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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.

The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries.

Initially, the economic input-output tables of US economy and carbon footprint multipliers were collected from EORA database (Lenzen et al., 2012). Then, economic input-output life cycle assessment models were developed to quantify the carbon footprint extents of the US manufacturing sectors between 1970 and 2011. The carbon footprint is assessed in metric tons of CO₂-equivalent, whereas the economic outputs were measured in million dollar economic activity.

The salient finding of this paper is that the carbon footprint stock has been increasing substantially over the last four decades. The steep growth in economic output unfortunately over-shadowed the potential benefits that were obtained from lower CO₂ intensities. Analysis of specific industry results indicate that the top five manufacturing sectors based on total carbon footprint share are “petroleum refineries,” “Animal (except poultry) slaughtering, rendering, and processing,” “Other basic organic chemical manufacturing,” “Motor vehicle parts manufacturing,” and “Iron and steel mills and ferroalloy manufacturing.”

This paper proposes a state-of-art time series input-output-based carbon footprint assessment for the US manufacturing industries considering direct (onsite) and indirect (supply chain) impacts. In addition, the paper provides carbon intensity and carbon stock variables that are assessed over time for each of the US manufacturing industries from a supply chain footprint perspective.

This paper aims to quantify the loss (or leakage) of organic cattle to conventional value chains in Ireland and assess its economic and environmental impacts.

The paper adopts a Bio-economy Input-Output (BIO) model, a quantitative economic model representing the interdependencies between different sectors of the economy, to assess the economic and environmental impacts of organic leakage in the Irish beef sector.

The study reveals that 17% of organic cattle aged under 1 year old leave the organic value chain, leaking to the conventional market as a result of imbalances in the development of the beef value chain. The economic cost of this organic leakage is 5.66 million euros. Leakage also has environmental effects because of changes in lifecycle methane and nitrogen emissions based on longer finishing times on organic farms and chemical fertilisers applied on conventional farms. The organic leakage results in a reduction of 82 tons of methane emission and 52 additional tons of nitrogen emission, which leads to 11,484 tons of net global warming potential (GWP) for a 100-year time horizon.

Because of data availability, the research focussed on the baseline year 2015, which had national data available for disaggregation in Ireland. Therefore, researchers are encouraged to assess the economic and environmental impacts when more recent data are available and to analyse the change in the impacts over the years.

This study contributes to the discussion on organic conversion and provides valuable insights for stakeholders, especially policymakers, for the design of future organic schemes.

This is the first paper to assess organic leakage in the beef sector.

The production of waste creates both direct and indirect environmental impacts. A range of strategies are available to reduce the generation of waste by industry and households, and to select waste treatment approaches that minimise environmental harm. However, evaluating these strategies requires reliable and detailed data on waste production and treatment. Unfortunately, published Australian waste data are typically highly aggregated, published by a variety of entities in different formats and do not form a complete time-series. We demonstrate a technique for constructing a multi-regional waste supply-use (MRWSU) framework for Australia using information from numerous waste data sources. This is the first subnational waste input–output framework to be constructed for Australia. We construct the framework using the Industrial Ecology Virtual Laboratory (IELab), a cloud-hosted computational platform for building Australian multiregional input–output tables. The structure of the framework complies with the System of Environmental-Economic Accounting (SEEA). We demonstrate the use of the MRWSU framework by calculating waste ‘footprints’ that enumerate the full domestic supply chain waste production for Australian consumers.

With the global outbreak of COVID-19 that has made the economic activities standstill, countries have taken immediate measures to safeguard not only the human lives but also the economies. This study investigates empirically the lockdown impact of current pandemic on the Saudi economy.

The study employs inoperability input–output model (IIOM) on the input–output table (IOT) of Saudi Arabia for the analysis.

Findings show that with the closure of few sectors for the period of two months, the GDP declined to 6.49%. Findings also show a negative impact on consumption, investments and exports.

One limitation of current study is that it uses IOTs which lack primary and secondary income distribution that is vital for presenting complete interindustry connections in the analysis. The interindustry structures relate to the consumption structures which ultimately lead to the income distribution and affect the consumption behaviors of economic agents. Hence, the complete income circular flow is not incorporated in IIOM using IOT. The findings of current study would be well grounded if it endogenized the primary and secondary income distribution.

The practical implication of this study is the use of IIOM for anticipating the potential loss against the backdrop of catastrophes and pandemics. The IIOM has the capability to predict the economic effects of disruptive events and hence the policy-makers can better predict and devise prudent policies to avoid the likely threats to the economy.

The current situation is unprecedented, and it is challenging for governments to forecast the economic repercussions. Several economic sectors have been inoperative due to lockdown implemented by the governments. This study empirically estimated the inoperability produced by the current pandemic. The findings are consistent with other estimated statistics, thereby proving the efficacy of IIOM to anticipate the economic repercussions of natural hazards.

Carbon footprint assessment requires a holistic approach, where all possible lifecycle stages of products from raw material extraction to the end of life are considered. The purpose of this paper is to develop an analytical sustainability assessment framework to assess the carbon footprint of US economic supply chains from two perspectives: supply chain layers (tiers) and carbon footprint sources.

