Grapes, Wine and Water: Modelling Water Policy Reforms in &#x0D;
Australia

Stringer, Randy; Wittwer, Glyn

doi:10.2139/ssrn.295493

Cited by 12 publications

(3 citation statements)

References 30 publications

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“…In a first step, we compile two MRIO tables

\left[ { \def\eqcellsep{&}\begin{array}{@{}*{2}{c}@{}} T & y\\ v & {} \end{array} } \right]

containing transactions T , final demand y , and value added v matrices: One for Australia with the sub‐national detail as in Figure 2, and distinguishing 17 sectors as listed in Section S1‐1.2 in Supporting Information S1, and one for the world with the same sector classification (we have { i , j }` = { k , l } here, but this is just for convenience and neither required nor automatic), and with country detail as in Section S1‐1.2 in Supporting Information S1. We support the estimation of wine‐specific monetary transactions by using a number of Australian (ABS, 2013b; Stringer & Wittwer, 2001) and global (Anderson & Pinilla, 2020; Anderson et al., 2019; OIV, 2020) data sources. The remainder of non‐wine monetary transactions is constrained by the usual data for Australia (Lenzen et al., 2017a) and the world (Lenzen et al., 2017b).…”

Section: Methods and Datasupporting

confidence: 59%

Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers

Fry

Geschke

Langdon

et al. 2021

J of Industrial Ecology

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Industrial Ecology Virtual Laboratories (IELabs) enable the construction of national‐to‐local‐scale multi‐regional input–output (MRIO) models. These IELabs have been proven to be especially important for analyzing research questions that warrant sub‐national spatial detail. The field of industrial ecology has clearly progressed from the time of national‐only input–output tables. Here, we present a newly developed tool called NLab—“nested IELab”—that nests sub‐national MRIO tables within global country‐scale MRIOs. This capability allows for the investigation of interactions between sub‐national production and consumption systems, with global systems interlinked via international trade. We provide a technical and mathematical roadmap for construction of nested input–output tables in the NLab, and demonstrate this capability through a real‐world assessment of the Western Australian wine industry. Our results suggest that nested MRIO tables provide an added layer of detail at a regional level, when undertaking consumption‐based footprint assessments, leading to improved assessment of quantification of regional impacts. The NLab presented in this work provides tools for analysis of complex trade linkages between industries at various scales, which has the further potential to open avenues for policy‐makers to analyze the implications of local decisions at a global level, and vice versa.

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“…In a first step, we compile two MRIO tables

\left[ { \def\eqcellsep{&}\begin{array}{@{}*{2}{c}@{}} T & y\\ v & {} \end{array} } \right]

Section: Methods and Datasupporting

confidence: 59%

Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers

Fry

Geschke

Langdon

et al. 2021

J of Industrial Ecology

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“…CGE models have also been used in Australia to address water scarcity scenarios and policy mechanisms. Stringer and Wittwer (2001) used a national‐level CGE model of the Australian economy to explore the key factors motivating the change in national, regional and local water institutions and examined how the resulting policy reforms affect water markets, water use and profitability of grape growers. Adams et al.…”

Section: Modelling Framework and Data Acquisitionmentioning

confidence: 99%

“…, 2007). CGE models have also been used in Australia to address water scarcity scenarios and policy mechanisms (Stringer and Wittwer, 2001; Adams et al. , 2002; Horridge et al.…”

Section: Introductionmentioning

confidence: 99%

The Economic Impact of Increased Water Demand in Australia: A Computable General Equilibrium Analysis

Qureshi

Proctor

Young

et al. 2012

J of App Econs and Policy

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This paper explores the impact of increased population and water demand and reduced water supply on sectoral and regional output and employment in Australia utilising a multi‐regional computable general equilibrium model. The results indicate that the increase in water demand will significantly increase the shadow price (or opportunity cost) of water use in major urban centres. For cities predicted to have high growth rates such as Sydney, Brisbane and Perth, if rising water scarcity had not been supplemented by new water supplies, and if the price of water had reflected rising scarcity, the price of water would have risen by fivefold, sevenfold and eightfold per kilolitre respectively. However, allowing rural–urban water trading and developing new water sources would reduce water scarcity and the opportunity cost of water use and the economic impacts on the Australian economy.

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An Introduction to CGE Modelling

Meng

Siriwardana

2016

Assessing the Economic Impact of Tourism

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Grapes, Wine and Water: Modelling Water Policy Reforms in Australia

Cited by 12 publications

References 30 publications

Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers

Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers

The Economic Impact of Increased Water Demand in Australia: A Computable General Equilibrium Analysis

An Introduction to CGE Modelling

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