The public R&D and productivity growth in Australia's broadacre agriculture: is there a link?

This paper investigates the dynamic relationships between research and development (R&D) expenditure and productivity growth in Australian broadacre agriculture using aggregate time series data for the period 1953 to 2009. The results show a cointegrating relationship between R&D and productivity growth and a unidirectional causality from R&D to TFP (total factor productivity) growth in Australian broadacre agriculture. Using the dynamic properties of the model, data from beyond the sample period are analysed by employing the variance decomposition and the impulse response function. The findings reveal that R&D can be readily linked to the variation in productivity growth beyond the sample period. Furthermore, the forecasting results indicate that a significant out‐of‐sample relationship exists between public R&D and productivity in broadacre agriculture.     

Nonparametric estimates of productivity and efficiency change in Australian Broadacre Agriculture

This paper computes and decomposes Färe‐Primont indexes of total factor productivity of Australian broadacre agriculture by estimating distance functions. Using state‐level data from 1990 to 2011, the empirical results show that TFP grew at an average rate of 1.36 per cent per annum in the broadacre agriculture over the period 1990–2011. There are variations of total factor productivity (TFP) growth across states and fluctuations over time within each state and territory. However, overall, there is a clear movement towards slower TFP growth across the sample period. Further decomposition of TFP growth shows that it is declining growth in technical possibilities (technological progress) that is the main driver of the declining trend in productivity growth in broadacre agriculture in Australia.     

The impact of decoupled subsidies on productivity in agriculture: a cross‐country analysis using microdata

The decoupling of direct payments from production introduced in the reform of the Common Agricultural Policy is expected to make production decisions more market‐oriented and farmers more productive. However, ex‐post analyses of the productivity of farms have yet to uncover any evidence of a positive impact of the decoupling policy on farm productivity. Using Irish, Danish, and Dutch farm‐level data, we identify whether the decoupling policy has contributed to productivity growth in agriculture and farm product adjustment behavior. We find some evidence that the decoupling policy had significant positive effects on farm productivity and behavioral changes related to farm specialization.     

Productivity and the Returns to Levy-Funded R&D for Sugar Production in the Eastern Counties of England

Estimates of the rate of return (ROR) to publicly funded-agricultural research are getting lower as private expenditures and spill-overs are more adequately handled. For UK sugar beet there is a pool of technology available and the spill-ins are not measurable. An alternative approach is to assume that the difference between productivity growth in sugar and the rest of UK agriculture is attributable to the Sugar Beet Research and Education Committee's R&D and extension expenditures, funded by the only long-standing producer levy in the UK. These expenditures are used to explain the difference between total factor productivity (TFP) growth in sugar (3.5 per cent per annum) and the rest of UK agriculture (2.0 per cent per annum). The producer's ROR calculated using this approach is 11 per cent and the lower bound on the total return, to producers and consumers is 21 per cent, whereas the conventional methodology gives returns of 87 per cent. Thus, the upward bias in ROR calculations may be removed by changing the approach to the problem.     

Is there a slowdown in agricultural productivity growth in South America?

This article estimates agricultural productivity growth in 10 South American countries in 1969–2009 with the objective of investigating if the slowdown being measured in other countries is present in the region. Results show that productivity growth accounts for half of the three‐fold increase in agricultural output during this period and that performance is sensitive to R&D investments in the sector. The slowdown found for the 1990s to 2000s in the U.S. and some European economies does not seem to be present yet in South America. The region's total factor productivity (TFP) growth rate increased steadily from 1.07% during the 1970s to 2.29% during the 2000s. Given lags in adoption and the adaptive nature of innovations in these economies, we have yet to see the potential effects in South American agriculture of decreases in R&D in advanced economies.     

Is a slowdown in agricultural productivity growth contributing to the rise in commodity prices?

