Evolution and Governance of the Structure of Marine Economic Networks in China’s Coastal Areas: Based on Sea-related A-share Listed Companies

Data on discrete,isolated attributes of the marine economy are often used in traditional marine economic research.However,as the focus of urban research shifts from internal static attributes to external dynamic linkages,the importance of marine economic net-work research is beginning to emerge.The construction of the marine economic network in China’s coastal areas is necessary to change the flow of land and sea resources and optimize regional marine economic development.Employing data from headquarters and branches of sea-related A-share listed enterprises to construct the marine economic network in China,we use social network analysis(SNA)to discuss the characteristics of its evolution as of 2010,2015,and 2020 and its governance.The following results were obtained.1)In terms of topological characteristics,the scale of the marine economic network in China’s coastal areas has accelerated and expan-ded,and the connections have become increasingly close;thus,this development has complex network characteristics.2)In terms of spatial structure,the intensity of the connection fluctuates and does not form stable development support;the group structure gradually becomes clear,but the overall pattern is fragmented;there are spatial differences in marine economic agglomeration radiation;the radi-ation effect of the eastern marine economic circle is obvious;and the polarization effect of northern and southern marine economic circles is significant.On this basis,we construct a framework for the governance of a marine economic network with the market,the government,and industry as the three governing bodies.By clarifying the driving factors and building objectives of marine economic network construction,this study aims to foster the high-quality development of China’s marine economy.

Operation Efficiency and Influencing Factors of Listed Companies of Swine Industry:Empirical Analysis Based on Data of 16 Listed Companies in 2010-2014

Listed companies of the swine industry,as an important form of agricultural industrialized operation,are typical representatives of large-scale production and the level of their operation efficiency exerts a direct influence on the healthy development of the swine industry.Using the DEA-based Malmquist method,this paper made a static and dynamic evaluation of the operation efficiency of 16 listed companies in China's swine industry in 2010-2014. It obtained following results:( i) The overall efficiency of listed companies of China's swine industry remained at high level and the development trend was excellent.( ii) Different types of enterprises had difference in the overall efficiency,pure technical efficiency and scale efficiency. In general,pig feed processing companies had the best performance,followed by slaughtering and deep processing companies,and swine breeding companies were the worst.( iii) The total factor productivity characterized by the Malmquist index declined year by year in 2010-2013 and was improved in 2014,mainly due to technological progress.( iv) The total asset turnover ratio,equity concentration,and R & D management level had a significantly positive impact on the operation efficiency of listed companies in the swine industry,while the human capital had a significantly negative impact.

Investment Risks of Agricultural Listed Companies from Visual Angle of Natural Disasters

The essential feature of agriculture is the interweave- ment of natural reproduction and economic reproduction.In recent years,the natural disasters have become more frequent and badly affect the production management and investment benefits.This problem has been an important risk in managing agricultural listed companies and cannot be ignored.It is of great importance to evaluate and prevent the risks of the natural disasters to enhance the competitive ability and increase the profits of those listed companies,thereby keeping the sustainable development of agri- cultural companies.

Is China's agricultural enterprise growing steadily?Evidence from listed agricultural companies

Agricultural enterprises are integral for agricultural modernization,serving as a bridge between scattered small-scale farmers and modern markets.However,agricultural competitiveness is still weak in China.This paper uses the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)method to measure the growth performance of China's listed agricultural companies and analyze its influencing factors based on Panel-Corrected Standard Errors(PCSE)to verify whether they are capable of achieving sustainable development.The findings confirm that first,listed Chinese agricultural companies have significantly increased profitability and scale in recent years but are still weak compared to other industries.The growth performance of such enterprises is generally stable,the difference between them is decreasing,and their growth ranking fluctuates greatly,with significant regional and industrial characteristics.Second,technological efficiency,scale,and age are positively related to the growth of listed agricultural companies.The diversification and expansion of business harm the profitability and development of enterprises.Currently,financial support can satisfy the short-term profit-seeking demands of enterprises but is inadequate to improve the ability of enterprises to grow.Third,China's listed agricultural companies need to devise policies through a forward-looking perspective and use them more effectively.Additionally,the transformation opportunities introduced by non agricultural capital into agriculture deserve attention.When agricultural enterprises realize technological progress via modern capital,they understand the importance of utilizing and integrating technological innovation and increase the efficiency of transforming new technology into productivity.Policy orientation should be attentive to the public welfare of these listed companies and take into account the demands of corporate profits to realize the long-term sustainable development of enterprises and regions.

The analysis of capital structure of Chinese real estate listed companies

Capital structure is the basis for assessing the efficiency of enterprise financing activity. The rational capital structure could reduce the cost of capital and plays an important role in managing a company. Thus this paper, based on the real estate listed companies on Shenzhen and Shanghai stock markets, analyzes the factors which influence capital structure, such as profitability, size, collateral value of assets, growth, stockholder’s equity, concentration degree of control power, ownership attribute, and applied statistics tools used to help the real estate listed companies optimize the structure of capital.

