Development Of Green Industry Research Articles

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.

The green effects of fund market – analysis based on institutional investors’ preference

PurposeAs Chinese stock market develops and grows, mutual fund plays an increasingly important role for strong financial strength and good social resources. This paper aims to present an overview of fund investment effect, identify the investment preference of institutional investors and explore the socially responsible investment value of mutual fund, especially green fund.Design/methodology/approachIn order to test the green effects in the fund market, especially from the perspective of institutional shareholding, the authors build three panel data models to examine the attention, promotion and network effect respectively.FindingsIn general terms, the authors obtain a positive relationship between mutual funds and green firms (attention effect). This positive relationship is conducted by the comparison of institutional shareholding level between green firms and non-green firms by using two-sample t-test. The authors find that although all the coefficients of mutual funds' shareholding variables are positively related to social performance, only the number of mutual fund shareholders shows slight significance. The authors observe a stronger promotion effect of green funds on social performance than the other mutual funds (promotion effect). From a network perspective as well as previous social capital research, the mutual funds shareholding network shows a significant and positive effect on the firm's social performance in the firm–fund network (CFClose) as well as in the firm–firm network (CCClose), while the coefficients of closeness in the firm and green fund network are positive but non-significant (network effect).Research limitations/implicationsAlthough some valuable findings have been documented, there is a great potential to be further explored. For example, how to guide more green funds to solve the finance problem of middle and small-sized firms may be another crucial task for the point of view of government or industry level. While at the mutual fund level, it is essential to positively participate in and fulfill the environment duty of listed firms which can not only satisfy the expectation of environment value investment.Practical implicationsThe fund market has witnessed unprecedented growth in China and plays an important role in promoting the development of green industries. This indicates the practice of mutual funds as socially responsible investment in China. Some effective measures should be taken to incentive the mutual funds to continually invest in environment-friendly firms, which would benefit to the promotion of social performance driven by financing innovation.Social implicationsThe ESG issue is a global one that needs the participation of the countries worldwide. As one of the most important emerging markets, regulators in China should consider taking more action in promoting ESG concerns. To some extent, institutional investments can actually reflect how the responsible investments are going in this market.Originality/valueThis paper provides a systematic empirical analysis of Chinese fund market in the view of institutional investor preference. Three green effects, namely attention, promotion and network effects, are put forward, which have not been employed in previous studies. Our work is useful for understanding sustainable finance which has been elevating into national strategy.

Coupling Coordination and Influencing Factors of Land Development Intensity and Urban Resilience of the Yangtze River Delta Urban Agglomeration

The rapid urbanization of the Yangtze River Delta urban agglomeration has led to the convergence of population, land and capital. The coordination between land development intensity and urban resilience has become a key issue in the post-urbanization period. From the perspective of regional overall and coordinated development, we constructed an evaluation index system of land development intensity and urban resilience. Then, the comprehensive evaluation model, coupling coordination degree model and panel Tobit regression model were adopted to systematically study the temporal and spatial differentiation of and influencing factors on the coupling coordination degree between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration from 2009 to 2019. The results show that from 2009 to 2019, the land development intensity exhibited a slow and fluctuating increase, while the urban resilience displayed continuous growth, and the level of land development intensity generally lagged behind that of urban resilience. From 2009 to 2019, the average coupling coordination degree between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration increased from 0.5177 to 0.6626, which generally changed from bare coordination to moderate coordination. In terms of spatial distribution, the coastal cities and cities along the Yangtze River were characterized by high coupling coordination degrees, which formed a “T” shape distribution pattern. In addition, the coupling coordination types showed certain spatio-temporal heterogeneity among cities. Finally, land economic benefit, green industrial development, scientific and technological innovation, social management and infrastructure all had significant impacts on the coupling and coordination between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration.

