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The authors report a study of heritage conservation linked to rural small-town regeneration in Aotearoa New Zealand. The purpose of this study is to answer the question: how, with limited local resources, do the residents and administrators of small settlements conserve historic heritage in the processes of rural regeneration?

This research is based on an analysis of physical heritage objects (buildings, artefacts and landscapes), associated regulatory arrangements, archival material, news media reporting, community group newsletters and photography. The authors use the river-side town of Rakaia and its environs in Te Waipounamu/the South Island of Aotearoa New Zealand to answer the research question.

This research found that in a context of limited resources, volunteers, supported by small businesses and local and central government, can contribute positively to the conservation and interpretation of heritage as part of wider rural regeneration activities.

There is only limited writing on the links between heritage conservation, rural regeneration and the development of small towns. To advance the debate, the authors combine ideas about community-led heritage conservation and management with concepts drawn from rural studies, particularly the multifunctional rural space paradigm. This allows us to explore heritage conservation in a context of rapid rural change.

The growth of China’s economy during the 1990s has both shaped and reflected changes in the span and function of the country’s shipping connections both within Asia and with the rest of the world. Although sea-land developments within China have been studied, less attention has been paid to the wider global implications stemming from the transformation of the country’s maritime geography during a decade of further market reforms and greater integration into the world economy. Consequently, there is a need to comprehend how China’s state-owned shipping industry has been reorganized during the 1990s to meet the new requirements, with special reference to the country’s liner shipping connections between and within Asia respectively. More purposely, these topics are addressed by examining changes in the organization, approach and set of connections of the state-owned China Ocean Shipping (Group) Company (Cosco) and its post-1993 offshoot COSCO Container Lines Company Ltd (Coscon). This review provides a springboard for a detailed analysis of shifts in both extra- and intra-Asian shipping patterns between 1990 and 2000 and consideration of their strategic implications. Finally, short-sea shipping is defined and the phenomenon’s operational strengths and weaknesses discussed.

Toyota's internationally coordinated production system in Asia and its selection of supply bases in South America and South Africa highlights the significance of recognizing global network firms and the global hub-and-spoke logistics system that has been developed to meet their needs. This system underpins the expansion of container shipping, air freight and telecommunications. Recognition of Main Street, linking Europe, Asia and North America with cui-desacs in Africa, Australasia and Central and South America, provides a framework for examining the relative importance of the system's hubs and terminals across different modes and regions. This analysis provides the basis for identifying and ranking key regional logistics platforms in Northeast Asia and their attraction as headquarter sites for global network firms. Examining the logistical situation pertaining after the end of the Cold War in the early 1990s and a decade later is used to gauge progress towards regional economic integration in Northeast Asia.

Benford's Law is an empirical observation about the frequency of digits in a variety of naturally occurring data sets. Auditors and forensic scientists have used Benford's Law to detect erroneous data in accounting and legal usage. One well-known limitation is that Benford's Law fails when data have clear minimum and maximum values. Many kinds of education data, including assessment scores, typically include hard maximums and therefore do not meet the parametric assumptions of Benford's Law. This paper implements a transformation procedure which allows for assessment data to be compared to Benford's Law. As a case study, a data quality assessment of oral language scores from the Early Childhood Longitudinal Study, Kindergarten (ECLS-K) study is used and higher risk data segments detected. The same method could be used to evaluate other concerns, such as test fraud, or other bounded datasets.

An examination is made of developments in port dynamics since 1965. Initially, this task is addressed by studying changes in past port patterns using a simple descriptive model to accommodate shifts induced by containerization. Over time these changes have led to the reversal of the concentration and centralization of port activities. Then consideration is given to the behavior of stakeholders active in the contemporary port scene by elaborating a bipolar global-local analytical framework through an invocation of the hybrid concepts of glocalization and loglobalization. This analysis leads to an examination of emerging economies to gauge future trends in port dynamics following the dramatic emergence of China. Finally, there is a discussion of the need to go beyond inter-port competition to comprehend global production-distribution networks by exploring synergies between the supply chain and the total transport network to bring out parallels in the hub-and-spoke structure not only underpinning maritime activities but also air transport and telecommunications.

The study aims to propose an instrument for measuring product-centeredness (i.e. the extent to which comment content is related to a product) using word embedding techniques as well as explore its determinants.

The study collected branded posts from 205 Instagram influencers and empirically examined how four factors (i.e. authenticity, vividness, coolness and influencer–product congruence) influence the content of the comments on branded posts.

Post authenticity and congruence are shown to have positive effects on product-centeredness. The interaction between coolness and authenticity is also significant. The number of comments or likes on branded posts is not correlated with product-centeredness.

