Development Of Green Industry Research Articles

The Role of Green Finance in Community Renewable Energy Projects of main Region and Taiwan

In order to achieve the goal of "non-nuclear homeland and realize the policy target that renewable energy accounts for 20% of power generation, the Taiwan government has actively promoted the integration of energy generation. Many small and medium-sized enterprises or start-up companies are faced with the challenge of financing their business expansion. This paper adopted document analysis method to seek more diversified financing channels compared with traditional ways of financing and lending from financial institutions, the combination of fintech and the power of the masses, such as crowdfunding, has become one of the emerging financial instruments for the development of green energy industry. Finally, the empirical result is compared main region about the community renewable energy projects and realized how to obtain renewable energy resources through new financing source. The study will be providing related reference to decision-making of country which plan to develop renewable energy projects.

Temporal-Spatial Evolution and Driving Factors of the Green Total Factor Productivity of China’s Central Plains Urban Agglomeration

As China’s largest urban agglomeration with rapid growth of economy and population, the development of the Central Plains Urban Agglomeration (CPUA) has been severely restricted by environmental problems. Thus, the green development performance of the CPUA is worth studying. This study used the panel data of 29 cities in the CPUA from 2003 to 2018 based on the Slacks-based Measure and Global Malmquist–Luenberger index to measure the green total factor productivity (GTFP) and its decomposition index of each city. A spatial econometric model was developed to explore the factors affecting the GTFP of the CPUA. The results show that the GTFP of the CPUA had an upward trend in 2003–2018, but the productivity level was still low. There were significant spillover effect in the GTFP among different cities of the CPUA. The results of the spatial measurement model show that technological progress, industrial structure and solid waste environmental regulationhave a significant positive spillover effect on the GTFP. The, fiscal expenditure, and informatization level also have positive impacts on the GTFP. In the future, local government should provide technical and financial support for the development of green industries in the CPUA, and accelerate the construction of environmental protection infrastructures.

Spatial–temporal distribution of air-pollution-intensive industries and its social-economic driving mechanism in Zhejiang Province, China: a framework of spatial econometric analysis

The distribution of pollution-intensive industries is a serious challenge to environmental governance of China during the transition period. However, existing studies lack the attention to the distribution and driving factors of air-pollution-intensive industries (APIIs). Therefore, based on geospatial analysis and spatial measurement models, this study explored the spatial distribution of APIIs and their socioeconomic driving factors in Zhejiang Province from 2006 to 2018. The results show that (1) the output value of APIIs in Zhejiang showed a trend of first increasing and then slowly decreasing, indicating the industry structure has a tendency toward improvement; (2) the spatial agglomeration of APIIs in Zhejiang Province has a positive spatial correlation (significant at least at the level of 10%), and the main agglomeration areas are located in cities around Hangzhou Bay, but the overall level of agglomeration is decreasing and shows a certain diffusion trend. (3) APIIs in Zhejiang Province have significant industry differences. Industries with a high degree of concentration are mainly petroleum processing, coking, nuclear fuel processing, chemical fiber manufacturing and textile, all with the Gini coefficient exceeding 0.5. (4) The improvement of labor force, capital investment, international trade level and infrastructure level will aggravate the distribution of APIIs, while technological innovation, environmental regulation and foreign investment can effectively suppress and reduce the output value of regional APIIs. In particular, for every 1% increase in technological innovation, the output value of APIIs will decrease by 0.113%, and it will also have a significant reduction effect on neighboring cities. In the future, Zhejiang needs to fully rely on technological innovation capabilities to drive the development of green industries and the upgrading of traditional manufacturing industries.

Spatial Analysis of Industrial Green Development and Sustainable Cities in the Yellow River Basin

The Yellow River Basin (YRB) is an important ecological defense and economic zone in China and occupies a very important position in the economy and society of China. Premise condition of ecological protection and development of high quality in YRB is the greening of the industry. Based on the data of 35 cities in YRB in 2012, 2015, and 2018, this paper constructs an evaluation index system for the industrial green development (IGD) and explores spatial differentiation characteristics of the IGD by the exploratory spatial data analysis (ESDA) method. On this basis, this paper uses the geographical weighted regression (GWR) model to analyze the influencing factors. The results indicate the following: (1) in general, IGD in YRB shows an upward trend. (2) The Global Moran’s I index of IGD shows a small increase; the distribution of local spatial correlation is basically unchanged. (3) There are obvious regional differences in the influencing factors of IGD. The degree of influence of each factor on IGD is openness > industrial upgrading index > urbanization rate > science and technology expenditures > reduction rate of energy consumption.

