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Real estate valuation studies gained popularity with the availability of large-scale property transaction data in the latter part of the twentieth century. Hedonic price modeling (HPM) was the most popular method in the initial years until it was taken over by advanced modeling methods in the twenty-first century. Even though there exist a few literature reviews on this topic, no comprehensive bibliometric analysis is conducted in this area. In view of gaining a better understanding of the dynamics of property valuation studies, this paper aims to conduct a bibliometric analysis.

A comprehensive search in the Scopus database, followed by detailed screening resulted in 1,400 articles. The identified research articles spanning over five decades (1964–2019) are analyzed using the open-source R package “bibliometrix.”

The study found the USA to be the most productive country in various aspects, such as number of publications, number of authors and publication hotspots. The findings also demonstrate assessments on the publication trends, journals, citations, keywords, co-citation and collaboration networks. It was observed that there exists an upsurge in the number of publications after the year 2000 owing to improved data availability and better modeling techniques.

This study is significant in understanding the major research areas and modeling techniques used in property valuation. Future studies can incorporate multiple database sources and include more articles.

The current study is one of the first bibliometric studies on property valuation. Previous studies have not explored the possibilities of geographic information system in bibliometric research. Spatial mapping and analysis of publications provide a geographical perspective of valuation research.

Property tax continues to be the most viable, steady, progressive and genuine source of income for an independent local government administration in India. Kerala has one of the most complex cadastral and property taxation systems in the country. In 2008, the Kerala government introduced “Fair value of land” for all landed property in Kerala, which is calculated per Are and notified by the Government of Kerala on the website. This paper presents the outcome of the spatial mapping of the fair value of land in Kerala and its comparison with actual land value collected through advertisements and surveys.

The methodology used in this study analyzed the existing fair value system of land valuation in Kerala and identified its drawbacks. Fair value is integrated into cadastral data in geographical information system (GIS) and spatially analyzed to identify the discrepancies in fair value fixation. The actual land value for 837 locations is collected from online advertisements and verified through a field survey. A paired t-test analysis follows this to compare the fair value and actual land value of the study area.

The disparity between the original land value and the registration value in Kerala has resulted in the undervaluation of land resources by the government. The fair value fixed by the government is significantly lower than the actual land value based on the statistical comparison results. It is observed that the actual land value is multiple times higher than the government fixed land value. Also, the spatial distribution of the village level fair value shows the randomness in fixation and abnormalities existing at numerous locations.

The results indicate that the traditional comparison method used for fair value calculation by the Kerala government is not suitable in Indian scenarios due to the unreliability of registration values. The study thus points to the importance of developing a scientific method for determining the land value that would consider various spatially influencing parameters.

The current study provided an in-depth analysis of the land valuation system of the Kerala government. The strengths and weaknesses of the existing system are analyzed through statistical methods.

Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive assessment of the determinants affecting land value in the Indian city of Thiruvananthapuram in the state of Kerala.

The global influence of the identified 20 explanatory variables on land value is measured using the traditional hedonic price modeling approach. The localized spatial variations of the influencing parameters are examined using the non-parametric regression method, geographically weighted regression. This study used advertised land value prices collected from Web sources and screened through field surveys.

Global regression results indicate that access to transportation facilities, commercial establishments, crime sources, wetland classification and disaster history has the strongest influence on land value in the study area. Local regression results demonstrate that the factors influencing land value are not stationary in the study area. Most variables have a different influence in Kazhakootam and the residential areas than in the central business district region.

This study confirms findings from previous studies and provides additional evidence in the spatial dynamics of land value creation. It is to be noted that advanced modeling approaches used in the research have not received much attention in Indian property valuation studies. The outcomes of this study have important implications for the property value fixation of urban Kerala. The regional variation of land value within an urban agglomeration shows the need for a localized method for land value calculation.

Low glycemic index gluten-free cookies from high amylose rice flour were prepared by modifying baking conditions and ingredient composition.

Baking temperature, baking time, and concentration of carboxymethyl cellulose (CMC) were varied between 170 and 190° C, 12–25 min, and 0.2–1%, respectively, using central composite rotatable design. The developed cookies were packed in metalized polyester pouches and stored under ambient conditions for a period of 90 days.

Width and bulk density of cookies increased significantly (p < 0.05) with an increase in baking temperature, while thickness, baking loss and yield decreased with an increase in baking temperature. Puffiness increased predominantly with the increase in the concentration of CMC. Design expert predicted baking temperature of 185° C, baking time of 22 min, and 0.8% concentration of CMC as desirable conditions for the development of gluten-free cookies from rice flour. Cookies developed after following optimized conditions recorded dietary fiber of 4.66%, resistant starch (RS) content of 7.20% and predicted glycemic index (pGI) of 44.60. RS, pGI, moisture, water activity, free fatty acids and peroxide value increased significantly, whereas hardness and overall acceptability decreased during storage.

Gluten-free (GF) foods are in high demand globally due to the prevalence of celiac disease. Rice lacks gluten protein, and thus, can serve as a potential raw material for the development of GF cookies. In the present study, the ingredient modification and freezing interventions during baking were found to be crucial if the development of low GI gluten-free cookies having good RS content is targeted. Optimized GF cookies prepared via technological intervention and packed in metalized polyester were shelf stable for up to 3 months under ambient conditions. Furthermore, resistant starch content was enhanced while the predicted glycemic index was decreased during storage. Adoption of baking conditions and CMC level optimized in the present study can help to develop shelf-stable GF bakery products for people suffering from comorbidities like celiac disease and diabetes.

