Microsoft Word - 001.docx CHEMICAL ENGINEERING TRANSACTIONS VOL. 66, 2018 A publication of The Italian Association of Chemical Engineering Online at www.aidic.it/cet Guest Editors: Songying Zhao, Yougang Sun, Ye Zhou Copyright © 2018, AIDIC Servizi S.r.l. ISBN 978-88-95608-63-1; ISSN 2283-9216 Study on the Model of Low-Carbon Sustainable Development of Chemical Enterprises Juan Tang Hunan Mechanical and Electrical Polyetchnic, Changsha 410105, China 23114128@qq.com This paper conducts an in-depth study on the analysis model of low-carbon sustainable development in the production process of small and medium-sized chemical companies in China. First, this paper defines the concept of sustainable development, reasonably describes main methods and the model, clarifies the characteristics and existing problems of the small and medium-sized chemical companies at the current stage, establishes correlators of the important concepts used in the research, applies the dissipative structure theory to screen some financial indicators of sustainable development ability, and carries out an actual investigation to conduct in-depth analysis. The results show that: China's small and medium-sized chemical companies have not yet reached a sustainable development status; the main factors constraining the sustainable development of chemical companies are corporate profitability deviations, the companies have low enthusiasm in capital operation and poor corporate internal management mechanisms; by argument, this paper gives main approaches for the development of small and medium-sized chemical companies, ensuring the companies are competitive enough. 1. Introduction The chemical industry plays a decisive role in the development of the country's economy and relates to the lifeblood of the country’s economic development (Vezenov et al., 1997). There are numerous small and medium-sized companies in the chemical industry in China, accounting for 96% of the total number of enterprises, and their contributed output value in the economic development exceeds 91%. However, there are many problems in the development of small and medium-sized chemical companies in China, such as low technology level, poor management level, old-fashioned development mode, and large amount of pollutants (Soukoulis and Wegener, 2011). These problems have seriously hampered the sustainable development of China's small and medium-sized chemical companies. In September 2017, the 13th Five-Year Plan for Growth of Small and Medium-Sized Enterprises published by the Ministry of Industry and Information Technology of China made an important summary of the development of Small and Medium-Sized Enterprises (SMEs) in China. According to the statistical data in the Plan, China's small and medium-sized chemical companies have exceeded 12 million, accounting for more than 97% of China's enterprises. These companies contributed 54.5% of GDP, 53.2% of taxes, and 66.6% of exports (Kruglov et al., 1992). The economy in our country has recently undergone structural adjustments and the economic growth has slowed down. Therefore, it is urgent to find new economic growth points (Ohayon and Soize, 2012). The chemical industry is related to the national economy and the people's livelihood. It is the top priority for China's economic development. Therefore, it is necessary to continuously strengthen the development of chemical companies, expand development modes, and find new economic growth points (Feistl et al., 2014). However, under this background, the development mode of China's small and medium- sized chemical companies still has not changed, it still follows the previous development mode. It is difficult to break through the bottleneck, and the serious pollution is restricting the development of China's economy (Feistl et al., 2014). The development of chemical companies is difficult and the development costs are increasing (Pohlmann and Tributsch, 1993). These problems have seriously affected the sustainable development of China's SMEs. Governments at all levels and scientific research institutes continue their efforts to find a new way that is conducive to the development of enterprises. DOI: 10.3303/CET1866234 Please cite this article as: Tang J., 2018, Study on the model of low-carbon sustainable development of chemical enterprises, Chemical Engineering Transactions, 66, 1399-1404 DOI:10.3303/CET1866234 1399 The paper first clearly defines the scale of small and medium-sized chemical companies, conducts in-depth research on various issues encountered in the low-carbon sustainable development of China's small and medium-sized chemical companies, and adopts the dissipative structure theory to build a model for evaluating the sustainability of small and medium-sized chemical companies. After that, this paper takes the Brusselator as the analysis criteria, combines with a number of listed small and medium-sized chemical companies to conduct case studies, and then verifies the rationality of the model, provides solutions to a series of existing problems, and puts forward specific recommendations and measures to ensure the low-carbon sustainable development of China's chemical companies. 