®
Volume 2, Number 1
Spring 2004
Feeding the Hog Industry in
North Carolina: Agri-Industrial Restructuring in Hog Farming and
Its Implications for the US Periphery
by
Donnie Charleston
North Carolina Central University
The emergence of vertically integrated pork production
is the central focus of this study. Agricultural enterprises like
any other are profit seeking entities that need a nurturing economic and
social-political environment to flourish. This study seeks to assess
the relationship of these sociological relationships in a specific spatial
context. North Carolina is the case of reference due
to its emergence as the second leading hog producer in the US. A
longitudinal panel analysis is conducted utilizing Census of Agriculture
data for years 1982, 1987, 1992, & 1997. Findings indicate that
hog population was predicted by the presence of large farms poised to assume
capital risks and low population densities. However, consistent with
the hypothesis, the number of small scale farms was not a predictor of
hog population. Notably, race was not found to be significantly related
to the increase in hog population. Median income was found to be
negatively related to swine concentration. Social and economic networks
are identified as important factors. The results reinforce the need
to examine the embedded nature of social and economic processes in a local
context.
Introduction
North Carolina has a rich agricultural history.
It has historically been the home of “big tobacco” and more recently has
emerged as one of the second largest hog producing states in the nation
(United States Department of Agriculture, 2003). There is a plethora
of research available focusing on the potential environmental and health
effects of concentrated hog farming facilities (Edwards and Ladd, 2000;
Cecelski and Kerr, 1992; Warrick and Stith, 1995; Schiffman et al., 1998).
There is however, limited research available regarding the antecedents
that facilitated this unprecedented growth in the hog population.
This paper presents a case study of hog industry proliferation in North
Carolina. Much of the available research focuses on economic and
or scientific aspects of the industry. Agricultural journals and other
publications have tried to explain the industry's growth in terms of market
forces and competition; economies of scale; and profit margins. And,
anthropologists have supplied insightful studies focused on the human component.
These explanations offer little insight into the social dynamics of the
industry. Taken as a whole, in both literatures there exist a wealth
of information. However, there is currently no research available
that gives an adequate, comprehensive and thorough analysis of the vertically
integrated hog industry. This work is an attempt to go
beyond these limitations and endeavors to synthesize the available research
in a holistic fashion.
The goal is to provide a framework for assessing
the context specific factors associated with this growth with attention
paid to not only the social but the political and industrial as well.
North Carolina’s relatively quick rise to prominence as a hog producer
and the resultant effects necessitates an analysis of the temporal agri-business
specific, social, and economic conditions that paved the way. Drawing
upon work founded on regulation theory, the aim is to contribute to the
political economy literature through the use of a comprehensive framework
capable of explaining agricultural change within the context of larger
economic forces, while simultaneously reinforcing the importance of embeddedness.
Much of political economy research focuses on regions
and seeks to extrapolate from analyses whether relationships hold up in
different social contexts. There is a tendency to focus on regions
seeking to assess and predict regional convergence.
While laudable, the efficacy of such theories is called into question.
There is support for more nuanced theories that recognize the uniqueness
of areas and the embedded nature of socio-political and economic processes
(Lobao et al., 2003). The argument herein focuses on two key points.
First, the hog industry in its present form is increasingly becoming vertically
integrated and Fordist modeled. This specific modality has tendencies
that drive continued development. Secondly, the farm structure in
a locality impacts the trajectory of future agribusiness development.
In the face of a changing economic climate, this reality has far reaching
implications for rural agriculturally dependent communities. This
study utilizes the proposed framework while synthesizing other theories
in an effort to explicate the recent developments in the hog farming industry.
Findings demonstrate the efficacy of this approach
as support is found for the major propositions. Proper historical
accounting combined with data analysis together lend credence to the proposition
that the hog farming industry was highly dependent upon the existence of
formal and informal networks; a ready infrastructure; and predicated upon
the existence of a farm structure with the necessary components.
Results show that these factors spurred initial growth and created the
necessary climate for future expansion. Furthermore, it is clearly
evident that the social and political history of the region created a fecund
environment for industrial hog production to flourish. The industry’s
need for a low wage labor force combined with the impoverished conditions
of the area made for an ideal venue.
Literature Review
The US economy has undergone significant changes
in the wake of transitions in what has been termed the Fordist regime of
accumulation. These changes are well documented as many have explained
these changes as the ushering in of the post-Fordist era and the new industrial/political/economic
arrangements (Piore and Sabel 1984; Storper and Walker, 1989; Lyson and
Geisler, 1992). Situating agriculture within the context of the larger
economy is a task that has been undertaken by such historical figures as
Marx, Lenin, and Kautsky. Each of these, while making notable contributions
to the political economy literature, are limited in their applicability
across time and context.
Marx forms the starting point for many theorists.
His analysis of agriculture primarily focused on: the extent of exploitation
of simple commodity producers; the persistence of what can be termed family
farming outside of the capitalist mode of production; the relationship
between ground rent and the crisis of capitalism; and his political analysis
set forth in the Eighteenth Brumaire (Friedland, 1991). Despite the
ubiquity and influence of Marx, his particular theory is largely viewed
as being applicable to the economic and political landscape of England
(Kenney et al., 1989).