A slowdown in the rate of agricultural productivity growth is thought by many observers to be contributing to the recent rise in agricultural prices. In this article I decompose sources of output growth in global agriculture into aggregate input and total factor productivity (TFP) components and examine whether productivity growth slowed substantially in the years leading up to the recent rise in commodity prices. Contrary to widely held perceptions, I find no evidence of a general slowdown in sector‐wide agricultural TFP, at least through 2006. If anything, the growth rate in agricultural TFP accelerated in recent decades. However, the results do show a slowdown in the growth of agricultural investment. Accelerating TFP growth largely offset decelerating input growth to keep the real output of global agriculture growing at about 2% per year since the 1960s. Regionally, however, agricultural productivity performance has been uneven. These findings have important implications for the appropriate supply‐side policy response to the current agricultural price crisis.     

Productivity and Environmental Performance in Marketing Cooperatives: An Analysis of the Spanish Horticultural Sector

The paper analyses the productivity of marketing cooperatives incorporating environmental inputs/outputs. In the European agriculture, expectations for attaining sustainable and competitive agriculture rely to a great extent on the cooperative sector's ability to adapt to new market conditions. These challenges have led marketing cooperatives in the fruit and vegetables sector to consider improvements in productivity and sound environmental performance. The study analyses the total factor productivity related to environmental variables in this sector using a parametric‐stochastic approach and panel data on Spanish cooperatives over the period 1994–2002. Additionally, the determinants of environmental productivity are examined econometrically. The estimates obtained show an increase in efficiency for the period under study and a relationship between productivity changes and management factors, such as labour quality, capital intensity and environmental spillover.     

Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach

Quota regulations that prevent output expansion of farms and reallocation of output between farms can cause lower growth in output and productivity. The aim of this study was to explain the output growth rate of Norwegian dairy farms since 1976, and to decompose it into output, input, socioeconomic and technical change components. Instead of using the standard distance function approach for multi‐output technologies, we use a growth rate formulation, which automatically removes the farm‐specific effects. This formulation also helps to impose non‐negativity constraints on marginal products of inputs (input elasticities), which are often violated for many observations, especially when flexible functional forms are used. The farm‐level panel data cover three periods: before the quota scheme was introduced (1976–1982); the period with the most output‐restricting quota scheme (1983–1996); and the period with a more flexible quota scheme (from 1997 onwards). Results show that the milk quota regulations had a significant constraining effect on output growth, in particular on milk output in the period 1983–1996. Furthermore, the output mix has shifted towards meat production for the average farm. What emerges from this study is that output growth and technical change are negatively influenced by policy aims where productive performance has not been the primary objective, and that there is scope for increased farm growth if the quota regime is liberalised.     

MEASURING PRODUCTIVITY GROWTH IN AUSTRALIAN BROADACRE AGRICULTURE

An important source of growth for Australian broadacre agriculture has been technical progress. We compare alternative measures of productivity growth including the traditional Tornqvist-Thiel total factor productivity index; variants of this approach that allow decreasing returns to scale; the Fisher ideal index; other nonparametric measures that do not impose particular functional forms and an econometric estimate from a translog industry cost function. The annual growth in productivity in broadacre agriculture over the period from 1953 to 1994 was in the range of 2.4 to 2.6 per cent and hence was quite robust to measurement technique.     

Public infrastructure and productivity growth in Greek agriculture

Recent research has focused on the effect of public infrastructure on economic performance. In this paper, a model of Greek agriculture's technology and behaviour is constructed based on the dual cost function framework. The model provides a decomposition of productivity growth into the components technical change, returns to scale, and public infrastructure. The empirical estimates indicate that public infrastructure investment provides a significant return to agriculture and augments productivity growth. Over the period 1960–1995, the impact of public infrastructure on productivity growth in livestock and crop production is found to be positive, although it has been declining since the late 1970s. These results strongly suggest that a decline in public infrastructure investment can partly explain the observed decline in the productivity growth of Greek agriculture in the 1980s.     

