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Presentation of the different industrial carbon linkages of India. The purpose of this paper is to understand the direct and indirect impact of these industrial linkages.

This study uses a hypothetical extraction method with its various extensions. Under this method, different carbon linkages of a block are removed from the economy, and the effects of carbon linkages are determined by the difference between the original and the post-removal values. Energy and non-energy carbon linkages are also estimated.

“Electricity, gas and water supply (EGW)” at 655.61 Mt and 648.74 Mt had the highest total and forward linkages. “manufacturing and recycling” at 231.48 Mt had the highest backward linkage. High carbon-intensive blocks of “EGW” plus “mining and quarrying” were net emitters, while others were net absorbers. “Fuel and chemicals” at 0.08 Mt had almost neutral status. Hard coal was the main source of direct and indirect emissions.

Net emitting and key net forward blocks should reduce direct emission intensities. India should use its huge geographical potential for industrial accessibility to cheaper alternative energy. This alongside with technology/process improvements catalyzed by policy tools can help in mitigation efforts. Next, key net-backward blocks such as construction through intermediate purchases significantly stimulate emissions from other blocks. Tailored mitigation policies are needed in this regard.

By developing an understanding of India’s industrial carbon links, this study can guide policymakers. In addition, the paper lays out the framework for estimating energy and non-energy-based industrial carbon links.

The purpose of this paper is to investigate regional impact of macroeconomic and regional policy impulses, using our newly developed multi-regional computable general equilibrium (CGE) model for three, structurally distinctive Polish macro-regions.

In this study, we build an interregional social accounting matrix for Poland and use it to develop a small scale, three-region CGE model, reflecting the size of regional economies and cross-regional differences in industrial structures, while also explicitly accounting for the dynamics of main economic relationships across regions, such as interregional flows in commodities, labor and capital. The model is subsequently use to simulate regional effects of various policy impulses.

We demonstrate important cross-regional differences in the transmission mechanism of macro-level policies, which either affect regional output and its individual components (as in the case of imposing shocks to VAT or PIT rates) or are limited to the components, while preserving a rather uniform impact on output (as in the case of imposing shocks to wages). Furthermore, we contribute to the regional policy equity-efficiency trade-off debate, by illustrating quantitatively how, due to structural differences, spatially targeted expenditure measures might promote either regional convergence or aggregate output growth at the country-level.

Prior to our study, regional CGE models have not been used to simulate spatial distribution of aggregate shocks in Poland or in any other CEE country. Another originality of our study lies in comprehensive evaluation of various policy impulses, from the perspective of their impact on the respective region, spillovers to the other regions and its overall, country-level effect.

The purpose of this paper is twofold. First, it wants to elaborate on the relationship between tourist generating areas and destinations per se, the principal objective being to make us better grasp the consequences for a tourist destination inherent in its relative positioning within the geographic confines of the travel hierarchy at large. Second, having identified the various types of destinations (through this spatial hierarchal schema), we will look at a case study — the tourist frontier of New Quebec — a wilderness destination environment with the purpose of arriving at a more accurate account of how such a destination has developed, how its present tourist services function, and how they link up with the region. More particularly, we want to look into the very much debated relationship commercial tourist operations — regional resource utilization — economic linkages between a few isolated, small settlements in an otherwise practically uninhabited and fairly inhospitable tourist region.

Informed by the literature on regional security and fragile states, ‘new regionalisms’, and natural resources and violent conflict, this essay investigates the challenges of state-building in West Africa. These range from the influence of diasporas and subregional strongmen to flows of small arms and light weapons (SALWs) and lootable natural resources. The analytical framework that links patron–client networks and lootable natural resources is applied to the cases of Sierra Leone and Côte d’Ivoire. In recent years, strategies by African leaders to co-opt subregional strongmen as part of patronage networks have failed. The essay finds that an ossified state presence and the erosion of a leader's influence enables subregional strongmen to gain control over valuable natural resources, such as diamonds. The essay then assesses the impact of the Kimberley Process Certification Scheme (KPCS) on state-building, concluding that although international regimes like the KPCS can increase state capacity and thereby counter the deleterious effects of state failure, they are not sufficient state-building tools. Hence, the KPCS must be supplemented through a combination of more explicit state-building initiatives under the auspices of bilateral government donors, aid agencies, diasporas and transnational and local NGOs.

The present status of library automation in Australia is outlined. It provides background for an exploration of issues arising when local network operations consider their relationship to the national Australian Bibliographic Network. Some specific aspects of linking that concern regional networks such as CLANN and CAVAL are considered, with particular reference to provision of service, standards, network technology, contractual framework, economics and governance.