The work of Kautsky, places emphasis on the relationship
between capital and the peasantry. His theory explains how the influence
of capital would eventually penetrate every sphere of agriculture, incorporating
the peasant [family farmer] into the capitalist mode of production (Alavi
and Shanin, 1988). He surmised that this would lead to the eventual
demise of the family farmer. His analysis provides invaluable insight
on the process by which this phenomenon occurs. Lenin similarly was concerned
with the relationship between the peasantry and capitalism. But like Kautsky,
concern for issues like revolution and the historically specific focus
limit their applicability to contemporary capitalist economies.
These three theorist succeeded in linking agriculture
to the larger economy, whereas contemporary theorists for the most part
have neglected this approach. Many have followed the lead of the
aforementioned theorist, but the tendency has been to narrowly focus on
certain aspects of agriculture and political economy. A notable
exception is the rural restructuring literature which is concerned with
the qualitative change from one form of social organization to another
(Hoggart, 2001). The primary focus is usually on the transition from
modernism to post-modernism or Fordism to post-Fordism. It places
emphasis on an integrated and holistic approach to the study of economic
transformation (Marsden, 1990). This approach has generally been
empirically tested only in urban arenas, but is viewed as having great
potential in its applicability to agricultural political economy (Friedland,
1991).
Kenney et al. provides a rich analysis of
the agriculture industry that assesses its historical development and current
state by explaining the penetration of Fordism into US agriculture (1991).
Founded upon the regulation school, this view seeks to identify the time-specific
institutional framework and accompanying norms of economic periods.
Largely this school seeks to explain the dynamics of economic cycles (specifically
capitalist cycles) both in periods of stability and transition (Aglietta,
1979; Lipietz, 1992). By focusing on the larger economic forces and
processes, this allows for the subsuming of other more debated theories
regarding agriculture and rural economy. Furthermore, this allows
for a greater understanding of agriculture in a post-Fordist environment
and the articulation of spatial realities.
According to this perspective, farmers were integrated
into circuits of finance capital following the establishment of New Deal
farm credit system and related policies. This coincided with advances
in technology that increased the dependence of farmers on purchases of
fertilizers, pesticides, feed, seed, and farm machinery. Sufficient
infrastructure development spurred integration of rural areas in to the
Fordist consumption norm (Kenney et al. 1991). Farmers simultaneously
became entrenched in mass production and consumption, becoming key players
in the Fordist transition.
The creation of a mass consumer market for agricultural
products was brought on by the institutional arrangements between labor,
industry, and the state that guaranteed a sufficient wage for the increasing
numbers of blue and white collar workers in American cities. Many
of the institutional arrangements have changed as the industry experienced
a major crisis beginning in the 1970’s. However, the fundamental
structure of the agriculture industry remains much the same. Regulationist
recognize that there is futility in designating a specific direction for
capitalist development or identifying the next phase of capitalism.
Regulation theory draws upon a variety of theories with the goal being
speculation of possible outcomes (Elam, 1994).
A contrasting approach is found in the neo-Schumpeterian
approach. This body of work is distinctive in that it promotes the
idea that cycles of capitalist development correspond with technological
developments and advancement (Freeman and Perez, 1988; Schumpeter, 1979).
Much emphasis is placed on the past cycle of capitalism and the dependence
upon industrial innovation. It posits that information technology
and the corresponding advances in computers and electronics will be important
to the new stage. Similar to other approaches, the demise of Fordist
organization is decried while promoting the emergence of flexibly specialized
agglomerations of industry and economies of scale (Freeman and Perez, 1988;
Schumpeter, 1979).
The deterministic bent of the neo-Schumpeterians and its
focus on technology, leaves it open to criticism. According to this
perspective, there will be an all encompassing eventual diffusion from
the nation-state to the individual firm. Recognition is given to
the interplay between social norms and technology, but emphasis is placed
on the fact that technological innovation will fuel the new economic age.
The theory leaves no room for the emergence and persistence of variegated
forms of industrial organization [and accompanying institutional norms].
The pork industry like the broiler industry which
preceded it, has established a foothold in the southern United States.
In its present state, the industry possesses the characteristics of a Fordist-modeled
enterprise. Though the post-Fordist literature is limited scope and
applicability, the dynamics of the post-Fordist period definitely dictate
the behavior of firms and actors. Regulation theory provides a foundation
from which to understand this phenomenon. This approach forms the
backbone of the proposed framework for this analysis. Rather than
acceptance of the notion that Fordism and its practices are completely
dead, this study proposes that during this phase of transition Fordist
modes of production and organization will persist in certain industries.
The technological focus of the neo-Schumpeterians
offers vital insight as well. Recognizing the importance of technology
is crucial especially in light of the extent to which technology has been
the catalyst that enabled the transition [in the hog industry] to this
mode of production. As alluded to above, determining the nature and
direction of the new economic order and the resultant institutional arrangements
is a lofty endeavor. History has shown and contemporary analysis
reveals, differing modes of production arrangements and accompanying institutional
norms can co-exist. These arrangements can and do vary by nation
state and the degree to which technology plays a factor will differ by
industry. Together each of these approaches will be drawn upon to
develop a comprehensive framework that recognizes the importance of technology
and emphasizes the cyclical nature of capitalist development.
Pork Industry Organization
With the advent of the grocery store, processed foods,
and fast food restaurants, changes in the meat industry have kept pace
by developing mass production systems for the production of meat (Blackbird
and Kerr, 1986). Up until recently, the pork industry relied heavily
upon traditional, less intensive networks of production centered in the
Midwest. There has been a substantial shift in the production capacity
of this region as the South has emerged as a large producer of hogs for
market. New production arrangements have materialized with the emergence
of the vertically integrated hog production facilities.
