Development Of Green Industry Research Articles

Policy mixes and policy feedback: Implications for green industrial growth in the Swedish biofuels industry

Policymakers have increasingly voiced an ambition to combine the transition to a climate-neutral society with a “green” domestic industrial agenda. In recent years, innovation systems scholars have advanced the understanding of the evolution of industries around renewable energy technologies as well as the role of policy feedback (and indeed politics) surrounding the development of domestic green industrial development policies. To take a step towards combining these literature streams, the purpose of this paper is to investigate the role of policy mixes and policy feedback in the emergence of domestic green industries. This is achieved in the empirical case of biofuels in Sweden, and the findings show that policy feedback dynamics created difficulties in aligning the national policy mix with the technology and industrial developments in the country. The resulting political uncertainty predominantly hampered the scaling up of domestic production capacity, while R&D and import of biofuels instead could grow strong. Based on this empirical case, a process model is developed to explain the role of policy feedback in the development of domestic industries, thus demonstrating how the growth of domestic industries is driven by the interplay of policy effects and various feedback processes. The findings suggest that future research into the role of policies in “green” domestic industry growth should devote more attention to the dynamics driving the co-evolution of policy, technology and industry structures.

The Coupling Coordination between Digital Economy and Industrial Green High-Quality Development: Spatio-Temporal Characteristics, Differences and Convergence

The coupling coordination between the digital economy and industrial green high-quality development has become an inevitable choice to promote economic high-quality development in China. This paper conducts an empirical analysis of the coupling coordination degree between the digital economy and industrial green high-quality development via the entropy evaluation method, coupling coordination model, Dagum Gini coefficient and its decomposition, and β spatial convergence model, based on the spatial data of 31 provinces in China for a time period ranging from 2008 to 2020. The major research findings of this study are as follows: (1) the coupling coordination between the digital economy and industrial green high-quality development represents a whole steady-upward trend in China, with large regional differences. (2) There is a gradual decrease in the overall spatial difference of the coupling coordination, with the largest intra-regional difference in the eastern region, and significant inter-regional differences in the east-west, east-northeast, and east-central regions. Moreover, the hypervariable density serves as the major source of the regional differences. (3) There exists β Convergence for coupling coordination degrees of the whole country and the four regions. However, the spatial effects are different in different regions due to different influencing factors. Therefore, sufficient attention should be paid to the dynamic trend, the difference, and the imbalance of the coupling coordination degree between the digital economy and industrial green high-quality development. The research is of great significance for accurately implementing policies according to different levels of local resource endowments and economic development, and narrowing the regional differences of the coupling coordination between the digital economy and industrial green high-quality development.

Catalytic upgrading of cow manure pyrolysis vapors over zeolite/carbon composites prepared from coal gasification fine slag: High quality bio-oil obtaining and mechanism investigation

The resource utilization of solid waste not only reduces the environmental pollution, but also reduces the use of fossil energy. In this study, three low-cost zeolite/carbon composites, including Y-type zeolite/carbon, Beta zeolite/carbon and ZSM-5 zeolite/carbon, were prepared from coal gasification fine slag (CGFS), which were used for catalytic upgrading of pyrolysis vapors of cow manure (CM). The composition and distribution of products from the catalytic pyrolysis of CM over different types composites were explored, and the relationship between catalysts structure and product selectivity was clarified. The results show that different types of catalysts have virous effects on the composition and distribution of products due to different physiochemical structures such as pore size and acid site. Among them, ZSM-5 zeolite/carbon is more conducive to the formation of monocyclic aromatics due to its shape selective catalysis, Beta zeolite/carbon has relatively large pore size and has high selectivity for polycyclic aromatics, and Y-type zeolite/carbon is more conducive to the removal of nitrogen and oxygen-containing compounds. Moreover, vanillin, glucose and valine, which are the main components of lignin, cellulose and protein in CM were selected as model compounds to reveal the reaction mechanism of catalytic upgrading. The results of this study can provide reference and theoretical guidance for the comprehensive utilization of solid waste and the development of low-carbon green industry.