Institutional Governance Influence Mechanism and Model of Regional Green Development in China

Green has become the underpinning of High-quality development in China. Green development is inseparable from the support of institutional governance. This study uses MVC mode to build institutional governance mechanism, and constructs institutional governance system and model of regional green development. The empirical results show the following: institutional governance has great influence on industrial green development. From the perspective of China's provincial industrial green development, Shandong Province has been maintaining the first position of governance investment. Green governance is better in southern China than in the northern provinces. And the institutional governance intensity of each province is not evenly distributed. Therefore, China's industrial green development still needs to further strengthen the system governance of northwest and northeast regions. Finally, this paper aims to improve the green development level of China's regional industrial economy through the construction of institutional governance system. It provides institutional environment for the development of green innovation.

Do raising environmental costs promote industrial green growth? A Quasi-natural experiment based on the policy of raising standard sewage charges

In recent years, countries have actively promoted green economic transformation. Formulating reasonable and effective environmental regulation policies is an important way to realize this transformation. Based on a policy of raising standard sewage charges in China, this paper selects the panel data of 30 provinces from 2000 to 2018 and adopts the multi-time Differences-in-Differences (DID) method to empirically examine the effect of raising environmental costs on industrial green total factor productivity (GTFP). This paper finds that industrial GTFP is significantly increased by raising standard sewage charges. The conclusion is still valid after alleviating the endogenous problem and conducting robustness tests. The policy gives a boost to industrial GTFP in Eastern and Western regions, but not significantly in Central regions, according to the heterogeneity test. Further analyses of its transmission process reveal that raising environmental costs can promote industrial green growth, mostly via technological and structural effect. As a result, if all provinces can optimize and upgrade their industrial structures and improve their levels of technological innovation when faced with increasingly strict environmental regulations, they will be able to better change the model of economic growth and realize green industrial development.

The Impact of the Internet on Industrial Green Productivity: Evidence from China

The expansion of the Internet has played a considerable role in improving industrial green development. This paper both analyzes how the development of the Internet affects Industrial Green Total Factor Productivity (IGTFP) and its mechanism of action, and, using the Dynamic Spatial Durbin Model (DSDM) and Chinese panel data, empirically investigates the impact and spatial spillover effect of the development of the Internet on IGTFP. The results show not only that the development of the Internet has a significant promoting effect on improvements to IGTFP in this region and the surrounding areas, but also that the long-term effect is greater than the short-term effect. The Mechanism test shows that Internet development can promote IGTFP through both the upgrading of industrial structure and technological innovation, with the intermediary effect of technological innovation obviously greater than that of industrial structure upgrading. The above research conclusions are still valid after performing a series of robustness tests, and provide empirical evidence for the implementation of the “Internet+” action plan and the popularization and application of the industrial Internet in China.

Nexus of Political Connections with Green Financial Development and Fiscal Performance

Green finance is an important guarantee to promote the development and structural transformation of green industries in China and is also the power source to implement the concept of green development during the "13th Five-Year Plan". The development of green finance is inseparable from the support of financial and taxation policies. Based on this background, there is a certain connection between green finance and corporate values. When companies strengthen their political relations, there will be certain positive and negative effects on the company's future development. Green development should be the goal, and the financial and tax performance of companies should be enhanced in strengthening the development of green finance. The most important thing for companies, regardless of the industry, is to interact with the government to improve their development goals and performance, maintain their rights and interests through political relations and policies, and obtain government support to achieve sustainable development of the company. Therefore, this study focuses on the political relationship between green finance development and financial performance and examines the intervention of political ties on corporate green investment and corporate performance. The results confirm that politically connected companies have more resources and protect the natural environment while improving their financial performance.

Industrial green total factor productivity based on an MML index in the Yangtze River Economic Belt.

