Productive vocation - A methodological proposal for the analysis of territorial factors of localization and specialization as drivers of development

An analysis of locational factors in the distribution of primary processing industries of the USSR seeks to determine the relative significance of resource location and nonphysical factors such as labor supply, level of industrial development and availability of transportation. Although it is commonly assumed that primary processing industry tends to be oriented toward resource sites, as much as 43 percent of the output of Soviet primary processing originates outside areas of resource extraction. In examining the pull of resource sites, the analysis distinguishes types of spatial processing complexes that are subject to strong, moderate and slight resource orientation. Measures are then developed for the impact of nonphysical factors. Finally, the 129 major civil divisions of the Soviet Union are grouped in a spatial classification of primary processing industry that combines the varying effects of resource location and the nonphysical factors. It is concluded that favorable resource base and favorable nonphysical factors tend to reinforce each other in determining location, but that favorable nonphysical factors may give rise to large-scale primary processing even in absence of a significant resource base.

<p>Objective<strong> –</strong>to evaluate the etiological significance of local and general factors in the occurrence of delayed union of bone tissue in patients with mandibular fractures. a personalized questionnaire was developed and filled by 74 patients with fragments mobility that persisted 1 month after reposition and fixation of the mandibular fractures for determination the role of local and general factors in the occurrence of delayed union. Thus, local and general factors that most closely correlate with the development of this complication were identified. The obtained data were compared with the results of a retrospective analysis of case histories of patients with mandibular fractures over a five-year period. The presence of a general somatic pathology, head injury and polytrauma, as well as such aggravating factors as alcohol and drug abuse should be considered as the general risk factors for the development of the delayed union of mandibular fractures. Among local factors, inflammation in the area of  mandibular fractures takes the first place, the development of which is provoked by untimely treatment of patients, comminuted fractures, traumatic surgical interventions, etc. Among patients with delayed union of mandibular fractures, 86.5% received antibiotics for more than ten days. The risk group should also include patients with mandibular fractures of a young age (from 18 to 25 years) and those over 45 years. The problem areas for consolidation are mental section (31.1%) and the angle of the jaw (25.7%).</p>

Grand Jimbaran Boutique Hotel and Spa has complete facilities with steady tourist visits in the last three years. This research aim to determine the factors that influence tourists staying at the Grand Jimbaran Boutique Hotel and Spa and to find out the most dominant factors influencing tourist decisions to stay. In this study using a simple random sampling technique by taking samples by distributing questionnaires and using guest comments on random online travel agents to each participant who participated in the study. The number of samples in this study were 100 respondents and the data processing was carried out with the help of SPSS software version 25. In processing the data, steps were taken to find validity, reliability and factor analysis. Based on the results of the study estimated 4 factors that influence the decision to stay at the Grand Jimbaran Boutique Hotel and Spa. These factors are service and price factors have a total variance of 58,196%, location factors have a total variance of 5,918%, promotion factors have a total variance of 5,671% and design factors have a total variance of 5,136%. The most dominant factor influencing tourists Staying at the service and price factors which have the highest total variation of 58,196% with an eigen value of 11.639 consisting of 10 variables such as sympathetic employees in providing services, appropriate room rates, uniforms used by clean and neat employees, completeness of service, number of rooms, providing complete and clear services, room rates according to room quality, services provided quickly and easily, employees provide excellent service to tourists, friendly employee services. The cumulative of the 4 factors is 74,921%, so the accuracy of the model is 73%. Keywords: Tourist, Hotel, Factors Analysis