2. Construction of evaluation indicator system 2.1 Selection methods for financial indicators Combining with the basic methods of extenics principles, we can identify the matter-elements of sustainable development abilities and concretize the chemical companies' low-carbon sustainable development abilities (Chabrier and Baraffe, 2000). The target matter-element is: ))(,,( xxx cvCNR  (1) In the formula: R – target matter-element; Nx – company to-be-evaluated x (x=1,2, 3, ..., n); Cx – basic indicator that influences the company’s sustainable development ability; V(Cx) –degree of influence of a financial indicator on the development of a company. Specific steps of extension identification are as follows: The first step, the determination of the matter-element model, orders:                             nnnnn bac bac bacN Vc Vc VcN VCNR 00 02022 010110 0 022 0110 00 , , , , , ),,(  (2) Where, c1, c2, ... cn are n different features of N0, and V01, V02, ... V0n are ranges of values taken by N0 for c1, c2, ... cn, respectively, namely the classical domain. And there is V01= (i=1,2...n). Orders:                                 pnpnn pp pp pnn p p pp bac bac bacN Vc Vc VcN VCNR , , , , , ),,( 222 111 22 11  (3) Where, V01, V02, ... V0n are the ranges of the values taken by c1, c2, ... cn, respectively, namely the joint domain of N. Marks as: )2,1(, nibaR pipi  (4) For the object N to be identified, the measurement result is represented by the following matter-element: 1400              nn Vc Vc VcN VCNR , ),,( 22 11 0  (5) The second step, based on the definition of distance, establishes the correlation function and calculates the value of the correlation function. The correlation function value is calculated according to the following correlation function:            ii iiii ii iiiiiiii i ii ii VV VVVV VV VVVVVVVV V VV VK 0 0 0 000 0 0 ),(-),( ),( ),(,),(, ),( )( ， ，且，且       (6) 2.2 Selection of financial indicators of chemical companies The paper builds an evaluation model for the sustainable development ability of small and medium-sized chemical companies in China. Therefore, this paper mainly selects chemical companies listed in the domestic chemical stocks of the Shanghai and Shenzhen stock markets as research groups, and determines the primary indicators of the research samples (Klein et al. 2001). Table 1: Research sample summary table Code Name Code Name SH600747 Sopo SH600726 Jacques ST SH600635 Three love rich SH600359 Swords stock SH600377 Joint-stock shares SH600470 Le Tong shares SH600092 ST Ming Department SH600221 Rainbow refinement SH600265 De Federation group SH600289 Medium - nuclear titanium white SZ002653 Zan Yu ST SZ002654 Annada 2.3 Selection of non-financial indicators of chemical companies In the selection of non-financial indicators, the paper has found 32 subjects to conduct interviews. The level of education and age of the subjects are shown in Table 2 (Sharma and Ruckenstein, 1986). Table 2: Survey and age distribution table for interviewees Educational background distribution Education Undergraduate Master Doctor Number of people 15 10 7 Percentage 47 31% 22% Age distribution Age 20~30 30~40 40~50 50~60 Number of people 3 10 13 6 Percentage 9% 31% 41% 19% Table 3: Non financial indicators for sustainable development capacity HSE management ability Level of safety management Technical personnel ratio Environmental friendliness R & D capability Undergraduate and above staff ratio Ratio of R & D input to operating income Social responsibility Absorb the number of employment Corporate reputation 1401 Chemical companies need to have a high level of science and technology. The R&D ability in the enterprise is crucial to the development of the company. At the same time, most small and medium-sized chemical companies are limited by the size of the industry, and it is difficult for them to implement diversified production. In product production, they often concentrate their strength on the breakthrough of a single aspect and expect to occupy a relatively larger market share. All enterprise exists in the society, which is a large group, and this requires that these companies must have a sense of community and mission. It is no exception for small and medium-sized chemical companies. While developing, they will inevitably take responsibilities for social development and contribute to social progress as well. 3. Analysis of enterprise sustainable development ability 3.1 Analysis model of enterprise development ability based on dissipative structure theory According to the dissipative structure theory, open development is a precondition for achieving system ordering and a prerequisite for the formation, maintenance and development of the entire dissipative structure system (Miehls et al., 2009). Through the open development and the introduction of negative entropy flow from the outside, the internal positive entropy is offset and the system is transformed into a higher order form (Chen et al 1994). Combining this model to select statistical data (Li et al., 1999), the obtained data processing results are shown in Table 4. Table 4: Dissipative structure model for sustainable development capacity of small and medium sized chemical enterprises Positive entropy Enterprise structure entropy Speed ratio Negative entropy Direct environmental entropy net asset value per share Asset liability ratio Technical personnel ratio Equity Turnover Undergraduate and above staff ratio Intrinsic ability entropy Net profit of total assets Indirect environmental entropy Level of safety management Growth rate of main business income Corporate reputation