scholarly journals PERSONNEL SUPPLY AND DEMAND FOR CIVIL AVIATORS IN TAIWAN

Transport ◽  
2007 ◽  
Vol 22 (4) ◽  
pp. 256-262 ◽  
Author(s):  
Chin-Tsai Lin ◽  
Pin-Ju Juan

This work was based on data from 2000–2005 provided by the Civil Aeronautics Administration Ministry of Transportation and Communications, and applied the GM (1,1) model of Grey theory to forecast annual demand and supply for civil aviators in Taiwan. This work adopted a five‐year moving average to calculate the transition probability for civil aviators in Taiwan from 2006–2010 considering various levels of seniority. The study results provide a valuable reference for the relevant authorities in identifying the manpower policies of Taiwanese airlines.

Author(s):  
A. Lyulyov ◽  
T. Pimonenko ◽  
A. Khaba ◽  
Ya. Us ◽  
K. R. ogli Huseynadze

Tourism is considered to be one of the most profitable and dynamic sectors of the economy. However, the outbreak of the COVID-19 pandemic and the following quarantine restrictions have caused substantial losses and a critical decline in supply and demand in the tourism sector. Furthermore, the mentioned above provokes a further recession in conditions of economic, social and political tension. Therefore, the urgency of solving this scientific problem lies in need to develop a new strategy for qualitative change and improvement of business processes in the tourism industry. Consequently, it will allow intensifying the efforts to restore the tourism sector of Ukraine. The primary purpose of the study is conducting the forecast of the tourism industry development in Ukraine during the pandemic COVID-19. There were two scenarios considered to build the forecast of tourism activity: 1) without the quarantine restrictions; 2) taking into account the quarantine restrictions on movement. The integrated model of moving average autoregression (ARIMA) became a methodological tool of the conducted research. The object of the study was the Ukraine resident’s requests on the traffic routes from January 13, 2020, to May 09, 2020. Eviews 11 SV software has become a tool for the practical implementation of all stages of this study. According to the results of empirical analysis, the recovery of the tourism sector will have a slightly positive trend in case of the quarantine restrictions. Thus, the authors emphasized the need to increase the tourism market competitiveness through the introducing the new proposals, ensuring a high level of hygiene and safety, attracting innovative management methods, active using the modern information technology, etc. The study results are considered to be the basis for further research on building a strategy for tourism recovery in Ukraine.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Gordana Djurovic ◽  
Vasilije Djurovic ◽  
Martin M. Bojaj

Abstract This study examines, diagnoses, and assesses appropriate macroeconomic policy responses of the Montenegrin Government to the outbreak of COVID-19. The model econometrically measures the macroeconomic costs using a Bayesian VARX Litterman/Minessota prior to the pandemic disease in terms of demand and supply loss due to illness and closed activities and their effects on GDP growth in various pandemic scenarios. We explore five economic scenarios—shocks—using the available data from January 2006 to December 2019, following real out-of-sample forecasts generated from January 2020 to December 2020. Sensitivity scenarios spanning January 2020 to June 2020 from ± 10 to ± 60% were analyzed. We observed what happens to the supply and demand sides, namely, GDP, tourism, capital stock, human capital, health expenditures, economic freedom, and unemployment. The results show a toll on the GDP, tourism, unemployment, capital stock, and especially human capital for 2020. The recommended policy measures are public finance spending initiatives focused on securing employment and keeping highly qualified staff in Montenegrin companies. Considering all uncertainties, the rebound of the Montenegrin economy could take a few years to reach pre-COVID 19 output levels.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ecler Jaqua ◽  
Terry Jaqua ◽  
Van Nguyen

