scholarly journals Economic Efficiency Measurement of Guangzhou Airport based on Stochastic Frontier Analysis Model

Author(s):  
Zehua Zhang ◽  
Jing Yang ◽  
Yuteng Wan ◽  
Runjiao Pan ◽  
Mo Kuang
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hailing Fu ◽  
Chongli Huang ◽  
Zhuoqi Teng ◽  
Yuantao Fang

Through a constant market share (CMS) model and a price index model, current research aims to analyze the impetus of the growth of Hainan, China’s fruit exports and the adverse impact of rising production costs. This paper considered the changes in the international competitiveness of Hainan’s fruit exports and analyzed the reasons for these changes. Additionally, this manuscript analyzed the effects of Hainan’s price-bargaining power on fruit exports under the condition of asymmetric information by applying a two-tier stochastic frontier analysis model. The results show that the rising costs of labor led to the gradual loss of price advantage, and the contribution of competitiveness to the growth of Hainan’s fruit exports has rapidly declined. The results also indicate that the degree of information held by both importers and Hainan has an important influence on the final exporting price, whereas the importers hold more information and have stronger price-bargaining power than Hainan. Policy suggestions based on the results are proposed.


JURNAL AGRICA ◽  
2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Esra Frandika Barus

The needs of cabbages tends to increase. Meanwhile, cabbage production is not optimal and just seasonal. However, demands of cabbages in export field are high so, it makes the cabbage farming is a strategic area to be developed. To increase production through increasing the use of inputs and using new technologies is relatively difficult because it requires high costs. Therefore,  increasing production by improving farming efficiency is a relevant option. Farmers’ managerial skills and their combining various production inputs ability will affect the production. Efficient use of input amount (allocative efficiency) and a good technical efficiency are important for increasing the production. Production of cabbage farming efficiency was analyzed by using stochastic frontier analysis (SFA). The results of the analysis showed that the technical, allocative and economic efficiency of cabbage farming in Karo District had not achieved. The average of the technical, allocative and economic efficiency values of the respondent were 0.697, 0.374 and 0.215. These results indicate that low efficiency is a contributing factor to the low productivity of the cabbage farmer respondents' in Karo District. Several factors that have a significant effect on the efficiency are farming experience, labor ratio, land ownership status and cabbage lifespan.


2021 ◽  
Vol 3 (4 (111)) ◽  
pp. 58-64
Author(s):  
Arthur Mitsel ◽  
Aliya Alimkhanova ◽  
Marina Grigorieva

The concept of efficiency is important in economic science; at present, its role in every sector of the economy is growing. Evaluating an enterprise’s efficiency makes it possible to implement a correct and profitable strategy of resource allocation, which shows its potential level Given an annual increase in the number of bankrupt enterprises, the issue of estimating the efficiency of enterprises is relevant for both their owners and managers, as well as for creditors. There are various methods and models for estimating the performance of enterprises. This work has assessed the efficiency of enterprises in the industrial sector over the period of 2017‒2018. Stochastic Frontier Analysis is based on the stochastic model of production function. The classic SFA method is based on the production function of the company, which relates the volume of output to the volume of resources consumed. At the same time, the SFA model uses several inputs (volumes of resources consumed) and only one output parameter ‒ the volume of production. In order to achieve more precise results, a given model has been modified. The model allows several key financial indicators to be taken into consideration as outputs at the same time, based on which the financial activities of the studied economic entities are assessed. The result of the work involving open sources has revealed how the efficiency of different enterprises in the same industry changes over several years. It is shown that the modified Stochastic Frontier Analysis model could be used to assess financial stability and predict bankruptcy.


2021 ◽  
Vol 9 (1) ◽  
pp. 43-50
Author(s):  
Alifah Rokhmah Idialis ◽  
Sariyani Sariyani ◽  
Ayu Delawati Prasetyoningtyas ◽  
Roechainy Kartika Ulfa

Nowadays, the necessity and utilization of Automatic Teller Machine (ATM) technologies increase in rural areas.  Financial technology became a crucial thing and created efficiency in their activities. Some previous research uncovers technology that could create efficiency in the economy, including financial technology. This paper, interest in investigating and detect how ATM technology establishes financial efficiency on villagers. This research was conducted in rural communities on the island of Madura, Indonesia. This study uses SFA (Stochastic Frontier Analysis) model to estimate technical efficiency. This research found out that ATMs in rural communities on Madura Island produce highly financial efficiency. It proved that the villagers in Madura need ATM technology for carrying out their economic activities.  