The characteristics of the hog and other meat industries
demonstrate that the heralding of the demise of mass production Fordist
norm may be premature (Chul-Kyoo and Curry, 1993). The characteristics
of post-Fordist era enterprises are typically cited as being: flexible
working times, individualized consumption and mass production for individual
needs, horizontal integration, flexible production and maximization of
market share as prime goal of economic activity, and integrated logistics
(Piore and Sabel, 1984; Storper and Walker, 1989; Hirst and Zeitlin, 1990;
Lyson and Geisler, 1992).
However, this study will attempt to show that the
post-Fordist literature is limited in its scope and applicability to the
agriculture industry. The agriculture industry has yet to embrace
and become integrated into these new arrangements preferring the adoption
of Fordist practices. This is especially true of the meat industry
(pork, poultry and beef). The meat industries are focused on mass
production and consumption arrangements; dependent upon a controlled wage
labor force; and increasingly aligned with the state to ensure their viability
(Blackford and Kerr, 1986). A hallmark of Fordism was the use of
technology to increase productivity. The new reality of the meat
industry is that the infusion of technology into the production process
has reached unprecedented new heights. This has accelerated the integration
of producers into the Fordist consumption and production norm (Benjamin,
1997).
Vertical integration is defined as the control of
two adjacent stages in the vertical marketing channel from producers to
consumers (Ward, 1998). Contract integration is the preferred method
in the pork industry. An increasing percentage of all pork is produced
through contract arrangements wherein the contracting corporation controls
all phases of production (Ward, 1998). Centralization has become
an important aspect of the industry both in terms of physical location
and operational efficiency. In this new mode of pork production,
pork processing companies have extensive control of the hog production
phase and product finishing. By concentrating all stages in a geographic
location and controlling each stage through restrictive contract arrangements,
the industry ensures maximum realization of profits.
This centralization is dependent upon the use of technology
to automate and reduce the dependence upon labor [during growing phases].
However, it is most important to note that the industry is heavily dependent
upon cheap labor in the processing phase. Pork slaughterhouses can
process hundreds of carcasses in a 24 hour time period to meet the growing
demand of consumers in the domestic and world markets (Benjamin, 1997).
Typically pork processing units are organized as labor intensive multishift
operations designed to extract the most value from the labor inputs of
the employees.
Through this arrangement, vertically integrated firms are
positioned to respond to the needs of a growing industry. The processed
pork supplies grocers with everything from pork roast to lean cutlets that
have become popular among today’s health conscious consumer. Supermarket
shelves are now dominated by “ready to eat and “heat and serve” meals
that include all manner of processed meat products including pork.
Additionally, there is a fast food market emerging as companies like McDonalds
have introduced products like the McRib, a pork based meat sandwich.
Aggressive ad campaigns by the industry falsely tout pork as “the other
white meat”, the goal being to tap into the healthy food market.
There is evidence of a growing niche market for organic
pork products, like the “free range chicken” market, these product are
marketed as being a healthy alternative (Wheatley, 2003). But
with the level of control exerted by dominant companies and the resultant
closing of small independent processing units, those wishing to access
this market may be forced into contract arrangements with the larger producers.
The result could potentially be mass produced variety if control stays
in the hand of the mega-processing corporations.
Markets are not random occurrences whose existence
is dependent solely upon economic forces and the rational actions of individuals
or firms. Markets coexist with and are shaped by other social relations
(Carruthers and Babb, 2000). This is the crux of the embeddedness
thesis. The emergence of a particular industrial arrangement will
depend upon the confluence of multiple factors germane to a locale and
time period. Recognition of this reality allows for a better understanding
of all related variables.
In the post-Fordist era, industry has a tendency
toward overcoming the limitation of regions and avoiding entrenched unionized
labor regions in favor of more welcome havens (Kenney et al., 2003).
Industries participate in rent seeking, searching for low land cost to
increase profitability. The US South has become such a place because
of right to work laws, low unionization; and overall impoverished conditions.
Industrial hog production has grown considerably in this region since the
early 1980’s. The historical concentration of pork production in
the Midwest is no longer the reality. It is too early to tell whether
this is a signal of a looming wholesale regional shift in production.
Moreover, it is uncertain whether the mode of production common in the
South is the new gold standard of the industry. Determining what
direction the industry will ultimately take is beyond the scope of this
study, however it is clear that there is a clear pattern emerging with
regard to its development.
As compared to the Midwest, the states of the southeastern
United States are more diversified in terms of commodity production.
Farms typically produce multiple crops in an effort to overcome the instabilities
of the market. North Carolina has traditionally been heavily dependent
upon tobacco production. This single commodity dependence combined
with the demise of the family farmer and the rise of industrial agriculture
assisted in the creation of a situation wherein the structure of agriculture
in the state facilitated the quick adoption of industrial hog farming.
Obviously, this structural transition was not particular to North Carolina.
So the question remains: Why did North Carolina experience such a surge
in pork production?
This study proposes that communities in distress
are being targeted for industrial hog production. The model
for this study asserts that this is an emerging pattern and seeks to explain
this development as a function of the confluence of the factors mentioned
above. Essentially, industry seeks environments with favorable market
conditions for survival. These conditions are dependent upon social
institutions and realities endemic to a specific locality. In the
case of North Carolina and the hog industry, overall economic conditions
contributed to the creation of an environment conducive to hog proliferation.