To assess the impact of local and systemic factors on additional peri-implant bone loss. From a total of 253 patients, 193 were selected (126 women) and restored with 722 implants, in place for at least 1 year. Patients had previously attended the supportive periodontal/peri-implant therapy program at the Department of Implant Dentistry at the Federal University of Santa Catarina, Brazil. The study was divided according to physiologic (PBL < 2 mm) or additional bone loss (ABL >= 2 mm) evaluated from the time of prosthesis placement to the reassessment visit. Data collection and analysis included evaluation of systemic factors, such as history of periodontal disease, heart disease, hypertension, diabetes mellitus, hyperthyroidism/hypothyroidism, osteoporosis, kidney disease, alcohol abuse, smoking habits, chemotherapy, radiation therapy, menopause, and hormone replacement. Analysis of local factors included implant platform, diameter, location, time in function, and type of prosthesis. No systemic factors influenced ABL (P > .05). Considering local factors, only time in function and type of prosthesis influenced ABL (P < .05). Fixed partial dental prostheses and full-arch fixed prostheses present higher rates of ABL. In addition, all types of prostheses showed greater ABL when in function for more than 4 years.

Paragangliomas are infrequent neuroendocrine tumours whose only criterion for malignancy is presence of metastases; thus, all paragangliomas show malignant potential. Actually, different risk factors have been analyzed to predict metastases but they remain unclear. To analyze clinical, histological, and genetic factors to predict the occurrence of metastasis. A multicentre retrospective observational analysis was performed between January 1990 and July 2019. Patients diagnosed with paraganglioma were selected. Clinical, histological, and genetic features were analyzed for the prediction of malignancy. A total of 83 patients diagnosed with paraganglioma were included, of which nine (10.8%) had malignant paraganglioma. Tumour size was greater in malignant tumours than in benign (6cm vs. 4cm, respectively; p = 0.027). The most frequent location of malignancy was the thorax-abdomen-pelvis area observed in six cases (p = 0.024). No differences were observed in histological differentiation, age, symptoms, and catecholaminergic production. The most frequent genetic mutation was SDHD followed by SDHB but no differences were observed between benign and malignant tumours. In the univariate analysis for predictive factors for malignancy, location, tumour size, and histological differentiation showed statistical significance (p = 0.025, p = 0.014, and p = 0.046, respectively); however, they were not confirmed as predictive factors for malignancy in the multivariate analysis. In this study, no risk factors for malignancy have been established; therefore, we recommend follow-up of all patients diagnosed with paraganglioma.

Transportation is a very important field of activities in the life of Indonesian people. Recognizing the importance role of transportation, traffic and road transportation must be organized in an integrated national transportation system and able to realize the availability of transportation services in accordance to the level of need. One of the most widely used transportation is ojek online. Of course, some factors become the influence of the use of online motorcycle taxis. One quantitative method that can measure customer perception using online motorcycle taxis is the Factor Analysis method, which is a statistical analysis used to find out the factors that underlie and show interrelationships between changemakers. Based on questionnaires distributed to 150 students in the FMIPA environment of Udayana University in 2021 and after an analysis of factors on questionnaire data, it was obtained that factors which influence students' decisions to use online motorcycle taxis are location and destination factors, service factors, application factors, and promotional factors. These factors can explain the diversity of students to use online motorcycle taxis by 34.666%; 28,897%; 22.563% and 10.873%. The dominant factor that mostly influence students' decision to use online motorcycle taxis is the factor of place and destination location that can be explained by 34.666%.

Stated locational preferences of Italian entrepreneurs: The underlying location factors

Distribution center plays an important role in the whole supply chain, and distribution center location decision is the core content of logistics systems analysis. Based on the analysis of the object of supply chain distribution center location, the main influence factors of the supply chain distribution center location were divided by using the ISM model, and a multi-grade hierarchical structure diagram of distribution center location was designed. By combining qualitative and quantitative methods, the hierarchical relationship of the main influence factors of supply chain distribution centers location is clarified.

A lot of studies have attempted to examine the association between the risk of breast cancer and socioeconomic factors using traditional statistical approaches without considering the spatial variations of socioeconomic variables and their varying effects on the risk of breast cancer. As an alternative, geographically weighted regression (GWR) can address such weakness. However, not all factors are necessarily global factors or local factors. Under this context, this study employs geographically weighted general linear regression (GWGLR) model to analyze the relationship between socioeconomic characteristics and breast cancer risk for the state of Illinois from 1999 to 2013. The study first uses ordinary least square to identify the most influential variables. Then GWR and GWGLR models are constructed based on the same set of variables. The GWGLR models improved both the OLS and GWR models. The spatial and temporal analyses suggest that economic status has a global effect on breast cancer risk. Both low and high economic status could be associated with an elevated risk of breast cancer. Occupation, however, is associated with the risk of breast cancer more as a local factor. The GWGLR models also helped reveal the regional variations of those relationships.

