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Multi-Scale Integrated Analysis of Agroecosystems
preserve the special status of academic research has to become more open. To make this point clear,
consider the example of the making of a farm bill.
5.6.2 The Case of the U.S. Farm Bill 2002
The U.S. Farm Bill 2002 represents a clear change in (or a big revision of) the U.S. federal government’s
attitude toward regulation and intervention in agricultural development. The passing of this farm bill
has generated contrasting views and assessments on its overall quality (e.g., http://
www.sustainableagriculture.net/summary-5-6-02.htm).We can relate this example of decision making
to the discussion of analytical tools presented in Section 5.4. When making this decision, the U.S.
federal government must have selected this specific bill out of a set of possible alternative bills. To do
that, U.S. decision makers must have used a problem structuring similar to that represented in both
Figure 5.4 (in terms of impact matrix) and Figure 5.7 (in terms of social impact matrix). In this case, n
is the set of possible alternative ways of spending a certain amount of (billions of) dollars in implementing
a package of policies and m is the set of criteria used to represent and assess the expected performance
associated with the implementation of each of the alternative policies. Actually, it should be noted that
the decision about the amount of money to be spent in a farm bill could be considered itself as a
variable, rather than a constraint. In this case, different policies requiring the expenditure of different
amounts of billions of dollars should have been considered in the analysis. Obviously, the chosen
alternative (the actual “Farm Bill 2000”) must have been considered the “wisest” choice in relation to:
(1) a set of m multiple goals (e.g., economic viability of the agricultural sectors, food security, quality of
the food, environmental impact, social stress in rural community, protection of cultural values, etc.), (2)
a set of data and models characterizing n scenarios associated with the implementation of the n alternative
policies included in the problem structuring and (3) the legitimate contrasting perspectives of the
social actors considered relevant in such an analysis.
Put another way, to make this choice, the U.S. government must have used:
•
•
•
A problem structuring, implying decisions about (1) what is the set of relevant social
actors who have to be considered when deciding, (2) a set of criteria that are considered
relevant for this choice, (3) what is the set of criteria that are relevant to some stakeholders
but that can be neglected to satisfy other conflicting criteria and (4) a mix of policy options
that can be combined to generate the set of alternative bills considered.
A set of analyses (models and data) and predictions used to characterize the effects of
the possible policies on different descriptive domains through scenarios (e.g., in social terms,
economic terms, ecological terms, landscape use terms) characterized at different scales. That
is, to make such a decision, it has been necessary to have an idea of what will or could happen
when adopting the package of monetary and regulatory policies 1, 2 or 3. The MSIA of
different effects of each package must have been characterized using a set of different indicators
reflecting the relevant and legitimate contrasting views defined in the problem structuring.
A process of political negotiation among different interests and concerns associated
with the various stakeholders in the U.S. food system. The particular choice of one of the
possible policy packages (the actual Farm Bill 2002), in fact, implied that some stakeholders
got more benefits than others (implying that some of the criteria have been given more
priority than others).
Analysts of agriculture as well as social actors might have asked a number of questions about the
choices made by the U.S. government in this farm bill:
1.
2.
Could U.S. society at large and the various stakeholders in the U.S. food system have had a
better chance to form a clearer picture of what was the information space used by the
decision makers for organizing such a discussion?
Could U.S. society at large and the various stakeholders in the U.S. food system have been
involved in a more transparent process of discussion of the basic problem structuring (defining
the relevant criteria and defining possible options)?
© 2004 by CRC Press LLC
Integrated Assessment of Agroecosystems and Multi-Criteria Analysis
3.
4.
125
Could U.S. society at large and the various scientists and academic institutions have been
involved in a more effective multi-scale integrated analysis of possible effects of the various
alternative bills?
Could U.S. society at large and the various stakeholders in the U.S. food system have been
involved in a more transparent process of negotiation about the weights to be used when
dealing with contrasting perspectives about priorities?
If the answer to any of these questions is yes, then U.S. society at large and the various stakeholders in
the U.S. food system have lost an important opportunity to learn how to design, discuss, understand
and negotiate future farm bills in a better way. In the future, this ability will become extremely important
if the existing trends referring to the postindustrialization of a globalized world remain.
The context is changing so fast that the validity of the social contract used to define the various
roles that social actors have to play in the food system has to be monitored and negotiated on a regular
basis. This is why academic programs willing to deal with the sustainability problems of agriculture
should give top priority to the development of new tools and procedures for dealing with MSIA of
agriculture. Agriculture should no longer be considered just another economic sector producing
commodities. Rather, agriculture should be associated with a multifunctional set of activities associated
with land use.
At this point, we can try to answer the question about the role of academic programs dealing with
agriculture in the new millennium. The top priorities for academic programs of agricultural colleges
within the U.S. should be that of producing scientific information relevant for the discussion of a next
farm bill in 2008 and that of becoming able to make a difference in the shaping of the discussion and
the societal multi-criteria evaluation of the U.S. farm bill in the year 2014. In fact, future farm bills
should be able to better reflect (1) the continuous change in societal perception about what a food
system entails and (2) the growing scientific awareness about the ecological and social dimensions of
sustainability.
These two lines of research for agriculture can be related to the discussion about the two possible
interpretations for the term agroecology presented at the beginning of this chapter.The first of the two
interpretations (how to totally rethink agriculture) refers to the process of societal learning about how
to better design, discuss, understand and negotiate future farm bills in both developed and developing
countries. The second interpretation of the term agroecology is about the need to expand the option
space of the set of possible technical coefficients available to generate mixes of techniques of production
in various agroecosystems. This has to do with expanding knowledge about ecological and economic
performance profiles of individual techniques of production and integrated systems of production.The
usefulness of this second activity is associated with the beneficial effect of increasing the diversity of
potential performance profiles to be adopted in a multifunctional framework of land uses.
Obviously, the sustainability predicament of agriculture in both developed and developing countries
implies that more research is needed in both directions. For sure, the first direction of research is the
one that will provide a higher return in the short term, because of the clear obsolescence and cultural
lock-in of current mechanisms of policy interventions in the agricultural endeavor in both developed
and developing countries.
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