Agricultural Growth and Inter‐Sectoral Linkages in a Developing Economy

Does growth in the manufacturing sector of an economy spillover to agriculture, or do sectors share similar growth rates only when they share some common exogenous stimuli? The limited number of investigations of this issue, for cross‐sections of countries, have found some evidence in favour of spillovers, though the methodologies used cannot readily separate correlation from causation. Adapting the Feder (1982) model of sectoral externalities to a time‐series context, we examine how far agricultural output in Malaysia has been affected by inter‐sectoral spillovers. Our results suggest that expansion of manufacturing output, though associated with reduced agricultural output in the short‐run, is associated with agricultural expansion over the long‐run. Service output growth on the other hand seems to have been inimical to agricultural growth in both the short‐ and long‐runs, while causality testing supports the case for spillovers rather than “common causes”. Evidence on sectoral productivity is consistent with neoclassical arguments suggesting that the benefits of higher productivity in manufacturing tend to spill over to agriculture, encouraging productivity convergence.     

The political economy of agriculture for development today: the “small versus large” scale debate revisited

The role of agriculture in economic development and the development politics of promoting smallholder versus large‐scale agriculture have both been at the center of a long‐lasting and controversial debate. Using an innovative methodology which combines a value chain approach with input‐output‐analysis, the growth multipliers and productivity of both farm types in Guatemala are analyzed. Results show that smallholder agriculture has the same potential to stimulate output growth as large‐scale agriculture. Smallholder value chains include mainly informal sectors and create more jobs than commercial agriculture. Therefore, a reorientation of agricultural and land policies toward small‐scale food producers and within a comprehensive policy of integrated rural development is not only necessary in terms of social equity but also for boosting economic development.     

Resource reallocation and its contribution to productivity growth in Australian broadacre agriculture

This article uses farm survey data to measure the contribution of cross‐farm resource reallocation to industry‐level productivity growth in Australian broadacre agriculture. We show that resource reallocation between farms mainly occurred between incumbent farms and between farms with different productivity growth. Resource reallocation is estimated to account for around half of the industry‐level productivity growth that occurred between 1978 and 2010, and its contribution appears to have increased over time. Moreover, we also show that resource reallocation effects vary across different inputs, partly due to their different mobility. This analysis improves our understanding of how reforms targeting structural adjustment – and the resource reallocation this generates – can influence aggregate productivity growth.     

Productivity and Convergence in European Agriculture

We investigate relative productivity levels and decompose productivity change for European agriculture between 2004 and 2013. Specifically (i) we contribute to the debate on whether agricultural Total Factor Productivity (TFP) has declined or not in the European Union (EU); (ii) we compare the relative TFP level across EU Member States and investigate the difference between ‘old’ Member States (OMS, i.e. the EU‐15) and ‘new’ Member States (NMS); and (iii) we test whether TFP is converging or not among Member States. The empirical analysis applies an aggregate quantity framework to country‐level panel data from the Economic Accounts for Agriculture for 23 EU Member States. The results imply that TFP has slightly decreased in the EU over the analysed period; however there are significant differences between the OMS and NMS and across Member States. Finally, our estimates suggest that productivity is generally converging over this period, albeit slowly.     

Short and long‐run returns to agricultural R&D in South Africa,or will the real rate of return please stand up?

This paper briefly presents the results of a total factor productivity (TFP) study of South African commercial agriculture, for 1947‐1997, and illustrates some potential pitfalls in rate of return to research (ROR) calculations. The lag between R&D and TFP is analyzed and found to be only 9 years, with a pronounced negative skew, reflecting the adaptive focus of the South African system. The two‐stage approach gives a massive ROR of 170%. The predetermined lag parameters are then used in modeling the knowledge stock, to refine the estimates of the ROR from short‐ and long‐run dual profit functions. In the short run, with the capital inputs treated as fixed, the ROR is a more reasonable 44%. In the long run, with adjustment of the capital stocks, it rises to 113%, which would reflect the fact that new technology is embodied in the capital items. However, the long‐run model raises a new problem since capital stock adjustment takes 11 years, 2 years longer than the lag between R&D and TFP. If this is assumed to be the correct lag, the ROR falls to 58%, a best estimate. The paper draws attention to the possible sensitivity of rate of return calculations to assumed lag structure, particularly when the lag between changes in R&D and TFP is skewed.     

