How to Measure Flamenco Performer Value? A Cultural Economic Approach

This article designs an empirical methodology to measure the perceived value of the performers, specifically using the significant example of flamenco performer. The methodology is based on an Ordered Logit Model whose dependent variable is the valuation of the flamenco performer by spectators, which complements the research carried out by Heredia-Carroza (2019). The results show that virtuosity, feelings, Roma origin of the performer are significant and they have a positive effect in the valuation of it. Also, spectator’s features as time consuming and number of albums acquired have a positive effect in the performer valuation. Finally, the results have a greater importance as they provide recording companies, an instrument that reduces uncertainty about the characteristics of the performer and it can also be used as a decision-making instrument for future signings of performers in record companies based on the spectators’ perceptions. This methodology could be replicated for the study of other musical genres.

Club convergence and drivers of house prices across Turkish cities

PurposeThis paper aims to examine the convergence pattern of residential house prices in a panel of 55 major cities in Turkey over the period between 2010 and 2018 and to investigate the determinants of convergence club formations.Design/methodology/approachThe authors applied the log t-test to identify the convergence clubs and estimated ordered logit model to determine the key drivers.FindingsThe results suggest that there are five convergence clubs and confirm the heterogeneity of the Turkish housing market. Istanbul, the commercial capital, and Mugla, an attractive tourist destination, are at the top of the housing market and followed by the cities located in the western part, particularly along the Aegean and Mediterranean coasts of Turkey. Moreover, the ordered logit model results point out that the differences in employment rate, climate, population density and having a metropolitan municipality play a significant role in determining convergence club membership.Practical implicationsLarge-scale policy measures aiming to increase employment opportunities in rural cities of central and eastern provinces and providing lower land prices and property taxes in the metropolitan cities of Turkey can help mitigate some of the divergence in the house prices across cities.Originality/valueThe novelty of this study lies in employing a new data set at the city level containing 55 cities in Turkey, which is by far the largest in terms of city coverage among emerging market economies to implement the log t-test. It also contributes to the literature on city-specific determinants of convergence club formation in the case of an emerging economy.

Bus Crash Severity in Hanoi, Vietnam

Recently, there has been an increasing interest in targeting the safety of bus operations worldwide; however, little is known about the determinants of the bus crash severity in developing countries. By estimating an ordered logit model using the bus-involved collision data in Hanoi (Vietnam), spanning the period from 2015 to 2019, this study investigates various factors associated with the crash severity. The results reveal that the severity risk increases for (1) large buses, (2) raining conditions, (3) evening or night, (4) sparse traffic, (5) non-urban areas, (6) roads with at least three lanes, (7) curved roads, (8) two-way roads without a physical barrier, (9) head-on collision, and (10) pedestrian-related crashes. Aside from confirming the crucial roles of a wide range of factors, this research has examined the effects of two determinants (traffic density and crash area) that have not been considered for the cases of developing countries previously. Based on the findings on the impacts of factors, a series of policy recommendations regarding improving road conditions in non-urban areas, promoting walking infrastructure, reminders of high-risk situations for drivers, safety notes when improving bus service quality, and recording bus-related crashes are proposed.

Consumers’ Willingness to Pay (WTP) for Organically Farmed Fish in Bangladesh

This study aims to assess the market potential for organically farmed shrimp. The rank-ordered logit model was employed to investigate consumer perceptions; the findings reveal that consumers prefer organic shrimp from mariculture, and inland-farmed shrimp to the coastal version. The willingness to pay (WTP) for conventional shrimp amongst consumers with low knowledge is less than that for organic shrimp amongst highly knowledgeable ones. In addition, the lower WTP for organic shrimp compared with safe shrimp amongst those with a medium knowledge level shows that the organically farmed shrimp market is lagging behind due to limited knowledge and confusion.

Post-pandemic dark tourism in former epicenters

As one of the first studies to explore the joint consumption of both leisure and pandemic-related tourism products in former pandemic epicenters, this research expands the scope of dark tourism to include former pandemic epicenters. The motivational determinants of intention to visit leisure and pandemic-related sites are empirically identified using an ordered logit model. This is the first study which formally proposes patriotism as a new push motive in stimulating people to visit post-disaster destinations. The identified segmentations of tourists with different levels of push–pull motives and socio-demographic features provide key stakeholders and practitioners in former epicenters with a systematic recovery plan in the post-pandemic era.

