Endnotes

¹See Francois and Manchin (2007) for a discussion of the linkages between trade, infrastructure, and growth.

²For a review of infrastructure and growth in developing countries, see Straub (2008).

³For an overview, see Chapter 3 of McCulloch, Winters, and Cirera (2001).

⁴The model was solved using GEMPACK software (Harrison and Pearson 1996), using the RunGTAP interface.

⁵Candidate 2, released October 2008.

⁶Particular caution is order when considering data and results for Myanmar, given the quality of the underlying data.

⁷In the absence of available actual transportation cost data to produce a complete set of bilateral margins for the GTAP dataset, these transport margins are estimates (Gehlhar and McDougall 2006).

⁸Poverty assessments for Myanmar and the GMS areas of the PRC are not possible with current data availability.

⁹The World Bank has recently released a new measure of poverty based on purchasing power parity and US$1.25 per day. This poverty line falls between our US$1 and US$2 measures. For more details on these changes, see World Bank (2010).

¹⁰These were estimated using a pre-release of the database with 96 countries available.

¹¹A clear limitation of this approach stems from the rigidity of a given households' classification by earnings specialization. Obviously households maybe induced to change their specialization or diversify in response to changing relative factor returns. We believe that the relatively broad definition of strata circumvents this problem for the majority of households in the face of modest earnings changes.

¹²To split non-wage income between capital and land, we used the factor payment shares from the GTAP database, which are based on econometric studies of cost shares in agriculture.

¹³To be included in the forthcoming Completion Report of the Greater Mekong Subregion's East–West Transport Corridor Project.

¹⁴The map is still under development, so documentation is currently unavailable.

¹⁵For a complete list of routes and provisions of the CBTA, see ADB (2005a).

¹⁶The 2015 projections are based on the para rubber industry and are thus illustrative of the kinds of savings to be expected along the routes. For details of the measurements, see Banomyong (2007).

¹⁷These transportation cost reductions are proxied by productivity improvements in the transportation margin sector covering land transportation.

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