Driver costs in small firms: empirical analysis for farms

The agricultural sector has always been characterized by a predominance of small firms. International competition and the consequent need for restraining costs are permanent challenges for farms. This paper performs an empirical investigation of cost behavior in agriculture using panel data analysis. Our results show that transactions caused by complexity influence farm costs with opposite effects for specific and indirect costs. While transactions allow economies of scale in specific costs, they significantly increase indirect costs. However, the main driver for farm costs is volume. In addition, important differences exist for small and big farms, since transactional variables significantly influence the former but not the latter. While sophisticated management tools, such ABC, could provide only limited complementary useful information but no essential allocation bases for farms, they seem inappropriate for small farms.small firms, activity based costing, cost behavior, farm management accounting

Cost stickiness revisited: Empirical aplication for farms

This article reviews previous research regarding cost stickiness and performs an empirical analysis applied to a sample of farms. It recognizes that modelization of cost stickiness is a particular case of representation of cost variations as a function of output variations. It also discusses methodological issues and analyses cost stickiness for all registered farm costs and opportunity costs of family work. Costs exhibit a considerable level of rigidity. Even for variable costs, a decrease in activity involves a lower decrease in costs than the amounts involved when activity increases. While registered indirect costs slightly decrease when activity decreases, opportunity costs always increase. The study provides empirical evidence that cost stickiness is significantly reduced with better management decision practices.cost stickiness, cost behavior, farm management accounting

Ownership structure and innovation: Is there a real link

This work focuses on the study of the relationship between ownership and control structure of the company and its innovative activity. Its aim consists of analysing the role that may be played by determinants within the company related to ownership structure when the decision to incur research and development activities is taken as well as on the output of this innovative process. Among these determinants we may think of issues such as who owns the firm and how the control of decision-making is distributed, the nature of this control and the level of concentration of ownership, among others. The study is carried out for the year 2001 using a representative sample of Spanish manufacturing industries.ownership and control structure, agency theory, research and development

A comparison of the economic and environmental performances of conventional and organic farming: evidence from financial statements

While conventional farming systems face serious problems of sustainability, organic agriculture is seen as a more environmentally friendly system since it favours renewable resources, recycles nutrients, uses the environment’s own systems for controlling pests and diseases, sustains ecosystems, protects soils, and reduces pollution. At the same time organic farming promotes animal welfare, the use of natural foodstuffs, product diversity and the avoidance of waste, among other practices. However, the future of organic agriculture will depend on its economic viability and on the determination shown by governments to protect these practices. This paper performs panel regressions with a sample of Catalan farms (Spain) to test the influence of organic farming on farm output, costs and incomes. It analyses the cost structures of both types of farming and comments on their social and environmental performance.organic farming, conventional farming, social/environmental/financial performance, social and environmental accounting, Agribusiness, Environmental Economics and Policy, Farm Management, Q01, Q12, Q51, M41,

Fair value versus historic cost Valuation for Biological assets: Implications for the quality of financial information

This research finds neither significant differences in earnings and revenues for farms using fair value (FV) for biological assets with respect to those valuing at historic cost (HC), nor an increase in their volatility. It does not bring about differences in profitability, accounting manipulation and farm cash flows predictability either. On the contrary, most tests reveal higher predictive power of future earnings under FV. The study also provides evidence on flawed HC accounting practices in the agricultural sector and concludes that FV seems an interesting tool for the predominant small holdings in the agricultural sector in the European Union.accounting relevance, historic cost, agricultural accounting, prediction, fair value, earnings, cash flow prediction, biological assets

EU-US Differences in the Size of R&D Intensive Firms: Do they explain the overall R&D Intensity Gap?