The environmental problems caused by industrial development in the Yangtze River Economic Belt in China have become a bottleneck for urban economic development. Therefore, the measurement of the green efficiency of the urban industry in the Yangtze River Economic Belt can provide a reasonable basis for future industrial green development paths. Based on the DEA model, this study measures the industrial green total factor productivity of 108 cities in the YREB by combining the meta-frontier infrastructure framework and the Malmquist-Luenberger index. The results indicate the following: (1) The industrial green total factor productivity of cities in the Yangtze River Economic Belt declined at first and then increased from 2009 to 2016. The overall performance indicated that the structures of the technological efficiency change index and technological change index were unreasonable. The industrial green total factor productivity of midstream cities is the highest, and the difference between cities is influenced by economic development level, industrial base, transportation convenience, labor quality, and the government's emphasis on green development of industrialization. (2) Different regions have different decomposition efficiency to promote the improvement of ITFP. Considering regional heterogeneity, the industrial green total factor productivity in the middle and lower reaches of the region relies on the advantages of technical efficiency, whereas the upper reaches rely on the improvement of management efficiency. (3) The technology gap in the upper and lower reaches is small, and in the middle reaches is relatively large. Thus, according to the above empirical results, this study finally presents some policy suggestions for industrial green development in different cities of the Yangtze River Economic Belt.

Exploring the impact of green credit policy on green transformation of heavy polluting industries

As a market-based financial instrument, green credit is one of the key drivers for constructing green financial system. Green credit policy (GCP) can guide capital flow from high-energy consumption and high-pollution industries to technologically advanced emerging industrial sectors, so as to support the development of green industries and curb the emissions of polluting industries. In order to explore the extent to which the goal of green credit policy in China has been achieved, based on the micro data of China's listed enterprises from 2009 to 2017, this paper explores the impact of “Green Credit Guidelines” (2012 Guidelines) policy on the green transformation of heavy polluting industries (HPIs) by using a Difference in Differences (DID) and Propensity Score Matched-Difference in Differences (PSM-DID) models. We then analyze the mechanism between GCP and green transformation of HPIs and identify the heterogeneous effects of GCP on the green transformation of HPIs. The results show that the 2012 Guidelines significantly promote the green transformation of HPIs, through debt financing constraints and equity financing constraints. The effect of 2012 Guidelines on green transformation of small-scale and private enterprises is more pronounced. However, the positive effect of 2012 Guidelines on the green transformation of HPIs has not been sustained in the long term. Our study provides an insight for decision makers to manage green transformation of HPIs from the GCP perspective, by informing the economic consequences of GCP and pushing the industrial transformation towards green development.

How to Evaluate the Green and High-Quality Development Path? An FsQCA Approach on the China Pilot Free Trade Zone.

In today’s world, green development has become an important trend, and many countries regard the development of green industry as an important measure to promote economic restructuring. Green development is consistent with sustainable development in ideology. China’s economy is in the stage of high-quality development. As an important foundation for China’s external economic development, the free trade zone can play a good role in promoting its green and high-quality development. Based on the data of 18 free trade zones in China in 2020, this paper explores the green and high-quality development path of the China Pilot Free Trade Zone. Firstly, the green development index is constructed according to the existing research and experience, and then the fuzzy set qualitative comparative analysis method is used to evaluate the green and high-quality development path. The results show that the development of pilot free trade zones is not the result of a single condition but the result of a combination of green policy effectiveness, foreign investment participation, green production growth rate, and other conditions. Combined with the green and high-quality development path, this paper further provides enlightenment for the development of the China Pilot Free Trade Zone.

Hydrogen peroxide and applications in green hydrocarbon nitridation and oxidation

