10 research outputs found

    The McKinsey Global Institute Productivity Studies: Lessons for Canada

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    The McKinsey Global Institute (MGI) is a think tank based in Washington, D.C. founded in 1990 with the objective of analyzing international productivity levels from both economic and management perspectives. MGI uses microeconomic analysis on a sector-by-sector level to study the effects that industry decisions ultimately have on national productivity. For the most part the productivity drivers identified by MGI can be grouped into three broad areas: competitive factors (concentration, trade protection, deregulation, minimum wages, work rules, and zoning laws); managerial factors (best practice, human capital, capital intensity, and information technology); and demand factors (average income, cyclical factors, and consumer preferences). This paper examines these factors in an attempt to shed light on the causes of Canada-U.S. productivity differences at the industry level. Competitive factors may explain the poor productivity performance of the Canadian financial and cultural service industries relative to their U.S. counterparts, and likewise may explain the high productivity levels of some natural resource industries in Canada relative to the United States. Managerial factors, especially the implementation of new technologies and related processes, may be important in explaining the poor productivity growth in Canada relative to the United States in service industries such as retail trade. Given the similarities between Canada and the United States, the findings of the MGI studies cannot be indiscriminately applied to Canada-U.S. productivity differences at the industry level. However, the MGI studies do put forward a number of useful working hypotheses for analyzing these differences.Productivity, Productivity Growth, Industry, Industry Studies, McKinsey Global Institute, MGI, Concentration, Competition, Retail Trade, Wal-Mart, Regulation, Banking, Airlines, Best Practice, Deregulation

    Human Trafficking by the Numbers: The Initial Benchmark of Prevalence and Economic Impact for Texas

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    Prevalence HighlightsCurrently, there are approximately 79,000 minor and youth victims of sex trafficking in Texas.Currently, there are approximately 234,000 workers who are victims of labor trafficking in Texas.Currently, there arean estimated 313,000 victims of human trafficking in Texas.Cost HighlightsMinor and youth sex trafficking costs the state of Texas approximately 6.6billion.Traffickersexploitapproximately6.6 billion. Traffickers exploit approximately 600 million from victims of labor trafficking in Texas.BackgroundThough human trafficking is widespread in geographically large states with large urban centers like Texas, the true scope of this hidden crime is largely unconfirmed as data on human trafficking are difficult to ascertain. Existing data gathered in anti-trafficking efforts focus almost exclusively on identified victims, shedding light on only a fraction of the problem. The first phase of the Statewide Human Trafficking Mapping Project of Texas focused on providing empiricallygrounded data as a benchmark about the extent of human trafficking across the state. The following three primary research questions guided our data collection efforts, which included queries of existing databases, interviews, focus groups, and web-based surveys.1.What is the prevalence of human trafficking in Texas?2.What is the economic impact of human trafficking in Texas?3.What is our understanding of human trafficking in Texas?MethodsThe findings in this report were derived using a multi-methods approach to quantify the prevalence and economic impact of human trafficking in Texas. Higher-than-average risk industry and community segments were chosen for sex and labor markets. We defined community segments asgroups of people considered to be at higher-than-average risk of trafficking because of risk indicators found in trafficking cases (e.g. homelessness). More specifically, rather than attempting to establish prevalence of trafficking among the 27.4 million people living in Texas, for the purposes of demonstrating our methodology, establishing some benchmarks on human trafficking prevalence and economic impact estimates, and providing a concrete example of our planned activities moving forward, victimization rates were applied to a select few community segments that are at higher-than-average risk of trafficking.The methodology has addressed the critical industry and community segments to accurately estimate prevalencewhile reducing overlap between the chosen segments

    The Connection between Entrepreneurial Intentions and Community Member Priorities for Asset-Based, Sustainable Development to Improve Well-Being

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    This chapter analyzes survey data collected from 5487 residents across 85 communities in Texas, USA, ranging from rural areas to large urban centers. Our analysis examines the impact of a community’s degree of urbanity and rurality, as well as individual factors such as social position, values, and satisfaction with local assets, on their economic and quality-of-life development project preferences. We argue that community development processes should take a broader, multicriteria approach that considers a range of factors impacting community needs and well-being. Our findings demonstrate the viability of this human-centered approach, highlighting the opportunity to direct societal capitals toward enhancing well-being within various systems. We analyze six community development project concepts, including renovations to downtown buildings, opening a community health center, deploying high-speed internet, enhancing public libraries, offering early-college-credit programs, and creating a co-working and startup space. Our study shows that there is no one-size-fits-all approach to community development, and participatory processes can guide collaboration between experts and community members. We find that entrepreneurial intention can positively or negatively impact community development concepts and should be considered as part of a well-being strategy. However, social governance structures, both governmental and non-governmental, need to address common-cause aspects of well-being such as community health and education
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