Industrial Transfer Research Articles

The Sustainability of Regional Innovation in China: Insights from Regional Innovation Values and Their Spatial Distribution

As the continuous improvement of the quality of innovation becomes increasingly significant for balanced regional development in China, it is critical to provide insights into the sustainability of regional innovation in China from the viewpoint of value. This study estimates regional innovation values based on an improved regional innovation value model incorporating patent values and a regional innovation indicator system. Data for invention patents as well as regional innovation indicators in 282 cities from 1987 to 2019 in China are utilized for estimation. Based on the estimated parameters and Monte Carlo simulation, city-level innovation values are calculated as benchmarks, along with provincial and regional innovation values, to analyze the patterns of the spatial distribution and agglomeration of regional innovation value. The findings are as follows. (1) The regional innovation value model provides an effective way to measure regional innovation in terms of value. (2) The regional innovation values are unevenly distributed; cities with higher innovation values are clustered in Eastern China, while most other cities have much lower innovation values. (3) The innovation values in Eastern China are notably higher, and the differences in innovation values between Eastern China and other regions are large and show a trend of first widening and then narrowing during the sample period. (4) The sustainability of regional innovation is not widely achieved, since highly concentrated innovation value is found in only a few regions in the eastern coastal areas. These findings suggest that promoting China’s innovation capacity and the sustainable development of technological innovation requires continually implementing innovation-driven development strategies, cultivating high-value innovation, optimizing industrial transfer, improving the layout of the national research infrastructure, giving full play to spatial spillover effects, and promoting interregional innovation information exchange in order to achieve the balanced and sustainable development of regional innovation.

Digital economy, industrial transformation and upgrading, and spatial transfer of carbon emissions: The paths for low-carbon transformation of Chinese cities

Under the background of increasingly fierce global economic competition and severe climate change, seeking new soft resource input is the key for China to break through the bottleneck of economic transformation. Based on the data from 278 Chinese cities from 2006 to 2019, multi-dimensional empirical tests were conducted to investigate the relationship between digital economy (DE) and spatial transfer of carbon emissions (CE). The results show that DE directly reduced CE. Mechanism analysis shows that DE reduced CE through local industrial transformation and upgrading (ITU). Spatial analysis shows that DE reduced local CE while aggravating neighboring CE. The spatial transfer of CE was attributed to the fact that when DE promoted the local ITU, it induced the transfer of the backward and polluting industries to neighboring regions, resulting in the spatial transfer of CE. Moreover, the spatial transfer effect of CE was maximum at 200 km. However, in recent years, rapid DE development has weakened the spatial transfer effect of CE. The results can provide insights into understanding the carbon refuge effect of industrial transfer in China in the context of DE and facilitate formulating appropriate industrial policies to promote inter-regional carbon reduction synergy. Thus, this study can provide a theoretical reference for achieving the dual-carbon target of China and the green economic recovery of other developing countries.

Exploring the impact of China-Europe Railway Express on the urban-rural income gap

The China-Europe Railway Express (CRexpress) has established a new land transportation route between Asia and Europe as part of China’s westward expansion. The resulting trade promotion effect has the potential to improve industrial development and factor flows, ultimately leading to a reduction in the income disparity between urban and rural areas in cities that use the CRexpress. The impact of the CRexpress on income disparities between urban and rural areas in cities that use the service is of particular interest, as the empirical evidence on the relationship between international trade and these disparities is inconsistent. Using a difference-in-differences model and macro panel data, this study found that the CRexpress significantly narrowed the urban-rural income gap in cities where it was operational, and that this effect had a spillover effect on nearby cities. However, the magnitude of this effect decreased with distance. The mechanism analysis indicated that the CRexpress narrowed the income gap by promoting secondary industry development, but this effect varied significantly by region, with pronounced effects in eastern coastal cities and less pronounced effects in inland cities in the central and western region. The study suggests that local governments in these regions should focus on improving the institutional environment and providing industrial support to promote industrial transfer in order to narrow the urban-rural income gap and promote overall economic development.