Analysis of China's Industrial Green Development Efficiency and Driving Factors: Research Based on MGWR.

With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based measure (SBM) model is adopted to measure the industrial green development efficiency (IGDE) of 289 cities in China from 2008 to 2018. Moreover, we analyze their spatiotemporal differentiation pattern. On this basis, the multiscale geographical weighted regression (MGWR) model is used to analyze the scale differences and spatial differences of the driving factors. The results show that the IGDE is still at a low level in China. From 2008 to 2018, the overall polarization of IGDE was relatively serious. The number of high- and low-efficiency cities increased, while that of medium-efficiency cities greatly decreased. Secondly, the IGDE presented an obvious spatial positive correlation. MGWR regression results show that the technological innovation, government regulation, and consumption level belonged to the global scale, and there was almost no spatial heterogeneity. Other driving factors were urbanization, industrial structure, economic development, and population density according to their spatial scale. Lastly, the influence of economic development and technological innovation had a certain circular structure in space; the influence of population size mainly occurred in the cities of the southeast coast and northeast provinces; the influence of urbanization was more obvious in the most northern provinces of the Yangtze River, while that of industrial structure was mainly concentrated in the most southern cities of the Yangtze River Economic Belt (YREB). Spatially, the influence of consumption was manifested as a distribution trend of decreasing from north to south, and the government regulation was manifested as increasing from west to east and then to northeast.

A new model for developing sustainable green industries: A case study of Mashhad, Iran

The industrial sector is one of the major sources of environmental pollution. Industrial processes can generate many types of pollution including water pollution, soil pollution, air pollution, and noise pollution. With the expansion of industrial towns across Iran, this country has seen an increase in the amount of industrial pollutants. To tackle this issue, it is necessary to identify the factors that affect the development of green industries. This study aimed to identify and model the factors that influence the development of green industries and determine government policies and regulations that could be effective in reducing industrial pollution. First, the existing literature was reviewed, and 45 factors that can potentially affect the development of green industries were identified. Then the subject was further explored by designing and distributing a questionnaire with focus on a specific case, which was Mashhad industrial zone. The software SmartPLS was used to evaluate the fit of the developed model and then the structural equation modeling technique was employed to construct a model for the influential factors. The results showed that among the studied variables, seven variables have a significant impact on the development of green industries. The factor with the greatest effect on the development of green industries was found to be the “current situation of the industry,” followed by “government incentives,” “managerial commitment,” “market for green products,” “competition strategies,” “government oversight,” and “political affairs,” respectively.

Technological innovation, market proximity, and China's industrial green development

Technological innovation, market proximity, and China's industrial green development

Evaluation index system design and coordinated development analysis for the industrial green development system and regional non-waste system in the Yangtze River Economic Zone.

Based on the research background of the new economic norm and the construction of "non-waste city" in China, this paper studies the coordinated development between the industrial green development system and the regional "non-waste" system of the Yangtze River Economic Zone. First, using the data from 11 provinces from 2013 to 2017 as samples, the comprehensive evaluation index systems for the industrial green development system and the regional "non-waste" system are constructed, respectively. Then, considering the multi-source heterogeneous characteristics of the evaluation index data, the two-tuple linguistic entropy weight method, and gray relational analysis method are applied to filter the evaluation indexes and determine the index weights respectively. Third, combined with the dynamic TOPSIS idea, a new improved coupling coordination degree model is proposed to study the coordination development between the two systems. Finally, an empirical analysis is made, and the result shows that the overall degree of coupling coordination of the two systems shows a fluctuating upward trend. Moreover, the provinces are mainly low-level coupling coordination, and the factors that are hindered in various regions are different.