In addition to the economic conditions, social and political factors were
at work. The argument posed here is that these variables acted through
the intervening variable, distress and the rise in industrial hog production
and is a result of this dynamic (see Figure 1).
Historical Background
In the case of NC, there was a distinct internal
homegrown investment strategy undertaken in its garnering of a larger market
share in pork production. The organization of the industry facilitated
this process. Smaller producers were marginalized and unable to compete
in an emerging market which required sufficient capital investments.
The state’s agriculture is highly diversified but has historically been
heavily dependent upon tobacco.
For over 100 years North Carolina’s fortunes have
been linked to tobacco. Since the 1800’s and the discovery of the
flue cured method of tobacco curing, there has been intensive production
of the cash crop throughout the Piedmont and Coastal Plain regions.
Over the years, the tobacco industry in NC has undergone significant changes.
The industry was not insulated from the penetration of Fordism into agriculture,
tobacco farmers were integrated into consumption circuits as farmers strove
to survive.
With the development of the mechanical harvesters
the industry shifted from being labor dependent. Combined with acreage
and poundage restrictions, this forced consolidation and repercussions
throughout the state as smaller farmers left farming because of an inability
to keep pace with change (Hart and Chestang 1996). The deep entrenchment
of tobacco in NC set up a situation in which there was a race by farmers
to diversify their operations for fear of economic ruin (Hart and Chestang
1996). Hart and Chestang provide an overview of how corn, soybeans,
cotton, and later broilers were easily used to provide supplemental income
for farmers seeking to change their fortune (1996). Many of these
products required relatively low start-up cost allowing for the adoption
of the requisite technology for the transitions. Transitioning to
hog farming represents the latest diversification strategy which coincided
with the agricultural crisis and tumultuous changes in the national and
global economies.
There are no data available on the number of farmers
who have attempted this or other transitions. But, as early as the
1960’s, the state began the promotion of hog farming as a viable alternative
(Swine Odor Task Force, 1995). As stated above, there is a tendency
in industry in the post-Fordist era to seek out opportunities conducive
to the creation of profit through relocation. Beginning in the early
eighties, coinciding with the farm crisis that devastated the entire nation,
North Carolina began to increase its market share of pork production.
From 1982 to 1987 the swine population in the state increased by 25 percent
(State of North Carolina, Department of Agriculture, 1987, 1982).
Profits from vertically integrated complexes were extolled by industry
proponents and economist as having the potential to be greater than those
of the typically small to moderate sized arrangements that dominate the
Midwest (Hurt, 1994). In light of the states speedy adoption of hog
production, determining the extent to which this adoption is linked to
an areas declining fortune is critical. In analysis to follow, it
will be demonstrated that North Carolina became a bastion of hog farming
in part due to a welcoming economic climate; the emergence of investors
willing to take on capital risks; a substantial infrastructure; and the
lack of an organized political effort to forestall the advent of the industry.
An impediment to vertical integration is the presence
of an organized lobby allied against it. This study draws upon the
work of Havens and Newby, whose model recognizes that market forces alone
do not account for structural change in agriculture (1982). Their
work emphasizes the role of the state acting on the behalf of the public
interest in negotiating with actors with varying degrees of political power
and influence. In North Carolina the farming lobby has
not taken on the same issues as states like Iowa, therefore the protections
that exist for smaller corporate and family farming do not exist.
In Midwestern states, the organized farm lobby, in order to guarantee their
place and economic livelihood instituted laws preventing the entrenchment
of vertically integrated systems (Benjamin, 1996). The political
power and influence exerted in North Carolina initially came from
wealthy business interest and entrepreneurs and not family farmers.
The absence of influence from an organized political force effectively
sealed the deal. This case highlights the fact that the vertical
integration of livestock production is heavily dependent upon infusions
of capital and that capital plays an important role in policy negotiation.
The capital resources of the industry gave it a significant advantage with
respect to the ability to influence the agriculture policy.
These policy influentials were successful on the
legislative front. Specific laws were enacted in North Carolina to
facilitate the growth of the industry. Spearheaded by entrepreneurs
like Wendell Murphy, state congressman and one time owner of Murphy Farms
(until 1997, the second largest hog producer in the nation), these laws
blocked local opposition to the placement of CAFO’s (confined animal feeding
operations). Right to farm legislation was enacted to limit the liability
of farmers from nuisance suits brought on by community residents alleging
that the smell of hog operations is sickening. In 1991 a law
was enacted by the legislature to prevent counties from applying zoning
regulations to limit the size of hog operations. Further legislation,
exempted animal feed-lots from stringent state wastewater regulations and
limited the tax liability of these industrialists (Warrick and Stith, 1996).
The hog industry is now primarily concentrated in
the Coastal Plain region of North Carolina. In the short time period
1982-1997 there has been an explosion and an implosion in the industry’s
geographical location (Furseth, 1997). North Carolina’s Coastal Plain
is a part of the Black Belt region of the United States. This region
extends from Virginia to Texas and is one of the most impoverished regions
of the country (Wimberley, 2002; Wimberley and Morris, 1993, 1996, 1991;
Wimberley et al., 1992; 1994, 1996). Critics allege that the concentration
of massive hog complexes in this region was a deliberate targeting of rural
minority communities (Edwards and Ladd, 2000; Bullard 1990; Warrick and
Stith, 1996). North Carolina has a history of collusive partnerships
between business and the state. Considerable effort has been expended
to maintain a low wage labor force in the state by preventing high-wage
manufacturing from entering. These efforts were initiated to protect
the interest of local businesses like the textile industry (Wood, 1986).
