Measurement of total factor productivity growth and biases in technological change in Western Australian agriculture

This study investigates productivity growth in broad-acre agriculture in Western Australia. Tornqvist indices of three output groups (crops, sheep products and other) and five input groups (livestock, materials and services, labour, capital and land) are constructed and discussed. Indices of total output and total inputs are also derived and used to form an index of total factor productivity, that is observed to grow at an average annual rage of 2·7%. The input and output indices are also used in the estimation of output supply and input demand equations, derived from a flexible profit function. The Generalized McFadden functional form is used, because it is possible to impose global curvature upon it without loss of flexibility. Asymptotic chi-square tests reject the hypotheses of Hicks-neutral technical change in inputs and in outputs. Technical change is observed to be ‘materials and services’ saving relative to the other input groups, and also appears to favour wool and sheepmeat production relative to the other output groups.     

Teacher shortages and the business cycle

The ability of the public sector to recruit skilled workers is important for the quality of public sector services. Centralized and rigid pay systems in the public sector might reduce labour supply and lead to shortages of qualified personnel in areas and periods with strong outside labour markets. This paper shows that teacher shortages measured by the share of teachers without approved education are strongly procyclical in Norway. Using a large panel of Norwegian local governments for 1981–2002 and exploiting the rigid wage system, we find a sizeable negative relationship between teacher shortages and the regional unemployment rate.     

Learning-by-doing and the sources of productivity growth: A dynamic model with application to U.S. agriculture

The significance of learning to productivity growth is formulated within a dynamic adjustment-cost framework. Explicitly treating the acquisition of knowledge as a firm-specific capital good entering the production function along with other conventional inputs, the dynamic optimization model integrates the learning-by-doing hypothesis with technical change, scale, and disequilibrium input use effects in the aggregate productivity analysis. The theoretical framework is applied to examining the dynamic components accounting for the growth of U.S. production agriculture over the 1950–82 period. The results imply a less important role for technical change and assign a substantial role to the previously unmeasured contribution of learning-by-doing to the growth of aggregate agriculture industry.The editor for this paper was Melvyn Fuss.     

Internal and external restructuring over the cycle: a firm-based analysis of gross flows and productivity growth in Portugal

This paper discusses the role played by internal restructuring vis-à-vis external restructuring in industry productivity growth, arguing that the contribution of these two components is expected to be sensitive to the economic cycle. The study describes gross flows (job and output) over a period of one decade, and analyses the productivity differential among continuing, entering and exiting firms in the Portuguese manufacturing sector. The results of the decomposition of industry productivity growth suggest that the share of external restructuring is stronger in recession, while internal restructuring seems to be predominant in expansion. The strong and positive contribution of the net entry effect, in 1991–1994, was not followed by any between and cross effects of equivalent magnitude in the 1994–1997 sub-period. The within effect is, as expected, stronger when output growth is at its peak, but in no case large enough to turn productivity growth procyclical.

Innovation and productivity in knowledge intensive business services

This paper studies empirically the relationship between the sources of knowledge, innovation and productivity in Knowledge Intensive Business Services using French micro data and sheds some new light on the production of knowledge and on effects of innovative output on firm productivity. Both an innovation function and a production function augmented with dummy endogenous innovation are estimated. Three estimators which control for endogeneity of the dummy innovation are employed: the first is a maximum likelihood estimator of the equations’ system while the other two are built in the instrumental variables framework. These estimators give useful complementary information because of the usual efficiency-robustness tradeoff comparing system-equations and single-equation estimators. We find that innovation is frequent in Knowledge Intensive Business Services and has a strong and positive effect on productivity. As in manufacturing, the main determinant of innovation is formal knowledge resulting from R&D or from acquisitions of equipment, patents or licenses.     

Targeted monetary policy and agriculture business loans

This study examines the effect of a Targeted Easing (TE) policy, an unconventional monetary policy tool initiated by the Chinese central bank to reduce reserve requirement ratios of agricultural financial institutions. Utilizing a longitudinal sample of Chinese agriculture companies and a matching sample of industrial firms between 2012 and 2017, we find that the TE policy successfully achieves its intended policy goal to boost lending to the agriculture sector. Results from our difference-in-differences estimations indicate that loan levels of agriculture firms increases significantly more than that of matching nonagricultural firms under TE relative to the non-TE period. We also document heterogeneous TE effects and find that agricultural firms with smaller agency costs, larger financing constraints, and larger loan intensity levels benefit significantly more from a TE policy than their counterparts. In addition, the TE policy effect is more salient during a contractionary period than in an expansionary period.     

