Impacts of Regional Approaches to Rural Development: Initial Evidence on the Delta Regional Authority
by
John Pender and
Richard ReederEconomic Research Report No. (ERR-119) 73 pp, June 2011
What Is the Issue?
Regional development approaches are attracting increasing
attention, particularly as vehicles for encouraging rural economic
development. At the Federal level, the Denali Commission was
authorized in 1998 to promote regional development in Alaska and
the Delta Regional Authority (DRA) was authorized in 2000 to do the
same in the Mississippi Delta region. Since then, four additional
regional development commissions have been authorized, and startup
funds have been appropriated for two of these. Despite increased
emphasis on such regional approaches, evidence of their economic
impacts is limited, especially for newer programs such as the DRA.
In this study, we demonstrate an approach to investigating the
initial economic outcomes of such programs, using publicly
available data and the best available methods to examine the DRA as
a test case. We focus on changes in personal income per capita (and
its components), employment per capita, and population from 2002 to
2007.
What Were the Study Findings?
The DRA began funding projects in 252 economically distressed
counties in the Mississippi Delta region in 2002. In its first 7
years, the DRA invested $75 million in basic public and
transportation infrastructure, business development, job training,
and employment-related education. Growth in annual personal income
per capita averaged about $600 higher in DRA-recipient counties
from 2002 to 2007 than in economically and demographically similar
non-DRA counties in the Delta Region and in the Southeast. This
greater growth represented an additional increase in per capita
income in DRA-recipient counties (relative to similar non-DRA
counties) of about 3 percentage points over this 5-year period.
Comparison of trends in per capita income in the matched groups of
counties showed that these trends were very similar from 1990 to
2002, but began to diverge after the DRA began operating in
2002.
The major sources of greater growth in personal income were
greater growth in per capita net earnings and personal transfer
payments, both of which were statistically significantly greater in
DRA counties. (Transfer payments are payments from a Government to
an individual, e.g., Medicare, Social Security, etc.) These impacts
were greater in counties where DRA spending per capita was larger,
with each $1 of additional DRA spending per capita associated with
an additional $15 in growth of personal income per capita,
including $8 in additional net earnings (primarily in the health
care and social service sector) and $5 in additional transfer
payments (mainly medical transfer payments).
The incremental impacts of DRA spending on personal income,
earnings, and transfer payments suggest that the DRA may be
leveraging additional public or private sources of funds. In
particular, the DRA's health programs, including funding of medical
facilities and its J-1 visa waiver program to attract foreign
doctors, appear to be contributing to increased health sector
earnings and medical transfer payments by increasing the
availability of health care services.
The DRA's health awareness campaigns, such as those focusing on
diabetes prevention and treatment, may also be increasing the
demand for health services. Since other public funds, such as
medical transfer payments, are apparently being leveraged by the
DRA, the income increments associated with DRA spending cannot be
seen solely as a return to DRA investments.
We did not find statistically significant differences in growth
of employment per capita between DRA and similar non-DRA counties;
this result may be due to the difficulty of measuring those impacts
given the small size of the program and the relatively short
timeframe considered. We found some evidence of slower population
growth in the DRA counties, but this difference was found to be a
continuation of differences in trends in population growth prior to
initiation of the DRA.
(For a list of DRA counties, see:
http://www.dra.gov/about/maps.aspx/.)
How Was the Study Conducted?
We used a quasi-experimental matching approach to select non-DRA
nonmetropolitan counties in the Delta region and elsewhere in the
Southeastern United States that had similar economic and
demographic characteristics to DRA recipient nonmetropolitan
counties prior to implementation of the DRA and compared mean
changes in outcomes between these groups of counties. We also used
multivariate regression analysis on the matched groups of counties
to identify the effects of the level of DRA program spending per
capita on the outcomes. The findings are robust to alternative
methods of selecting the comparison groups of counties; use of
alternative sets of variables for matching; including or dropping
groups of counties for which confounding factors were present (such
as counties heavily affected by Hurricane Katrina or the presence
of other development or health programs); and use of alternative
starting and ending years in the comparisons.