With post-Fordism, the exodus of these previously stable income job opportunities
has increased. These communities are now struggling to
find alternatives for survival.
Industry proponents tout the advantages of pork production
as being: increased local tax base, jobs creation, and a boosting
of the local economy through increased purchasing from indigenous companies.
Seeking to boost the fortunes of rural North Carolinians, lawmakers paved
the way through the passing of the aforementioned legislation. In
recent years, the rural population of this area has been pitted against
the industry. The work of Havens and Newby focuses on the actions
of actors in the agricultural arena, but limiting the focus in this manner
ignores the role of other factions who hold a vested interest. Currently
there is a strengthening and growing network of groups and individuals
allied against industrial hog farming. This response to industrial
hog farming has moved beyond a local phenomenon to become regional and
national in scope. These groups include the local community organizations,
agencies with environmental interest, and universities [particularly historically
black colleges]. The coming together of these groups has culminated
in collective action. An engaged citizenry combined with resources
as well as effective techniques for lobbying and organizing provided for
a counter to the influence of capital and agricultural interest.
Actions initiated by these agents in conjunction
with the increasing environmental problems associated with the hog industry,
yielded concessions in the legislature. A moratorium was issued preventing
the location of CAFO’s in 1999. In 1997, local communities also won
back the ability to zone large hog operations. The growth in the
industry is now at a standstill as North Carolina is now viewed as an unwelcome
venue for further development.
The resultant fallout from the political wrangling
between stakeholders and the state affected the overall structure of the
agriculture industry and had dire implications for the small producer.
The new structure advantages larger producers over smaller as contracting
takes over as the primary means of entering into the network. Smaller
farmers are unable to enter into contracts due to the requirement for large
capacity and output. Contract farmers receive considerably higher
prices for their hogs for market as compared to independent producers (Cecelski
and Kerr, 1992). Smaller producers were pushed out at an alarming
rate as vertical integration took hold. In North Carolina the number
of hog farmers has declined by 75% since 1982 (State of North Carolina,
Department of Agriculture, 1982, 1987). This began with
the farm crisis of the 1980’s when many small producers were pushed out,
many of which produced hogs as a complementary or primary product.
Nationally, this exodus created a gap and in North Carolina this gap was
filled by those with continuing access to capital (Rhodes and Grimes, 1995).
The contract arrangements which now dominate, are
touted by industry as risk sharing arrangements by farmers and the corporations
that own the hogs. However, contract arrangements typically favor
the agribusiness firm with many of the risks taken on by the contractor.
Typically farmers are contracted to oversee the housing, feeding, and overall
care of the animals until they are ready for slaughter. Ownership
of the hogs remains in the hands of the firm throughout the chain of production.
Strict control is exercised as farmers are only paid if they meet the requirements
of the contracts that have specific hog weight and size requirements (Rhodes,
1995). Farmers have essentially become a semi-autonomous employees
totally divorced from ownership. Increasingly CAFO’s are owned by
a group of capital investors who hire a manager and labor to oversee production
totally removing the role of the American farmer (Rhodes, 1992).
Development never occurs in a vacuum. As such,
the political and economic climate of North Carolina created an ideal situation
for hog industry growth. The lack of initial opposition from within
the farming industry combined with the impoverished conditions of the region
created an opening for industry penetration. The central aim of this
study is to identify the context specific variables that assisted in the
realization of this modality. These changes cannot be viewed without
an understanding of the social power relations in North Carolina.
In regards to agriculture, it seeks to answer the question: Does
the changing structure of the agriculture industry act as a catalyst for
further changes? Combined with the effects of globalization
and the increasing access to international markets comes an increase in
the mobility of capital. This reality reinforces the need to look
at factors that predispose a locale.
Data and Methods
Analysis is based on the 100 counties of North Carolina.
The county is the unit of analysis since the available farming data is
reported at this level of measurement. Since this study is concerned
with agriculture and farming, the US Census of Agriculture is the primary
data source for information. Other data was pulled from the Bureau
of Labor Statistics and the US decennial Census.
Farm Variables
Due to the changing industry and the continuing decline
in the number of hog farms, the swine population was used as a measure
of the increase in hog production. Absolute number of hogs concentrated
in a geographic location (county) is a proxy measurement designed to be
an indication of the industry structure. This measure captures the
relationship between the emergence of a production facility [which houses
thousands of hogs] and community factors such as a decline in smaller producers.
Due to the highly skewed nature of this variable, the base 10 logarithm
is used. This prevents distortion of the analysis by the presence
of extreme outliers. This tactic was used to standardize all variables
due to North Carolina’s diversity and extreme differences across all variables.
Consistent with Brooks and Kalbacher’s typology of agricultural enterprises,
farms were categorized according to product sales as reported by the Census
of Agriculture for the given year. Rural residence farms and small
commercial enterprises were collapsed into one category. This category
includes all farms with sales less than $100,000 (small scale). All
farm enterprises with sales above $100,000 were collapsed into a second
category (large scale). A central focus of this study is to assess
whether the presence of large scale farms contributes to the adoption of
hog farming. The logic supporting this breakdown is that due to the
capital intensive nature of the hog production, large scale enterprises
potentially have sufficient access to capital via loans or other investment
options. Whereas, small scale producers are less likely to have the requisite
land and property as collateral for assuming said loans or enough reserve
capital. Furthermore, this method solved initial issues with multicollinearity.