2021 ◽  
Vol 14 (1) ◽  
pp. 88
Author(s):  
Xiaolei Wang ◽  
Hui Wang ◽  
Shuang Liang ◽  
Shichun Xu

As typical representatives of China’s industrial sectors, energy intensive industries are the focus of energy conservation. This study constructs a trans-log production function and stochastic frontier analysis model to analyze the impact of energy price distortion on total factor energy efficiency in energy intensive industries on the city level. The results reveal that the phenomenon of energy price distortion existed in all cities from 2003 to 2019, with an average degree of −0.175; and the total factor energy efficiency in China’s energy intensive sectors showed an upward trend, with an average efficiency of 0.729. Further deep analysis of affecting mechanisms concluded that the price distortion showed a significant restraining effect on improving energy efficiency, while the improvement of urban agglomeration systems had an opposite effect. In addition, energy consumption structure, foreign trade, and infrastructure construction are positively correlated with energy efficiency. Therefore, promoting the market-oriented reform of China’s energy market is of great significance to improve city energy efficiency and build a resource-conserving society.


2021 ◽  
pp. 1-9
Author(s):  
Muhammad Fahad Irfan ◽  
Muhammad Umer Afzal ◽  
Kaif Matloob ◽  
Irfan Ahmad Baig

The present study aims to estimate the possible effects of credit on production of wheat crop in Chakwal. The research was based on primary data gathered from 120 farmers, selected by using random sampling technique belonging to two tehsils i.e. Talagang and Chakwal. SFA (Stochastic Frontier Analysis) model was adapted to analyze the data and the results show the mean technical efficiency of the wheat crop was 82 percent for borrowers and 76 percent for non-borrowers. The results proposed that the technical efficiency of wheat growers can be increased by increasing loan disbursement in the area.


2018 ◽  
Vol 2 (1) ◽  
pp. 11
Author(s):  
Swati Raju

Aim: Urban Co-operative Banks are a small segment albeit significant constituent in the multi-stage credit delivery mechanism of the banking sector in India. These banks have an organisational, managerial and regulatory structure different from commercial banks. It is, therefore, of interest to study the efficiency with which these banks perform their core banking and off balance sheet activities. This paper focuses on the measurement of efficiency in the conduct of core banking and off balance sheet activities for the period 2013-14 to 2015-16. Design / Research methods: The main idea is to employ the parametric Stochastic Frontier Analysis and the non-parametric Data Envelopment Analysis to measure the efficiency of Urban Co-operative Banks. We estimate two models for both the frontier methods, Model A examines the efficiency in core banking activity and Model B for the off balance sheet activities. The analysis of super efficiency undertaken helps identify the most efficient bank while the quartile analysis provides an insight into the distribution of efficiency (for both Models A and B). A Tobit model (for both Models A and B) has also been estimated to identify the determinants of efficiency. Conclusions / findings: We find that Urban Co-operative banks display a higher mean efficiency in core banking activities (Model A) as compared to the off-balance sheet activities (Model B) and this finding has been reiterated by the frequency distribution of efficiency for both the frontier methods. The difference is the mean efficiency obtained for Models A and B is much wider under the stochastic frontier analysis. The analysis of super efficiency points out that of the three banks efficient under Model A and five efficient banks under Model only one bank is common to both the models. The quartile analysis highlights that 38.9 percent of the UCBs are ranked in the lower two quartiles of efficiency. The Tobit regression model has identified deposits and loans disbursed as significant determinants of efficiency for both models. Originality / value of the article: This study contributes significantly to the existent gap in the literature on efficiency measurement of banks in India by focussing on efficiency measurement among urban co-operative banks who play an important role in urban financial inclusion. Implications of the research: This study is the only study that has measured the efficiency in operations of Urban Co-operative Banks and can hence provide an insight into the operations of these banks. It can also help individual banks in taking appropriate measures to improve efficiency.


Sign in / Sign up

Export Citation Format

Share Document