Basic organic chemicals and high value–added products are mainly produced by hydrocarbon nitridation and oxidation. However, several drawbacks limit the application of the traditional oxidation and nitridation technologies in the future, such as complex processes, poor intrinsic safety, low atom utilization, and serious environmental pollution. The green nitridation and oxidation technologies are urgently needed. Hydrogen peroxide, a well–known green oxidant, is widely used in green hydrocarbon oxidation and nitridation. But its industrial production in China adopts fixed–bed technology, which is fall behind slurry–bed technology adopted by advanced foreign chemical companies, limiting the development of hydrogen peroxide industry and green hydrocarbon nitridation or oxidation industry. This article reviews the industrial production technologies of hydrogen peroxide and basic organic chemicals such as caprolactam, aniline, propene oxide, epichlorohydrin, phenol, and benzenediol, especially introduces the green production technologies of basic organic chemicals related with H2O2. The article also emphasis on the efforts of Chinese researchers in developing its own slurry–bed technology of hydrogen peroxide production, and corresponding green hydrocarbon nitridation or oxidation technologies with hydrogen peroxide. Compared with traditional nitridation or oxidation technologies, green production technologies of caprolactam, propene oxide, epichlorohydrin, and benzenediol with hydrogen peroxide promote the nitrogen atom utilization from 60% to near 100% and the carbon atom utilization from 80% to near 100%. The waste emissions and environmental investments are reduced dramatically. Technological blockade against the green chemical industry of China are partially broken down, and technological upgrade in the chemical industry of China is guaranteed.

Green Plums Surface Defect Detection Based on Deep Learning Methods

Green plums are a characteristic fruit resource in China, with a long history of cultivation. Many surface defects will appear in the growth, transportation and preservation of green plums which seriously affect the processing quality of by-products. The existing manual sorting method of green plums is limited by the experience of workers. It is difficult to ensure the quality and speed of detection. Therefore, the formation of automatic detection of green plums surface defects is of great significance to the development of green plum industry. According to the surface defects of green plums, this paper divides green plums into five categories: rot, cracks, scars, spots and normal. A total of 1235 images of green plums were obtained by self-built image acquisition device. The WideResNet50-AdamW-Wce model based on WideResNet model was built to classify the surface defects of green plums. Accuracy, recall and F1-measure were selected as the indexes to evaluate the accuracy of classification. The accuracy of classification reached 98.95 %, and the classification accuracy of rain spots, normal, scars, rot and crack reached 100 %, 99.56 %, 98.59 %, 98.25 % and 96.10 % respectively. Comparing the performance of ResNet50-SGD, WideResNet50-SGD, WideResNet50-SGD-Wce and WideResNet50-AdamW network models, the F1-Measure based on WideResNet50-AdamW-Wce is the highest in each defect, and more greengage defect features can be learned. The detection results can meet the production needs of plum deep processing enterprises – evaluating 1800 green plums per hour on the assembly line.

Financing constraints change of China's green industries

<abstract> <p>Adequate funding is a crucial factor for the sustainable development of green industries. However, most green firms have suffered from financing constraints due to the negative externalities and information asymmetry of green finance. This study analyzes the driving factors of financing constraints index (FCI) of green industries from 2010 to 2019 using shift-share analysis. At the regional level, this study decomposes the change in FCI into three factors: national FCI change effect (NC), regional FCI change effect (RC), and regional FCI structure effect (RS). At the industry level, the study decomposes the change in FCI of green sub-industries into three factors: total industries FCI change effect (TIC), green industries FCI structure effect (GIS), and green sub-industries FCI structure effect (GSIS). The results show that the financing constraints on Chinese listed companies are getting stronger with each passing year. In particular, the financing constraints on green industries start to become larger than those of non-green industries after 2015. The decomposition results show that NC for each province is positive and relatively similar from 2010 to 2019. Nearly half of the provinces have positive RC values and there are more provinces with positive RS effects than those with negative RS effects. Most provinces are dominated by NC and RS effects. From the three green sub-industries, we observe that the TIC of all three sub-industries is positive, and GIS is positive in most years, while GSIS presents different characteristics. This study provides policy implications for alleviating financing constraints in green industries.</p> </abstract>

Research on environmental cost control of ANGANG STEEL COMPANY LIMITED under the background of low-carbon economy