Supply and demand are amongst the essential requirements before starting up a business. Understanding the quantity of a commodity wished to be sold by producers based on different prices and the item needed by consumers wish purchasing is essential in coming up with ideas. Based on the understanding of this and background research on costs in healthcare, specifically family medicine, it is found that healthcare is amongst the essential requirements, and thus the critical focus of the business idea in a physician’s practice focusing on family medicine care in the US. Starting up the business is based on healthcare demands in the market and further the pricing strategy utilized by most family medicine clinics. Through a connection to the business based on visits in hospitals and the quality offered by these service providers, it is noted that the demand is high and is the most expensive sector in the world, but care is ineffective (The Peterson Center on Healthcare, n.d.) thus leading to searching for effective alternatives by consumers. This creates a potential for offering the most effective services to cater to the demands, and as noted by the Peterson Center on Healthcare (n.d.), the US healthcare system is the most expensive, and costs are projected to grow dramatically in the coming years thus creating the most significant business opportunity to entrepreneurs. By adjusting the resources and trying to cater to the demand in various locations, the key idea is to cater to the need and profit from the sector. The concern of gaining information in the market is research on different healthcare websites and the prices offered and the quality of their services. This will aid in adjusting the prices effectively and thus retaining the demand and supply chain.


BISMA ◽  
2020 ◽  
Vol 14 (3) ◽  
pp. 210
Author(s):  
Hari Sukarno ◽  
Ratna Pratiwi Nugroho ◽  
Susanti Prasetiyaningtiyas

This research aims to analyze the credit's predictive value, the development pattern of credit distribution, and the credit fluctuations of 13 Rural Banks in Jember, influenced by seasonal index variables, credit interest, NPL, LDR, ROA, CAR, and operational efficiency ratio. This study used an explanatory research approach. The sample consisted of all Rural Banks' quarterly financial reports in 2014-2019 taken by a purposive sampling method. Data were analyzed using three methods, i.e., double exponential smoothing, moving average ratio, and multiple linear regression analysis methods. Results showed that, according to each data analysis method, ten Rural Banks experienced increased credit distribution. However, the other three Rural Banks experienced a decrease in credit distribution. The study results also indicated an increasing trend in the development pattern of credit distribution. Meanwhile, the NPL and LDR variables partially influenced credit fluctuations. Keywords: credit prediction, rural bank, seasonal index


Author(s):  
Avraham Ebenstein ◽  
Ethan J. Sharygin

China has experienced an explosion in the sex ratio at birth, with 25 million more men than women younger than 20 (2005 census). This chapter examines the implications of large numbers of men failing to marry on the supply-and-demand dynamics of sex work, with a focus on how this affects the prevalence of sexually transmitted infections (STIs). The chapter begins with a history of prostitution in China and describes the massive increase in sex work following economic reforms in the late 1970s. It then analyzes the current dynamics of demand and supply for sex work in China, using national census data and detailed microdata on sex workers. The authors find a clear link between high-population sex ratios, the prevalence of sex work, and STI rates. The analysis concludes with projections for the future and a discussion of policy responses in light of an anticipated increase in sex work.


Author(s):  
Rashed A. Alzahmi ◽  
Hanan AlMazrouei ◽  
Robert Zacca

The processes of acquiring and managing human capital are critical to achieving success and to gaining and sustaining a competitive advantage. Talent management planning is a means to manage changes in workforce supply and demand and to implement strategies to recruit and retain talented individuals. This study investigates how managers at one of the world's largest energy companies in the United Arab Emirates (UAE) perceive and develop talent management in their organization. The study utilized an exploratory non-probability purposive sampling method of 10 individual managers within Abu Dhabi National Oil Company and its subsidiaries (ADNOC) triangulated with organizational documentation and archived records. The study results are organized under three themes: (1) recruitment and selection strategies; (2) training, education, and professional development; and (3) attractive compensation and benefits packages.


Author(s):  
Begum Sertyesilisik

Sustainability of the economy depends on the reduction of the environmental footprint of the supply and demand as economy relies on the production enabled by natural resources. The construction industry is one of the major industries influencing sustainable and social development. The construction industry and the built environment, however, have important environmental footprints. Therefore, the demand and supply sides in the construction industry must be transformed into more sustainable ones. Furthermore, the principles and emerging concepts of sustainable and innovative economy need to be adopted by the construction industry. Based on an in-depth literature review, this chapter focuses on the integration and impacts of the emerging concepts for the sustainable and innovative economy in the construction industry. This chapter is expected to be useful for academics, graduate and undergraduate students, researchers, policymakers, and construction industry professionals.


Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 242 ◽  
Author(s):  
Shunyong Yin ◽  
Jianjun Xia ◽  
Yi Jiang

Combined heat and power (CHP), an efficient heating method with cascades use of energy, accounts for approximately 50% of the heat sources in northern China. Many researchers have made significant efforts to improve its energy efficiency and environmental effects with important achievements. Given that the system produces heat and electricity at the same time, this study focuses on the role of CHP in the holistic urban energy system and points out the mismatch between the demand and supply sides of urban energy systems by using the heat-to-power ratio as a parameter. The calculation method and characteristics of the supply side heat-to-power ratio of eight heating methods and the maximum demand side heat-to-power ratio for 19 cities in northern China are displayed. After the analysis, it is concluded that (1) the maximum demand side heat-to-power ratio in the cities varies from 1.0 to 5.9, which is affected by the location and social, economic, and industrial structures. (2) In most of the cities, with the current energy structure, the demand side heat-to-power ratios are always larger than the supply side heat-to-power ratios. (3) The reduction in heating demand, surplus heat recovery, and the use of a highly efficient electric heating method, such as the heat pump, can help solve the mismatch of the heat-to-power ratio between the demand and supply sides. These conclusions can guide the urban energy planning and system construction.


2019 ◽  
Vol 15 (1) ◽  
pp. 1-13
Author(s):  
Aman Shakya ◽  
Subhash Paudel

 Skills management is one of the key factors to address the increasing competitiveness among different companies. Suitable knowledge representation and approach for matching skills and competences in job vacancies and candidate profiles can support human resources management automation through suitable matching and ranking services. This paper presents an approach for matchmaking between skills demand and supply through skill profiles enrichment and matching supply and demand profiles over multiple criteria. This work builds upon methods for profile modeling, information enrichment and multi-criteria matching. The main contribution of this work is a methodology for harmonization and enrichment of heterogeneous profile models and skill set description by making use of the standard ESCO ontology. Secondly, an algorithm is proposed for similarity matching across multi-criteria for discovering set of profiles that best fits the job description criteria. A prototype web-based system has been developed to implement the proposed approach and deployed online. The system has been tested with real IT jobs related dataset and validated against relevance scores provided by human experts. Experimental results show consistent correspondence between the similarity ranking scores produced by the system and scores provided by the human users.


2018 ◽  
Vol 10 (1) ◽  
pp. 201 ◽  
Author(s):  
Chul-Hee Lim ◽  
Yuyoung Choi ◽  
Moonil Kim ◽  
Soo Lee ◽  
Christian Folberth ◽  
...  

In agriculture, balancing water use and retention is an issue dealt with in most regions and for many crops. In this study, we suggest agricultural water equilibrium (AWE) as a new concept that can facilitate a spatially explicit management of agricultural water. This concept is based on the principle of supply and demand of agricultural water, where the virtual water content of crops (VWC) can be defined as the demand, and cropland water budget (CWB) as the supply. For assessing the AWE of the Korean Peninsula, we quantified the CWB based on the hydrological cycle and the VWC of rice, a key crop in the Peninsula. Five factors, namely crop yield, growing season evapotranspiration, annual evapotranspiration, runoff, and annual precipitation, were used to assess the AWE, of which the first four were estimated using the spatially explicit large-scale crop model, Geographical Information System (GIS)-based Environmental Policy Integrated Climate (GEPIC). The CWB and VWC were calculated for a period of three decades, and the AWE was computed by deducting the VWC from the CWB. Our results show a latitudinal difference across the Korean Peninsula. On analyzing the AWE of the major river basins, we found most basins in North Korea showed very low values inferring unsustainable overconsumption of water. The latitudinal difference in AWE is a reflectance of the latitudinal changes in the VWC and CWB. This can be explained by decoupling the demand and supply of agricultural water. Although the AWE values presented in this study were not absolute, the values were sufficient to explain the latitudinal change, and the demand and supply of agricultural water, and establish the usefulness of the indicator.


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