Separation of n-heptane and tert-butanol by ionic liquids based on COSMO-SAC model

In the process of liquid–liquid extraction, it is necessary to look for green solvents as extractants. Ionic liquids have been studied as extractants due to their green recyclability in recent years. The infinite dilution activity coefficients of 100 ionic liquids with a combination of 10 cations and 10 anions were calculated by COSMO-SAC model, and the σ-profiles were plotted. The distribution coefficient and separation coefficient of n-heptane + tert-butanol + ILs were determined. [OMIM][OTF], [HMIM][OTF] and [BMIM][OTF] were selected as solvents for this study. The interaction energy, bond length and charge density of ionic liquids with tert-butanol were calculated by quantum chemistry calculation method. According to these results, the rationality of selected ionic liquids as extractants could be analyzed from the molecular level. At 298.15 K and 101.325 kPa, the liquid–liquid equilibrium data of the ternary system {n-heptane + tert-butanol + [OMIM][OTF], n-heptane + tert-butanol + [BMIM][OTF], n-heptane + tert-butanol + [HMIM][OTF]}) were measured. The distribution coefficient and separation coefficient for judging the extraction effect were obtained. The NRTL model was used to correlate liquid–liquid equilibrium experimental data, and correlation result proved that the correlated and experimental data had a good correlation. The research on ionic liquids is of great significance to the development of green and sustainable chemical industry.

Green aviation industry sustainable development towards an integrated support system

AbstractSustainable development is becoming increasingly crucial for the green aviation industry. To promote the sustainable development of the green aviation industry, researchers all over the world have attempted to explore and experiment with new initiatives. This study investigates green aviation industry development trends by a bibliometric‐based data analysis system. Cluster, timezone, and timeline visualizations are employed to identify the current development trends of the green aviation industry within three topics: noise, environmental impacts, and green image. In response to environmental challenges, an integrated green aviation industry support system that involves stakeholder engagement should be established, including business strategies, innovative technologies, environmental policies, and public support. In this study, the innovation and sustainability potential of the green aviation industry is evaluated. Then, the roles of strategy improvement, technology integration, policy support, and public participation in forming the integrated support system are examined. The outline of this system may prove helpful for the sustainable development of the green aviation industry.

Output and welfare effect of green credit in China: Evidence from an estimated DSGE model

In China, green credit aims to guide the flow of credit funds by regulating the quantity and price of credit, so as to support the development of green industries and curb the emission behavior of polluting enterprises. Based on the behavior of microeconomic entities we construct a Dynamic Stochastic Genernal Equilibrium (DSGE) model to analyze the output and welfare effect of green credit in China. Specifically, the incentive green credit is taken as an example to carry out an empirical study, and we further quantitatively measure the output and welfare effect of green credit under different environmental regulations. We find that both price-based and quantity-based green credit have obvious output, environment, health and utility welfare effect, which is conducive to the green upgrading of industrial structure and can achieve a win-win situation of output and environment in China. However, there are some differences in transmission mechanism and utility welfare. In addition, in the short term, the environmental tax regulation inhibits the economic expansion effect of green credit, and in the long term, this inhibitory effect gradually disappears. The DSGE comprehensive evaluation framework constructed in this paper expands the application scope of DSGE model, and provides a quantitative theoretical model for the mechanism analysis of China’s green credit policy and similar policies. Furthermore this study provides theoretical and quantitative basis for the formulation of green credit policies and the improvement of macro-control policies in China.

Research on the Implementation Effect of Green Finance Based on Grey Relational Model

The development of green finance in China is still in its initial stage, and there is little research on the implementation effect of green finance. In this paper, using grey relational model, the green credit balances of 21 major domestic banks from 2013 to 2017 are selected to reflect the capital investment of green finance, while the net profit of listed banks reflects the development of financial industry and the net profit of environmental protection enterprises reflects the development of green industry. The results show that the green credit balance has a higher grey correlation with listed banks but it has a higher correlation with environmental protection enterprises, which proves that the implementation of green finance can promote the development of financial industry and green industry, but it can promote green industry even more.

Geopolymer concrete durability subjected to aggressive environments – A review of influence factors and comparison with ordinary Portland cement

Although ordinary Portland cement (OPC) is the main raw material of concrete, its production pollutes the atmosphere and wastes a large amount of energy, which does not meet the demands of the green building industry development. Geopolymers have received considerable attention and expected to become a substitute for OPC. However, the geopolymer concrete has limited literature of durability subjected to aggressive environments, and which is the basis for the prediction of long-term performance and broader engineering applications. This paper reviews the recent researches on geopolymer concrete exposed to carbonation, acid corrosion, sulfate solution, heat temperature, and chloride penetration comparison with OPC concrete. In many cases, the durability of geopolymer concrete is better than OPC concrete, and calcium content has a great effect on the durability mechanism. The influence factors and interactions of durability of geopolymer concrete have been highlight. Finally, a few potential opportunities and noteworthy challenges have been suggested for future studies on durability during life-cycle periods.