An aging giant at the center of global warming: Population dynamics and its effect on CO2 emissions in China

Revealing the complex correlation between population aging and CO2, and projecting their future dynamics are fundamentally necessary to inform effective policies toward a low-carbon and sustainable development in China. Differing from the existing studies, this study highlighted a quantitative investigation on the impact of aging on CO2 emissions across the different stages of regional development in China through a STIRPAT model based on balanced provincial panel data from 1995 to 2019, and projected the demographic change and CO2 emissions till 2050 by employing cohort model and scenario analysis. It is found that CO2 emissions in China has witnessed a significant growth during 1995–2019, and will exhibit an inverted U-shaped growth till 2050 with its peak appears between 2030 and 2040. Statistically, every 1% growth of aging population will cause a 0.62% increase in CO2 emissions in China. However, a big regional difference was also detected as aging contributed to CO2 reduction in the eastern region, but stimulated CO2 emissions in the central and western regions. Policy implications for achieving a low-carbon and aging-oriented sustainable development may include the integration of aging into the decision-making in industrial structure upgrading and CO2 emission reduction at both national and region levels, the promotion of further transition to low-carbon consumption and green products in the eastern region, and strengthening the deep fusion of aging-oriented industries with local resource and environmental endowment in the central and western regions such as the development of eco-agriculture and green pension industries.

Biocatalytic Synthesis Using Self-Assembled Polymeric Nano- and Microreactors.

Biocatalysis is increasingly being explored for the sustainable development of green industry. Though enzymes show great industrial potential with their high efficiency, specificity, and selectivity, they suffer from poor usability and stability under abiological conditions. To solve these problems, researchers have fabricated nano- and micro-sized biocatalytic reactors based on the self-assembly of various polymers, leading to highly stable, functional, and reusable biocatalytic systems. This Review highlights recent progress in self-assembled polymeric nano- and microreactors for biocatalytic synthesis, including polymersomes, reverse micelles, polymer emulsions, Pickering emulsions, and static emulsions. We categorize these reactors into monophasic and biphasic systems and discuss their structural characteristics and latest successes with representative examples. We also consider the challenges and potential solutions associated with the future development of this field.

Biocatalytic Synthesis Using Self‐Assembled Polymeric Nano‐ and Microreactors

AbstractBiocatalysis is increasingly being explored for the sustainable development of green industry. Though enzymes show great industrial potential with their high efficiency, specificity, and selectivity, they suffer from poor usability and stability under abiological conditions. To solve these problems, researchers have fabricated nano‐ and micro‐sized biocatalytic reactors based on the self‐assembly of various polymers, leading to highly stable, functional, and reusable biocatalytic systems. This Review highlights recent progress in self‐assembled polymeric nano‐ and microreactors for biocatalytic synthesis, including polymersomes, reverse micelles, polymer emulsions, Pickering emulsions, and static emulsions. We categorize these reactors into monophasic and biphasic systems and discuss their structural characteristics and latest successes with representative examples. We also consider the challenges and potential solutions associated with the future development of this field.

A review of the system of “daily continuous penalty” in China's environmental protection practice—From the perspective of law and economics

The daily continuous penalty (DCP) in China's environmental legislation is regularly refined to improve enterprises' pollution discharge compliance rates, develop methods for assuming legal environmental responsibility, and advance the sustainable development of environmental law. Analyses of actual implementation and illegal rebound rates reveal that DCP exerts a deterrent effect, supporting pollution control and emissions reduction that is beneficial for the development of green and low-carbon industries. Notably, this measure is found to be strong and effective in the early stage but weakens over time and has not yet reached the ideal optimal deterrent effect. Maximizing utility and minimizing cost requires the development of an optimal DCP that can be adjusted to applicable circumstances, expanding the scope of deterrence to consider offenders' income capacity for individualized deterrence. Other policy recommendations include limiting the amount of daily fine unit to prevent over-deterrence, introducing a compliance model that focuses on cooperative law enforcement, and establishing a second-order daily fine mechanism based on offenders' corrective reporting and misreporting costs.

