Agricultural price transmission across space and commodities during price bubbles

This article investigates agricultural price transmission during price bubbles. The empirical approach concerns the horizontal transmission of cereal prices both across different market places and across different commodities. The trade policy intervention put forward to mitigate the impact of price exuberance is considered. The analysis is performed using Italian and international weekly spot (cash) price data over years 2006–2010, a period of generalized turbulence of agricultural markets. Firstly, the properties of price time series are explored; then, interdependence across prices is specified and estimated by adopting appropriate cointegration techniques. Results suggest that the bubble had only a slight impact on the price spread and the temporary trade‐policy measure, when effective, has limited this impact.     

Immigrant business enterprises: A classification framework conceptualization and test

This article proposes the Immigrant Business Enterprises Classification Framework to organize immigrant‐owned businesses into categories associated with different levels of business integration into a host country's mainstream business community. The article applies the framework and reports the findings of structured face‐to‐face interviews with 199 Hispanic business enterprises (HBEs) in Indianapolis. The authors find Hispanic‐owned businesses hold different characteristics depending upon the integration category in which they are classified; the findings suggest that to support immigrant entrepreneurship, governments, business development organizations, and researchers should address category‐specific challenges, opportunities, and needs. © 2010 Wiley Periodicals, Inc.     

How Effective are WTO Disciplines on Domestic Support and Market Access for Agriculture?

A new round of trade negotiations through the World Trade Organization (WTO) was launched in 2001. One of the major aims of the Doha Development Round is to reduce agricultural protection and impose greater discipline on domestic agricultural subsidies, particularly those that are the most trade distorting. In this article, we examine whether the proposed WTO modalities for agriculture will actually achieve this aim in Norway, which ranks among the top providers of government assistance for agriculture. Norway has a complex system of farm subsidies buttressed by substantial import protection. The extent to which its agricultural support policies will have to change in response to new WTO disciplines provides an important indication of how successful these are likely to be. We find that Norway will probably be able to sustain its current agricultural activity and production levels while staying within the new WTO rules. Following recent practice in some other WTO members, Norway will be able to reduce its notified support without making real changes in some of its programmes. However, there will have to be a shift from market price support, which is paid for by consumers through higher food prices, to budgetary support paid by taxpayers. This could generate increased domestic pressure for policy reform.     

Designing and evaluating sustainable development pathways for semi‐subsistence crop–livestock systems: lessons from Kenya

Achieving the Sustainable Development Goals (SDGs) in African agriculture requires a better understanding why high levels of poverty and resource degradation persist in African agriculture despite decades of policy interventions and development projects. In this article, we hypothesize that policies need to account for the key features of the semi‐subsistence crop–livestock systems (CLS) in the region to become effective. The semi‐subsistence CLS are characterized by a high degree of biophysical and economic heterogeneity and a complex, diversified production system involving a combination of subsistence and cash crops with livestock. We investigated the potential for interventions proposed by the Government of Kenya to meet the SDGs by 2030. The analysis uses an integrated modeling approach designed to deal with the key features of these systems. A strategy that stimulates rural development, increases farm size to a sustainable level, and reduces distortions and inefficiencies in input and output markets could lead to a sustainable development pathway and achieve the SDGs for rural households dependent on CLS.     

Modelling the supply of ecosystem services from agriculture: a minimum‐data approach*

We argue that to support agriculture–environmental policy decision making, stakeholders need ‘quantitative back‐of‐the‐envelope’ analysis that is timely and sufficiently accurate to make informed decisions. We apply this concept to the analysis of the supply of ecosystem services from agriculture. We present a spatially explicit production model and show how it can be used to derive the supply of ecosystem services in a region. This model shows that the supply of ecosystem services can be derived from the spatial distribution of opportunity cost of providing those services. We then show how this conceptual model can be used to develop a minimum‐data (MD) approach to the analysis of the supply of ecosystem services from agriculture that can be implemented with the kinds of secondary data that are available in most parts of the world. We apply the MD approach to simulate the supply of carbon that could be sequestered in agricultural soils in the dryland grain‐producing region of Montana. We find that the supply curve derived from the MD approach can approximate the supply curve obtained from a more elaborate model based on site‐specific data, and can do so with sufficient accuracy for policy analysis.     

Interest-Rate Spread and Public-Debt Dynamics in a Two-Country Monetary-Union Portfolio Model

Tracking, monitoring and steering the evolution of public debt over time will be a major policy challenge for almost all governments in the advanced countries in the years to come, in particular for those belonging to the European Monetary Union. In this paper I study public debt dynamics in a two-country monetary union where a representative, risk-averse wealth-owner optimizes his/her portfolio of sovereign bonds issued in the common currency. I obtain two main results with respect to the standard country-by-country approach. First, the interest-rate spread between the two countries is endogenized as the higher-debt country pays a risk premium which is proportional to the level of its own debt with respect to the debt of the other. Second, its debt dynamic path becomes nonlinear and dependent on the evolution of the other country’s debt. The most important policy implication is that “dynamic interdependence” is not fully considered in the implementation of EMU fiscal rules, but it may may jeopardize their goal of convergence and stability of debt stocks.     

Monotone dependence in graphical models for multivariate Markov chains

We show that a deeper insight into the relations among marginal processes of a multivariate Markov chain can be gained by testing hypotheses of Granger noncausality, contemporaneous independence and monotone dependence. Granger noncausality and contemporaneous independence conditions are read off a mixed graph, and the dependence of an univariate component of the chain on its parents—according to the graph terminology—is described in terms of stochastic dominance criteria. The examined hypotheses are proven to be equivalent to equality and inequality constraints on some parameters of a multivariate logistic model for the transition probabilities. The introduced hypotheses are tested on real categorical time series.     

Building the Knowledge Stock: Lags,Depreciation, and Uncertainty in R&D Investment and Link with Productivity Growth

The search for an appropriate methodology to investigate the relation between R&D investment, knowledge stock and productivity growth is the main purpose of the paper. In analogy with physical assets, we present a model of knowledge capital formation which allows the calculation of the relevant user cost, as well. The proposed model accumulates R&D investment based on a stochastic gestation lag and a geometric depreciation of the stock. The basic parameters underlying the lag structure differ according to the types of research expenditure. The approach is applied to public R&D investment in Italian agriculture; the results provide interesting information about the economic structure of public research effort in Italian agriculture and plausible estimates of its internal rate of return.     

Designing business models in circular economy: A systematic literature review and research agenda

The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e., the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.