Study on Spatial and Temporal Characteristics and Influencing Factors of Carbon Emissions in the Urban Agglomeration of the Middle Reaches of the Yangtze River

The industrial transfer of heavy industries such as non-metallic mineral manufacturing, metal smelting and manufacturing from the eastern coast of China to the central region is beneficial to the economic development of the central region on the one hand, but increases carbon emissions in the central region on the other hand. In February 2022, the National Development and Reform Commission approved the “14th Five-Year Plan for the Development of the Urban Agglomeration in the Middle Reaches of the Yangtze River”. This indicates that the urban agglomeration of the middle reaches of the Yangtze River is an important region for implementing green development in the central area. The spatial and temporal evolution of carbon emissions and influencing factors in this region are the foundation for achieving carbon peaking and the carbon neutrality goal. This paper calculates the total carbon emissions of the cities in the urban agglomeration of the middle reaches of the Yangtze River and uses models such as spatial autocorrelation, geographically weighted regression, and Geodetector to explore the spatial–temporal pattern of carbon emissions. The results show the following: (1) The total carbon emissions of the middle reaches of the Yangtze River urban agglomeration showed fluctuations during 2010–2020, and the carbon emission reduction effect is unstable. Additionally, the carbon emissions of the middle reaches of the Yangtze River city cluster show obvious spatial variability, but the high carbon emission area is always concentrated in Wuhan, and this remains unchanged. (2) In 2010, 2014 and 2017, population size was the most important factor affecting carbon emission divergence, and in terms of interaction, the interaction between energy intensity and GDP and urbanization is the reason for the increasing carbon emissions. (3) The influence of population size on carbon emissions decreases from north to south, the influence of energy intensity on carbon emissions shows a spread from the most influential region in the northwest to the centre and then to the northeast, and the GDP per capita has little influence on the difference of carbon emissions spatial distribution.

Design a high-performance thermoelectric generator by analyzing industrial heat transfer

Industrial production will release a large amount of waste heat into the environment and cause serious energy waste. Currently, most waste heat recovery technologies cannot directly convert waste heat into energy required for industrial production, and there is a problem of low energy conversion efficiency problem. Thermoelectric conversion technology can convert industrial waste heat into electrical energy and directly use it in industrial production. This study uses a numerical method to analyze the heat transfer behavior between an industrial thermal environment and a thermoelectric generator (TEG). According to the numerical calculation results, the deficiencies of the original TEG are optimized, and a new TEG with high power generation performance and stability is designed. Finally, the accuracy of numerical calculation results and the industrial application feasibility of new TEG are verified through on-site tests. The results show that the power generation performance of the new TEG has been greatly improved, and it can operate stably for a long time in an industrial environment. The best economic benefit can be obtained by installing new TEGs in the x = 20 m-21 m, the power generation cost is 3.45$/W, and the total output power is 0.55 kW. The cost of power generation for new TEGs will increase as the installation area increases. When new TEGs are installed in the x = 20 m-24 m, the power generation cost is 3.97$/W, and the total output power is 1.96 kW. It can be known from the on-site testing results that the new TEG has high practical value and can be widely used in industrial waste heat recovery.

The effect of environmental regulation on population migration: Evidence from China's new ambient air quality standards

Environmental regulations may lead to changes in individual behaviors. This paper investigates the effect of environmental regulations on population migration. Using the new ambient air quality standard (NAAQS) as an event study, the difference-in-differences (DID) strategy is constructed for estimation. We find that, on average, over 18.76 thousand in the net inflow of the permanent population decreases after implementing the NAAQS. The reduction primarily occurs in cities that implement the new standard in the first stage. The mechanism analysis shows the NAAQS both increases the population inflow by improving air quality and reduces it through polluting industry transfer and industrial upgrading. The heterogeneous analyses show that the NAAQS has significantly negative effects on population migration in cities that monitor air quality more strictly, cities located southeast of the Hu Huanyong Line, and cities with higher economic development levels. Conversely, the NAAQS has no significant impact on cities in the northwest of the Hu Huanyong Line and cities with low economic development.