Impact of Urban Mining on Energy Efficiency: Evidence from China

Achievement of carbon neutrality requires lowering energy consumption in China. However, only a few studies have focused on the impact of urban mining on the reduction in energy consumption, and the impact of urban mining on reducing energy consumption remains unclear. This study explored the impact of urban mining on energy efficiency by adopting the panel data of 281 prefecture-level cities in China between 2003 and 2016 using the difference-in-difference method, and tested the setting up of urban mining pilot bases on reducing urban energy consumption per unit of gross domestic product (GDP) and channel mechanisms. The empirical findings show that urban mining pilot bases have significantly reduced energy consumption per unit of GDP by 3.67%. The instrumental variable method was used to overcome endogenous problems of the empirical results and related robustness tests. The verification results of the impact mechanism show that urban mining reduces the energy consumption per unit of GDP through three channels: by improving the degree of urban marketization, enhancing the harmony between the government and the market, and increasing the abundance of factor markets. The heterogeneity analysis shows that urban mining has a significant reduction effect on energy consumption per unit of GDP in all four regions of China; however, the energy-saving effect in the northeast is higher than that in the other regions. This study provides an empirical test and policy insights for the contribution of urban mining pilot bases in promoting China’s development of green industry and circular economy. It also offers a new path for cities in developing countries to promote energy conservation and achieve urban sustainability via urban mining.

Research on Policy for Finance Supporting the Development of Green Industry—A Case Study of Chongqing in China

The Chinese government has put forward the national strategy of protecting the Yangtze River in 2016, deeply promoted the protection and restoration of the ecological environment of the Yangtze River. Chongqing being the last gateway of the ecological barrier in the upper reaches of the Yangtze River plays an important role in promoting the green development of the Yangtze River Economic Belt, because it is located in the hinterland of the Three Gorges Reservoir Area. This paper concludes firstly that SMEs in green industry face serious financing constraints, and there are some problems in the development of green industry and green finance by investigating on the spot the green industry enterprises and financial institutions in Chongqing. Then, it expounds the functional mechanism of financial policy on green industry development. Finally, based on the actual situation of Chongqing, this paper puts forward policy recommendations to promote the development of green industry, which may provide decision-making reference for other regions to formulate the policies on green industry development.

China's industrial green development and its influencing factors under the background of carbon neutrality.

To measure and analyze the evolution characteristics and influencing factors of China's industrial green development level is of great significance in achieving carbon neutrality goal. Based on the panel data from 2000 to 2018 of 30 provinces in China, this research uses the superslack-based measuring model and the Malmquist-Luenberger index to calculates China's industrial green total factor productivity and to describe its evolution characteristics using the kernel density function and moreover uses the Spatial Durbin model and the partial differential method to explores its main influencing factors. This study finds that China's overall industrial green development level is not high but shows an upward trend year by year; carbon emissions, fiscal decentralization, and urbanization are not conducive to improving the national industrial green development level, whereas economic development, foreign direct investment, industrial structure, and technological progress are positive contributors. At the same time, the level of economic development and technological progress have significant direct and spatial spillover effect. Our findings also provide some policy implications for improving China's industrial green development.

Bamboo and rattan: Nature-based solutions for sustainable development

Bamboo and rattan: Nature-based solutions for sustainable development

Can Green Finance Effectively Promote the Carbon Emission Reduction in “Local-Neighborhood” Areas?—Empirical Evidence from China

Carbon emission reduction is a systematic project requiring support from policy, capital, and technology in its promotion, which represents a greater need for green finance. Frontier research focuses on the impact of green finance on local CO2 emissions, but generally ignores its ripple impacts on carbon emission reduction in adjacent areas. Combining panel data from 30 Chinese provincial-level cities from 2004 to 2019, this study employs a spatial panel Durbin model to empirically test the ripple effect of green finance on carbon emission reduction in adjacent areas and further investigate the formation mechanism of the ripple effect. The results are as follows: (1) Green financial development has a significant inhibitory effect on local and neighboring CO2 emissions, which affirms the existence of the ripple effect of green finance. (2) Through formation mechanism analysis, it is found that the upgrading of an industrial structure has played a transmission role in the ripple effect of green finance. Finally, based on the empirical results, some suggestions are put forward from the perspectives of innovating green financial services and promoting the effective alignment of green financial development with carbon emission reduction targets and the deep integration of green finance and regional green industry development, so as to better develop the potential of green finance in the realization of the carbon reduction goals.

Energy-Saving and Low-Carbon Gear Blank Dimension Design Based on Business Compass

Sustainable blank dimension design is the key to the implementation of green industrial development. However, blank dimension design only considers the blank production factor of the blank dimension design stage, which cannot guarantee the blank production stage and the use stage’s overall goal. In this paper, based on the guiding thinking of a business compass, a low-carbon and low-energy consumption blank dimension optimization design model was proposed. Taking the process parameters of the production and the use of the blank as the variables, the grey wolf optimization algorithm was adopted to solve the problem. Taking the gear blanks dimension as an example, the optimized blank dimension is 98.6, compared with the standard blank dimension of 100, 105, the energy consumption is 95.7% and 93.1%, the carbon emission is 92.6% and 90.2%, and the material consumption is 96.5% and 87.5%, respectively. The sustainable blank dimension design has obvious advantages in terms of low energy consumption and low carbon, and it can save a lot of materials; it can also promote product sustainability.

