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The purpose of this paper is to evaluate and improve the current methodology of securing and collecting data sources for use in the Impact Analysis for Planning (IMPLAN) model to more accurately use, and be able to support, inputs and outputs from economic impact models, specifically those generated by IMPLAN.

Primary expenditure data were derived from an extensive mail survey conducted during the 2005-2006 Mississippi waterfowl-hunting season. Survey results were analyzed using the IMPLAN software model default data and comparing it with new, more localized state data that were collected in 2010. Industry sectors were sorted and ranked after analysis based on sector importance to the economy and IMPLAN default data were replaced by localized data.

Economic contributions generated from the survey-based default model were $158 million (2010 USD) supporting 1,981 full- and part-time jobs. Economic contributions using survey-based data replacement model were $153 million (2010 USD) supporting 1,517 full- and part-time jobs. Separate model runs of the survey-based data replacement model yielded vastly different results, making the case for changing as many sectors with larger impacts as possible.

The makeup and components of sectors used and described by the IMPLAN model were at times not clearly labeled which at times hindered the process of comparing and replacing data. It was evident that IMPLAN sectors were too highly aggregated.

This project will contribute to efforts within Mississippi aimed at protecting and promoting its natural resources for conservation and use for both the private and public sector.

An overview of the IMPLAN input/output model which is the dominant economic impact model used in the USA, focused on the ways it is abused.

Review of the literature.

25 ways in which IMPLAN is abused.

Continued refinement of IMPLAN in the USA; potential of its extension to other contexts.

Beware it is frequently used to confirm an advocacy position of those who commission studies, rather than a search for truth.

Profound potential for creating falsified outcomes to support sponsor advocacy.

Synopsis of IMPLAN literature and identification of abuses.

This paper aims to estimate the economic impact of a basic income for each state in the USA.

Building on existing pilot studies of basic income in the USA, this paper presumes a $500 per month basic income for individuals earning less than $25,000 in annual income. Using impact analysis for planning (IMPLAN) input–output modeling software, estimated increase in gross state product and employment are provided on a state-by-state basis.

A $6,000 annual basic income ($500 per month) to adult persons earning less than $25,000 annually results in an increase in gross state product (e.g. gross “regional” product in IMPLAN terminology) ranging from 0.7% (District of Columbia) to 5.7% (Florida). Likewise, this increase in household spending will create demand for employment across these states, resulting in an increase in employment from 0.9% (District of Columbia) to 5.8% (Florida).

To date, to the best of the author’s knowledge, this is the first state-by-state analysis of the economic impact of a basic income provision to lower-income individuals.

This study estimates the economic impacts of the Texas wine and wine grape industry on the Texas economy by marketing channel. Survey data from the state's vineyards and wineries for 1996 is used to construct an input‐output model of the Texas economy and an industry impact framework using IMPLAN. Results show that the total core economic impacts of the Texas wine and wine grape industry were $85.8 million in output impacts, 1,157 jobs, $29.6 million in income impacts, and $46.6 million in total value added impacts in 1996. Much of these core economic impacts were attributable to the retail and restaurant marketing channels.

The purpose of this paper is to be limited to provide an overall economic structure linked with a particular hospitality industry by identifying the economic structure of relations between the two hotel industries and other industries within a particular state in the USA.

The analyses of output, labor income and employment multipliers from the input–output system were performed using the IMPLAN 3.0 software. The study attempted to compare the hotel/motel industry (industry code 411) and the accommodations industry (industry code 412) with the top ten industries and averages of each set of multipliers to estimate the relative importance and contribution of the two hotel industries to the economy of Texas. After this comparison, the aggregated input–output tables and multipliers were prepared to determine the economic inter-relationship between the two combined hotel industries (industry code 411 plus industry code 412) and the non-hotel industries, using the criteria of the NAICS (North American Industry Classification System).

The three findings of this study are summarized as follows. First, the two hotel industries impacted the state economy due to a high induced effect from output and a considerable direct, indirect and induced effect from labor income and employment, despite their relatively lower multipliers and the economic downturn in the state. Second, the hotel-related industry had a strong inter-dependent relationship with the finance and insurance-related industries. Finally, while the hotel industry generated more labor income and employment than did the other accommodations industry, it is interesting that the other accommodations industry created more output than did the hotel industry.

Other than limitations pertaining to assumptions of input-output model, an input-output analysis alone cannot become the best analytical method for decision-making. The study was a cross-sectional study with 2009 data and did not incorporate a time-series flow of the state economic structure over several decades. A study of the inter-relationship among varied states bordering the state could be worthwhile to identify the flow of inputs and outputs.