An important but often overlooked obstacle in multivariate discrete data models is the specification of endogenous covariates. Endogeneity can be modeled as latent or observed, representing competing hypotheses about the outcomes being considered. However, little attention has been applied to deciphering which specification is best supported by the data. This paper highlights the use of existing Bayesian model comparison techniques to investigate the proper specification for endogenous covariates and to understand the nature of endogeneity. Consideration of both observed and latent modeling approaches is emphasized in two empirical applications. The first application examines linkages for banking contagion and the second application evaluates the impact of education on socioeconomic outcomes.

Effective policy to support business ecosystems should build on evidence-based analyses of firm-level activities and outcomes. This paper aims to contribute to this requirement and makes three contributions. The first contribution is to extend the application of the network capital concept to a variety of eight distinct linkage categories (e.g. suppliers, customers and business support agencies) that support networking and clustering, in both activity and impact terms. The second contribution is outlining a novel method of network visualisation (V-LINC) based on the collection of primary and qualitative data. The third contribution is in applying the method to one cluster, information and communications technologies.

Qualitative research on the nature and extent of organisational network linkages was undertaken. Structured interviews with a set of focal firms followed a tailored design approach. The concept of network capital was extended and applied to the cluster context by measuring network inputs and output (i.e. investments and impact). The approach was operationalised via a novel impact measurement approach, denoted as V-LINC, an acronym for visualising linkages in networks and clusters.

The authors develop a business impact framework exploiting novel linkage visualisations and qualitative data from firms in a cluster in one city region across eight linkage types to capture distinct network capital elements. Organisational inputs into network development, measured as investment and involvement indicators and organisational outcomes from those networks, measured as importance and intensity indicators, are used to assess network performance. A comprehensive, systematic and robust analysis of network elements and performance is possible. Distance is found to interact differently across linkage types. Targeted recommendations may be made from the analysis of local or regional business ecosystems in light of measured business impacts of linkages.

Due to the resource-intensive nature of data collection, the current study engages a limited sample of firms and interviewees. Applications of this approach in other contexts will permit further research into its usefulness in evaluating business impacts generated through networking activities.

The method introduced here (V-LINC) offers a novel means to include both geography network theory into an understanding of knowledge relationships and networks within clusters. Accounting for both distance and linkage type reveals which categories of intra-regional and extra-regional linkages generate the greatest impact, given their frequency. The approach adds to available cluster visualisation and analysis approaches through identifying patterns of disaggregated knowledge flows and their impacts, with application to evaluation demands of policy.

Various forms of regional cooperation in East Asia have greatly increased in the past two decades. Scientific collaboration is beneficial for both scientifically lagging countries (SLCs) and scientifically advanced countries (SACs) with respect to their S&T capacity and thus economic prosperity. This paper aims to provide a comprehensive description of intra‐regional scientific collaboration in East Asia from 1985 to 2008 with the 10+3 (ASEAN ten plus China, Japan and South Korea) framework.

The paper uses co‐authored articles embodied by Science Citation Index Expanded (SCI‐Expanded) to indicate cross‐border scientific collaboration.

Data show that heterogeneity in the publication output across East Asian countries is decreasing. Intra‐ASEAN, intra‐ Northeast Asia, as well as ASEAN and Northeast Asia scientific collaboration greatly improved since 1997.

This paper discusses factors influencing international scientific collaboration and focuses on explaining the impact of regional integration. Finally, it offers further suggestions on East Asian integration from the perspective of scientific collaboration.

The Greater Mekong Sub-region (GMS) is noted as an investment destination recently. However, there are few surveys about this region. In particular, direction of the regional disparity and economic linkage cannot be found, although it is inevitable to formulate economic or business policies. The paper aims to discuss these issues.

First, the author calculated the regional GINI coefficient of the GMS, converting the per capita GDP using the purchasing power parity. Then, the trend of intra-regional trade was calculated by using the data of Direction of Trade Statistics of IMF. In addition to that, to consider the trade structures, bilateral trades of Thailand with Vietnam, Laos and Myanmar were analyzed.

This paper made clear that the regional disparity of the GMS has been gradually shrinking from serious level to moderate in recent years, although it is still larger than the disparity of ASEAN original members. Two Chinese districts and Vietnam played an important role to improve the disparity. As for the intra-regional trade, it used to be very poor in the early 1990s, but is increasing in these years. There may be some signs of starting of the intra-industrial trade between Thailand and Vietnam, although trades with lower developed countries such as Laos and Myanmar are led by natural resources-related products.

This paper is the first survey to calculate the regional disparity of the GMS with time series data. The analysis of the intra-trade among the GMS members expresses the current situation of the economic linkage of this area.