Resistant starch content was enhanced while predicted glycemic index was decreased during storage of gluten-free cookies prepared from high amylose rice flour. The developed cookies can be a complementary diet to people suffering from comorbidities like celiac disease and diabetes.

The purpose of this paper is to see whether it is possible to learn any lessons from the application of simulation and modeling in the defense sector to be applied in the healthcare sector.

Two comprehensive reviews are conducted within two domains of “Military & Aerospace” and “Healthcare”. A general search framework with common features is developed, while allowing rooms for customization for each domain. A common objective is set to cover a wide scope of simulation methods and application areas. Further, reviews are not restricted to a limited number of journals or conferences; rather the relevant databases are searched while using some filtering mechanisms.

It is found that simulation has been commonly used in the defense sector(s). However, inconsistency in terms of the level of implementation in both the sectors is quite vivid. There is clear evidence that healthcare lags behind other sector(s), particularly in terms of stakeholder engagement and, consequently, in terms of implementation of simulation outcomes.

Owing to confidential nature of the defense sector, grey literature (which in this case is likely to include a considerable corpus of classified material) has not yet been reviewed. The paper speculates on the impact this has on the appreciation of the uptake of modelling and simulation in this sector and could form part of future research.

This paper provides key insights into some challenges of applying simulation methods in healthcare, whilst presenting an up‐to‐date overall picture of simulation in two main sectors from an academic point of view.

To assess South Africa’s (SA’s) citrus export competitiveness in the global market and identify its macroeconomic drivers.

The Normalized Revealed Comparative Advantage (NRCA) index is employed to measure export competitiveness. An ARDL-EC model is then estimated to identify the macroeconomic determinants of SA’s citrus export competitiveness.

SA’s citrus export competitiveness declined before the mid-1990s and rose thereafter. On balance, the country improved from the fourth to the second most competitive citrus exporter. A long-run relationship was established between the NRCA scores and the real exchange rate and real GDP per capita growth rate. The export price exerted a positive short-run influence on citrus export competitiveness. The rise in SA’s citrus export competitiveness since the mid-1990s was mainly driven by the rising citrus export price and real exchange rate depreciation.

Future research could explore the determinants of SA’s export competitiveness using panel gravity models of bilateral trade flows to isolate the impact of macroeconomic variables and trade restricting/enhancing policies of importing countries.

The article employs the NRCA index, which can measure comparative advantage across space and over time. It is the first to econometrically estimate the macroeconomic determinants of citrus export competitiveness in SA. Application of the ARDL-EC framework yields both short- and long-run effects of macroeconomic variables on export competitiveness.

This chapter examines the limitations of the Western world view in Australia and its influence on the built environment. The dominant narrative of colonialism has disregarded alternative ways of being in the world, resulting in a lack of inclusivity for First Nations peoples. To address this issue, there is potential in embracing an alternative world view through design thinking and co-design to develop more culturally and environmentally suitable places through holistic ways of understanding the world to influence future design strategies for knowledge dissemination. This chapter’s contribution is in promoting an alternative perspective that can challenge the dominant world view and create more inclusive and culturally sensitive spaces that reflect the diversity of the community. This is particularly relevant in the current political climate, where there is a growing advocacy for change and a motivation to look to other cultural perspectives, such as those of First Nations peoples. It calls for a paradigm shift in how we think about and synthesise architecture in Australia. This chapter advocates for the acceptance and engagement with First Nations peoples’ world views, particularly in the fields of architecture, design and places that focus on cultural records.

The purpose of this paper is to analyse the research performance of Pakistani library and information science (LIS) scholars, using the altmetrics provided by ResearchGate (RG).

Purposive sampling was used to collect profiles between 15 January 2015 and 30 April 2016 of all members of RG who had self-identified as being an LIS scholar of Pakistani nationality. Additional demographic data were obtained through a small survey administered via Google Docs. Resultant data were analysed in SPSS Version 21.

Study results were broadly consistent in terms of demographical data with previous studies of this cohort. There was a positive correlation between publications, reads, and citations for scholars who had recorded at least one publication. The majority of publications had not been published in a high impact factor journal. Academic networking site profiles create the potential for collaboration, building connections, and exchanging information.

Some scholars eliminated from this study may have published at least one output but neglected to upload details to RG. It is a purposive, exploratory study that provides insights into future research.

The paper produces findings of relevance to researchers in other countries and/or disciplines who may wish to conduct a similar study of a defined cohort.

There have been no previous published research studies on altmetrics associated with Pakistani LIS scholars.

Green finance aims to promote sustainable financial activities, environmental conservation and ecological balance. This study examines how renewable energy consumption (REN), technological innovation (TEC) and green finance (GRF) influence CO2 emissions in Vietnam from 2000 to 2022.

We utilize a novel three-stage methodology including quantile-on-quantile regression, wavelet coherence and wavelet-quantile regression to explore the relationship in the structure of intercorrelation in terms of quantile, time and frequency.

The findings show that Vietnam will increase environmental quality for higher green development. Specifically, there is a negative influence of TEC, REN and GRF on CO2 emissions across different quantiles and timescales.

The study recommends policies that support green development and reduce carbon emissions, such as increasing the use of renewable energy and conducting well-planned research to achieve a carbon-free, sustainable environment.

This article looks into the effects of GRF, TEC and REN on CO2 emissions in Vietnam. Some studies argue that green development in underdeveloped nations is insufficient to reduce CO2 emissions, thereby limiting the sample to a few advanced economies. Adopting diverse methodologies demonstrates the varied and intricate nature of understanding CO2 drivers. Additionally, our work makes detailed policy implications for Vietnam to meet its net-zero emission target and achieve sustainable development by 2050.