U.S. productivity in agriculture and R&D

This paper examines the impact of R&D on multifactor productivity in the U.S. agricultural sector over the 1910–1990 period. We use the Bennet–Bowley indicator to measure agricultural productivity based on a multiple output-multiple input technology. We demonstrate the relationship between the price dependent Bennet–Bowley indicator and the Luenberger productivity indicator which is constructed from directional distance functions without requiring price information. These performance measures are dual to the profit function which arguably makes them especially useful in the agricultural setting. We employ time-series techniques to investigate the effect of R&D on the pattern of productivity growth. We find that we cannot reject the presence of a cointegrating relationship between the two series and that productivity growth in the U.S. agriculture responds positively to R&D expenditure with a lag of between four and ten periods.

State of the art in business analytics: themes and collaborations

In this study, we illustrate the most recent stage in the scholarly development of the field of Business Analytics. Using around 23,000 research publications collected from the Web of Science, we network-analyzed four types of dataset that include keywords, titles, institutions, and countries. It is noteworthy that we found a thematic cluster focusing on analytical techniques and tools, particular with the rapid dissemination of “big data”-related studies. It is not surprising that universities and institutions in advanced countries in the West still occupy the central position of the collaboration network. However, we can discern a global shift toward certain developing and transitional economies in the world science base.     

Globalization and business cycle transmission

The paper uses long-run GDP data for developed countries drawn from Maddison [Maddison, A. (2003). The world economy—Historical statistics. Paris: OECD Development Centre] to generate deviation cycles for the period from 1870 to 2001. The cyclical deviates are examined for their bilateral cross-correlation values in three separate periods, those of the first globalization wave (1870–1914), the period of the “bloc economy” (1915–1959) and for the period of the second globalization (1960–2001). Cluster analysis is applied and the McNemar test is used to test for the relative coherence of alternative groupings of countries in the three periods. The bloc economy period emerges as one that features some well-defined sub-global clusters, where the second globalization period does not, the first globalization period lying between the two in this respect. The second globalization period shows a generally higher level of cross-correlations and a lower variance than the other two periods. The features uncovered suggest that the second globalization period is indeed one that comprises a more inclusive world economy than ever before.     

Stock market volatility and the business cycle

This paper investigates the joint time series behavior of monthly stock returns and growth in industrial production. We find that stock returns are well characterized by year-long episodes of high volatility, separated by longer quiet periods. Real output growth, on the other hand, is subject to abrupt changes in the mean associated with economic recessions. We study a bivariate model in which these two changes are driven by related unobserved variables, and conclude that economic recessions are the primary factor that drives fluctuations in the volatility of stock returns. This framework proves useful both for forecasting stock volatility and for identifying and forecasting economic turning points.     

Kinship and business: how entrepreneurial households facilitate business growth

Building on studies that have stressed the importance of context and the role of the family in business growth, this study explores the role of the entrepreneurial household in the process of business development and growth. We seek to understand how household strategy influences the development of new businesses, the ways in which household characteristics and dynamics influence business growth strategy decisions and how business portfolios are managed and developed by the household. To examine these questions, comparative case studies were undertaken drawing data from four entrepreneurial households located in remote rural regions of Norway and Scotland. The data reveal the role of the entrepreneurial household in the evolution of business creation and growth, examining the processual aspects of entrepreneurial growth, the interactions between business activities and entrepreneurial households and how business portfolios are developed in practice. Three analytical themes emerged from the analyses: the tightly interwoven connections between the business and the household, the use of family and kinship relations as a business resource base and how households mitigate risk and uncertainty through self-imposed growth controls. Although previous studies have viewed entrepreneurial growth largely as an outcome of personal ambition and business strategy, these results reveal the importance of the entrepreneurial household and the household strategy in determining business growth activities.     

Using the Intranet as a business productivity tool

By now most, if not all, of us are familiar with the Internet. We can use it to send messages to our friends and business associates. We can send attached data files to those who need the information. We can download updates to our software or get new programs. We also can search the Web for information on an endless array of topics. The objective of this presentation is to familiarize you with the broad spectrum of business functions that can be significantly enhanced by the use of Internet technology. This is certainly one way to build your knowledge chain for success. This article is meant to stimulate your thinking about what this tool might be used for in your environment but will leave the technical issues of how to do that to other experts.     