Efficiency Analysis of Listed Power Companies Based on Malmquist Index

This paper improved the known study for technical progress in Malmquist productivity index calculating. In the method, all the possible movements for decision making units （DMUs） are listed, and the condition that several DMUs lie on the productivity frontier is analyzed. The dynamic efficiencies of Chinese listed power companies from 1997 to 2006 were evaluated. The empirical results indicate that the improved method is effective.

Performance Evaluation of China's Agricultural Listed Companies Based on DEA Model

In order to evaluate the performance of China's agricultural listed companies,we analyze the overall efficiency,pure technical efficiency and scale efficiency of China's agricultural listed companies on the basis of input-output data concerning 34 agricultural listed companies,using BCC model in data envelopment analysis ( DEA) model. Then we analyze input-output redundancy situation using the slack variable derived from the model. The results show that the overall efficiency of China's agricultural listed companies is good,and the gap in efficiency between sub-industries is small; there is significant difference in performance between listed companies engaged in the same sub-industry,and the reason for invalid DEA in companies within the industry is complex; total assets and asset-liability ratio are high,and the effective output is not fully realized. Finally corresponding recommendations are put forward for promoting the performance of agricultural listed companies as follows: strengthening brand awareness; promoting the level of production technology; adjusting the input structure; transforming the agricultural growth mode.

Study on Influencing Factors of Capital Structure of Energy Listed Companies

Based on the determinative factors school of capital structure theory, this paper uses the data of 35 Chinese energy listed companies from 2000 to 2003, and adopts multi-variable regression method to make an empirical study of the influencing factors of their capital structure. The results indicate that the factors of size, income volatility, and the concentration of owner’s equity have positive relation with the capital structure, while the relation between profit- ability and capital structure is negative. It is also found that the influencing of growth and secured asset on the capital structure are relatively insignificant.

Analysis on the Sustainable Development Capability of New Energy Listed Companies in China

From the aspects of profitability, debt paying ability, operational capacity, cash flow capacity, and innovation capacity, the sustainable development evaluation system of new energy listed companies in China was established, and then an empirical analysis was conducted. Finally, some policy suggestions were put forward. The empirical analysis shows that there are many problems in the sustainable development of new ener- gy listed companies in China.

The Relationship between Government Subsidies and Research & Development Investment of Chinese Agricultural Listed Companies

Based on the background of China's emerging and transitional market,government subsidies to enterprises are regarded as a " helping hand" of promoting economic structural adjustment. In this paper,using China's A-share agricultural listed companies from 2010 to 2015 as research samples,we discuss the influence of government subsidies on research and development( hereinafter referred to as R & D) investment,and the difference in the relationships between the two from the perspective of different nature of property rights. The results show that,on the whole,the increase in government subsidies does not promote the intensity of R & D investment of agricultural listed companies. And after distinguishing the nature of property rights,the results show that state-owned enterprises can get more government subsidies than private enterprises,and the increase in government subsidies boosts the increase in R & D investment in private enterprises,but there is a negative correlation between government subsidies and R & D investment of state-owned enterprises. This conclusion can broaden the research perspective of the influence factors of corporate R & D investment,and it is of practical significance to further clarify the role of government subsidies in R & D investment decisions of enterprises with different nature of property rights.

Coal price fluctuations and the impact on financial risk Evidence from China＇s coal listed companies

With the rise of coal price, the proportion of loss-making enterprises shows an upward trend in China＇s coal industry. This paper uses Altman Z-Score model to measure financial risk of 19 listed companies in the coal industry in A-share market from 1995 to 2007. Empirical results show that Year-Based price index of coal price has a negative correlation with the financial risk but has no significance, and coal chain price has a significant negative correlation with the financial risk. Further research indicates that enterprises increase bad investment, and a lot of debts caused by short-term rise in coal prices. The results also show that the financial risk in the coal industry declines with the rise of GDP growth rate and increases with the rise of inflation rate.

Study of Efficiency of Agricultural Listed Companies Based on DEA Model

As leading enterprises supporting the agricultural development,agricultural listed companies play a great role,thus the study on their operating efficiency will have a strong demonstration effect. Using the data envelopment analysis( DEA) model,the operating efficiency of 20 agricultural listed companies was compared and analyzed. The results indicated that the overall efficiency of the agricultural listed companies is low. In agricultural listed companies with low or moderate overall efficiency,some agricultural companies are affected by the pure technical efficiency or scale efficiency,while other companies are affected by both factors,and accompanied with the increasing or decreasing efficiency along with the scale. Through in-depth analysis,it concluded that nine companies affected by pure technical efficiency have different degree of input redundancy or output deficiency. On this basis,it came up with pertinent recommendations for improvement.