Social Factors
Utilizing the median income as an independent variable
serves a useful analytical purpose. The hog farming industry touts
the increase in jobs as a benefit to their locating in rural areas.
Lawmakers acting on behalf of the public interest are eager to provide
employment opportunities to constituents. This makes low income areas
a target for the policies and development plans of lawmakers. Due
to North Carolina’s history of maintaining a low wage labor force, it is
hypothesized that counties with low median incomes will be more likely
to have increases in hog populations. Furthermore, income has been
demonstrated by Edwards and Ladd to be a good predictor of swine concentration
(2000).
Intensive swine
production facilities typically target areas with low population densities
(Bonanno and Constance, 2001; Hart and Mayda, 1997). In the South,
North Carolina being no exception, rural areas have difficulty drawing
industry. High concentrations of minority populations
in the South coincide with persistent low socioeconomic status (Wimberley
et al., 1996). The impoverished Black Belt region of the South has
historically been underdeveloped with little policy efforts aimed at ameliorating
this condition. Percent black population will be used as an
independent variable in the analysis to gauge the extent to which minority
concentration determines the placement of facilities and the increase of
hog populations.
Analysis
The study includes cross-sectional and longitudinal,
panel analysis of data. A lagged value of the dependent variable
is used to determine if the value of the variable (hog population) affects
the subsequent value at later years. This will hopefully provide
insight as to whether early entrenchment is a determining factor of adoption
in later years. Ordinary least squares multiple regression is employed
in the analysis. Overall, this method allows for the examination
of the effects of the independent variables on changes in the hog industry.
The study encompasses a fifteen year time period. This allows us
to view the changes in the industry beginning with the initial changes
and concluding with the period of corporate consolidation. Descriptive
statistics are available for all years in Table 1.
Table 1: Descriptive Statistics of County Characteristics
1982 County
Characteristics
|
Mean
|
SD
|
Transformed Mean
|
SD
|
# Small Farms
|
713.41
|
489.28
|
2.692
|
.508
|
Hog Population
|
21909.18
|
33632.26
|
3.541
|
.469
|
# Large Farms
|
89.78
|
93.22
|
1.682
|
.571
|
Pop. Density
|
125.08
|
137.13
|
1.927
|
.373
|
Median Income
|
15328.02
|
2306.34
|
4.1136
|
.0062
|
% Black
|
23.39
|
17.10
|
1.125
|
.560
|
1987 County Characteristics
|
|
|
|
|
# Small Farms
|
511.66
|
352.807
|
2.574
|
.411
|
Hog Population
|
25107.12
|
57982.49
|
3.4701
|
.371
|
# Large Farms
|
81.16
|
86.52
|
1.645
|
.553
|
Pop. Density
|
132.69
|
149.64
|
1.946
|
.380
|
Median Income
|
1528.02
|
2306.34
|
4.1136
|
.0062
|
% Black
|
23.39
|
17.10
|
1.125
|
.560
|
1992 County Characteristics
|
|
|
|
|
# Small Farms
|
713.41
|
489.28
|
2.471
|
.401
|
Hog Population
|
48861.02
|
16324.16
|
3.327
|
1.585
|
# Large Farms
|
93.42
|
97.90
|
1.713
|
.542
|
Pop. Density
|
142.42
|
165.60
|
1.969
|
.388
|
Median Income
|
28280.58
|
4964.38
|
4.450
|
.0756
|
% Black
|
22.31
|
16.57
|
1.125
|
.560
|
1997 County Characteristics
|
|
|
|
|
# Small Farms
|
392.60
|
284.11
|
2.446
|
.4088
|
Hog Population
|
95933.06
|
286514.16
|
3.156
|
1.951
|
# Large Farms
|
105.46
|
105.94
|
1.760
|
.536
|
Pop. Density
|
157.49
|
189.39
|
2.006
|
.395
|
Median Income
|
28280.58
|
4964.38
|
4.4507
|
.0056
|
% Black
|
22.31
|
16.57
|
1.125
|
.560
|
Note: Due to the skewed nature of some variables, all data were standardized.
A base10 log transformation was performed on all variables for analysis.
The variance inflation factor measures indicate
that multicollinearity did not pose a problem for the analysis. Autocorrelation
is typically a problem in time series data analysis. Durbin Watson
measures ranged between 1.8 to 2.15 suggesting no problem with autocorrelation.
The results in Tables 2 to 4 show the standardized betas and the t values
for the independent variables. These tables displays the cross-section
model and the longitudinal model for all years included in the study.
Hypothesized Relationships
This study proposes the following hypothesized relationships.
The presence of large scale farming enterprises will contribute to more
favorable conditions for the emergence of industrial hog farming.
The prediction is that the presence of small scale enterprises will have
no effect on the adoption of hog farming. Figure 1 displays the model
depicting the variable relationships. This study proposes that the
independent variables will impact the emergence of industrial hog farming.
This relationship exists as a function of the existence of an intervening
variable, community distress. Consistent with Goldschmidts theory,
it is suspected that the changing dynamics of the agriculture industry
affect the socioeconomic conditions of a community. This in turn
makes the community an inviting target for the infusion of industrial hog
farming.