Evaluation of industrial green development and industrial green competitiveness: Evidence from Chinese urban agglomerations

Urban agglomerations are important regional economic units. Industrial green development and green competitiveness are of great significance to the sustainable development of urban agglomerations. This study, for the first time, uses the Entropy TOPSIS model and Theil index to reveal differences between industrial green development in China’s three major urban agglomerations. Factor and hierarchical clustering analysis is also used to evaluate and compare industrial green competitiveness in these agglomerations. Four important findings arise from the analysis. First, industrial green development is highest in Pearl River Delta, followed by Beijing-Tianjin-Hebei, and lowest in Yangtze River Delta. Beijing, Shanghai and Shenzhen have the highest industrial green development level. Second, the variation in green development is smallest between Beijing-Tianjin-Hebei and Yangtze River Delta. Cities in the Beijing-Tianjin-Hebei have more balanced industrial green development than the other two urban agglomerations. Third, industrial green competitiveness is highest in Pearl River Delta. It is superior to the Yangtze River Delta and Beijing-Tianjin-Hebei in industrial green growth competitiveness and resource and environmental pressure competitiveness. Finally, after classifying 45 major cities of urban agglomerations into four echelons by industrial green competitiveness, we find that only Beijing and Shenzhen are in the highest echelon. Shanghai and Guangzhou are in the second echelon, and Hefei, Tianjin, Hangzhou, Suzhou and Zhuhai are in the third echelon. These findings have important policy implications and we offer recommendations based on the findings.

Techno-economic studies of an industrial biogas plant to be implemented at Kumasi Abattoir in Ghana

Kumasi Abattoir is one of Ghana's largest slaughterhouses. The Abattoir is a state-owned facility and its main activity is the slaughtering of cattle, goats, sheep and pigs. Production takes place 7 days per week, 8 hours per day. The Government of Ghana has planned to construct a pilot industrial biogas plant at the Abattoir to support them manage the waste generated, but to a large extent, support green industrial development and business promotion in Ghana. This study assesses the technical and financial aspects of the pilot biogas project with a focus on the technical solutions for biogas production from the waste, scenarios analyses for the gas usage and financial analysis of selected scenarios. Desk studies, studies of the abattoir slaughter operations, waste fractions, energy consumption patterns and projected energy demand as well as energy efficiency measures were all studied. Analysis of the financial data, namely; electricity bills of the abattoir, liquefied petroleum gas (LPG) and diesel consumption costs and abattoir staff wages were also done. The main wastes generated at the abattoir are solid waste and wastewater. The solid waste concerns mainly solid rumen content and dung, with a total quantity of about 8 tons per day. This waste is currently disposed off at a nearby landfill. The wastewater mainly consists of flushing water, blood and liquid rumen content, with a total quantity of some 170 tons per day. Wastewater is currently disposed in a stream that runs at the border of the abattoir premises, and this causes the most problems for the neighbouring communities. Total biogas potential of the combined waste components is estimated at 846 m3 per day. Energy demand at the abattoir concerns mainly electricity, LPG and diesel. Potential energy efficiency measures include repair of an existing power factor correction system, replacement of chillers, replacement of insulation of the cooling system, and replacement of the diesel backup generator. Full replacement of the abattoir energy and fuel consumption would require approximately 1448 m3 of biogas, which is 70% more than the total biogas potential of the abattoir. Even with energy efficiency measures, biogas demand would be in the order of 1250 m3/d. The abattoir uses LPG for singeing. Financial analyses show that singeing (substituting LPG) is financially the most attractive application for the biogas; the resulting gas value is 0.46 USD/m3. Using the gas for electricity production yields some 0.10–0.18 USD/kWh (depending on the scale); using it for diesel substitution yields some 0.35 USD/m3. Although sensitivity analysis shows that there are risk factors like elevated investment costs, reduced biogas output and shorter equipment lifetime, is recommended to proceed with the development of the biogas plant.