In social media influencer marketing, volume-based metrics such as the numbers of likes and comments have been researched and applied extensively. However, content-based metrics are urgently needed, as fans may ignore brands and focus on influencers. The proposed instrument for assessing comment content enables marketers to construct content-based metrics. Additionally, the authors' findings enhance the understanding of social media users' engagement behaviors.

As the contradiction between economic development, resource and environment has become increasingly prominent, low-carbon competitiveness has received worldwide focus. This study aims to examine low-carbon competitiveness in 31 provinces (cities and regions) of China.

An evaluation index system for low-carbon competitiveness in China has been constructed, which is composed of 25 economic, social, environmental and policy indicators. To study the state of low-carbon competitiveness and resistance to China’ development of low-carbon competitiveness, this study uses a combination of the catastrophe progression model, the spatial autocorrelation model and the barrier method.

China’ low-carbon competitiveness gradually decreases from coastal to inland areas: the Tibet and Ningxia Hui autonomous regions are the least competitive regions, while the Shandong and Jiangsu provinces are the most competitive areas. The spatial correlation of the 31 provinces’ low-carbon competitiveness is very low and lacks regional cooperation. This study finds that the proportion of a region’ wetland area, the proportion of tertiary industries represented in its GDP and afforestation areas are the main factors in the development of low-carbon competitiveness. China should become the leader of carbon competitiveness by playing the leading role in the Eastern Region, optimizing the industrial structure, improving government supervision and strengthening environmental protection.

The paper provides a quantitative reference for evaluating China’ low-carbon competitiveness, which is beneficial for environmental policymaking. In addition, the evaluation and analysis methods offer relevant implications for developing countries.

New economic geography theorists, who have revived the importance of local roots and highlighted the significance of cities as a source of international competitiveness, have spurred the global marketing of Incheon. An examination of the new economic geography literature examines the nature of the new localism based on clusters, involving spatial proximity and concentrated face-to-face transaction, agglomeration economies and local knowledge networks. The territorial expression of these ideas is evident in competitive cities and knowledge cities. Both types of cities are embodied in civic attempts to market Incheon as an international city through the development of the international harbor and international airport and a knowledge city at Songdo. As there is no reference to Incheon in the place marketing literature there is a need to market it as Seoul-Incheon and itemize the Capital Region 's key assets and strategic advantages, including logistics and Pentaport - five ports in one - to build a presentation that attracts foreign direct investment and foreign expertise and provokes an energizing debate on the Korean Government's plan to position the country as the hub for international commerce in Northeast Asia. Critics of this place marketing approach designed to make Incheo'} a prosperously middle-class city suggest more evidence is needed before it can be assumed firms locate in cities as a base for export activities to boost their competitiveness. Perhaps there is need to give up the preoccupation with the local focus in cluster analysis and give equal attention to global connections.

This study aims to perform a benefit segmentation and then a classification of visitors that travel to the Rocha Department in Uruguay from the capital city of Montevideo during the summer months.

A convenience sample was obtained with an online survey. A total of 290 cases were usable for subsequent data analysis. The following statistical techniques were used: hierarchical cluster analysis, K-means cluster analysis, machine learning, support vector machines, random forest and logistic regression.

Visitors that travel to the Rocha Department from Montevideo can be classified into four distinct clusters. Clusters are labelled as “entertainment seekers”, “Rocha followers”, “relax and activities seekers” and “active tourists”. The support vector machine model achieved the best classification results.

Implications for destination marketers who cater to young visitors are discussed. Destination marketers should determine an optimal level of resource allocation and destination management activities that compare both present costs and discounted potential future income of the different target markets. Surveying non-residents was not possible. Future work should sample tourists from abroad.

The combination of market segmentation of Rocha Department’s visitors from the city of Montevideo and classification of sampled individuals training various machine learning classifiers would allow Rocha’s destination marketers determine the belonging of an unsampled individual into one of the already obtained four clusters, enhancing marketing promotion for targeted offers.

The purpose of this paper is to develop an effective process to market high-rise luxury condominiums in a middle-income country in Asia like Sri Lanka, based on empirical evidence.

The case research methodology used to address the four research issues used multiple sources of data. In stage 1, qualitative data were collected in interviews with managers and salespersons of six condominium developments that ranged from successful to failure. In stage 2, quantitative data were collected in a survey of the buyers of the six cases.

The authors contributions to knowledge include the first evidence-based findings about what influences the success and failure of high-rise luxury condominium developments in a country like Sri Lanka. In addition, a comprehensive marketing model of an effective marketing process is developed for forward-thinking professionals in the field to use to successfully market their luxury high-rise condominiums projects in the future.

Detailed steps for successful marketing are outlined, from the Board of Management down to salespersons.

This is the first academic research paper to examine the effective marketing of high-rise luxury condominiums in a middle-income country like Sri Lanka.