scholarly journals Analysis of the Relationship Between Industry Concentration and GDP Growth: China’s Property Insurance Industry

2015 ◽  
Vol 9 (1) ◽  
pp. 1530-1534
Author(s):  
Qianqian Li
2018 ◽  
Vol 7 (3) ◽  
pp. 5-24 ◽  
Author(s):  
Mustafa Özer ◽  
Jovana Žugić ◽  
Sonja Tomaš-Miskin

Abstract In this study, we investigate the relationship between current account deficits and growth in Montenegro by applying the bounds testing (ARDL) approach to co-integration for the period from the third quarter of 2011 to the last quarter of 2016. The bounds tests suggest that the variables of interest are bound together in the long run when growth is the dependent variable. The results also confirm a bidirectional long run and short run causal relationship between current account deficits and growth. The short run results mostly indicate a negative relationship between changes in the current account deficit GDP ratio and the GDP growth rate. This means that any increase of the value of independent variable (current account deficit GDP ratio) will result in decrease of the rate of GDP growth and vice versa. The long-run effect of the current account deficit to GDP ratio on GDP growth is positive. The constant (β0) is positive but also the (β1), meaning that with the increase of CAD GDP ratio of 1 measuring unit, the GDP growth rate would grow by 0,5459. This positive and tight correlation could be explained by overlapping structure of the constituents of CAD and the drivers of GDP growth (such as tourism, energy sector, agriculture etc.). The results offer new perspectives and insights for new policy aiming for sustainable economic growth of Montenegro.


Author(s):  
Thanawat Chalkual ◽  
Jeanne Peng ◽  
Shijia Liang ◽  
Yao Ju

This paper aims to examine the relationship between trade policies and economic growth. In order to test whether restrictive trade policies have a positive impact on economic growth, we investigate America, Australia and China, and, analyse how their economic performance varies between a free trade environment and a relatively protective trade environment. In this paper, we focus on comparative advantage and use various data such as tariff rate, GDP growth rate, unemployment rate, etc. to test the influence of trade policies on economic growth.We find some support that less restrictive trade policy leads to better economic growth; however overall tariff rates do not seem to have a strong effect on economic growth rates


Author(s):  
Erwin Kurniawan A. ◽  
Muhammad Awaluddin ◽  
Fitriadi Fitriadi ◽  
Arfiah Busari ◽  
Dio Caisar Darma

Indonesia is a developing country that has always prioritized sustainable development. In achieving these development goals, Indonesia needs to achieve economic growth by improving population welfare and increasing income. With the form of panel data from 34 provinces in Indonesia that have unique characteristics, the author presented them during 2015-2019. Through multiple linear regression, this study seeks to discuss the relationship of unemployment, labor force participation rate, and poor people to Indonesia’s GDP growth. These findings suggest that the three macroeconomic variables have a negative impact on GDP. Regarding GDP growth, only unemployment has an actual effect, while others have no significant effect. The implications of the policies pursued by the government are not only paying attention to economic aspects but social problems that are expected to spur economic development.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 3760-3763 ◽  

The article discusses the relationship between the development of fuel and energy Uzbekistan with GDP growth (gross domestic product). Data are provided on the forecast growth rates of the world economy, the average developed countries and Uzbekistan, factors for ensuring GDP growth in tandem with the efficiency of the use of fuel and energy resources. Based on the cross-country regression analysis, the model of the influence of the energy system performance index (EAPI) on GDP growth is shown.


2018 ◽  
Vol 19 (0) ◽  
pp. 271-277
Author(s):  
Adriana Grenčiková ◽  
Ilona Skačkauskienė ◽  
Jana Španková

Migration is historically a social phenomenon that not only has a significant effect on politics, economics, and social aspects but also presents challenges to the security of states and alters population composition in countries. Labor migration and its investigation are becoming a society-wide phenomenon because of the labor force shortage as well as the aging population. The Slovak Republic is a country that faces the outflow of qualified workers abroad, and the country’s index of aging is one of the most dynamic in Europe. The current study aims at examining the relations and the reasons for emigration to work from the Slovak Republic. To identify the causes of labor emigration in the Slovak Republic, a survey was conducted to explore the decisions of people to emigrate for work, the duration of the stay abroad and the possibility of returning to Slovakia. This study also analyses the relationship between GDP growth and improvement of the economic situation in Slovakia, the number of labor emigrants, as well as the relationship between the minimum wage and the number of labor migrants.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiguang Li ◽  
Yaokuang Li ◽  
Wei Zhang

Purpose Based on the perspective of complexity theory, the operation process of property insurance companies can be regarded as a complex dynamic nonlinear chaotic system. This paper aims to measure the operating efficiency of 29 Chinese domestic property and casualty (P&C) companies and 18 foreign-invested P&C companies from 2011 to 2017 and outline the path to achieving high-quality development. Design/methodology/approach The data were obtained from the Chinese Insurance Yearbook and China Statistical Yearbook 2012–2018. The data envelopment analysis method was used to calculate the technical efficiency of property insurance companies and fuzzy set qualitative comparative analysis is used for configuration analysis of determinants affecting technical efficiency. Findings This paper founds the average technical efficiency of Chinese domestic P&C insurance companies was 0.914 and that of foreign-invested P&C insurance companies was 0.895. The average total factor productivity of Chinese domestic P&C insurance companies was 1.058 and that of foreign-invested P&C insurance companies was 1.051. There were three modes to improve the company’s technical efficiency, with high loss ratio and low reinsurance ratio, poor employee education and higher leverage ratio and high leverage ratio and low reinsurance ratio as the core conditions. Originality/value This study puts forward four applicable, targeted and proven ways to improve the technical efficiency of China’s P&C insurance industry. These configurations were verified by the cases of existing property insurance companies, which can provide practical references for the insurance industry.


Author(s):  
Teuta Cata

This article has investigated the insurance industry and provided insights into the relationships of organizational size and age with outsourcing and organizational structure. Also, this study investigated the relationship between Web site age, outsourcing, and organizational structure. The main findings are that firm size and maturity is related to the decision of Web-based development approach and the best organizational structure to support online activity. The insights obtained by a new variable: Web site age suggests that insurance companies are trying to develop their Web-based activities within their existing organizational structures, rather than creating new e-commerce divisions.


2019 ◽  
Vol 50 (1) ◽  
pp. 1-24
Author(s):  
Gee Y Lee ◽  
Scott Manski ◽  
Tapabrata Maiti

AbstractIn insurance analytics, textual descriptions of claims are often discarded, because traditional empirical analyses require numeric descriptor variables. This paper demonstrates how textual data can be easily used in insurance analytics. Using the concept of word similarities, we illustrate how to extract variables from text and incorporate them into claims analyses using standard generalized linear model or generalized additive regression model. This procedure is applied to the Wisconsin Local Government Property Insurance Fund (LGPIF) data, in order to demonstrate how insurance claims management and risk mitigation procedures can be improved. We illustrate two applications. First, we show how the claims classification problem can be solved using textual information. Second, we analyze the relationship between risk metrics and the probability of large losses. We obtain good results for both applications, where short textual descriptions of insurance claims are used for the extraction of features.


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