Do subsidies cause a less competitive milk market in China?

After 2008, China dairy industry has experienced a consolidation supported by the government mainly for the reason of food safety. Subsidies are one of the tools to shape a concentrated market with goals of reducing regulation cost and accomplishing quality control. This gives a serious concern that subsidies would generate a less competitive dairy industry. We construct a parametric model and use the firm‐level panel data, specifically the top eight dairy firms, to test if government subsidies strengthen the market power in the dairy industry. Our empirical results indicate government subsidies have a negative impact on the Lerner index for the top privately owned firms, but no significant effect on state‐controlled ones after controlling for advertising, time trend, and proprietorship. It is possible that the subsidies give more room for private firms to increase the scale or suppress the price, which eventually reduces the market power and benefits dairy customers in the downstream.     

Persistence of firm‐level profitability in the European dairy processing industry

Based on autoregressive (AR) models and Arellano‐Bond dynamic panel estimation, this article analyses profit persistence in the European dairy processing industry. The sample comprises 590 dairy processors from the following five countries: Belgium, France, Italy, Spain, and the United Kingdom. The AR models indicate that cooperatives which account for around 20% of all firms in the dairy processing sector are not primarily profit oriented. In addition, the results point toward a high level of competition as profit persistence is rather low even if cooperatives are excluded. The panel model reveals that short‐ as well as long‐run profit persistence is influenced by firm and industry characteristics.     

Implications of the Comprehensive Economic and Trade Agreement for Processed Food Markets

Canada and the European Union (EU) recently completed the Comprehensive Economic and Trade Agreement (CETA) to liberalize bilateral trade. Processed food trade between Canada and the EU is one of the fastest growing markets, in spite of large trade restrictions due to high tariffs and egregious nontariff barriers (NTB). The processed food sector is characterized by firms which differ in size, productivity, produce differentiated products, and engage in monopolistic competition. We implement a four‐region (Canada, the EU, the United States, and the Rest of the World) model of the processed food industry, incorporating these firm characteristics to study the effects of CETA. The results show Canadian and EU bilateral trade flows expand, the number of exporting firms rises, and net welfare in both these countries increases. Though CETA does not liberalize NTBs, we examine the impacts of a 40% cut in NTBs to highlight the benefits that would have accrued had CETA also covered NTBs. Under this scenario, the trade flows would have expanded significantly, and, more importantly, Canadian and EU welfare would have risen by 11.8‐ and 39.4‐fold, respectively. Since CETA excludes the United States, the U.S. processed food industry loses due to greater competition in Canadian and the EU markets, and the net U.S. welfare declines.     

The impact of the 2008 financial crisis on dynamic productivity growth of the Spanish food manufacturing industry. An impulse response analysis

The emergence of a financial crisis is an event that can impact the fortunes of nearly all economic agents. The focus here is on the 2008 financial crisis and how firms’ productivity growth was impacted by this crisis in the years that followed. This article focuses on dynamic productivity growth and its components using a firm‐level data set of Spanish meat processing, dairy processing, and oils and fats firms. The impulse response analysis shows that the impact of the crisis on dynamic productivity growth is negative and persistent in the oils and fats industry, initially positive but then negative in the meat processing industry, and positive in the dairy processing industry. The observed magnitudes of change in indicator are between 2% and 5% for oils and fats industries, and of 1% in both dairy and meat industries. Our analysis further confirms that firms’ size is an important factor in explaining how crisis impacts dynamic productivity growth and its components, while we find only slight evidence regarding the firms’ experience in the market.     

The Determinants of Firm Profitability Differences in EU Food Processing

This paper decomposes the variance in EU food industry return‐on‐assets into year, country, industry and firm effects using a hierarchical linear model (HLM). The HLM approach accounts for some of the methodological drawbacks of conventional approaches of variance decomposition such as anova and components of variance and additionally allows the estimation of the impact of covariates within each effect level. The results for selected EU countries show that firm effects are far more important than industry structure in determining food industry profitability. In particular, firm size and industry concentration are drivers of profitability while firm risk and age as well as industry growth have a negative influence.     

The Determinants of Employment in Foreign Firms in the UK Food Manufacturing Sector: A Note

This paper seeks to evaluate the factors that have given rise to the large presence of foreign firms in the UK food and drink manufacturing sector. Foreign Direct Investment (FDI) in food and drink manufacturing is very high – the second highest for any manufacturing sector in the UK economy. An empirical model is tested on 48 5‐digit sectors in the food industry and we find that brands, skills and a low propensity to export positively affect employment in EU‐owned firms. Alternatively, employment in non‐EU owned firms is affected by propensity to export factors and by the effective tariff rate.     