In recent years, with the rapid development of our country's economy, our country's natural environment resources are also being consumed at an accelerated rate. In 2021, our country's economic work requires promoting the effective combination of consumption and investment on the basis of insisting on expanding domestic demand, and accelerating the development of the green and low-carbon economy. Iron and steel enterprises as an important body responsible for our country's implementation of carbon emission reduction targets, they should take the initiative to act and make preparations to accelerate the development of the low-carbon economy. The promulgation of the "14th Five-Year Plan for Industrial Green Development" and the "Guiding Opinions on Promoting the High-quality Development of the Iron and Steel Industry" has accelerated the adjustment of the iron and steel industry’s industrial structure. Green and low carbon will be the future direction of China's iron and steel industry. The development of low-carbon economy is inseparable from the environmental cost control, so it is very necessary to research the problems and countermeasures in the environmental cost control of iron and steel enterprises. ANGANG STEEL COMPANY LIMITED is one of the largest domestic steel production enterprises and one of the successful models of iron and steel enterprises. This paper takes ANGANG STEEL COMPANY LIMITED as the research object, and uses the low-carbon economy theory as the theoretical tone of the full text. Combined with the literature analysis method and case analysis method, it collects and organizes the environmental data of ANGANG STEEL COMPANY LIMITED, and analyzes the problems existing in the environmental cost control of it. Finally, according to the existing problems, this paper will put forward corresponding suggestions to solve the problems, provide reference and help for other iron and steel enterprises, so as to help our country gradually improve the market to promote energy conservation, emission reduction and the development of a green and low-carbon economy.

Some Thoughts on Building a Green and Low-Carbon Circular Economy System—Taking Shenzhen as an Example

The report of the 19th National People’s Congress of China proposed to implement the new development concept, promote green development, and establish a sound economic system for green and low-carbon circular development. As one of the most active coastal cities in China’s economic development, Shenzhen regards the development of green industries as an important measure to promote economic restructuring, emphasizes green innovation in science and technology, and has achieved certain results in green development. However, Shenzhen’s green development also faces problems such as lack of systematic and coordinated development strategies and institutional obstacles. Focusing on the strategic goal of “creating a pilot demonstration zone of socialism with Chinese characteristics”, the author discussed the governance path of Shenzhen’s construction of a green and low-carbon circular economic system from the perspective of effective governance, and formed a scientific decision-making mechanism, sound laws and regulations, and Countermeasures and suggestions in several aspects, such as the standard system, perfecting economic policies, and promoting the deep integration of science and technology policies and technological innovation.

Spatiotemporal pattern assessment of China’s industrial green productivity and its spatial drivers: Evidence from city-level data over 2000–2017

City-level accounting of industrial green productivity (IGP) is necessary to identify the different circumstances of industrial green transformation and development across Chinese cities. However, the lack of energy consumption data in the urban industrial sector leads to the assessment of China’s IGP at the macro provincial level, which is not conducive to further formulating systematic measures to improve IGP. Hence, based on the multi-source nighttime light (NTL) data fitted and corrected by DSMP/OLS and NPP/VIIRS images, this study simulates the total energy consumption of urban industrial sector and establishes an IGP analysis database combined with socio-economic data. Subsequently, the spatiotemporal pattern and drivers of IGP are systematically investigated by means of the Dagum Gini coefficient, spatial autocorrelation model, Markov transition probability matrix, and spatial econometric model. Four important findings arise from the analyses. Stylized facts show that an overall increase in IGP is accompanied by the exacerbation in spatial inequality, the year 2006 is a turning point from frequent fluctuations to steady growth. Specifically, interregional disparities have gradually become the main source of overall disparities in IGP across eight comprehensive economic zones, hypervariable density is the main source of overall disparities across three major urban agglomerations. Spatially, Global Moran’s I of IGP uninterruptedly increases from 0.043 in 2008 to 0.155 in 2017, showing a positive spatial correlation of high-high agglomeration and low-low agglomeration. Additionally, IGP has a strong spatial locking effect with the unchanged probability of 78.81%, 72.18%, 75.94%, 83.67%, and there is the coexistence of win–win and beggar-thy-neighbor phenomenon to a large extent. Results further reveal that IGP has a positively spatial spillover effect, economic development level, human capital, industrial agglomeration, and environmental regulations all work for driving IGP growth in local and neighboring areas. Based on the findings, policy recommendations for the improvement of IGP are provided.