Impact of National Industrial Relocation Demonstration Zones (NIRDZs) policy on urban carbon emissions in China

To improve the industrial spatial layout and propel regional coordinated development, China has implemented the policy of NIRDZs since 2010. However, there is little literature focuses on the relation between NIRDZs and carbon emissions. Based on the balanced panel data from 284 China's prefecture-level cities during 2003–2019, this article combines the time-varying DID model, mediating model, and spatial DID model to systematically qualify the impact of NIRDZs on urban carbon emissions. The results show that: (1) NIRDZs effectively reduce recipient cities' carbon emissions, which has been confirmed by a variety of robustness checks. (2) NIRDZs' carbon reduction effect is more pronounced in cities in the central region, cities with poverty-stricken counties, large-scale cities, and resource-based cities, but exacerbates environmental demonstration cities' carbon emissions. (3) Industrial structure upgrading, foreign capital attraction, and government financial support are the three important channels through which NIRDZs influence urban carbon emissions. (4) NIRDZs have a significant spatial spillover effect on urban carbon emissions, and can significantly reduce carbon emissions in both neighboring pilot and non-pilot cities. These findings have substantially vital theoretical and practical implications for China to achieve low-carbon transformation in cities in the process of industrial transfer.

One Belt and One Road Impact on Environment, Economy & Health in Western China Through Industry Transfer

Abstract Based on fully absorbing and learning from the relevant research results at home and abroad, this paper focuses on four aspects: the transfer of polluting industries in the central and western regions and residents’ health problems. Firstly, the current pattern and development trend of regional pollution transfer in China; secondly, the economic effect of the transfer of polluting industries on the western undertaking areas; finally, from the micro and macro perspectives, the paper investigates the impact of the transfer of polluting industries on the individual health and health expenditure of residents in western China. The results show that the gap between industrial environmental and economic efficiency in the western region narrowed and gradually stabilised from 2008 to 2017. However, the gap between industrial environmental efficiency and economic efficiency in the western region widened from 2017 to 2020. The impact of environmental pollution on industrial environmental efficiency in the western provinces and regions has regional differences. Secondly, the present situation and trend of pollution control in western China are macroscopically investigated by comparing the output of general industrial solid waste and the investment in pollution control in different regions. Finally, this paper reveals the impact of the transfer of polluting industries on the health of residents in western China. Based on the characteristics of household category, age, and income of interviewees, the income growth effect of the transfer of polluting industries is less than the health loss caused by the transfer of pollution. It can be found that the transfer of polluting industries has a significant impact on the environment, economy, and the health of residents in western China.

Identification of Urban Spatial Structure of Pearl River Delta Urban Agglomeration Based on Multisource Spatial Data

Identifying urban center structure and urban centers is an important component of urban geography research. This study aimed to propose an urban center identification method, which was constructed by combining nighttime light data, point-of-interest data, and population density data. The method involved constructing the Main Center Score Index and the Mean Subcenter Score Index and using the existing Getis-Ord Gi* model, natural discontinuity method, and other models. This study used this method to identify the urban center structure of the Pearl River Delta urban agglomeration. The results of this study are as follows: A total of 69 urban centers in the Pearl River Delta urban agglomeration were identified in this study, including 9 main centers and 60 subcenters. However, the urban center of the Pearl River Delta urban agglomeration exhibits the phenomenon of uneven spatial distribution, and the urban center is concentrated in the central area of the urban agglomeration. In the urban center structure, Guangzhou, Foshan, Zhaoqing, Huizhou, Dongguan, Shenzhen, Zhongshan, Jiangmen, and Zhuhai were polycentric structures. Among the dominant factors affecting the spatial distribution of urban centers, the dominant factor in Guangzhou and Foshan was the government-led spatial development model, the dominant factor in Dongguan and Zhongshan was the administrative division system, the dominant factors in Shenzhen and Zhuhai were the special economic zone policy and government industry guidance policy, and the dominant factors in Huizhou, Jiangmen, and Zhaoqing were geographical proximity, industrial transfer, and transportation infrastructure. In addition, this study compared the urban center identification results with three data sets and Chinese government urban planning documents to test the accuracy of the method for identifying urban centers. The results showed that the overall identification accuracy of urban centers in this study was 85.48%, among which Foshan exhibited the highest identification accuracy of 90.9%.