Measuring Market Power for Food Retail Activities: French Evidence

In this paper we develop and estimate an empirical model of pricing behaviour for food retail firms in both a quantity‐setting oligopoly engaged in the joint production of demand‐related final goods and a quantity‐setting oligopsony for supply‐unrelated wholesale goods. The procedure consists of estimating an inverse demand system for the final goods, single supply functions for the wholesale goods and the retail industry first‐order profit‐maximisation conditions, from which an estimate of the degree of imperfect competition and of oligopoly‐oligopsony power for the different commodities can be retrieved. The model is applied to the French food retail industry and three commodities are distinguished: dairy products, meat products and other food products. We strongly reject the hypothesis that French food retail firms behave competitively, and more than 20 and 17 per cent of the wholesale‐to‐retail price margins for dairy products and meat products, respectively, can be attributed to oligopoly‐oligopsony distortions.     

Heterogeneity of Long‐run Technical Efficiency of German Dairy Farms: A Bayesian Approach*

In parametric efficiency studies, two alternative approaches exist to provide an estimate of the long‐run efficiency of firms: the dynamic stochastic frontier model and the generalised true random‐effects model. We extend the former in order to allow for heterogeneity in the long‐run technical efficiency of firms. This model is based on potential differences in firm‐specific characteristics and in firms’ inefficiency persistence. The model is applied to an unbalanced micro‐panel of German dairy farms over the period 1999 to 2009. Estimation of long‐run technical efficiency and inefficiency persistence is based on an output distance function representation of the production technology and estimated in a Bayesian framework. The results suggest that heterogeneity in long‐run technical efficiency of farms is mostly attributed to discrepancies in farm‐specific factors rather than differences in farms’ inefficiency persistence. Farm size is positively related to long‐run technical efficiency while subsidies exert a negative effect on the long‐run technical efficiency of farms. Inefficiency persistence is found to be very high, but heterogeneity in this persistence is low.     

Comovement of dairy product futures and firm value: returns and volatility

This study investigates the exposure of dairy firm stock prices to the prices of dairy product futures, in terms of returns and volatility, from May 2013 to April 2018. Stock price returns are regressed against an index of the futures price returns to four dairy products – milk, cheese, butter and dry whey – to isolate the effects of the dairy futures price returns. Dairy product futures price returns are found to be significant in the regression in the first three years of the sample period, with a mean coefficient of ?0.024. Using the Diebold‐Yilmaz volatility spillover method of forecast error variance decomposition, we show that the volatility of the four dairy product futures accounted for an average of 5.49 per cent of the volatility of dairy stock prices. These results suggest that the prices of dairy firms have minimal exposure to dairy product futures prices. This has implications for dairy firms and investors, who seek to understand volatility and returns in the dairy products and the stocks they trade in, and for policymakers, who seek to control or mitigate undesirable dairy product price volatility.     

Imported Intermediate Inputs and Firms’ Productivity Growth: Evidence from the Food Industry

Imported goods play a central role in determining the gains from trade. Using detailed trade and firm‐level data for Italy and France, we investigate the relationship between trade integration, imported intermediate inputs and firm performance in the food industry. Our main findings show that an increase in import competition spurs firm‐level productivity growth. Furthermore, the productivity growth effect attributable to imported intermediate inputs is significantly stronger than the effect due to imported final products. In addition, we find that new imported inputs are of particular importance, especially for Italian food firms, though less so for the French firms. Finally, the productivity growth effect of trade integration tends to be asymmetric across firms: more productive firms gain more from trade integration. These stylised facts have interesting policy implications.     

Investment Spikes in Dutch Greenhouse Horticulture

The presence of investment cycles demonstrates the long‐run policy of firms investing in particular periods (investment spikes) with lower or zero investment levels in between, which contradicts the smooth pattern predicted by a convex adjustment model. This paper investigates the spells between investment spikes in a discrete‐time proportional hazard framework to estimate the probability of observing lumpy investment and factors underlying lumpy and intermittent patterns of investment. Duration models were estimated on two datasets: on an unbalanced panel and on average data of 10 ‘firm size’ groups of Dutch greenhouse firms over the period 1975–1999. Two specifications of the model were estimated: one includes only theoretically grounded variables, and the other specification is extended by empirically grounded variables. Theoretically based models can explain the occurrence of investment spikes. Both specifications of model show an investment cycle of six years. This is also confirmed for the average firm, which exhibits a higher hazard ratio in the 6th, 12–13th and 21st years of duration.     