Study on the integrated protection strategy of water environment protection: The case of Hainan Province of China

In order to promote the construction of a beautiful China, 14th five year plan is started. The basic conditions of water ecological environment in Hainan Province are good, but in recent years, the function of water ecosystem is degraded and the improvement of water environment quality is limited. China has integrated the “three water” of water environment to set the water resources and water ecology into the goal index and task engineering setting of the special plan for water ecological environment protection. But the China’s water ecological environment protection strategy needs to comprehensively consider the connection between space development and protection, industrial green development, ecosystem protection and restoration and traditional water pollution control. So, integrated protection strategy is carried out in this process. Scientific and feasible integrated protection strategies promote the construction of beautiful rivers in Hainan Island, and provide reference for other provinces in China to carry out water ecological environment protection in the medium and long term. • Integrated protection strategy is carried out. • Promote the construction of beautiful rivers in Hainan Island. • Helps to carry out water ecological environment protection in the medium and long term.

Study on the Green Development Potential and International Cooperation Countermeasures of Primorsky Krai of Russia

Green development and international cooperation are important themes of today’s social development research. As Russia’s important area to the Asia-Pacific region, the Primorsky Krai bears the responsibility of exploring international cooperation and green development methods. Based on the current situation of Russia’s development, this study constructs an evaluation index system for green development capabilities from the four aspects. Based on the entropy method, the 2015 first-level administrative unit of the Russian Federation was evaluated for green development capabilities, focusing on the status quo of the green development capabilities of the Primorsky Territory and the development direction of international cooperation. The results show that the Primorsky Krai has a relatively high level of green development capability in the Russian Federation. The price level of the Primorsky Territory has the strongest impact on the green development capability, and the industrial green development capability urgently needs to be improved. According to the evaluation results, it put forward suggestions that the Primorsky Krai needs to improve the development of green international cooperation in terms of social development, etc., and provided theoretical support.

Investigating the role of emissions trading policy to reduce emissions and improve the efficiency of industrial green innovation

Rapid economic development usually leads to serious environmental pollution problems. In order to solve the problem of pollutant emission in sustainable industrial development, it is urgent to examine the implementation effect of emissions trading policy (ETP) and its impact on green industrial development. This study adopts China's ETP as a case study and selects provincial panel data from 2004 to 2018. We first use a non-radial, non-directed, slack-based measure-directional distance function (SBM-DDF) to measure industrial green innovation efficiency. Then we use a difference in differences (DID) model to empirically test the emissions reduction effect of China's policy and whether it promotes industrial green innovation. Thereafter, results show that: (1) the ETP reduces sulfur dioxide (SO2) emissions indicating the effectiveness of the policy; (2) the policy significantly improves industrial green innovation efficiency, meaning it promotes the sustainable development of the economy; (3) heterogeneity analysis highlights that ETP produces greater benefits for the most polluted regions of China which have more strict environmental regulations. The study examines the effect of emissions trading policy implementation from a new perspective. The study also provides a reference point for China to further refine its policy mechanisms and for other countries to formulate suitable ETP.

Study on the evaluation and transformation path of green industrial development in Sichuan Province

This paper calculated the green index of 37 industries in Sichuan province by constructing a comprehensive model reflecting the economic contribution rate and environmental pollution contribution rate of industry, and the K-means method was used for clustering analysis. The results show that the green index of industry in Sichuan is at a good level among the country, but there is still a large development space. Based on the green index of clustering results show that the industry is divided into 4 major categories: encouraged development, optimized development, allowed development and restricted development, and the differentiated countermeasures proposed by the paper based on the research results are the practical needs of the green development of industries in the new era.