Annual risk reporting of listed companies in Malaysia

This study examines risk reporting in annual reports of Malaysian listed companies. The mandatory and voluntary disclosures of risk information are analyzed and the authors examine whether a relationship exists between company size, leverage, and industry type and risk disclosure levels. 150 listed companies from five industries are selected as sample. Content analysis and risk disclosure index of dichotomous measurement are used in data collection. Overall the results indicate that level of risk information disclosed in the annual reports is still minimal. OLS （Ordinary least squares） regression analysis indicates that the level of risk information disclosure is positively associated with size and not with leverage. However, a mixed result has been found for industry type; where only property industry shows a significant relationship with level of risk disclosure, and not for the other industries. This study contributes to financial reporting literature in relation to risk reporting, particularly the practice of Malaysian companies. Findings from this study are also useful to regulators and accounting standard setting body to assess the level of compliance to regulations and standards relating to risk reporting by these companies. More studies are required to further understand the importance of risk information disclosure, such as risk disclosure within specific industry, cross-country studies and usefulness of risk information disclosure from the stakeholders＇ perspectives.

Market value management＇s effects on listed companies

The reformation of equity-split on April 29th, 2005, has promoted market value management and created the necessary conditions for market value management. With the purpose of stabilizing and enhancing corporate market value and realizing stockholders＇ wealth maximization, the market value management becomes especially important for all listed companies. This paper begins with the general introduction of market value management including its definition, contents and performance evaluation systems, appraises the best 10 market value management listed companies during 2007-2008. Then analyzes the benefits of the market value management on the Guizhou Maotai which has gained great achievements on market value management, and finally draw conclusions about market value management＇s general effects on listed companies.

An Empirical Analysis on the Prediction of Chinese Financially Distressed Listed Companies

This paper presents an in-depth analysis of financially distressed listed companies in China between 1998 and 2002. We compare the predictive power of multiple discriminant analysis （MDA）, logistic regression, and neural network models. We design and implement 126 different forecasting models using different predictive methods, different sample proportions, and different initial independent variables. The aim is to determine which model（s） and variables are best applicable for the short-term prediction of financial distress in China. We find that logistic regression models are superior to multiple discriminant analysis models in terms of prediction accuracy rate, restriction of sample distribution or prediction cost, but the neural network models show promise in their low Type I and Type II errors. The paper also inherently tests the applicability of variables traditionally used for bankruptcy prediction to the purpose of financial distress prediction in China.

Analysis of Pecking Order Theory on Chinese Listed Companies

This study tests the order of firms’financing choices based on a sample consists of 150 Chinese listed companies.And it indicates that China’s listed companies did not follow the theoretical‘Pecking Order’(Myers,1984),but a‘new order’—internal fund,equity,and debt—to make their financial choices.This is because firm’s gearing ratio and solvency did not show a high degree of correlation in China’s capital market,which leads to the preference of using equity.Besides,there are some other reasons:low cost of issuing equity,ineffective financial management,immaturity of capital market,not well developed bond market,and lack of an effective credit rating system。

Research on the Influence of Business Convergence of Listed Tourism Companies on Enterprise Performance

Studying the impact of business convergence on enterprise performance can provide empirical basis for enterprises to formulate the integrated development strategy.The business convergence degree of 28 listed tourism companies was measured by Herfindahl index,and the impact of business convergence on business performance and the moderating effect of enterprise innovation ability were discussed.The results showed that the business convergence level of listed tourism companies varied greatly.Business convergence had a significant positive impact on short-term profitability of tourism enterprises,and a significant negative impact on the growth of enterprises.Innovation ability had a positive moderating effect on the impact of business convergence on enterprise profitability,but had no significant moderating effect on the impact of business convergence on enterprise growth.The results suggest that at the present stage,the business convergence of listed tourism companies is helpful to improve the profitability of enterprises in the short term,but it does not significantly promote the long-term growth of enterprises.

Effect Study of Management Buyouts of Chinese Listed Companies ——On the Basis of the Company Financial Indexes

This paper selects 11 Chinese listed companies as the sample and compares the effect of premanagement buyouts and post-management buyouts （hereafter MBO）. The authors evaluate the effects of MBO according to the change of earnings capacity, management ability, debt paying ability, development ability and capital structure. The result shows that the obvious change does not take place in earnings capacity of the company and management ability, but the development ability of the company improves notably, and most of companies have taken advantage of financial leverage withir two years of post-MBO.

Factors Influencing the Voluntary Disclosure of Vietnamese Listed Companies

This paper aims to investigate the factors affecting the extent of voluntary disclosure by examining the annual reports of 205 industrial and manufacturing companies listing on Ho Chi Minh Stock Exchange （HSX） and Hanoi Stock Exchange （HNX） for the year of 2012. Those factors include company size, profitability, leverage, state ownership, managerial ownership, and foreign ownership, board independence, role duality, and type of external auditors. Evidence from this study suggests two main findings： （1） Companies with high foreign ownership have a high level of voluntary disclosure; （2） The company size is an important factor related to the increased level of voluntary disclosure in annual reports of Vietnamese listed companies. However, no significant associations are found between profitability, leverage, state ownership, managerial ownership, board independence, role duality, and type of external auditors as hypothesized in this study.

Board Characterstics and Capital Structure： An Empirical Study on China＇s Private Listed Companies

Board of directors is one of the important parts of the corporate internal governance mechanism. Using panel data from 144 China＇s private listed companies during 2001-2003, this paper empirically studies the relationship between board characteristics and capital structure with the methods of pooled OLS, first-order difference model and fixed ,effect model.