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The goal of this paper is twofold. The first goal is to incorporate spatial structure within shift-share analysis, to take into account interregional interaction in the decomposition analysis. Secondly, this paper develops a taxonomy of regional growth rate decompositions. A taxonomy of the spatial structure is presented; it comprises twenty alternative decomposition structures, including the original standard shift-share analysis as well as six alternative structures outlined in the taxonomy for non-spatial structures.

PARR J. B., HEWINGS G. J. D., SOHN J. and NAZARA S. (2002) Agglomeration and trade: some additional perspectives, Reg. Studies 36, 675-684. The form of agglomeration economies (those internal to the firm as well as those external to it) is reviewed. Consideration is next given to recent changes in the regional (state) economies of the US Midwest, as part of an effort to explore the evolving nature of agglomeration economies. Particular attention is paid to the changing relationship between the establishment and the firm and to radical developments that have affected the transportation sector. The impact of these changes on the nature of interstate trade and on the structure of the metropolitan economy are then examined. There follows a discussion of how agglomeration economies are being supplemented and perhaps replaced by less spatially-constrained advantages. Finally, certain of the more important implications of these various trends are discussed. Agglomeration economies Transportation Trade Hollowing out

Previous studies have cited inequality as a major factor relating to conflicts in Indonesia, while consideration of polarization and fractionalization as drivers of conflict is limited. The current paper examined the roles of three indices (polarization, inequality and fractionalization) in explaining the incidence of conflicts in Indonesian provinces over 2002–2012. This study used income (proxied by expenditure) differences to measure polarization and inequality, with subnational data as the unit of analysis. In addition, to complete the analysis, the present study used a variety of socioeconomic indicators as additional control variables. This paper verified that the high degrees of income polarization, ethnic fractionalization and income inequality are associated with the high probability of conflicts in Indonesian provinces. It also found that socioeconomic factors such as poverty, unemployment, population and natural resources, as well as some types of local government spending are significantly associated with conflicts. [ABSTRACT FROM AUTHOR]