• Benefits of Alaska Native Corporations and the SBA 8(a) Program to Alaska Natives and Alaska

      Institute of Social and Economic Research, University of Alaska Anchorage; Haley, Sharman; Fay, Ginny; Ainsworth, Joel; Angvik, Jane; Hill, Alexandra; Martin, Stephanie (Institute of Social and Economic Research, University of Alaska Anchorage, 2009-07-07)
      Senator Begich’s office asked ISER for assistance assembling information to document the social and economic status of Alaska Natives and the benefits of the 8(a) program. His purpose is to brief Missouri Senator McCaskill and her committee which is reviewing the status of ANC contracts awarded under SBA’s 8(a) program. This review was triggered by a 2006 GAO report recommending increased SBA oversight to 8(a) contracting activity. Highlights of the GAO report are provided in Tab A.1; a letter dated May 15, 2009, from Senators Begich and Murkowski to Sentaor McCaskill, outlining their concerns is provided in Tab A.2. As the Congressional Research Service report (Tab A.3) explains, the Small Business Administration’s 8(a) program targeting socially and economically disadvantaged individuals was operating under executive authority from about 1970, and under statutory authority starting in 1978. A series of amendments from 1986 to 1992 recognized Alaska Native Corporations (ANCs) as socially and economically disadvantaged for purposes of program eligibility, exempted them from limitations on the number of qualifying subsidiaries, from some restrictions on size and minimum time in business, and from the ceiling on amounts for sole-source contracts. Between 1988 and 2005, the number of 8(a) qualified ANC subsidiaries grew from one to 154 subsidiaries owned by 49 ANCs. The dollar amount of 8(a) contracts to ANCs grew from $265 million in FY 2000 to $1.1 billion in 2004, approximately 80 percent of which was in sole-source contracts. (GAO Highlights, Tab A.1) The remainder of this briefing book is divided in three sections. Section 2 addresses changes in the social and economic status of Alaska Natives from 1970--the year before the enactment of the Alaska Native Claims Settlement Act and the subsequent creation of the ANCs--to the present. ISER’s report on the “Status of Alaska Natives 2004” (Tab B.1) finds that despite really significant improvements in social and economic conditions among Alaska Natives, they still lag well behind other Alaskans in employment, income, education, health status and living conditions. A collection of more recent analyses updates the social and economic indicators to 2008. There were many concurrent changes throughout this dynamic period of Alaska’s history and we cannot attribute all the improvements to the ANCs, though it is clear that they play an important catalyst role. In the final part of section 2 we attempt to provide some historical context for understanding the role ANCs have played in improving the well-being of Alaska Natives. Section C. documents the growth in ANCs and their contributions to Alaska Native employment, income, social and cultural programs and wellbeing, and their major contributions to the Alaska economy and society overall. Section D. Looks specifically at the 8(a) program. Although there are a handful of 8(a) firms with large federal contracts, the majority are small, village-based corporations engaged in enterprise development in very challenging conditions. A collection of six case studies illustrate the barriers to business development these small firms face and the critical leverage that 8(a) contracting offers them.
    • Cooperative Solutions to Wicked Problems

      Haley, Sharman (Institute of Social and Economic Research, University of Alaska Anchorage, 2011-03-03)
    • Estimated Household Costs for Home Energy Use

      Saylor, Ben; Haley, Sharman; Szymoniak, Nick (Institute of Social and Economic Research, University of Alaska Anchorage, 2008-05)
      This memo estimates how much of their income Alaska households spend for home energy uses, after years of rising energy prices.1 We made the estimates at the request of State Senator Lyman Hoffman. We include costs for electricity, heat, and other home energy uses—but do not include costs for transportation fuel. Keep in mind that these are truly estimates. Because of time lags in data collection and reporting, actual consumer price data for 2008 are not available. To estimate consumer energy prices as of May 2008, we used statistical models of the relationship between oil prices and consumer prices. We also used the most recent data on per capita personal income from the Bureau of Economic Analysis to estimate 2007 annual household income. These estimates are likely to overstate actual household expenditures. As energy costs rise, households find ways to consume less. How much less, we don’t know. For these estimates, we used consumption households reported at the time of the 2000 U.S. Census. Also, the estimates in this memo reflect what energy would cost households for a year, at May 2008 prices. Consumers of course haven’t yet seen a full year at these prices, and we don’t know where prices will go from here.2 Therefore, these estimates are really like a cost index—that is, they estimate what it would cost to buy a specific amount of energy, at specific prices. That’s not the same as actual annual household expenditures. Still, these estimates give a good picture of what
    • Risk Complexity: The Arctic Offshore as a Case Study

      Kämpf, Mandy; Haley, Sharman (Institute of Social and Economic Research, University of Alaska Anchorage, 2011-07-29)
    • Risk Management in the Arctic Offshore: Wicked Problems Require New Paradigms