Unemployment Problems and Countermeasures Caused by the Government's Air Pollution Control Policy: Taking Hebei Province as an Example

China has achieved tremendous economic development in the past 30 years. However, the extensive way of developing the economy has also caused a certain degree of environmental pollution, such as air pollution caused by coal burning, especially in the Beijing-Tianjin-Hebei region. To solve this problem, China has made a series of policies to tackle the severe air pollution in this region. Although those policies are effective, they have also led to some social problems. This phenomenon has caught the attention of researchers. This paper aims to study the consequences of environmental policies on the Beijing-Tianjin-Hebei region and how to alleviate the negative impact of those environmental policies. Through analyzing the data of industrial structure in the past eight years, it is found that the pillar industry of this region is the secondary industry. China's designated environmental policies have increased the cost of taxes, basic materials, energy conservation and emission reduction equipment for small and medium-sized enterprises in the second industry, resulting in the decline of profits and even bankruptcy of small and medium-sized enterprises and causing the recession of the second industry and economy recession. It has led directly to the decline of manufacturing, higher unemployment and increased competition between The Beijing-Tianjin-Hebei region. This paper tries to provide some countermeasures and suggestions to Hebei province's social and economic problems, such as rising unemployment and recession. Finally, it analyzes the latest national air governance policies and the changes in industrial structure brought about by sustainable energy in the future, trying to solve the problem of worker unemployment caused by air policies through the development of green industries.

The impact of environmental regulation on China’s industrial green development and its heterogeneity

The research analyzes the impact of environmental regulation on industrial green development using panel data from 30 provinces in China from 2006 to 2018. We employ the Super-slack-based measuring (SBM) model to measure the level of domestic industrial green development and use the ordinary panel model, the panel threshold model, and the spatial panel model for empirical estimation. The results reveal that the environmental regulation index plays a significant role in promoting such development. Environmental regulation index, command-and-control environmental regulation, market-incentive environmental regulation, and public-participation environmental regulation all have only a single threshold of technological progress and fiscal decentralization. Further analysis shows that China’s industrial green development presents obvious spatial agglomeration characteristics, and there is a significantly positive spatial correlation between different environmental regulation indicators and industrial green development. Our findings provide useful policy recommendations for promoting industrial green development in China.

Evaluation Method of Industrial Efficiency of Green Manufacturing Enterprises Based on Machine Learning

The cultural construction in the process of industrialization is intertwined with the culture required by the development of green manufacturing industry, which has become the growth point of economic construction and the new trend of economic development. Efficiency is the basis for the development of various industries. If we do not improve efficiency, industrial development will cause waste of resources and environmental pollution. Therefore, this study proposes a new evaluation method of green industrial manufacturing efficiency. The proposed method suggests cultural enterprises. In addition, this study examines the cultural green manufacturing industry productivity of cultural enterprises and combines it with machine learning. The excellent performance of neural network in prediction makes it possible to predict the efficiency of green manufacturing industry of cultural enterprises. Genetic algorithm is also proposed to optimize BP network. This algorithm is easy to operate and requires few parameters. In the process of finding the optimal solution, the optimal individual in the group can be used to control the iterative process. The particle swarm optimization algorithm is improved and combined with genetic algorithm to get an improved hybrid algorithm. BP network is optimized, and an improved BP network prediction model is established to evaluate the efficiency of green manufacturing industry of cultural enterprises. A large number of experiments have proved the effectiveness and reliability of this method. Separate simulations and results are presented to verify the effectiveness of the proposed model.