Off-shore wind energy is an emergent and promising research field, although traditional onshore wind energy has already been explored for several decades. It has already been discovered that constructing wind turbines in the maritime space takes apparent advantages but meanwhile also creates disturbance that cannot be neglected. In academia, various locational factors have been described to estimate the rationality of different off-shore wind energy in certain regions. This study takes systematic research into the existing literature, compares each of the wind energy locational factors, analyzes how these factors determine the wind energy effects, and ultimately provides a clear summary of locational factors that are necessarily or mostly considered for the construction of off-shore wind energy facilities. As an academic review, the purpose of this study is to reveal vital factors and improve the comprehensive benefits of offshore wind energy. The result is that currently wind energy efficiency and benefits are highly relevant to natural environment factors, social technical factors, and financial factors. Other factors related to ecosystems are gradually raising the awareness of scholars, which can only be found in the latest research. It is common to figure out conflicts between different kinds of factors; thus, balance and optimization are required.

Due to the strategic impact of a facility location decision, a location search requires thorough analysis of numerous location factors. The difficulties in multi-factor analysis of location decisions have been challenged by many location researchers. This research study proposes the development of a novel geographic information system-based decision support system (GISDSS) to support high quality decision making in the facility location domain. A review of past location studies was conducted to identify the major considerations for locating a facility and to develop a taxonomy of location factors for Thailand. The GISDSS incorporates a chromatic representation location model and vastly accepted location factors. A geographic information system (GIS) is used with the location model to manipulate data and identify suitable sites. The model analyzes input data and recommends the best locations through the hue, saturation and value (HSV) color model.

The article presents an analysis of location factors for high-tech industries in Russia based on the study of its actual spatial structure. The aim of the work is to find the most relevant location factors for the Russian high-tech complex. Among the tasks of the article: literature review and the formation of a list of location factors relevant for high-tech; mapping of high-tech industries in Russia based on microdata; identification of spatial patterns of placement of high-tech industries. The research is based on the methods of bibliographic, regional, statistical and spatial analysis, the study uses the case-study method. The list of location factors analyzed in modern works on the topic of location selection is considered and their relevance to high-tech industries is determined. Work also describes a number of changes in location choices of enterprises in modern Russia in relation to the Soviet ones – among other things, this is a decrease in the importance of the strategic factor and an increase in the influence of socioeconomic conditions, a change in the spatial organization of industry. On the basis of microdata reportings of high-tech industries, a map of their location at the local level was prepared and a description of the key areas of their location was carried out. For each area, an analysis of typical cases of the specifics of business location at the level of individual municipalities has been prepared. Based on the analysis, conclusions have been drawn about the dominant factors determining the placement of production facilities. The most significant factor of placement is the influence of agglomerations and related socio-environmental factors, scientific, technological and transport infrastructure, socio-economic development of territories. There is a strong influence of the “relic” production sites inherited from the USSR – they become the basis for new productions, form a chain of suppliers around themselves, creating informal clusters. Preferential zones – SEZs, technological and industrial parks, have become important points of growth for new high-tech business. Outside of the main areas of high-tech placement, the main location factor is the demand from local industries, especially from the oil and gas and mining sectors.