Income inequality and the business cycle: A threshold cointegration approach

This paper investigates the impact of various socio-economic variables on various cohorts of the income distribution. We use asymmetric cointegration tests to show that unemployment and immigration shocks have real impacts on income inequality. In addition, using threshold test results we are able to show that positive and negative shocks to the economy do not have symmetric effects nor do the impacts of these shocks impact income quintiles uniformly.     

Search in the product market and the real business cycle

Empirical evidence suggests that most firms operate in imperfectly competitive markets. We develop a search-matching model between wholesalers and retailers. Firms face search costs and form long-term relationships. Price bargain results in both wholesaler and retailer mark ups, which depend on firms' relative bargaining power. We simulate the general equilibrium model and explore the role of product market search frictions for business cycles. We conclude from the simulation exercise that incorporating product market search structure and shocks improve the standard real business cycle model to reproduce US business cycle fluctuations.     

Detrending,stylized facts and the business cycle

The stylized facts of macroeconomic time series can be presented by fitting structural time series models. Within this framework, we analyse the consequences of the widely used detrending technique popularised by Hodrick and Prescott (1980). It is shown that mechanical detrending based on the Hodrick–Prescott filter can lead investigators to report spurious cyclical behaviour, and this point is illustrated with empirical examples. Structural time-series models also allow investigators to deal explicitly with seasonal and irregular movements that may distort estimated cyclical components. Finally, the structural framework provides a basis for exposing the limitations of ARIMA methodology and models based on a deterministic trend with a single break.     

Riskiness,endogenous productivity dispersion and business cycles

In the data, cross-sectional productivity dispersion is countercyclical at both the plant level and the firm level, see e.g. Bloom (2009). I incorporate a firm׳s choice of risk level into a model of firm dynamics with real business cycle features to explain this empirical finding both qualitatively and quantitatively. In the model, in every period, each firm chooses the investment amount and the risk level associated with a production project every period. All projects available to each firm have the same expected flow return, determined by the aggregate and idiosyncratic shocks to the firm׳s productivity, and differ from one another only in their risk. The endogenous option of exiting the market and the limited funding for new investment jointly play an important role in motivating firms׳ risk-taking behavior. The model predicts that, in each period, relatively small firms are more likely to take risk and hence exhibit a higher exit rate, and that the cross-sectional productivity dispersion, measured as the standard deviation of the realized individual component of productivity, is larger in recessions.     

CES technology and business cycle fluctuations

We contribute to an emerging literature that brings the constant elasticity of substitution (CES) specification of the production function into the analysis of business cycle fluctuations. Using US data, we estimate by Bayesian-Maximum-Likelihood methods a standard medium-sized DSGE model with a CES rather than Cobb–Douglas (CD) technology. We estimate a elasticity of substitution between capital and labour well below unity at 0.15–0.18. In a marginal likelihood race CES decisively beats the CD production and this is matched by its ability to fit the data better in terms of second moments. We show that this result is mainly driven by the implied fluctuations of factor shares under the CES specification. The CES model performance is further improved when the estimation is carried out under an imperfect information assumption. Hence the main message for DSGE models is that we should dismiss once and for all the use of CD for business cycle analysis.     

Capital maintenance and depreciation over the business cycle

This paper develops and estimates a stochastic general equilibrium model with capital maintenance, which affects endogenously the depreciation rate of capital. The estimate of maintenance series is found to track survey-based measures for Canada quite closely and to generate the procyclical pattern of maintenance observed in the data. We use our model estimates to infer the time profile of equipment capital depreciation in Canadian and US manufacturing. The depreciation rate is estimated to be volatile and highly procyclical in both countries.     

The business cycle in the G-7 economies

In this paper the Hodrick–Prescott filter is used to decompose real GDP for the G7 countries into cyclical and trend components. The resulting series of cyclical components are then examined for static relationships, using correlations and graphs; long-run relationships using autoregressive-distributed lag models; and short-run relationships, using error–correction models. The main result is that the patterns of cyclical behaviour changed following the oil price shocks in the 1970s. Since 1980, cyclical fluctuations have been smaller as a result of a decline in synchronisation of the cycles in the G7. Two separate cycles seem to be developing since 1990. One is for Germany, Italy and France, whilst the other is for the US, UK and Canada. Within each of these groups there are both long-run and short-run relationships between the cyclical components of GDP.     

Inflation is not dead: sweet and sour spots in the business cycle

This paper considers whether the current low inflation rates in the UK are due to'the death of inflation'(because of structural changes to the economy, as claimed in a recent book) or should instead be interpreted as part of a business cycle which is largely monetary in origin.