Titlebook: Economic Integration and the Location of Industries; The Case of Less Dev Ikuo Kuroiwa (Director General) Book 2012 Palgrave Macmillan, a d

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,Fugenversagen – Fugensanierung,ltilateral donors, collects statistical data to monitor the country’s development and evaluate the implementation of development policies based on the Rectangular Strategy, National Strategic Development Plan, and the Cambodia Millennium Development Goals. In this explanatory note, we describe Cambo

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What Happened to the Frankfurt School?,local authorities have been responsible for the compilation and/or collection of statistical data in Laos since 1975. Among these, the NSC functions as the coordinating body, and is responsible for providing technical advice on the collection and supply of socio-economic statistical data. The NSC be

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Bauchgefühl bei Start-up InvestmentsFollowing the conclusion of the long and agonizing civil war in Cambodia in 1991, the economic cooperation program for the Greater Mekong Subregion (GMS), led by the Asian Development Bank, was started in 1992.. Six countries joined the GMS: Cambodia, Laos, Myanmar, Vietnam, Thailand, and China (the first four are commonly referred to as CLMV).

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https://doi.org/10.1007/978-1-349-16281-9So far we have discussed how economic integration has affected industry location in CLMV countries. Although it is not easy to draw straightforward conclusions, we can summarize the results of our analysis as follows.

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,Numerische Lösungs- und Näherungsverfahren,Myanmar’s official statistics provide considerably outdated and narrowly covered data on its industrial situation. The Government of Myanmar (GOM) has been at the rudimentary stage of developing an effective statistics system.

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Explanatory Note on Data Sources 4: MyanmarMyanmar’s official statistics provide considerably outdated and narrowly covered data on its industrial situation. The Government of Myanmar (GOM) has been at the rudimentary stage of developing an effective statistics system.

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Measures for Geographical Concentration and Specialization with Administrative-area Datae convenience of data collection and processing; the data used for constructing these measures is administrative- area data rather firm- level data, although the measures for firm-level data developed recently. In this chapter, the property of these measures, and the merits and limitations of using them, are summarized.