Permintaan Wisata Kelompok Pemuda ke Kota Bandung

This paper presents the results of research on tourist demands to the city of Bandung. The research objective is to study the demand function of tourists in the city of Bandung. Looking at the qualitative nature of tourism demand, this study examines it through the ordered logit model. Data obtained mainly from tourists visiting the city of Bandung. The estimation model repeatedly shows five factors that explain tourism demand, namely income, travel distance, leisure time owned by tourists, vehicles used to visit the city of Bandung, and the level of congestion in the city of Bandung. The biggest model coefficient is the comfort variable. Increasing leisure time one day will increase the chances of frequent categories of visits to the city of Bandung, 24,278 times greater than other categories. Klasifikasi JEL : Q21, Z23, C19 Abstrak. Makalah ini menyajikan hasil penelitian skripsi tentang permintaan wisatawan ke Kota Bandung. Tujuan penelitiannya adalah untuk mempelajari fungsi permintaan wisatawan di Kota Bandung. Melihat sifat kualitatif dari permintaan pariwisata, penelitian ini mengkajinya melalui model logit yang dipesan. Data diperoleh terutama dari wisatawan yang mengunjungi Kota Bandung. Model hasil estimasi berulang kali menunjukkan lima faktor yang menjelaskan permintaan pariwisata, yaitu pendapatan, jarak perjalanan wisata, waktu luang yang dimiliki oleh wisatawan, kendaraan yang digunakan untuk mengunjungi Kota Bandung, dan tingkat kemacetan di Kota Bandung. Koefisien model terbesar adalah variabel waktu luang. Menambah waktu luang suatu hari, akan memperbesar peluang kategori sering berkunjung ke Kota Bandung, 24.278 kali lebih besar dari kategori lainnya. Klasifikasi JEL : Q21, Z23, C19

Concerned or not? Investigating determinants of climate change concerns among Saudi Arabian farmers and their adaptation behavior

Concern for a particular stimulus constitutes a major driver to mitigate its negative effects. This study was undertaken to know the level of concern for climate change among Saudi farmers in Jazan province and to evaluate the role of various socioeconomic indicators in relation to their concern level. Moreover, an account of farmers’ beliefs about climate change and capacity building initiatives needed to address this issue at the community level is also presented. Field level data collected through a face-to-face survey using a structured questionnaire were utilized to draw insights. The ordered logit model was used to find out the determinants for the level of concern for climate change among respondent farmers regarding three top concern categories. Farmers ranked insect infestation, higher incidence of crop diseases, and drought as the first, second and third, respectively, as top climate change concerns in the study area. Results of the ordered logit model showed that higher farmer income significantly reduces their level of concern for the first two categories of concern while it has a positive influence on concern for drought. Access to credit and information has a mixed impact on the farmers’ concern level. Farmer’s age, education, perceived source of climate change, and perceived changes in temperature and rainfall have a mixed impact on the top three climate change-related concerns. The findings support the provision of timely warning, capacity building of the farmers and personnel, credit provision, improvement of rural infrastructure, and creating awareness among farmers to address particular climate change-related concerns.

Disparities in the Evolution of the COVID-19 Pandemic between Spanish Provinces

Spain experienced a second wave of the COVID-19 pandemic in autumn 2020, which has been approached with different measures by regional authorities. We analyze the presence of convergence in the cumulative incidence for 14 days (CI14) in provinces and self-governing cities. The Phillips–Sul methodology was used to study the grouping of behavior between provinces, and an ordered logit model was estimated to understand the forces that drive creating the different convergence clubs. We reject the presence of a single pattern of behavior in the evolution of the CI14 across territories. Four statistically different convergence clubs and an additional province (Madrid) with divergent behavior are observed. Provinces with developed agricultural and industrial economic sectors, high mobility, and a high proportion of Central and South American immigrants had the highest level of CI14. We show that the transmission of the virus is not homogeneous in the Spanish national territory. Our results are helpful for identifying differences in determinants that could explain the pandemic’s evolution and for formulating hypotheses about the effectiveness of implemented measures.

A Case of Negative Externality: Use of Pesticide and Its Impact on Health Among Farmers in Salumbhu Village, Nepal

The widespread and uncontrolled use of harmful pesticide to facilitate mass-level agricultural production creates negative externalities ranging from environmental degradation to having adverse health implications to the users. This article explores a primary village-level data of farmers in the Salumbhu village of Nepal to investigate the health effects associated with pesticide use. A total of six health symptoms grouped into two categories such as serious health-related issues and irritants are analysed separately using ordered logit model. For the robustness of the results, Poisson and negative binomial models are also used. We found that farmers as compared to the non-farmers are significantly more prone to facing serious health issues. Furthermore, as farmers are the applicators of pesticide, the odds of them facing all the health symptoms increases significantly. The results are uniform across different measures of health and over multiple models, which advocates the need of appropiate regulations in the usage of pesticide in Nepal.