The average firm size of the top R&D investors among US-based companies is smaller than that of the EU-based firms. Does this help to explain why the US has a greater R&D intensity, or is the higher firm size in the EU, just as its lower R&D intensity, determined by the sectors in which the top R&D investors are operating? Using data on the top-R&D investors from the 2006 EU Industrial R&D Investment Scoreboard, the size differential between R&D performers in the EU and US is more closely examined. A first observation is that, despite great differences between sectors, the overall distribution of companies' R&D investments in both economies is remarkably similar, as opposed to the distribution of the R&D/sales ratios of the same two sets of companies. The notion that size plays a role, independent of the sectoral composition of R&D, is then confirmed by regression analysis. In the US as well as in the EU, smaller sized Scoreboard companies tend to spend a larger proportion of their income from sales on R&D. JEL-classification: L11, 030 Keywords: R&D intensity, firm size, panel dataJRC.J.3-Knowledge for Growt

Employment Polarization in Local Labor Markets:The Dutch Case

Recent literature documents the pervasiveness of job polarization in the labor markets of the developed world. However, relatively little is known about polarization on a sub-national level. We exploit extensive data on both genders from Statistics Netherlands to confirm polarization as an important trend in the Dutch national labor market between 1999 and 2012. Furthermore, our sub-national analysis reveals considerable spatial heterogeneity among local labor markets. The degree of urbanization plays an important role; regions that are initially more urbanized are more likely to exhibit polarization. Finally, using a skill-based approach we report evidence supporting the routinization hypothesis as an important source of polarizatio

Evidence on the Role of Ownership Structure on Firm's Innovative Performance

Based on the Knowledge Production Function framework given by Griliches (1979), we slightly modify it so that the innovative output depends upon a set of factors related to the firm internal characteristics and are influenced by the environment. Specifically, regarding the firm internal determinants the effect of the concentration of the ownership, the composition of the boards of directors and the effect of the nature of the ownership (foreign and public) are analyzed. Additionally, in order to capture the determinants of the environment in which the firm operates other variables concerning the internationalization of market, the agglomeration economies and the regional knowledge externalities are also considered. In order to assess the impact of these determinants on the number of patents and models of use awarded by the firm, the discreteness of the latter variable has to be taken into account. We apply Poisson and Negative Binomial models for a more comprehensive evaluation of the hypothesis in a panel of Spanish manufacturing firms. The results show patenting activity is positively favoured by being located in an environment with a high innovative activity, due to the existence of knowledge spillovers and agglomeration economies. JEL classification: D210, O310, G320. Keywords: Knowledge production function, patents, R&D, ownership, regions.JRC.J.3 - Knowledge for Growt

Evidence on the role of ownership structure on firms' innovative performance

Based on the Knowledge Production Function framework given by Griliches (1979), we slightly modify it so that the innovative output depends upon a set of factors related to the firm internal characteristics and are influenced by the environment. Specifically, regarding the firm internal determinants the effect of the concentration of the ownership, the composition of the boards of directors and the effect of the nature of the ownership (foreign and public) are analyzed. Additionally, in order to capture the determinants of the environment in which the firm operates other variables concerning the internationalization of market, the agglomeration economies and the regional knowledge externalities are also considered. In order to assess the impact of these determinants on the number of patents and models of use awarded by the firm, the discreteness of the latter variable has to be taken into account. We apply Poisson and Negative Binomial models for a more comprehensive evaluation of the hypothesis in a panel of Spanish manufacturing firms. The results show patenting activity is positively favoured by being located in an environment with a high innovative activity, due to the existence of knowledge spillovers and agglomeration economies.JRC.DG.J.3-Knowledge for Growt

The Productivity Impact of R&D Investment: Evidence from European Microdata

The aim of this study is to investigate the relationship between a firm's R&D activities and its productivity using a unique micro data panel dataset and looking at sectoral peculiarities which may emerge; more specifically, we used an unbalanced longitudinal database consisting of 532 top European R&D investors over the six-year period 2000-2005. Our main findings can be summarised along the following lines: knowledge stock has a significant positive impact on a firm's productivity, with an overall elasticity of about 0.125; this general result is largely consistent with previous literature in terms of the sign, the significance and the estimated magnitude of the relevant coefficient. More interestingly, the coefficient increases monotonically when we move from the low-tech to the medium-high and high-tech sectors, ranging from a minimum of 0.05/0.07 to a maximum of 0.16/0.18. This outcome, in contrast with recently-renewed acceptance of low-tech sectors as a preferred target of R&D investment, suggests that firms in high-tech sectors are still far ahead in terms of the impact on productivity of their R&D investments, at least as regards top European R&D investors. JEL-classification: O33 Keywords: R&D, productivity, knowledge stock, panel data, perpetual inventory methodJRC.J.3-Knowledge for Growt