Enterprise growth entropy Total asset growth rate Net profit growth rate In this paper, we choose the interval entropy method to determine the weight, and the calculation steps of the interval entropy method are as follows: minmax max xx xx X i ij    (7) minmax min xx xx X i ij    (8) Where, xij is the normalized value, it is the normalized value of xi, xmin is the minimum value of this indicator data, and xmax is the maximum value of this indicator data. (1) According to the positive entropy indicator, the proportion of each indicator in Table 4 is calculated as: )132,1( 33 1 m ax      i x xx f j ij i aij (2) Set Hj as the entropy value of the j-th positive entropy indicator, there is: 1402 33ln 1 ln 33 1     k ffkH aij j aijai (3) The weight of the j-th negative entropy indicator is:      33 1 )1/(1 )1/(1 j bj bj bj H H w According to the above steps, the entropy values of each indicator and the calculation results of the weights are shown as Table 5. Table 5: Entropy value and weight table index Entropy weight Positive entropy 0.88742 Enterprise structure entropy Motion ratio 0.77637 0.27651 Asset liability ratio 0.96145 0.04148 Intrinsic ability entropy Net profit of total assets 0.97062 0.03621 Growth rate of main business income 0.97338 0.03276 Enterprise growth entropy Earnings per share 0.96303 0.04553 Net cash flow of per share investment activity 0.97577 0.16438 Negative entropy 1.53504 Direct environmental entropy Technical personnel ratio 1.55006 0.12932 Undergraduate and above staff ratio 1.49591 0.11661 Indirect environmental entropy Level of safety management 1.57771 0.13583 Corporate reputation 1.48048 0.12851 Based on the above information, we can see that China's small and medium-sized chemical companies have not yet reached a sustainable development status. Summarizing all kinds of situations, we can know that, the core issues that have caused slow low-carbon sustainable development of China's small and medium-sized chemical companies include following aspects: SMEs generally have poor corporate profits, most of them are slow in develop speed, underwent free develop, or separated from the capital market, they invested less in research and development of innovative products, did not pay enough attention to the introduction of talents, their lack of environmental protection awareness led to great pollution, and their corporate credibility was low. The conclusions obtained from the research results of this paper have certain reference value for the development of small and medium-sized chemical companies. The obtained results reflected the greater applicability of the evaluation model adopted by the research, and reflected the actual situation faced by the companies. Combined with the research conclusions of this paper, for various types of subjective and objective factors that affect the low-carbon sustainable development of China's small and medium-sized chemical companies, companies should improve their profitability, improve their growth speed, actively and steadily make use of the capital market, and enhance their R&D abilities, pay attention to human resources, increase investment in environmental protection, and improve corporate reputation, etc., so as to achieve low-carbon sustainable development of enterprises. 4. Conclusion The paper first sorted out current corporate sustainable development ability evaluation systems, and then analyzed low-carbon sustainable development of small and medium-sized chemical companies based on the dissipative structure theory and used quantitative analysis methods such as extension technology, entropy method, and Brusselator. Three conclusions are mainly obtained as follows: (1) The paper adopted the extension technology to screen the key financial indicators, and then constructed the evaluation standard model of low-carbon sustainable development ability of small and medium-sized chemical companies through the dissipative structure theory. A comparative analysis of the data of a number 1403 of small and medium-sized chemical companies listed on the Shanghai and Shenzhen stock markets was conducted. Finally, through the analysis results, it pointed out that the overall development level of China's small and medium-sized chemical companies has not yet reached the standard of low-carbon sustainable development. (2) During the analysis of the empirical test, this paper found that the comprehensive performance of small and medium-sized chemical companies in China is not ideal enough in eight evaluation indicators. These indicators have become obstacles to the development of SMEs in China, mainly including the following aspects: poor profitability, low capital operation speed, poor management, and lack of development motivation. (3) In response to the factors constraining the sustainable development of China's small and medium-sized chemical companies, this paper has proposed solutions to promote the low-carbon sustainable development of China's SMEs, mainly including the following seven aspects: improve corporate profitability, accelerate corporate growth, make use of capital market bonus to promote development, increase R&D investment, actively introduce talents, reduce corporate emissions, enhance quality and emphasize business integrity, so as to achieve the goal of low-carbon sustainable development of the company. 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