Spatio-temporal evolution and location factors of port and shipping service enterprises: A case study of the Yangtze River Delta

REGIONAL MANUFACTURING STRUCTURE IN THE SOUTHEASTERN UNITED STATES, 1973 James O. Wheeler" There have been a number of studies in recent years dealing with the location of manufacturing activities in the southeastern United States, a region that has been growing at a rate above the national average for the past several decades. (1) The majority of these studies have focused on the reasons for firms locating in the South or on the role of a particular locational factor, such as wage rates or water. (2) Although no definitive statement exists on the precise role or relative importance of various locational factors responsible for the growth of Southern industry , the major factors have been identified: national markets, regional markets, resource availability, labor advantages (wage rate and labor surplus), industrial linkages, and climatic suitability. However, analysis of these locational factors has only obliquely shed light on the regional structure of manufacturing in the South. Generalizations about the structure of Southern manufacturing include its lack of a diversified industrial base and the dominance of low wage, low value-added, low capital investment, and slow growth industries . (3) Singled out for special analysis has been the rural locational preference of Southern manufacturers, which varies, according to research by Lonsdale and Browning, from a high of 61 percent rural firms in South Carolina to a low of 24 percent in Tennessee. (4) Their survey of nearly 2,000 manufacturing firms in 1969 established the Southeast as distinct from most of the rest of the country in having a high proportion of rural industry. Other research has examined the South in the context of location theory and regional development theory. (5) This work has drawn upon two somewhat different theoretical frameworks, the first viewing industrial growth and locational change largely as an internal process within a region, while the second attributes industrialization to an export base through interregional (or international) trade theory. (6) Both purport to explain the magnitude and regional structure of manufacturing. The first approach, stemming largely from Hoover and from Perroux, emphasizes the sequence or stages of development. (7) The theories relate structural change in the region to technological progress and explicitly address the question of the location of industry within the region. Hoover's work, following from classical locational theory conceived at *Dr. Wheeler is professor of geography at the University of Georgia. This paper was accepted for publication in June 1974. 68Southeastern Geographer a macroscale, incorporated technological change; many spin-offs and derivatives have been developed. (8) Perroux has initiated a large body of research on the growth pole concept within a region, and Darwent has examined the concept from an explicitly geographical point of view. (9) The second analytic framework, the external stimulus to regional growth, has been examined by a number of writers, including North, but it has been little applied in the context of the South. (10) Needless to say, the interregional trade theory and the intraregional, macro locational theory share several points in common. PURPOSE AND DATA. The purpose of this research is to describe the regional structure of manufacturing in 12 Southeastern states and their major metropolitan areas, with focus upon the largest firms which employ the majority of the labor force, contribute the greatest to the total valueadded by manufacturing, and consequently exert the greatest impact on the regional economy. What are the broad industrial distributions within the Southeast, how does the industrial mix vary from place to place, and what is the role of metropolitan areas in the South's manufacturing characteristics and composition? After answering these questions, the regional structure of Southern manufacturing is discussed in the context of interregional trade theory and the evolutionary concepts of macro location theory. The primary methodology employed is factor analysis. Manufacturing firms analyzed in this study are those listed as having over one half million dollars in assets in January, 1973. (11) Although these constitute only about 3,500 plants in the 12 Southeastern states, these plants represent the dominant manufacturing base of the region and reveal the principal regional structure of manufacturing. It can be argued that emphasis on the rather large number of small firms has led in the past to a misleading picture...

In the context of regional economic integration, free-trade port zones (FTPZs) have become a powerful platform for attracting high-quality international investment and promoting national economic development. It is worthwhile, then, to explore the hidden value of the locational factors of FTPZs in the process of their construction. Specifically, analyzing the key locational factors of FTPZs and their influences on the locational value can help to improve the ability of FTPZs to add value through factor congregation and further promote the development of regional economies. This study, therefore, analyzes the locational factors of the Shanghai and Ningbo-Zhoushan free-trade ports using an econometric model. The corresponding external influences of locational factors are examined as well. The results show that regional economic development level, industrial structure, port and shipping system, capital accumulation, talent quality, institutional policies, market scale, market consumption potential, and market openness are the essential factors affecting the locational value of FTPZs. Based on our analysis and comparison of the location characteristics and locational value of the Shanghai and Ningbo-Zhoushan free-trade ports, three constructive suggestions are made to enhance the locational value of free-trade ports based on the actual situation of the Ningbo-Zhoushan free-trade port. These suggestions can also maximize the value of free-trade ports’ locations and promote high-quality regional economic growth.