The methodology consists of two phases. In the first phase, the data were collected from EORA input output and environmental impact assessment database. In the second phase, 48 input-output-based lifecycle assessment models were developed (seven CO₂ sources and total CO₂ impact, and six supply chain tiers). In the third phase, the results are analyzed by using data visualization, data analytics, and statistical approaches in order to identify the heavy carbon emitter industries and their percentage shares in the supply chains by each layer and the CO₂ source.

Vast majority of carbon footprint was found to be attributed to the power generation, petroleum refineries, used and secondhand goods, natural gas distribution, scrap, and truck transportation. These industries dominated the entire supply chain structure and found to be the top drivers in all six layers.

This study decomposes the sources of the total carbon footprint of US economic supply chains into six layers and assesses the percentage contribution of each sector in each layer. Thus, it paves the way for quantifying the carbon footprint of each layer in today’s complex supply chain structure and highlights the importance of handling CO₂ source in each layer separately while maintaining a holistic focus on the overall carbon footprint impacts in the big picture. In practice, one size fits all type of policy making may not be as effective as it could be expected.

This paper provides a two-dimensional viewpoint for tracing/analyzing carbon footprint across a national economy. In the first dimension, the national economic system is divided into six layers. In the second dimension, carbon footprint analysis is performed considering specific CO₂ sources, including energy production, solvent, cement and minerals, agricultural burning, natural decay, and waste. Thus, this paper contributes to the state-of-art sustainability assessment by providing a comprehensive overview of CO₂ sources in the US economic supply chains.

The purpose of this paper is to explore the value added of exports of services, which increasingly involve intermediate inputs to manufacturing and are indirectly embodied in intermediate and finished good exports to the global market earned by Taiwan and South Korea.

This paper uses the World Input-Output Database to examine and compare the competitiveness of service industry between Taiwan and South Korea in China from 1995 to 2011. The author measures the value added of export in two ways: value added in trade (VAiT) and trade in value added (TiVA).

The proportion of domestic (intermediate and final demand) VAiT was created by Taiwanese and South Korean exports to China. The services amount share of value added embodied in Taiwanese electrical and optical equipment (ELE) exports to China increased gradually (38.0–45.7 percent) from 1996 to 2011, that was more than that of South Korea (26.7–23.3 percent). Taiwanese financial and business (F&B) service contributed to Taiwanese ELE production exported to China. In service sectors, the proportion of VAiT of Taiwanese F&B service embodied in ELE exports to China increased annually (9.8–11.5 percent), that was similar to that of South Korea (12.2–11.3 percent). Thus, F&B sector played an increasingly important role in service sectors. Taiwanese F&B promotes the ELE export to China with higher efficiency than South Korea does.

Over the past two decades, the development of information technology and the growth of international specialization and fragmentation of production processes have brought about a global value chains (GVCs) phenomenon in services, which has already been taking place in manufacturing for a long time. Intangible value added of services increasingly involved intermediate inputs from manufacturing and were indirectly embodied in intermediate and finished goods exported to the global market. The focus of this paper is to analyze how the service industry participates in the development of the GVC, with emphasis on the export of ELE production to China in the bilateral trade of Taiwan and Korea with China. In addition to the value-added components, the exports of F&B intermediate products to China have been increasing year by year, and Taiwanese is higher than South Korean. In the bilateral trade between Taiwan or Korea and China, for ELE production exported to China, double counted part of intermediate products is increasing year by year. In terms of the value added of the double counting of F&B exports to China, Taiwan is higher (PDC, 31.23–17.26 percent) than South Korea. (PDC, 8.7–15.12 percent). South Korea and China are not as closely related as Taiwan and China.

The earth’s carrying capacity cannot withstand the pace of consumption resulting from current economic models, mainly the linear economy (LE) built on a throwaway culture. In the last few decades, the concept of a circular economy (CE), aiming to design waste out of the economy and mimic ecosystems, emerged as a strong alternative to LE. Being at the heart of the economic landscape, supply chains (SCs) need to respond to the necessary shift to CE. In so doing, the planning and execution of circular supply chains (CSCs) require a broader comprehension of CE and more sophisticated and large-scale analytical decision models. This chapter surveys extant literature on available best practices and quantitative models for sustainable supply chains (SSCs) and offers a new definition of CSC. Mapping on the knowledge extracted from this classification, potential gaps and strengths in the literature are identified. Key research papers on the “closed-loop” and “open-loop” ends of CSCs are highlighted. Challenges in developing CSC performance indicators and prescriptive models are emphasized.

The aim of this paper is to analyze and compare the performance of the construction sector in Turkey and selected European Union (EU) countries using input‐output (IO) tables for the years 1998 and 2002.

IO tables are used to analyze and compare the construction sector. First the input‐output analysis and the construction sector are briefly introduced. Then, the data and methodology are specified. A set of indicators obtained from the data is used for the comparative analysis.

The construction sector of the selected 13 countries is examined in terms of Gross National Product (GNP) and National Income (NI) shares; direct and total construction backward and forward linkage indicators and direct and total construction inputs from manufacturing and services reflecting the technologies used in construction. The key findings are pointed out in the conclusion.

The lack of data from Turkey relating to recent years and incompatibility of new and old data limit this study's scope to the two years.

The concept of using IO analysis for comparing the construction sector has been around for a considerable period of time. This paper has an importance for comparing the construction sector in Turkey and some selected EU countries, being the first study in that field in Turkey, and is therefore of direct importance for the Turkish construction sector.