The Reallocation of Agricultural Labour across Sectors: An Empirical Strategy for Micro Data. Factor Markets Working Document No. 45, May 2013

This paper presents an empirical methodology for studying the reallocation of agricultural labour across sectors from micro data. Whereas different approaches have been employed in the literature to better understand the mobility of labour, looking at the determinants to exit farm employment and enter off-farm activities, the initial decision of individuals to work in agriculture, as opposed to other sectors, has often been neglected. The proposed methodology controls for the selectivity bias, which may arise in the presence of a non-random sample of the population, in this context those in agricultural employment, which would lead to biased and inconsistent estimates. A 3-step multivariate probit with two selection and one outcome equations constitutes the selected empirical approach to explore the determinants of farm labour to exit agriculture and switch occupational sector. The model can be used to take into account the different market and production structures across European member states on the allocation of agricultural labour and its adjustments.

Will improved access to capital dampen the need for more agricultural land? A CGE analysis of agricultural capital markets and world-wide biofuel policies. Factor Markets Working Paper No. 48, May 2013

This paper analyses the consequences of enhanced biofuel production in regions and countries of the world that have announced plans to implement or expand on biofuel policies. The analysis considers biofuel policies implemented as binding blending targets for transportation fuels. The chosen quantitative modelling approach is two-fold: it combines the analysis of biofuel policies in a multi-sectoral economic model (MAGNET) with systematic variation of the functioning of capital and labour markets. This paper adds to existing research by considering biofuel policies in the EU, the US and various other countries with considerable agricultural production and trade, such as Brazil, India and China. Moreover, the application multi-sectoral modelling system with different assumptions on the mobility of factor markets allows for the observation of changes in economic indicators under different conditions of how factor markets work. Systematic variation of factor mobility indicates that the ‘burden’ of global biofuel policies is not equally distributed across different factors within agricultural production. Agricultural land, as the pre-dominant and sector-specific factor, is, regardless of different degrees of inter-sectoral or intra-sectoral factor mobility, the most important factor limiting the expansion of agricultural production. More capital and higher employment in agriculture will ease the pressure on additional land use – but only partly. To expand agricultural production at global scale requires both land and mobile factors adapted to increase total factor productivity in agriculture in the most efficient way.

Determinants of Farm Labour Use: A Comparison between Ireland and Italy. Factor Markets Working Documents No. 60, August 2013

This paper examines the effect of the decoupling of farm direct payments upon the off-farm labour supply decisions of farmers in both Ireland and Italy, using panel data from the Farm Business Survey (REA) and FADN database covering the period from 2002 to 2009 to model these decisions. Drawing from the conceptual agricultural household model, the authors hypothesise that the decoupling of direct payments led to an increase in off-farm labour activity despite some competing factors. This hypothesis rests largely upon the argument that the effects of changes in relative wages have dominated other factors. At a micro level, the decoupling-induced decline in the farm wage relative to the non-farm wage ought to have provoked a greater incentive for off-farm labour supply. The main known competing argument is that decoupling introduced a new source of non-labour income i.e. a wealth effect. This may in turn have suppressed or eliminated the likelihood of increased off-farm labour supply for some farmers. For the purposes of comparative analysis, the Italian model utilises the data from the REA database instead of the FADN as the latter has a less than satisfactory coverage of labour issues. Both models are developed at a national level. The paper draws from the literature on female labour supply and uses a sample selection corrected ordinary least squares model to examine both the decisions of off-farm work participation and the decisions regarding the amount of time spent working off-farm. The preliminary results indicate that decoupling has not had a significant impact on off-farm labour supply in the case of Ireland but there appears to be a significantly negative relationship in the Italian case. It still remains the case in both countries that the wealth of the farmer is negatively correlated with the likelihood of off-farm employment.

Returns from Income Strategies in Rural Poland. Factor Markets Working Document No. 64, August 2013

In order to stabilise and improve their income situation, rural households are strongly encouraged to diversify their activities both within and outside the agricultural sector. Often, however, this advice is only moderately pursued. This paper addresses issues of rural household income diversification in the case of Poland. It investigates returns from rural household income strategies using propensity score matching methods and extensive datasets spanning 1998-2008. Results suggest that returns from combining farm and off-farm activities were lower than returns from concentrating on farming or on self-employment outside agriculture. This differential is stable over time although returns from diversification have relatively improved after Poland’s accession to the EU. This is also visible in the fact that since 2006 returns from combining farm and off-farm activities have evened with returns from relying solely on hired off-farm labour, thus smoothing the difference observed before the accession. Further, over the analysed period, households pursuing the diversification strategy performed better than those relying solely on unearned income. Finally, in general, the income in households combining farm and off-farm activities was higher than in those combining two off-farm income sources.

Confidentiala "Mode 3" Systems Approach for Knowledge Creation, Diffusion and Use: Towards a 21st Century Fractal Innovation Ecosystem. ACES Working Paper (Report) No. 4, 2007

"Mode 3" allows and emphasizes the co-existence and co-evolution of different knowledge and innovation paradigms: the competitiveness and superiority of a knowledge system is highly determined by its adaptive capacity to combine and integrate different knowledge and innovation modes via co-evolution, co-specialization and coopetition [sic] of knowledge stock and flow dynamics. What results is an emerging fractal knowledge and innovation ecosystem, well-configured for the knowledge economy and society. The intrinsic litmus test of the capacity of such an ecosystem to survive and prosper in the context of continually glocalizing [sic] and intensifying competition represents the ultimate competitiveness benchmark with regards to the robustness and quality of the ecosystem's knowledge and innovation architecture and topology.

Measuring firm innovativeness: towards a composite innovation index built on firm innovative posture, propensity and performance attributes. ACES Working Paper No. 12, 2008

The ability to innovate is generally accepted as a critical success factor to growth and future performance of firms. Yet, this acceptance obscures a comprehensive perspective on how firms can influence their innovation capacity and resulting performance. This paper proposes a '3P' construct of innovation measurement that simultaneously considers the Posture, Propensity and Performance related to a firm's innovation capabilities. We propose and provide empirical support showing that robust measurement of the performance implications of innovation requires the consideration of input, throughput and output factors simultaneously. Single or more limited indicators do not offer the degree of fine-tuning to a firm's innovation system that managers require. Thus, we propose the development, and future research into contingent variations, of a Composite Innovation Index (CII). We further demonstrate its use in comparing innovators and allowing managers to design a firm's innovation system.

Inflation and Unemployment In EMU and the United States. ACES Working Papers No. 10, 2008

The original purpose of this paper was to see why the Phillips Curve numbers seem to be so much worse for the EMU countries than the United States since EMU was began operation in 1990. The problem is that there is no evidence of a Phillips curve relationship in EMU or in the United States during this seventeen year period. As can be seen in Figures 1 and 2, it just is not there. In about half the years unemployment and inflation moved in the opposite direction, as Phillips would predict, but in other half of the years they moved in the same direction. This may be a matter of time lags, with unemployment lagging inflation, but it seems clear that the Phillips curve is a poor tool for explaining these year to year outcomes in Europe or the United States.