Findings
The cross sectional models reveal substantial variation
in the net effects of the independent variables across time. The
1982 cross section explains about 53 percent of the variance in the hog
population, indicating a substantial amount of predictive accuracy.
Counties with higher numbers of large scale farms have significantly higher
hog populations (beta .501). Small scale farming was not related
to the hog population for that year. Results of other measures were mixed.
Population density had significant impact (beta -..253). Median income
was found to have a significant relationship to the hog population (beta
.331), whereas percent black was found to have no significance (see Tables
2, 3 and 4).
For years 1987 through 1997, cross-section models
reveal the same pattern for large scale farming. Small scale farming
was found to be significantly related to the dependent variable for years
1987 and 1992, but for 1997 there exist no statistically significant relationship.
A different pattern exists for median income. There is a significant
finding for years 1982 and 1987 but none for the remaining years.
Population density was found to be significantly related in all years with
the exception of 1997. Percent black exhibited no significant relationship
in any of the models.
The longitudinal models demonstrate the effects of
the 1982, 1987, and 1992 independent variables on hog population levels
at the next five-year mark. The explained variance in each of the
models is above 62 percent. Therefore, farm scale combined with social
factors explained a large amount of the variance in the dependent variable.
Looking at the lagged hog variable, we can conclude that a county's hog
population in year one was a good predictor of the subsequent population
in year two. This variable was significantly related for all three
models. Results for the other farm variables were mixed as was the
case in the cross-sectional models. Small-scale farming showed no
impact. However, for year 1987 the variable approaches significance
(beta .116). Large scale farming was found to be a good predictor
for all years with the exception of 1992. Looking at the social factors,
we see that median income had a significant impact for panel analyses one
but no impact in analyses two and three. Population density in 1982
impacted the hog population in 1987 (beta -.179), but had no effect on
other years. Black population resulted in no significantly finding
in any of the models.
Table 2
Regression Models of Hog Farm Location, 1982 and 1987
Independent Variables
|
1982 Cross Section Standardized Betas
|
1982 Cross Section Unstandardized Betas
|
1987 Cross Section Standardized Betas
|
1987 Cross Section Unstandardized Betas
|
Intercept
|
----
|
-28.808
|
----
|
-25.539
|
# Large Farms
|
.501***
|
4.361***
|
.420***
|
4.525***
|
# Small Farms
|
.090
|
.887
|
.158
|
1.771
|
Median Income
|
.331**
|
2.923**
|
.306**
|
3.050**
|
|
|
|
|
|
Control Variables
|
|
|
|
|
Eastern County
|
.195*
|
1.827*
|
.442***
|
.398***
|
Population Density
|
-.253*
|
-2.301*
|
-.211*
|
-2.184*
|
% Black
|
.092
|
.994
|
.116
|
1.536
|
R Square
|
.523
|
.532
|
.681
|
.681
|
***Significant at .001; **Significant at .01; *Significant at .10
Table 3
Regression Models of Hog Farm Location, 1992 and 1997
Independent Variables
|
1992 Cross Section Standardized Betas
|
1992 Cross Section Unstandardized Betas
|
1997 Cross Section Standardized Betas
|
1992 Cross Section Unstandardized Betas
|
Intercept
|
---
|
-17.357
|
---
|
6.826
|
# Large Farms
|
.440***
|
4.141
|
.442
|
5.270
|
# Small Farms
|
.218
|
2.252
|
.013
|
.102
|
Median Income
|
.191
|
1.610
|
.063
|
-.561
|
|
|
|
|
|
Control Variables
|
|
|
|
|
Eastern County
|
.398***
|
3.803***
|
.385***
|
3.438
|
Population Density
|
.260**
|
-2.351**
|
.385***
|
3.438***
|
% Black
|
.052
|
.589
|
.135
|
1.504
|
R Square
|
.600
|
.600
|
.621
|
.621
|
***Significant at .001; **Significant at .05; *Significant at .10
Table 4
Panel Analysis of Hog Farm Location 1982-1997
Inde-
pendent
Variables
|
1987 with
1982
Independent
& Lagged
Standard-
ized Beta
|
1987 with
1982
Independent
& Lagged
Unstand-
ized Beta
|
1992 with
1982
Independent
& Lagged
Standard-
ized Beta
|
1992 with
1982
Independent
& Lagged
Unstand-
ized Beta
|
1997 with
1992
Independent
& Lagged
Standard-
ized Beta
|
1997 with
1992
Independent
& Laggged
Unstand-
ized Beta
|
Intercept
|
---
|
-15.389
|
---
|
3.645
|
---
|
-17.357
|
# Large Farms
|
.394***
|
4.006***
|
.105
|
1.065
|
.245**
|
2.302**
|
# Small Farms
|
.121
|
1.588
|
.132
|
1.381
|
-.055
|
-.604
|
Median Income
|
-.189**
|
2.044**
|
-.042
|
-.413
|
-.081
|
-.728
|
Lagged Hog Population
|
.196**
|
2.420**
|
.646***
|
6.459***
|
.293**
|
3.064**
|
|
|
|
|
|
|
|
Control Variables
|
|
|
|
|
|
|
Eastern County
|
.355***
|
3.943***
|
.098
|
.983
|
.311**
|
2.999**
|
Population Density
|
-.179**
|
-2.031
|
-.067
|
-.705
|
-.005
|
-.051
|
% Black
|
.048
|
.655
|
.016
|
.214
|
.122
|
1.448
|
R Square
|
.781
|
.781
|
.706
|
.706
|
.664
|
.664
|
***Significant at .001; **Significant at .05; *Significant at .10
Discussion
The focus on North Carolina limits the ability of
the results to be generalized. But, the findings do offer pertinent
insight. The mixed results from the social factors across each model indicate
that very different forces were at play during the evolution. One
surprising result is the lack of a consistent impact of population density
in the lagged models. This may be due to the fact that the initial
explosion in the hog population occurred across the state as tobacco farmers
and other growers sought to diversify in the wake of the financial crisis
of the early eighties. In 1982 the hog population was dispersed across
the state among many smaller producers in rural counties. Later growth
became more centralized in the Coastal Plain region among fewer counties.