Evolutionary game analysis of green industry development in the age of sharing economy

ABSTRACT Sharing economy is also a kind of green economy in essence, which brings opportunities for the development of resource-sharing green industry. By constructing a general evolutionary game model of green industry, the evolutionary stability strategy of green industry system is obtained, and the internal mechanism of the spontaneous evolution of green industry is explained. Furthermore, by comparing the evolutionary game model and numerical simulation results of two green industry development models of factor input and resource sharing in the era of sharing economy, it is found that compared with the factor input development model, the resource-sharing development model is easier to realize the evolutionary game equilibrium between enterprises and consumers. Enriching government subsidies and strengthening consumer guide will help promote the development of resource-sharing green industry.

Does Eco-innovation Improve Green Total Factor Productivity of China’s Industry?

The improvement of industrial green TFP is crucial for the sustainability of economy and environment. And the eco-innovation directly improves the industrial green TFP. However, there are few studies on the relation between eco-innovation and industrial green TFP. Based on the relevant data from 2006-2015 of 30 provinces in China, using SBM model this study firstly evaluates the industrial green TFP of each province by measuring the desirable output and undesirable output. Then the eco-innovation is measured by patent application quantity and further divided into breakthrough and incremental innovation by patent quality. The results show that eco-innovation improves the development of green industry in China. The promotion from breakthrough innovation is prominent. However, the incremental innovation restrains the development of green industry in China.

An Exploration into Green-Tech Innovations Based on “Four Modernizations”

The world today is facing a new round of scientific, technological and industrial revolution, and all countries are seeking new development models that have a major role in driving and leading the economy and society. China is also addressing the imbalance between economic development and ecological environmental protection through innovation development of green technology and continuously strives for high-quality economic development. Exploring the integrated development mode of green technology innovation has great theoretical significance and practical value for enhancing the competitiveness of enterprises, promoting the transformation and transfer of green technologies, spurring the development of green “One Belt and One Road”, and driving the economic development and reform in quality, efficiency, and forces. This article sorts out the core elements and influencing factors of constructing a green technology innovation and integration development model, expounds the innovation ecological framework that supports the development of green industries from the four dimensions of industrialization, marketization, informatization, and internationalization, and builds an intermediary that promotes integrated development. The functional architecture proposes an informatization infrastructure that promotes the industrial ecology, and designs a model for the integration and development of international green technology innovation, is of momentous theoretical significance and practical value to improve the quality of the global green development.

Effects of corporate social responsibility activities in a two-stage assembly production system with multiple components and imperfect processes

Implementation of corporate social responsibility (CSR) activities has been shown to improve the financial performance of many firms, and the effects are particularly evident in original brand manufacturers (OBMs). This paper studies the effects of two common CSR activities (social donations and green industrial development) on a two-stage assembly production system with multiple components and imperfect processes under the assumption that demand depends on selling price and CSR impact. The proposed problem is formulated as an economic production quantity (EPQ) model aimed at profit maximization, in which the decision variables include the production run time of each process, expenditures on social donations, and green industrial development. Our results prove that an optimal solution exists, and that it is unique. An algorithm for the computation of the optimal solution is also provided. The efficacy of the proposed model is demonstrated via numerical modeling of a footwear OBM in Taiwan. Sensitivity analysis revealed a number of managerial insights. For example, the results obtained under CSR operations can be compared with those obtained under non-CSR operations (under various parameters settings) to determine an opportune moment for the execution of CSR.

Microalgae: A source of Bio-colours

Since past many years, manufacturing of artificial pigments has been immensely developing because of its growing use in lots of fields like foodstuff, diary, cosmetics, prescription drugs, paints etc. But their intake through numerous manners can be reason of unsafe results and numerous poisonous illness like cancer, allergic reactions, chronic diseases etc. Due to this, severe organic manner had been investigated which incorporates the extraction of bio-colours from microalgae, bacteria, fungal etc. Microalgae is taken into consideration as a giant supply for the manufacturing of bio-colours that not only presents big benefits in numerous fields but also, additionally produces some of pigments which can be applied in numerous industries. This paper emphasizes upon the different phylum of microalgae and the pigments produced from them. Extraction process of different pigments from six phylum has also been discussed in brief. At the end, the emphasis has been given upon the importance and benefits of bio colours in different industries. It has been concluded in this paper that different bio-colours from microalgae have high utility yet its usage is still in its earliest stages however in not so distant future and can be taken as an entryway for development of sustainable and green industry.