农业周期性波动对农业长期增长趋势的影响——基于省际动态面板数据的研究

1949年以来,中国农业一直呈现较大幅度的周期性波动,长期来看,农业具有增长趋势,不同阶段的农业增长有起有落。以1952~2011年间(1952年为基期)的农业总产值定基指数为原始数据,采用农业的7年期中心化移动平均增长率来表示农业的长期增长,以农业增长率的7年期滚动标准差系数度量农业的周期性波动,建立基于1956~2008年期间省际动态面板数据,运用差分GMM估计方法,首次从一般意义上实证考察了中国农业周期性波动对农业长期增长趋势的影响,试图对农业周期性波动是否会影响农业长期增长趋势以及如何影响这一问题做出回答。结果表明,总体上,农业的周期性波动对农业的长期增长具有正面影响,不同区域不存在异质性。从分段样本考察结果看,不同阶段由于农业制度变迁导致二者关系发生了变化。1981~1990年和2001~2008年两段期间由于先后实行农村的经济制度从生产队体制向家庭联产承包责任制转变和农村税费制度改革,导致农业的周期性波动对农业的长期增长具有负面影响,其余期间表现为正面影响。     

Convergence and divergence in regional agricultural productivity growth: evidence from Italian regions, 1951–2002

This article analyzes long‐term agricultural Total Factor Productivity (TFP) growth at regional level by testing its time‐series properties and identifying factors associated with divergence as opposed to convergence. The empirical application concerns Italian regions over the 1951–2002 time period. TFP growth decomposition ultimately attributes the observed productivity growth performance to these contrasting (convergence vs. divergence) forces. We find that technological spillovers are the key convergence force regardless of how the spillover effects are computed. At the same time, forces favoring convergence are almost offset by divergence forces (mainly scale or learning effects). This decomposition may explain the persistence of TFP growth rate differences in Italian agriculture, and could be applicable elsewhere.     

Does individualization help productivity of transition agriculture?

There are large differences across transition countries with respect to agricultural‐sector performance and corresponding scope of farm restructuring and shift to individual farming. In this article we analyze the impact of individualization on productivity growth within an augmented neoclassical growth model framework. This approach allows us to circumvent criticisms on the grounds of lack of theoretical and objective criteria for inclusion of explanatory variables. Furthermore, in the empirical analysis using a panel data covering 15 transition countries over the period 1990–2001 and applying a generalized method of moments with instrumental variable estimator we are able to control for the impact of various factors and the potential endogeneity of variables. Our estimation results are robust and support the view that the shift to individual farming, as well as the overall economic reforms, has positively contributed to the productivity growth in agriculture during the first decade of transition.     

Sources and Measurement of Agricultural Productivity and Efficiency in Canadian Provinces: Crops and Livestock

This paper measures and assesses the variation in total factor productivity (TFP) growth among Canadian provinces in crops and livestock production over the period 1940–2009. It also determines if agricultural productivity growth in Canada has recently slowed down as indicated by earlier studies. The paper uses the stochastic frontier approach that incorporates inefficiency to decompose TFP growth into technical change (TC), scale effect (SE), and technical efficiency change. The results indicate that productivity changes were mainly driven by TCs for crops, while the productivity changes in livestock was mainly driven by SEs and technical progress. Though change in technical efficiency is mainly positive (except for New Brunswick and Nova Scotia), its contribution to productivity growth was very little for the provinces. We also found that over the entire period, the productivity growth rates for the crop subsector are on average higher for the Prairie provinces than for the Eastern and Atlantic provinces. On the other hand, the productivity growth rates in the livestock subsector are on average higher in the Eastern and Atlantic provinces than in the Prairie region with the exception of Manitoba. Finally, we found that though there is some evidence of a recent decline in productivity growth for the crops subsector, there is no such evidence in the livestock subsector.