Interregional industrial transfer, industrial correlation spillover, and productivity: evidence from China’s textile industry

ABSTRACT This paper studies the knowledge spillover effect through industrial correlation in the process of interregional textile industry transfer and its effects on the TFP of China’s textile industry. The paper calculates the industrial similarity coefficients of subdivided industries with the textile industry and identifies the related industries of China’s textile industry by using the data of China’s input-output table and extension tables from 2002 to 2017. Then, the paper defines the industrial correlation spillover as the weighted sum of the indirect R&D investment of one industry from its related industries and constructs a quantitative method to qualify the industrial correlation spillover. Furthermore, the paper makes two empirical analyses on the existence of industrial correlation spillover in the interregional industrial transfer and its effects on productivity using the panel data of two-digit subdivided industries in 30 provinces. The results show that the correlation spillover effect does exist and promotes the interregional textile industry transfer from the eastern coastal region to the central and the northern-coastal regions; the correlation spillover from the related tertiary industries in industrial transfer promotes the TFP of China’s textile industry, but the correlation spillover from the related secondary industries impedes the TFP of the textile industry.

The environmental effects of undertaking industrial transfer in developing countries: a quasi-natural experimental evidence in China.

The construction of National Industrial Relocation Demonstration Zones (NIRDZ) is important for China's industrial transfer, but its environmental influence cannot be neglected. This study explores the environmental effects of industrial transfers by studying China's NIRDZ. By employing panel data of 284 cities in China between 2005 and 2019, we compare environmental quality changes over time in areas with and without demonstration zones based on the staggered difference-in-differences (DD) technique. The results demonstrate a 0.032 increase in the environmental quality level of industrial receivers after the implementation of demonstration zones. The effect of demonstration zones on environmental improvement is moderated by natural resources, capital accumulation, and technological innovation capabilities. This impact is more fully realized in cities with resource-based, low-capital accumulation, and high-tech innovation but is not statistically significant difference at various levels of human resources. The environmental improvement effect of the NIRDZ is powerful in central cities and small- and medium-sized cities instead of western regions and large-scale cities. Additionally, mediation analysis is adopted to assess the potential mechanism between the association of NIRDZ and the environment. The demonstration area negatively affects environmental quality through the economic scale effect while improving environmental quality through the technological innovation effect. We provide empirical evidence that the NIRDZ is positively correlated with the environment and identify the technology effect as one underlying driver of this correlation to help developing countries address its detrimental impacts.

Coordinated development of regional resources, environment, and economic growth under the background of low-carbon economy

