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This paper attempts to examine which theory is best at explaining the geographic concentration in Java, an island in which most of the Indonesia’s large and medium manufacturing industries have located overwhelmingly. Our previous studies on Java have found that there was a stable – albeit increasing trend – and persistent geographic concentration in Java over the period 1976‐1995. Yet some critical questions exist: Why geographic concentration in Java persisted during this period? To what extent relevant theories and empirical literature can be used as an explicit test of competing theories on agglomeration forces? In answering those questions, we compare the three major grand theories of geographic concentration: Neo‐Classical Theory (NCT), New Trade Theory (NTT) and New Economic Geography (NEG). Using the regional specialization index as a measure of geographic concentration of manufacturing industry and pooling data over the period 1991‐002, our econometric analysis integrates the perspectives of industry, region (space) and time. We further explore the nature and dynamics of agglomeration forces underpinning the industrial agglomeration in Java by testing some key variables. Our econometric results rejected the NCT hypotheses and showed that the NTT and NEG can better explain the phenomena. It’s apparent that manufacturing firms in Java seek to locate in more populous and densely populated areas in order to enjoy both localization economies and urbanization economies, as shown by the significance of scale economies and income per capita. The former is associated with the size of a particular industry, while the latter reflects the size of a market in a particular urban area. More importantly, the results suggest that there is a synergy between thickness of market and agglomeration forces. The interplay of agglomeration economies is intensified by the imperfect competition of Java’s market structure. We find that Java’s market structure may restrict competition so that firms tend to concentrate geographically. Instead of providing some important recommendations for local and central governments and practical implications for investors and manufacturing firms, this paper gives empirical evidence with respect to path dependency hypothesis. The finding supports the NEG’s belief that history matters: older firms tend to enhance regional specialization.

The article attempts to reassess the world economy with an eye to understanding what is automatic about it and thus beyond the control of national economies. Towards that end, Schumpeterian analysis is applied in an effort to illustrate how changes occur and how such changes affect discrete units or subsets of international capitalism. The discussion suggests that firms with leadership roles in national economies may bring those economies down with them if they lose their position in the world economy. It also suggests that the international economy may provide firms with a more flexible climate which in turn may prolong their effective lives. The major policy implication for governments is that such institutions may no longer have it within their preserves to control economic activities spawned in the international arena.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

Baltagi and Li (2001) derived Lagrangian multiplier tests to jointly test for functional form and spatial error correlation. This companion paper derives Lagrangian multiplier tests to jointly test for functional form and spatial lag dependence. In particular, this paper tests for linear or log-linear models with no spatial lag dependence against a more general Box-Cox model with spatial lag dependence. Conditional LM tests are also derived which test for (i) zero spatial lag dependence conditional on an unknown Box-Cox functional form, as well as, (ii) linear or log-linear functional form given spatial lag dependence. In addition, modified Rao-Score tests are also derived that guard against local misspecification. The performance of these tests are investigated using Monte Carlo experiments.

Although a high proportion of the Ghanaian population live and work in under‐developed areas, research on rural infrastructure development is scarce. The purpose of this paper is to explore the challenges confronting rural infrastructure development and the requisite incentives needed to boost it.

An inductive methodological approach was adopted using a structured questionnaire to survey the perceptions of rural contractors.

Incentive systems identified include the provision of mobilization funds for projects; a plant pool for rural contractors; special allowance for rates of project items; and provision of letters of credit to secure loans for projects. Key challenges confronting rural construction were identified as a lack of financial institutions willing to support projects with funds; lack of potable water; lack of good health care systems; and lack of a goods market to supply materials.

Identification of challenges and incentive systems for rural infrastructure development provides an opportunity to reinvigorate rural infrastructural development in sub‐Saharan Africa.

The study will be of value to all project partners throughout the supply chain who contemplate rural infrastructure development.

The paper presents a novel epitome of rural infrastructure delivery in the developing country of Ghana.