Despite a considerable number of research in measuring the economic impacts, this paper was of great significance, in that the economic impact of the hotel industry that has never been performed in a particular state of the USA was analyzed. Additionally, these quantified economic data and results should be helpful to future plans and policies associated with the hotel industry.

This paper presents a simple methodological framework to characterise the tangible and intangible benefits of a university athletics department. The methodology is applied to the athletics department at Gonzaga University (GU) in Spokane, Washington USA. The brand equity associated with this department is estimated at approximately US$5.8 million in 2006. Of this, between $617,000 and $2.71 million is ascribed to a specific type of tangible brand equity (with the most plausible estimate being $926,000); namely, the impact of GU athletics events on the economic vitality of the local community. The remainder is attributed to (unobserved) intangible brand equity benefits.

The purpose of this paper is to focus on the real estate development and community interaction aspects of US shopping malls. The existing research on shopping mall development and redevelopment can more comprehensively address the importance of malls to the communities in which they are located. Existing shopping mall research focuses on lease valuation, tenant location, retail agglomeration economies, retail demand externalities and intangible asset value. Largely, neglected areas of research are the community and economic contributions of shopping malls. These are critical issues given the age of shopping malls worldwide, the need for adjacent area redevelopment and requirement of large public subsidies for infrastructure construction.

This paper investigates the critical role of shopping malls as town centres and catalysts for area development and redevelopment. A review of the existing research on shopping malls and retail economic contributions to communities is addressed along with how mall redevelopment can be a catalyst for the revitalization of urban core and suburban areas. Methodology on the measurement of shopping centre economic and employment impacts using input/output (IO) modelling is reviewed and analysed.

IO modelling is an effective tool to evaluate publically supported infrastructure to accompany shopping mall and retail redevelopment. As an example of an IO analysis of construction and mall operations economic impacts, the paper presents a case study of the proposed $2 billion Mall of America (Bloomington, Minnesota) expansion employing IO modelling.

The paper demonstrates the community benefits and economic justification for public support for mall revitalization and provides a reliable analytical tool for quantifying the benefits of mall redevelopment to the community.

Input‐output modeling can accurately forecast the benefits associated with corporate real estate projects. This paper aims to address the economic and employment impact analysis practices used in input‐output modeling and identifies resources for corporate real estate executives when working with community groups and public officials. By understanding this topic, corporate real estate executives can more effectively demonstrate the value of corporate activities to a community. An impact analysis case study is presented that includes an example of economic impact report content. Input‐output modeling is an effective analytical tool for corporate real estate site selection, facilities expansion, and other community relations projects. This study addresses the major issues in corporate/community relationships and focuses on the corporate need to demonstrate project contributions to community economic vitality. As political, special interest, and public views about business expansion and development harden, corporate real estate executives and specialists need to utilize effective tools to balance the debate.

This study presents a review of input‐output economic modeling techniques, application of the model, key terms, a case study of a $2.1 billion expansion project, and a sample outline of an impact analysis report. This approach provides a good conceptual framework, terms, and the application of an economic and employment impact approach to measuring the total contribution of corporate real estate activities in a community or region.

Demonstrates methods measuring economic and employment multipliers resulting from direct, indirect, and induced corporate project impacts. The findings will assist professionals responsible for corporate/community relations by enhancing their understanding of economic impacts.

This paper presents an overview of an effective modeling technique that can be used to accurately estimate the community economic and employment contributions resulting from a new corporate real estate project. Emerging corporate/community relations issues are discussed and resources are identified.

Researchers are showing lately an increased interest toward the special event tourist niche, mostly due to the growth in demand for manifestations such as exhibitions, festivals and other historical and cultural displays. Besides meeting demand, special events are organized having in mind many other outcomes, one of them being their economic impact. Indeed, they may lead to an influx of funds in the area that in turn leads to increased sales, therefore to an increase in income and to the creation of new jobs. It is important that this type of events is analyzed allowing for better allocation of resources as well as for better planning of future similar events. Furthermore, estimating the event's possible economic impact in the planning phase could also lead to a much higher efficiency hence a more successful event. This study analyzes two of the most successful special events organized in Mississippi that attracted over 500,000 and 300,000 visitors. The study presents interesting findings related to patron profile as well as to their potential economic impact suggesting that such events may indeed lead to a significant increase in economic activity.

Direct economic use and changing patterns of human habitation have long been a cause of concern for the ecological health of many rivers and tributaries. Current development trends in many watersheds are driving the conversion of rural, agricultural and forestland to urban or industrial uses. While any single project may not have an adverse effect on the watershed as a whole, the summation of development can rapidly change the character of the landscape and alter the ecosystem functions of a river, its tributaries and an entire watershed. This chapter is a discussion on using available tools to help piece together economic transactions and their relationship to the land.