Study of the Effect of China’s Emissions Trading Scheme on Promoting Regional Industrial Carbon Emission Reduction

The creation of carbon emissions trading markets is a core policy for realizing China’s twin objectives of reaching a peak in CO2 emissions before 2030 and achieving carbon neutrality by 2060. Given that industry is the most significant energy consumer and CO2 emitter, it is imperative to implement carbon reducing initiatives to attain these goals. Following the implementation of carbon emissions trading pilots in China, this article theoretically analyzes the mechanisms of action and paths of influence of China’s carbon trading policies on regional industrial carbon emissions. Then, regarding the trading rights policies launched in 2013 as a quasi-natural experiment, this study uses provincial panel data and industry data from 2003 to 2016 to empirically test the effect of carbon trading on industrial emissions by employing the difference-in-difference and difference-in-difference-in-difference methods. It was found that carbon emissions trading can promote a reduction in regional industrial carbon emissions, achieving the dual aims of reducing total emissions and reducing emission intensity. The reduction effect occurs after the implementation of the carbon trading market policies. The carbon trading policies reduced regional industrial emissions by optimizing regional industrial structures and increasing regional technological innovation. It was also found that reductions in carbon emissions were heterogeneous among industries. These research conclusions will help to improve the top-level design of China’s industrial energy saving and carbon reduction policies and to achieve low-carbon and green industrial development.

Green Development Evaluation of Tai’an Based on Entropy Method

In order to realize the harmonious development between human beings and nature, we must adopt the environment-friendly production and consumption mode based on the carrying capacity of the environment, with less pollution and low loss of industrial structure and sustainable development of green industry to pursue the coordinated, comprehensive, and sustainable development of economy, society, and environment. Based on the analysis of the economic, resource, and environmental data of Tai’an, Tai’an made significant achievements in promoting the green development of the city. It shows that the measures of promoting green development to drive economic and social development in Tai’an City have achieved certain results. The paper used the entropy method to calculate the comprehensive evaluation index of the green development in Tai’an to measure the developments of “Green Tai’an” comprehensively and has analyzed the progress of the construction in recent years and put forward some relevant suggestions in view of the existing problems.

Does market-oriented reform make the industrial sector “Greener” in China? Fresh evidence from the perspective of capital-labor-energy market distortions

The market-oriented reforms boost economic take-off in China, but the lag of the factor market still leads to many disadvantages where the factor market distortion is a stylized fact. There is rarely direct evidence showing whether market-oriented reform can spur industrial green development (IGD) although the industrial sector is the main battlefield of market-oriented reform. Herein this study integrates labor, capital, and energy into a unified research framework and investigates the impact of market-oriented reforms in different fields on IGD from the perspective of factor market distortion. The results from China's 30 provinces show that the distortions in the capital market and energy market play a significantly negative role in IGD while the impact of labor market distortion on IGD is not statistically significant. Further calculation shows that the growth potential of the national IGD level is 10.117% and 2.291% per year under the ideal condition of eliminating the market distortions of capital and energy, and the growth potential in central and western China is greater than that in eastern China. It is encouraging that increasing investment in R&D and pollution control will weaken the inhibitory effect. Of note, the inhibition effects are significantly heterogeneous and asymmetric across quantiles where capital market distortion shows a relatively weaker inhibitory effect in areas already in the late stage of industrialization. However, an interesting finding is that the negative effect of energy market distortion is the weakest in areas in the mid-industrialization stage, where government regulation should not be completely abandoned. The findings help shed important insights into the ongoing debate regarding the role of market-oriented reform in the high-quality development of the industrial sector in emerging economies.

Policy Evaluation of Drama-Related Intangible Cultural Heritage Tourism for Boosting Green Industry: An Empirical Analysis Based on Quasi-Natural Experiment

Drama-related intangible cultural heritage is rich in connotations, and the development of tourism value of drama-related intangible cultural heritage can promote the service industry and boost the development of green economy. Using panel data of 31 provinces, municipalities directly under the central government and autonomous regions in China from 2000 to 2019, this paper empirically analyzed the global picture of the effectiveness of sustainable policies for drama-related intangible cultural heritage tourism through the double difference method of quasi-natural experiment, then analyzed the different performance of policies among regions with different geographical characteristics, and finally analyzed the patterns of four batches of policies in time sequentially in multiple periods. The results found that sustainable policies for drama-related intangible cultural heritage tourism can promote the development of green service industries. These policies can promote the service industry in areas with a relatively backward economy, a single industrial sector, and a low degree of openness, but with outstanding ethnic characteristics, and can effectively promote rural revitalization. Besides, these policies first promote the growth rate of the green service industry, and the effectiveness of the policies has a certain time lag. As the effect of the policies accumulates, the growth rate of the green service industry slows down, the scale benefits appear, and the proportion of the industry is obviously increased.