Though the findings appear conflicting, this region is less densely populated
than the other regions of the state supporting the contention that density
plays a factor in the placement of CAFO’s.
The predictive ability of race was not salient as
expected. This can only be explained by the use of Eastern county
as a control variable. The inclusion of this variable brought out
the effect of region on the dependent variable, but suppresses the effect
of race. The eastern region of North Carolina has the highest concentration
of minorities in the state with percentages reaching up to 60 percent.
In other analyses using the 41eastern counties as the population as opposed
to the 100 counties (not shown), race was found to be significantly related
to the dependent variable for all models.
Farming variables lend insight into the interplay
between the changing dynamics of the overall farming industry and hog farming.
It has been suggested that community identity, the environment, and the
health of community residents have all been impacted by the hog industry
(Durrenberger and Thu, 1998). In this study the number of small scale
farms was not related to hog population growth. Research has
demonstrated that communities with larger numbers of small farms are potentially
more distressed (MacCannel, 1988; Lobao and Meyer, 2001) .
However, the results of this study do not allow us
to make any inferences regarding this relationship. The consistent
impact of large scale farming signals that vertical integration in the
industry was assisted by the presence of an available pool of farmers capable
of assuming the financial risks associated with this brand of hog farming.
The negative consequence is that this change in the industry has forced
out of small producers who traditionally relied on hog farming as a supplemental
commodity. The impact of the hog influx has had the impact of limiting
the available options for small producers to diversify.
The effect of median income was only evident
for the time period coinciding with the smallest increase in the hog population,
between 1982 and 1987. This is the time period of greatest dispersion
of hog farming as many sought to cash in on the opportunity. Hog
farming was present in most rural counties of the state including the southern
Piedmont and throughout the Coastal Plain. This precedes the time
period wherein the industry began consolidating and the networks between
producers and processors solidified. The need for labor for
processing plants and hog farms potentially impacted the placement of facilities.
However, more analysis is needed to tease out the relationship between
other labor market variables and hog farming.
The effect of the social factors and farm variables
viewed in the context of the socio-political history of the industry’s
development reinforces the importance of a political economy approach focused
on the importance of locality. In the case of North Carolina, it
is evident that the interplay between race, politics, capital, and the
agriculture industry can only be understood by utilizing a comprehensive
framework.
Conclusion
Fordism’s penetration into agriculture set into motion
processes that continue to dictate the direction the industry takes.
This has far reaching implications for rural agriculturally dependent communities.
This is evident across all commodities and aspects of the industry.
As for the pork industry, there is no indication that the industry will
embrace the much heralded practices of post-Fordism. This reality
is viewed as the potential next crisis to face agriculture (Kenney et al.,
1991; Goldschmidt, 1998). The benefits of mass produced meat
is proving to be a mixed bag as the tax benefits and jobs for local communities
are weighed against the loss of community identities, negative health effects,
and the lost benefit of small scale producers.
The current state of the industry is one in which
corporate takeovers have forced many of the previous locally owned companies
to disappear. In North Carolina, Smithfield Foods and Premium Standard
now control more than 75 percent of the state's industry (Freeze, 1999).
The landscape of the industry is now permanently changed with all indicators
pointing to a continuing decline in participation from small scale producers.
Similar efforts are underway in other states as the industry seeks out
welcoming areas with the right combination of factors.
Other areas in the rural South have similar characteristics
as those of North Carolina’s Coastal Plain region. Each is typically
characterized by low population densities, low labor costs, agricultural
dependency, and worsening socioeconomic conditions. This has made
this area a prime target for targeting by the pork industry. There
has been a noticeable shift in the pork producing capacity of the previously
dominant Midwestern region, as the south is garnering an increasing share
of the market.
This study provides an overview of the industry and the
factors associated with its recent transition. Another contributing
factor is the necessary network arrangements that must exist between processing
companies, entrepreneurs, and growers. Through their control of all
phases of production and links to food packagers, this will prevent rival
smaller competitors from entering the market. This arrangement is
crucial for the emergence of vertical integration. Though not yet
realized, differentiation and the mass production of variety appears to
be the direction of the pork industry. As consumer taste diverge
the market for organic and other pork products will rise. It has
been predicted that rather than the emergence of niche marketing to discriminating
consumer taste by specialized competitors, the Fordist modeled mass production
organizations will turn to mass production of variety. Essentially,
a Microsoft effect will be the result as extensive control is exercised
over the network preventing individuals from entering and increasing pressure
on those with whom the contracting corporation does business.
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