The Response of Creative Class Members to Regions Vying to Attract Them With Subsidies

There are no theoretical studies in regional science that examine which region to locate in from the standpoint of a creative class member, given that the pertinent regional authorities (RAs) are competing among themselves to attract the creative class using subsidies. This gap provides the motivation for our paper. This paper’s contribution is that it is the first to theoretically study the regional location choice of creative class members when the RAs of the locations in which they might locate are using subsidies to attract them. Specifically, a knowledge good producing creative class member must decide which of two regions ( A or B) to locate his plant in. This good is produced using a Cobb–Douglas function with creative and physical capital. We analyze plant location in four cases. In the benchmark case, we show that the representative creative class member ought to locate his plant in the less expensive region B. Next, we show that a small subsidy to creative capital by region A switches the plant location decision from region B to A. Finally, when both regions grant identical subsidies to creative capital, the representative creative class member is indifferent between locating in regions A and B. So, for identical subsidies to affect the plant location decision, they are better targeted to physical and not to creative capital. JEL Codes: R11, R58

Analisis Hybrid DSS untuk Menentukan Lokasi Wisata Terbaik

Tourism is an activity carried out by humans to a place alone or together to have fun to get rid of the burden of thoughts that were previously acquired. The Mandeh area is a leading tourist area in West Sumatra which has 10 alternative tourist attractions. With the many tourist locations in the area, tourists are confused about what places to visit in the Mande area. In this study, a combined analysis or Hybrid Decision Support System (DSS) was carried out using a combination of the Analytical Hierarchy Process (AHP) method with the Simple Additive Weighting (SAW) method. The purpose of this research is to be able to combine AHP and SAW methods in one DSS analysis and then be able to recommend the decision results to tourists in the form of the best tourist locations in the Mandeh area. With the recommendation, it can increase the interest of tourists to come and increase the opinions of tourist location owners and the surrounding community. The result of this research is to obtain a recommendation for the best tourist location decision in the Mande area of ​​West Sumatra, namely the location of Manjunto Beach with the highest value of 0.895.

Incremental planning of the location of public health facilities in a rural region

Some people in rural areas are often excluded from using health facilities in developing nations due to political interference in facility location decision-making. Limited attention has been paid in the literature to promoting inclusiveness in public facilities usage in developing nations. Therefore, this study was designed to examine the access to Primary Health Centres (PHCs) in the Yewa region, Nigeria. Data on the 509 settlements and 91 PHCs in the Yewa region were obtained from government directories. The p-median Location-Allocation model was used for data analyses. The study showed that the number of PHCs increased and access to them improved in the Yewa region between 1991 and 2019. It was also shown that inclusiveness in facilities could be promoted by optimally adding new PHCs. The study assessed the effectiveness of past locational decisions, similar to other studies in Bangladesh and India, and revealed that the military administration performed better than the civilian administration in facility location decision-making between 1991 and 2019. The study showed how new facilities could be optimally located to improve access and inclusiveness in public usage.

Hierarchical Healthcare Facility Location at the Subdistrict Level in Western Uttar Pradesh: A Heuristic Approach

The Governments across the world are making continuous efforts to attain health for all. The efforts can gain more efficiency if the new healthcare facilities are created at optimal locations. There are various constraints on healthcare facilities, like cost of setup, coverage distance, service distance, population load, manpower and services offered. These constraints operate in a complex setting giving rise to alternate scenarios. The study proposes replicable heuristics to obtain the optimal locations under alternate scenarios for the Sub Centers (SC), Primary healthcare centers (PHC) and Community healthcare centers (CHC). The study takes the case of a block of villages in most populous state of India using the publicly available data, data from census, government portals and Bing Maps services. The study generates several alternatives scenarios for maximize demand, minimize service distance and minimize total costs for different population covered and service distance. The methodology suggested here might be helpful for the location decision making at the block level by the district administration.