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This paper applies the emerging neoclassical economic theory of politics to the question of why some industries receive more government assistance than others. Various determinants of the incentives for interest groups to demand assistance and for governments to supply assistance are suggested on a priori grounds. An attempt is then mode to see how well these factors can explain (I) the differences between rates of assistance to Australia's munufacturing industries at various points in time between 1968–49 and 1977–78. and (2) the different changes in those rates during the mid-1970s. The evidence generally supports the theory, and prompts some suggestions as to how to reduce existing government distortions.

This paper applies the emerging neoclassical economic theory of politics to the question of why some industries receive more government assistance than others. Various determinants of the incentives for interest groups to demand assistance and for governments to supply assistance are suggested on a priori grounds. An attempt is then mode to see how well these factors can explain (I) the differences between rates of assistance to Australia's munufacturing industries at various points in time between 1968–49 and 1977–78. and (2) the different changes in those rates during the mid-1970s. The evidence generally supports the theory, and prompts some suggestions as to how to reduce existing government distortions.

1. Introduction -- The need for industrial location analysis -- Concentration on disaggregated manufacturing activity -- The location of economic activity -- Outline of following chapters -- 2. Description Of The Data Base -- Regions used -- Location data -- Industrial linkage data -- Summary -- 3. Measurement of Factors Influencing Industrial Location -- Nonrandomness in location -- The orientation of industries -- Summary -- 4. The Measurement of Geographic Association -- Previous measures of geographic association -- The measure of association used -- The effect of cluster size on geographic association -- Variation in the measure of geographic association between urban and rural regions -- Geographic associations among more than two industries -- Summary -- 5. The Impact of Linkages on Industrial Location -- Analysis of results for all industries -- Regression analysis of individual manufacturing industries -- Industrial complexes -- Summary -- 6. Summary of Results and Conclusions -- Summary of preceding chapters -- Implications for industrial location practice and policy -- Suggested extensions of the analysis -- List Of References -- Appendices -- A-1. Substitution of SEA's for SMSA's in the Northeast -- A-2. Method of selecting 199 industries used -- A-3. Extent and consequences of errors remaining in data -- B-1. Biased correlation coefficients with disaggregated regional data -- B-2. Factor analysis identification of industrial complexes -- C-1. Summary of bilateral linkages and associations by industry -- C-2. Correlations between employment estimates for three subdivisions of ten sample industries -- C-3. Correlations between employment estimates for SMSA and non-SMSA subdivisions of fifteen sample industries.

Harnessing production networks : impacts and policy implications from Thailand's manufacturing industries. -- Contents -- List of Tables and Figures -- Acknowledgements -- 1. Introduction -- 2. Characteristics of Firms in Thailand's Manufacturing Sector -- 3. Firm Productivity Effects -- 4. Labour Productivity Effects -- 5. Skills Upgrading: Winners or Losers? -- 6. Outsourcing Typology: Does It Matter? -- 7. Policy Implications -- Bibliography -- Index -- About the Author.