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This paper aims to contribute to understanding regional competitiveness policy-making and the role academic organisations can play in that process. Competitiveness policies have evolved in the past decades from a single to a multiple-domain field, which has made the policy-making process more complex by adding more actors with their particular experience and view. This complexity, together with the relevance of overcoming traditional policy implementation failures, pleads for a new approach to competitiveness policy-making, in which academic organisations can act as “anchor institutions”. This framework is based on the adaptive implementation concept.

The paper uses the Basque case to analyse the role of universities in competitiveness policy-making and focuses on a specific academic organisation, which has contributed through different projects to regional policy-making. Evidences from those projects through different policy phases are included in the case.

The case shows how academic organisations might play a key role in fostering an adaptive implementation approach in competitiveness policy-making at the regional level and which specific characteristics these organisations should develop to fulfil this role.

This paper brings together two important issues for regional competitiveness: the importance of policy implementation and the particular role of engaged universities in such a process.

The objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.

The data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMMs) is used for this dynamic regression estimation.

Based on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.

The limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.

The RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.

Construction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

This study explores how to develop high-tech industries in Hunan province and enhance regional competitiveness. Through the comprehensive quantitative analysis of the development status of the high-tech industry in Hunan province, this paper provides a reference for the development of the high-tech industry in China and the world.

This study constructs a comprehensive evaluation index system of regional competitiveness in Hunan province from the five dimensions of innovation, coordination, green, openness and sharing of the “new development concept.” Through the screening and analysis of relevant economic indicators in Hunan province from 2011 to 2020, the principal component analysis method is used to measure the five development dimensions, verify the hypotheses in the study and finally draw the conclusion.

Hunan's high-tech industry is positively correlated with Hunan's regional innovation development competitiveness, regional coordinated development competitiveness, regional green development competitiveness, regional open development competitiveness and regional shared development competitiveness. Among them, the promotion effect on innovation development is the best, followed by the promotion effect on green development, coordinated development and shared development dimension. In contrast, the promotion effect on the open development dimension is relatively weak.

The statistical data selected in this study have certain timeliness. At the same time, the current economic environment is affected by the new corona pneumonia epidemic, showing specific particularity. In this context, it is bound to cause changes in the impact of high-tech industries on regional competitiveness. In addition, this paper studies the regional competitiveness of Hunan's high-tech industry from a macro perspective. Although relevant studies are conducted from five dimensions, there is a lack of micro-level research.

From five aspects of the new development concept, this study provides suggestions for developing high-tech industries in Hunan province and even China and the path to enhance regional competitiveness.

Up to now, no article measures regional competitiveness with the five development dimensions of new development: innovation, coordination, green, openness and sharing, and quantitatively analyses regional competitiveness on this basis.

This paper is a historical account of the process by which Michael Porter and INCAE Business School put together a regional competitiveness strategy for Central America that was officially adopted by the governments of five participating countries, and implemented through a series of Presidential Summits that occurred between 1995 and 1999. The paper provides a unique case study on the adoption of the concepts put forth by Porter in his book “The Competitive Advantage of Nations” (1990) at the highest level of government. The study arrives at a series of practical implications for policy makers that are particularly relevant for the implementation of supra-national regional strategies.

The authors conduct an extensive literature review of 190 policy papers produced by INCAE Business School, that are used to recreate the historical evolution of the regional competitiveness strategy. The effect of Porter’s intervention is also assessed by comparing the main economic indicators of each participating country with those of 2005-2010. One of the authors was the main protagonist in the successful implementation of the strategy, and the paper relies partially on his accounts of events.

This study describes how economic policy in Central America was profoundly influenced by Michael Porter’s thinking in the second half of the 1990s. These policy changes promoted international competition of Central American clusters and firms, and opened the region for international investment and tourism. The region experienced important increases in its economic integration, its international trade, foreign direct investment and tourist arrivals. Gross domestic product growth was accelerated in Honduras and Nicaragua.

Like all case studies, this study has limits related to the generalizability of its conclusions. Additionally, it is not possible to determine the precise nature of the relation between the implementation of the regional economic strategy, and the impact on economic growth, integration, FDI attraction and exports.

The paper has several practical implications that relate to the design of regional economic strategies. First, it identifies policy areas that are more effective as part of regional strategies, and distinguishes them from those that should be resolved at the national level. Second, it suggests a process that can facilitate execution. Finally, it provides an example of the coordinating role that can be assumed by an academic institution such as INCAE.

The Central American Competitiveness Initiative provides a unique setting to study the implementation of competitiveness policy for several reasons. First, in all countries in Central America, Michael Porter’s diamond framework (1990) and cluster theory were officially adopted at the highest level of government. Second, in addition to their individual competitiveness strategies, all countries adopted a regional strategy for cooperation and economic integration. Finally, the Central American Competitiveness Initiative was founded on one of the first competitiveness think tanks of the world.

Regional competitiveness refers to the capacity of a region to manage its resources and competencies to increase the well-being of its people. Measuring regional competitiveness is, thus, a major consideration for policymakers, businesses and the academic community in their endeavour to improve the same. This paper aims to demonstrate a novel way to calculate the regional competitiveness index under a two-stage objective general index (OGI) framework.