Uncertain Land Availability and Investment Decisions: The Case of Dutch Dairy Farms

Within the EU, uncertainty about the possibility of acquiring land can be quite significant for individual farmers in sectors like dairy farming. Farm‐level investment decisions are commonly made ex‐ante, when the farmer is not certain about the possibility of purchasing land. This possibility is realised only in a future period. In this paper, we have developed and applied a simple two‐period model in which a profit‐maximising farmer, facing uncertainty about the possibility of acquiring land, has to choose the optimal mix of capital (buildings) investment and land endowment. We illustrate the model using data from Dutch dairy farms.     

Are In‐House and Outsourcing Innovation Strategies Correlated? Evidence from the European Agri‐Food Sector

We analyse European agri‐food firms’ choices about innovation in‐house or through outsourcing and provide empirical evidence about the correlation between these strategies. The relationship between the innovation strategy and firm‐, industry‐ and innovation‐specific characteristics is analysed through a bivariate probit model, which uses firm data from the EFIGE Bruegel‐UniCredit dataset. Transaction cost, resource base and knowledge governance arguments are used to explain the choice of innovation strategy. Our results show that the decisions to innovate in‐house or through outsourcing are independent from each other. In addition, we find that several organisational characteristics such as communication systems, human resource practices and specialisation are likely to influence both strategies. Conversely, organisational characteristics such as the allocation of authority and the business network do not seem relevant in determining the innovation strategies of the European agri‐food sector.     

Environmental Externalities,Comparative Advantage,and the Location of Production: An Application to the Canadian Dairy Industry

The traditional theory of comparative advantage has not been well integrated with the theories of externalities and location. In this paper we develop a conceptual framework which undertakes such an integration at the firm and regional levels. We call this the General Equilibrium with Individual Spatial Heterogeneity and Externalities (GEISHE) model. We use the model to study the effect of spatial heterogeneity in emission intensity on the spatial distribution of production under a uniform emission standard. This model suggests that the introduction of an emission restriction can have differential effects on the spatial patterns of production, depending on local production intensity. We also present empirical analysis of intraprovincial movement of production for the Canadian dairy industry using 1996 and 2006 Census data. Ceteris paribus, areas that had higher dairy production intensities in 1996 also tended to experience higher declines in their dairy cow populations between 1996 and 2006, which is consistent with the GEISHE model. These results suggest that environmental pressure may change the patterns of comparative advantage within a supply managed industry, even if relocation of production across provincial boundaries is not permitted. Expression of environmental comparative advantages seems to be taking place within provinces.     

The transformation of the Indian agricultural input industry: has it increased agricultural R&D?

Indian agricultural input industries have gone through a major transformation in the last 40 years. State owned firms grew during the Green Revolution and then stagnated or declined. Indian corporations that were protected from foreign competition are now exporters of agricultural tractors and pesticides. Foreign multinational corporations are rapidly increasing their role in the seed, pesticide, and tractor industries. Entry by large Indian firms and multinationals has increased competition in the input industries. Private agribusiness R&D in India grew from $23 million in 1985 to $250 million in 2009 in 2005 US dollars. This is the same time period as a transformation in the agricultural input industry, rapid growth in demand for agricultural inputs, breakthroughs in information technology and biotechnology, and changes in intellectual property rights. An econometric model was used to test whether the transformation of agricultural input industry was a major factor in the growth of R&D expenditure or not. This article analyzes a unique, firm level sales and R&D data set from the seed, pesticide, tractor, and fertilizer industries in 2000–2009. The estimated model indicates that agribusiness firms' R&D expenditures from 2000 to 2009 were positively related to variables associated with industry transformation such as firm size, ownership by multinationals, and declining industry concentration. The model also indicates that strengthening patent policy as well as growth in the size of research‐intensive industries like the seed industry contributed to the growth of agribusiness R&D in India.     

