scholarly journals Market Structure, International Competitiveness, and Price Formation of Hainan’s Fruit Exports

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.

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.


Author(s):  
Antonio Ramos Andrade ◽  
Julian Stow

This article assesses the technical efficiency of different operators turning railway wheelsets on an under-floor wheel lathe. This type of lathe is a computer numerical control machine used to turn wheelsets in situ on the train. As railway wheels are turned, a certain amount of the wheel diameter is lost to restore the tread profile and full flange thickness of the wheel. The technical efficiencies of the different wheel lathe operators are assessed using a stochastic frontier analysis, while controlling for other explaining variables such as the flange thickness and the occurrence of rolling contact fatigue defects, wheel flats and cavities. Different model specifications for the stochastic frontier analysis are compared with linear mixed model specifications, showing that the stochastic frontier analysis model exhibits a better Akaike information criterion.


2017 ◽  
Vol 57 (7) ◽  
pp. 947-961 ◽  
Author(s):  
Honglei Zhang ◽  
Jinhe Zhang ◽  
Yang Yang ◽  
Qiang Zhou

Bargaining behavior is popular when tourists shop, with bargaining power representing the surplus sellers or buyers obtain after price negotiations. This article applies a two-tier stochastic frontier analysis to estimate sellers’ and buyers’ (i.e., tourists’) surplus terms as a measure of their respective bargaining power. Using large-scale data on shopping behavior obtained from a domestic tourist survey conducted in Nanjing, China, between 2005 and 2010, our empirical results indicate that in general, tourists exhibit stronger bargaining power than sellers. Additionally, tourists’ net surplus, as a measure of relative bargaining power, is heavily informed by their tripographic and sociodemographic characteristics, with the former being more influential. In particular, tourists traveling with companions and obtaining travel information from friends and mass media tend to have stronger-than-average bargaining power.


2021 ◽  
Vol 235 ◽  
pp. 02005 ◽  
Author(s):  
Weiwei Huang ◽  
Liwenjun Xu ◽  
Yinru Guo

This paper selects the panel data on 31 provinces (cities) in China, from 2007 to 2017, and uses Stochastic Frontier Analysis Model to measure the efficiency of technical efficiency and influencing factors of agricultural production in China. The research shows that from 2007 to 2017, China’s agricultural average production technology efficiency has steadily improved, but there is still much room for development. The agricultural production technology efficiency is greatly different in different part of China. The eastern region has the highest efficiency, and the central and western regions are lower than the national average. Labor input, fertilizer application, and diesel fuel are factors that directly affect the technical efficiency of agricultural output. Time trend and urbanization level indirectly affect the agricultural production technology efficiency, and the impact is positive.


New Medit ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 77-84
Author(s):  
Arben Musliu ◽  
Blend Frangu ◽  
Jennie S. Popp ◽  
Nathan Kemper ◽  
Michael Thomsen

The aim of this research paper is to assess the technical efficiency (TE) of milk production in Kosovo using the stochastic frontier analysis. Research data are collected through surveys from 100 commercially oriented dairy farmers. The study finds that TE of milk production by most of these farms is high. Using the Cobb-Douglas production function, individual measures of TE range from 0.87 to 0.98 (on a scale of 0 to 1.00) with the average being 0.95. There were 57 farms with TE greater than 0.95 and 35 farms with TE less than 0.95. In the study’s sample, female dairy farmers have roughly the same mean TE of 0.95 as male dairy farmers. The variation in milk production among the sampled farms was modeled in terms of concentrate and forage feed costs and pre-production costs. The study suggests that concentrate feed and pre-production costs can significantly influence TE of milk production among Kosovar dairy farms.


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