The primary findings of our research are that Bangor area
residents are cautiously optimistic about the two economies and
more optimistic about both over the next three years. We have
also found them to be strongly optimistic about income growth and
cautious in their assessment of future job opportunities. These
results are not surprising when one looks at retail sales data
for Bangor and Maine, and unemployment figures for Penobscot
County (in which Bangor and all other surveyed towns are located)
and Maine. Between 1991, when Maine and the nation were in a
recession, and 1995, taxable retail sales (nominal) in Bangor
increased from $620,520,000 to $731,195,000, a 17.8% increase.
Taxable retail sales in Maine increased from $8,555,880,000 to
$10,414,282,000, a 21.7% increase. During this same period the
annual Penobscot unemployment rate fell from 8.0% to 6.1%.
Maine's annual unemployment rate fell from 7.5% to 5.7%.
Respondents may be interpreting a lower unemployment level as
meaning improved job security and with it improved income growth.
Inflation has been moderate to nil. In Bangor, specific
development projects such as the construction of the Acadia
Hospital (1992), the construction of a Sam's Club and a Wal-Mart
(1991 and 1993), and the $3 million operations center for Bangor
Savings Bank (1993) have all injected investment dollars into the
local community and added employment opportunities. These
improvements have happened gradually over time. We believe that
Bangor area residents, professional and nonprofessional alike,
have come to trust the slow-growing but steady nature of these
economies. And this is why they responded the way that they did.
FIGURE 1: Current Rating of Bangor Area and Maine Economies
FIGURE 2: Growth Expectations of Bangor Area and Maine Economies in Three Years
FIGURE 3: Growth Expectations in Jobs and Household Income in Three Years
FIGURE 4: Bangor Area Economic Growth Expectations
Bibliography
Christopher D. Carroll, Fuhrer J., Wilcox D., "Does Consumer
Sentiment Forecast Household Spending? If So, Why?" American
Economic Review 84:5 (December 1994): 1397-1408.
The Conference Board, Consumer Confidence Survey (February
1996).
Civilian Labor Force Estimates, Maine Department of Labor
(1990-95).
Maine Taxable Retail Sales, Maine Bureau of Taxation (1991-95).
Greater Bangor Profile, Greater Bangor Chamber of Commerce
(1993).
Notes
1 The survey was mailed to a random sample of 240 households living in the
Bangor area who had a phone listing in the Bangor NYNEX phone book. Ninety surveys were
returned for a response rate of 37.5%. No follow-up surveys were sent, and tests for
non-response bias were not performed. The survey's design, coding, and analysis were part of a
class
project in the Department of Business Management, University College, Bangor.
2 See for example Christopher D. Carroll et al., "Does Consumer Sentiment
Forecast Household Spending? If So, Why?" American Economic Review 84:5
(December 1994): 1397-1408.
3 More formally termed the "multiplier" effect, this is at the heart of economic
growth theory espoused by the British economist John Maynard Keynes.
4 The survey did not ask why the respondent was not working if he or she
answered no to the question "Are you currently employed?". There are many possibilities, such as
not working by choice, retired, disabled, or unemployed involuntarily.
Table 1
PURCHASING INTENTIONS BY BANGOR AREA RESIDENTS
| Item
| Percent
|
| Number of durable items within 6 months a
|
|
0 items
| 71%
|
1 item
| 21%
|
2 or more items
| 8%
|
| Total
| 100%
| |
|
| Purchase Automobile Within 1 Year b
|
|
No
| 72%
|
Yes
| 28%
|
| Total
| 100%
|
| a Items include refrigerator, washing machine, TV set,
vacuum cleaner, range, clothes dryer, dish washer, stereo, VCR.
|
| b New or used.
| | | | | |
Table 2
CURRENT RATING OF BANGOR AREA ECONOMY BY SELECTED DEMOGRAPHIC
CHARACTERISTICS
|
| Education b
| Household Income c
| Currently Employed d
|
| Rating
| High School or Less
| Associate Degree or Higher
| Less than $35,000 per year
| $35,000 per year
| Yes
| No
|
| Good
| 15%
| 18%
| 14%
| 21%
| 18%
| 14%
|
| Fair
| 63%
| 70%
| 72%
| 63%
| 64%
| 72%
|
| Poor
| 22%
| 12%
| 14%
| 16%
| 18%
| 14%
|
| % Total
| 100%
| 100%
| 100%
| 100%
| 100%
| 100%
|
| Number responding a
| 40
| 49
| 42
| 43
| 68
| 22
|
| a The number of respondents for a particular variable may not add to
90
because a respondent(s) did not answer the question.
|
| b,c,d Insignificant at the .05 significance level using the Chi Square
test.
|