The authors compute the regional competitiveness index under a two-stage OGI framework. In the first stage, they aggregate the sub-factor level information into a factor level index; in the second stage, they use the factor level index to obtain a regional competitiveness index.

The authors discuss the properties of the proposed index in detail. They further analyse five periods of regional competitiveness of Peru spanning the period 2008-2015. Among others, the results reveal the existence of the resource curse of the mining regions of Peru.

The paper is a contribution to the practical measurement of competitiveness.

The calculation of a regional competitiveness index is vital for improving the competitiveness of the countries and for reducing regional inequalities.

When compared to the existent methods available in the literature, the advantage of the proposed method resides in the fact that the derived index has a positive correlation with the factor-level indices and the factor-level indices have a positive correlation with the sub-factor-level information.

The purpose of this paper is to propose a GIS‐based regional competitiveness evaluating software system. With a regional competitiveness evaluating software system, researchers can compare their studies with each other, so that more generally accepted concepts, models, and evaluating methodologies can be obtained. Furthermore, such a system can facilitate researchers to conduct studies more efficiently and effectively, so that a deep insight into regional competitiveness can be achieved.

Based on the system theory, a thorough investigation into the nature of a region and its competitiveness are conducted, so that the software designing demands are identified and a client/server and browser/server architecture is proposed for the system. In addition, the Delphi method is employed to improve the performance of the software system, while a primary experimental study is conducted to verify its effectiveness.

Developing such a software system, the GIS and database techniques should be harnessed, while Delphi method should be employed to improve system performance.

Identifying evaluating index set and obtaining corresponding data are the main limitations of the system working.

The ideology of designing a regional competitiveness evaluating software system is proposed.

An efficient and generic methodology of evaluating regional competitiveness is devised.

The purpose of this paper is to incorporate factors that characterize the agricultural activity as productivity indices to compute the agricultural competitiveness of regions in order to rank the regions, and compare the results with those obtained by applying other commonly used social and economic indicators.

The authors identify regional factors related to the use of water, soil, production, revenues, and rural population, which conform a total of six productivity indices, that the authors then employ to calculate the regional agricultural competitiveness index.

The agricultural-related indices are informative in supporting the regional ranking related to resources and technology utilization. The results reveal that the coastal regions are the most competitive when compared to the regions located in the highlands and the jungle. Nevertheless, in contrast with other existing competitiveness rankings, the present study identifies the regions with the greatest potential for agriculture.

The authors identify the regions which have a higher potential of development considering the natural resources and agricultural production. The authors hope that this paper can assist regional and national policymakers in their endeavor to improve regional and national competitiveness.

The authors identify the regions with a higher potential of development considering natural resources and agricultural production and the possibilities to improve their competitiveness.

The study also bears social implications, given that the rural activities in Peru are carried out by approx. 7 million inhabitants, whose contribution to the gross domestic product (GDP) is as much as 7 percent, making use of about 94 percent of the available water.

The originality of the present paper resides in the attempt to compute a regional competitiveness index by taking agricultural resources as determinant factors. The authors rank the regions based on their agricultural competitiveness.

Developing composite index-regional entrepreneurship, technological readiness and institution quality index (RETRIQ) of regional entrepreneurship, technology readiness and quality of institution to measure regional competitiveness. This study, also, aims to test econometrically the effectiveness of the index in capturing the economic performance of the sub-national regions.

The data of eight indicators used in the index are from sources available freely in the public domain. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMM) is used for this dynamic regression estimation.

Based on RETRIQ, 32 states and union territories of India have ranked. The estimation using GMM shows a significant association between the composite index and economic growth.

The limitations of the study include the broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment and data constraints as it is a longitudinal study. Then, the implication of the study is that the composite index-RETRIQ could capture differences in regional competitiveness explaining regional economic disparity.

The index will be useful for policy implications in the assessment of competitiveness disparity.

It is a composite index of regional entrepreneurship, technological readiness and quality of the institution. The panel data across states along 10 years series is novel.

“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.

The purpose of this paper is to provide a measure of competitiveness of the Spanish autonomous communities from a multidimensional and dynamic perspective for the period 2008-2016.

This paper adopts a broad definition of competitiveness based on five key environments (productive capital, human capital, social and institutional capital, infrastructure and knowledge) and comprising 53 indicators. The method used to construct the competitiveness index is based on the P-distance proposed by Pena Trapero (1979), which objectively assigns weights to the indicators. There is an important advantage in the methodological proposal of this study, as it allows analyzing the behavior of partial and aggregated indicators from a dynamic perspective, taking the same value as a reference for the entire period. Therefore, not only a classification obtained for each year but also the variation that occurs in terms of the reference period can be analyzed.

The classification of the autonomous communities is established using common intervals based on the results obtained for the whole period, i.e. 2008-2016. The data point to the unequal situations of the autonomous communities. The results also reveal that the evolution of the regional competitiveness synthetic index is clearly cyclical and the drop recorded in the recessive period is less pronounced than the increase recorded in the growth phase.

The main innovation of the competitiveness index presented here lies in its allowing comparisons over time.