labour substitution and total factor productivity (TFP) estimates are essential features of many economic models. Such models typically embody a balanced growth path. This often leads researchers to estimate models imposing stringent prior choices on technical change. We demonstrate that estimation of the substitution elasticity and TFP growth can be substantially biased if technical progress is thereby mis‐specified. We obtain analytical and simulation results in the context of a model consistent with balanced and near‐balanced growth (i.e. departures from balanced growth but broadly stable factor shares). Given this evidence, a constant elasticity of substitution production function system is then estimated for the US economy. Results show that the estimated substitution elasticity tends to be significantly lower using a factor‐augmenting specification (well below one). We are also able to reject conventional neutrality forms in favour of general factor augmentation with a non‐negligible capital‐augmenting component. Our work thus provides insights into production and supply‐side estimation in balanced‐growth frameworks.     

Managing Knowledge in Loosely Coupled Networks: Exploring the Links between Product and Knowledge Dynamics

The contemporary literature concentrates on ‘make or buy’ decisions in design and production activities, assuming that decisions about the underlying fields of technological knowledge will automatically be the same. Building on previous research on multitechnology firms and products, this paper argues that firms know more about technology than they apply in their own production. We propose two major dimensions according to which firms should adjust their knowledge and production boundaries, namely systemic interdependencies across components and uneven rate of change across components’ underlying knowledge bases. We analyse the implications of this less‐than‐perfect overlap between knowledge and production boundaries for the management of firms’ external relationships.     

Agglomeration elasticities and firm heterogeneity

This paper examines three key issues encountered when estimating the relationship between agglomeration and multi factor productivity (‘agglomeration elasticities’): the sorting of heterogeneous firms, the convexity of agglomeration effects, and the challenges of identifying the impact of persistent spatial differences in effective density. We use a firm-level panel containing production data together with detailed information on the geographic location of employment, covering a high proportion of the New Zealand economy. We are able to control for heterogeneity along firm, region, and industry dimensions, and to estimate separate agglomeration elasticities across industries and regions. Sorting leads to upward biased elasticity estimates but using firm fixed effects can lead to downward bias due to the highly persistent nature of agglomeration variables. Our preferred estimates control for sorting across regions and industries. Overall, we find a positive agglomeration elasticity of 0.066. Within industries and, to a lesser extent within regions, there is pronounced variation in the strength of agglomeration effects, and evidence of decreasing returns to agglomeration. High density areas attract firms that benefit most from agglomeration.     

Costly external finance,reallocation, and aggregate productivity

Empirical studies document that resource reallocation across production units plays an important role in accounting for aggregate productivity growth in the US manufacturing. Financial market frictions could distort the reallocation process and hence may hinder aggregate productivity growth. This paper studies the quantitative impact of costly external finance on aggregate productivity through resource reallocation across firms with idiosyncratic productivity shocks. A partial equilibrium model calibrated to the US manufacturing data shows that costly external finance causes inefficient output reallocation from high productivity firms to low productivity firms and as a result leads to a 1 percent loss in aggregate TFP.     

Supply,Factor Shares and Inflation Persistence: Re‐examining Euro‐area New‐Keynesian Phillips Curves*

Using euro‐area data, we re‐examine the empirical success of New‐Keynesian Phillips curves (NKPCs). We re‐estimate with a suitably specified optimizing supply side (which attempts to treat non‐stationarity in factor income shares and mark‐ups) that allows us to derive estimates of technology parameters, marginal costs and ‘price gaps’. Our resulting estimates of the euro‐area NKPCs are robust, provide reasonable estimates for fixed‐price durations and discount rates and embody plausible dynamic properties. Our method for identifying the underlying determinants of NKPCs has general applicability to a wide set of countries as well as of use for sectoral studies.     

Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach

This paper investigates the process of GDP generation in former Soviet Union (FSU) economies to provide an understanding of the impact of technology channels on countries’ efficiency. We apply a stochastic frontier approach to 15 FSU economies over the period 1995–2008 and find that FDI and human capital improve countries’ technical efficiency. Furthermore, we show that these factors also have a positive impact on total factor productivity (TFP), which, in turn, improves real GDP growth. Hence, our results suggest that FSU countries should promote public policies that provide incentives to attract foreign investment and enhance domestic education in order to improve their economic growth. Additionally, our empirical evidence argues against the resource curse hypothesis. We also show, by computing efficiency change and technological change indices at the country level, that FSU economies benefit more from exploiting technological progress than from catching up to the best practice frontier.     

Agglomeration economies with consistent productivity estimates

This paper investigates the relative impact of microeconomic agglomeration mechanisms on plant's total factor productivity (TFP) using German establishment and employment-level data. Contrasting different strategies for estimating TFP from plant-level production functions reveals that unobserved output prices bias true productivity and lead to underestimated agglomeration economies. With the corrected TFP measure, the largest impact is found for labor market pooling, which is captured by the correlation of the occupational composition between one county-industry and the rest of the county. This main result is robust, even when the spatial units are resized from counties to larger labor market regions. Input linkages appear to be relevant only at this larger regional scale. Overall, agglomeration economies differ substantially across industries. Only for a subset of industries, some positive evidence is detected for knowledge spillovers.     

Decentralized environmental regulations and plant‐level productivity

Using the framework provided by the Porter hypothesis, we study the impact of environmental regulations and enforcement policies on plant‐level green total factor productivity (TFP) growth and its components related to efficiency change and technical change. The detailed microdata we use are from Sweden and for the pulp and paper industry. This industry is the source of significant amounts of water and air pollution and is one of the most heavily environmentally regulated manufacturing industries. Sweden has a unique decentralized regulatory structure where the manufacturing plants have to comply with plant‐specific regulatory standards stipulated at the national level, as well as decentralized local supervision and enforcement. Our empirical results point to beneficial impacts of the environmental policies on plants' green TFP growth and sustainable production practices. We also find that political economy considerations are important, as the presence of the Green Party and aspects like plant size (with corresponding local and regional economic effects) matter in enforcement of the standards.     

Econometric estimation of distance functions and associated measures of productivity and efficiency change

Multi-input multi-output production technologies can be represented using distance functions. Econometric estimation of these functions typically involves factoring out one of the outputs or inputs and estimating the resulting equation using maximum likelihood methods. A problem with this approach is that the outputs or inputs that are not factored out may be correlated with the composite error term. Fernandez et al. (J Econ 98:47–79, 2000) show how to solve this so-called ‘endogeneity problem’ using Bayesian methods. In this paper I use the approach to estimate an output distance function and an associated index of total factor productivity (TFP) change. The TFP index is a new index that satisfies most, if not all, economically-relevant axioms from index number theory. It can also be exhaustively decomposed into a measure of technical change and various measures of efficiency change. I illustrate the methodology using state-level data on U.S. agricultural input and output quantities (no prices are needed). Results are summarized in terms of the characteristics (e.g., means) of estimated probability density functions for measures of TFP change, technical change and efficiency change.