      Kaempf, Mandy; Haley, Sharman (Institute of Social and Economic Research, University of Alaska Anchorage, 2011-10)
      Recent project-management literature and high-profile disasters—the financial crisis, the BP Deepwater Horizon oil spill, and the Fukushima nuclear accident—illustrate the flaws of traditional risk models for complex projects. This research examines how various groups with interests in the Arctic offshore define risks. The findings link the wicked problem framework and the emerging paradigm of Project Management of the Second Order (PM-2). Wicked problems are problems that are unstructured, complex, irregular, interactive, adaptive, and novel. The authors synthesize literature on the topic to offer strategies for navigating wicked problems, provide new variables to deconstruct traditional risk models, and integrate objective and subjective schools of risk analysis.
    • The Role of Stakeholders in Managing Arctic Ocean Resources

      Haley, Sharman (Institute of Social and Economic Research, University of Alaska Anchorage, 2011-01-22)
    • Shareholder Employment at Red Dog Mine

      Haley, Sharman; Fisher, David (Institute of Social and Economic Research, University of Alaska Anchorage, 2012-04)
      Under the Alaska Native Claims Settlement Act of 1971, Iñupiat of northwest Alaska organized as shareholders in the NANA1 Regional Corporation, Inc., and received title to 2,258,836 acres, including rights to the rich Red Dog zinc deposit. In 1982, NANA signed a joint-venture agreement with Teck2 to develop the mine, including provisions for preferential hire for qualified NANA shareholders. The agreement aimed for 100% shareholder hire by 2001. As of 2010, Teck had 220 NANA shareholders in full-time employment, which is 53 percent of the workforce. Other mines around the world have similar indigenous or local hire agreements with mixed success. The Voisey’s Bay mine sets the high mark for Canada with an Aboriginal hire rate of 54 percent (AETG 2008), followed by Ekati diamond mine at 50 percent (BHP Billiton 2011). So the track record for indigenous employment at Red Dog is high by global standards, although it falls short of NANA and Teck’s goal. What are the continuing barriers to increasing shareholder hire, retention and promotion?
    • Social Indicators for Arctic Mining

      Haley, Sharman; Szymoniak, Nick; Klick, Matthew; Crow, Andrew; Schwoerer, Tobias (Institute of Social and Economic Research, University of Alaska Anchorage, 2011-05)
      This paper reviews and assesses the state of the data to describe and monitor mining trends in the pan-Arctic. It constructs a mining index and discusses its value as a social impact indicator and discusses drivers of change in Arctic mining. The widely available measures of mineral production and value are poor proxies for economic effects on Arctic communities. Trends in mining activity can be characterized as stasis or decline in mature regions of the Arctic, with strong growth in the frontier regions. World prices and the availability of large, undiscovered and untapped resources with favorable access and low political risk are the biggest drivers for Arctic mining, while climate change is a minor and locally variable factor. Historical data on mineral production and value is unavailable in electronic format for much of the Arctic, specifically Scandinavia and Russia; completing the historical record back to 1980 will require work with paper archives. The most critically needed improvement in data collection and reporting is to develop comparable measures of employment: the eight Arctic countries each use different definitions of employment, and different methodologies to collect the data. Furthermore, many countries do not report employment by county and industry, so the Arctic share of mining employment cannot be identified. More work needs to be done to develop indicator measures for ecosystem service flows. More work also needs to be done developing conceptual models of effects of mining activities on fate control, cultural continuity and ties to nature for local Arctic communities.
    • The Value of Evidence-Based Computer Simulation of Oral Health Outcomes for Management Analysis of the Alaska Dental Health Aide Program

      Kiley, Daniel P.; Haley, Sharman; Saylor, Ben; Saylor, Brian L. (Institute of Social and Economic Research, University of Alaska Anchorage, 2008-03)
      Objectives: To create an evidence‐based research tool to inform and guide policy and program managers as they develop and deploy new service delivery models for oral disease prevention and intervention. Methods: A village‐level discrete event simulation was developed to project outcomes associated with different service delivery patterns. Evidence‐ based outcomes were associated with dental health aide activities, and projected indicators (DMFT, F+ST, T‐health, SiC, CPI, ECC) were proxy for oral health outcomes. Model runs representing the planned program implementation, a more intensive staffing scenario, and a more robust prevention scenario, generated 20‐year projections of clinical indicators; graphs and tallies were analyzed for trends and differences. Results: Outcomes associated with alternative patterns of service delivery indicate there is potential for substantial improvement in clinical outcomes with modest program changes. Not all segments of the population derive equal benefit when program variables are altered. Children benefit more from increased prevention, while adults benefit more from intensive staffing. Conclusions: Evidence‐ based simulation is a useful tool to analyze the impact of changing program variables on program outcome measures. This simulation informs dental managers of the clinical outcomes associated with policy and service delivery variables. Simulation tools can assist public health managers in analyzing and understanding the relationship between their policy decisions and long‐term clinical outcomes.