Winners and losers from food industry policy: An application to Danish food industry firms

Policy impacts on food industry firms are investigated. A new approach is presented for the analysis of food industry policies that focuses on food industry firms. Data from a survey of Danish firms in 2003-2004 are used to define and construct tables of winners and losers from 30 regulatory areas. Two forms of statistical test are employed in a grid-search to identify association between regulatory areas, types of firms, and patterns of winning and losing. Results indicate that the type of firm, rather than the policy instrument, determines patterns of winning and losing. Upstream and downstream ownership of assets by food industry firms, and their trade orientation, are shown to be the most important variables. For several policy areas the pattern of winning and losing is found not to be associated with any specific firm types, which indicates that their impact is neutral across all types of firms studied. Firm size was found to be poorly associated with firms' capacity to win and lose from several policies involving high-investment compliance.     

Impact of trade liberalisation on dairy market price co‐movements between the EU,Oceania, and the United States

This study investigates the impact of trade liberalisation on the spatial price co‐movements between the dairy markets of the EU, Oceania, and the United States. We consider two main dairy products, namely butter and whole milk powder (WMP), and employ R‐Vines to assess the development of the tail dependence between the price series. We split the time span (i.e. 2000‐2017) in December 2007 to capture the change in the tail dependence as well as in the potential of each region to act as the central market. Our findings indicate that the EU acts as the central market for butter in both sub‐periods, whereas the EU succeeds Oceania in acting as the central market for WMP from the first sub‐period to the next. Further findings highlight slightly increasing tail dependence in the butter market and in the WMP market for the EU‐OCE and EU‐US pairs. However, the tail dependence for the WMP prices between Oceania and the United States weakens, in which we attribute to the 2013 Chinese ban on milk powder imports from Oceania.     

Brexit and Tariff Rate Quotas on EU Imports: A Complex Problem

Tariff rate quotas (TRQ s) are a means by which non‐EU suppliers of agri‐food products can be given preferential access to EU markets within a regulated framework of quotas at tariff rates below the Most Favoured Nation rates bound in the GATT . TRQ s are common in governing trade in the meat and dairy sectors of the EU , although they apply to a wide range of other agricultural commodity and processed agri‐food products. Brexit poses a complex set of problems regarding TRQ s in terms of how the respective parties should divide up jointly undertaken commitments within the WTO , since TRQ s have been negotiated by the Commission on behalf of all EU Member States. Whilst individual quota allocations can be allocated to specific third country suppliers, individual Member States receive no specific allocation of the global product TRQ either in total, or from any named preferential supplier. The article outlines the nature of TRQ s in the meat and dairy sectors of the EU , and how a simple partitioning of existing quotas between the EU ‐27 and the UK is unlikely to resolve the complex issue of access rights of third countries to both markets. Possible solutions are explored, including the potential need for reciprocal EU ‐27–UK TRQ s post Brexit.     

Sources of Firm Performance Differences in the US Food Economy

Researchers in economics and strategy have long been interested in understanding the determinants of firm performance. We apply the relatively novel approach of hierarchical linear modelling (HLM) to a large panel of food economy firms to shed new light on the long‐standing debate about the relative importance of industry, corporate parent and business unit effects on firm profits. Our results suggest that business unit and corporate effects are more relevant than industry effects in explaining firm performance differences in the food economy. In addition, we also explore the effect of specific strategic factors on performance within each level of analysis. In particular, we find that business‐segment size, industry barriers to entry, corporate diversification, R&D intensity, capital intensity and resource availability are significant predictor variables that explain firm performance differences. Given the relatively important role of corporate effects and the positive influence of corporate strategic variables on business unit performance, our findings suggest that the environment provided by corporate parents significantly affects business unit profitability. In other words, corporate strategy does matter and thus should continue to draw attention from scholars interested in explaining profitability in the food economy.     

Innovation and University‐Firm R&D Collaboration in the European Food and Drink Industry

In the National Innovation System (NIS), knowledge is produced and accumulated through interactive innovation processes that are embedded in a national context, which in turn may help determine innovation. This paper investigates how product and process innovations in the European food and drink industry are affected by: (i) NIS structure; (ii) NIS output in terms of scientific publications and the supply of graduates; (iii) NIS cohesion and coordination; (iv) NIS scientific impact and specialisation. The main source of data on innovation by firms is the EU‐EFIGE/Bruegel‐UniCredit dataset. This is supplemented by information from the International Handbook of Universities, Eurostat and a bibliometric analysis of academic research output. Our results suggest that large research institutions in the public sector may well be detrimental to interaction between university and industry and to process innovation. The indicators used for public research assessment are not necessarily the most appropriate proxies of local knowledge spillovers.