IntroductionAt present, the rapid growth of social and economic development has also brought great challenges to the development of regional resources and environment. With the deepening of the concept of sustainable development, the coordinated development of regional resources, environment and economic growth has attracted more and more attention. The coordinated development of resources, environment and economic growth is not only the engine of industrial growth, but also the accelerator to promote industrial transfer and optimal allocation of resources, which has injected a strong impetus into social development. However, with the continuous upgrading of the industrial structure, environmental pollution, unbalanced economic development, resource shortage and other problems have gradually emerged in various important development areas.MethodsIn order to effectively solve this dilemma, this paper takes the Beijing-Tianjin-Hebei region (BTH) as an example, based on the analysis of the current situation of the economic and environmental development of BTH region and the influencing factors, combined with the background of low-carbon economy (LCE), effectively studies the coordinated development of its resources, environment and economic growth. In order to verify the effectiveness of low-carbon economic development, this paper, based on the actual development data of BTH region, tests the three dimensions of economic benefit index, environmental benefit index and emission reduction efficiency index.ResultsThe results show that the average environmental benefit index of 13 cities in the BTH region after the implementation of the target is about 0.457. The average benefit index before the implementation of the target was about 0.449.DiscussionFrom the final results of the test, it can be seen that the development of low-carbon economy has strong feasibility for promoting the coordinated development of regional resources, environment and economic growth.

Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China

With the implementation of deep-market-oriented reforms in China, an accurate interpretation of the effect and transmission mechanism of the marketization of industrial land transfer on carbon emission reduction can provide references for further elevating the role of land policy in China’s low-carbon economic transition. Based on the balanced panel data of China’s provincial level from 2009 to 2020, this paper uses carbon emission intensity to quantify emission reduction targets, and studies the effects of the marketization of industrial land transfer on regional carbon emission intensity, as well as its internal mechanism, by describing the typical characteristics. Moreover, this paper analyzes the moderating role of environmental governance and conducts area heterogeneity analysis. The main results show that (1) the marketization of industrial land transfer can significantly reduce regional carbon emission intensity, and the negative effect is stronger in the mid-west compared with the effect in the east. (2) Environmental governance can play a positive moderating role in the relationship between the marketization of industrial land transfer and the carbon emission intensity. (3) Industry selection is the internal mechanism by which the effect of the marketization of industrial land transfer on regional carbon emission intensity operates, and the mechanism is represented more prominently in the mid-west. The main conclusions provide inspiration for land policy regulation in relation to carbon emission reduction. China’s local governments should implement specific strategies to improve the market-based operation mechanism of land, attracting industries with high energy efficiency and low carbon emissions, and strengthening the intensity of environmental governance.

Electron beam powder bed fusion processing of 2507 super duplex stainless steel. as-built phase composition and microstructural properties

This study focuses on adapting the Electron Beam Powder Bed Fusion (E-PBF) process for the manufacturing of parts from 2507 super duplex stainless steel, combining high strength and corrosion resistance, therefore presenting an interesting choice for E-PBF implementation. Samples manufactured using four sets of process parameters were characterized by scanning electron microscopy, tensile testing, X-ray diffraction analysis, energy dispersive X-ray spectroscopy and nanoindentation. The different E-PBF process temperatures investigated had the strongest influence on the phase characteristics and the resulting microstructure. The processability of the material was good, and high productivity rates were achieved, indicating good suitability for industrial transfer.

International Industrial Transfer, Green Technological Innovation, and Manufacturing Global Value Chain Status

Most of the existing literature focuses on how international industrial transfer (IIT) impacts the global value chain (GVC) status of the manufacturing industry from the perspective of narrowly defined FDI but ignores the objective fact that FDI and IIT are not equivalent. Based on theory analysis, we used the TiVA database, the input–output model, and global value chain-related methods to effectively measure the scale of generalized IIT and GVCs of manufacturing sectors in China from 1995 to 2018. On this basis, the relationship between IIT and the GVCs of manufacturing industries and the moderating effect of green technological innovation (GTI) were empirically investigated using industry panel data. The results show that (1) there is a nonlinear inverted U-shaped relationship between IIT and manufacturing GVCs; that is, a larger IIT scale is not better from the perspective of manufacturing GVCs. (2) GTI weakens the inverted U-shaped relationship between IIT and manufacturing GVCs. (3) The heterogeneity analysis found that both medium- and high-technology manufacturing IITs have a nonlinear inverted U-shaped relationship with GVCs, which does not exist in low-technology manufacturing IIT. (4) The benchmark regression results remain robust after replacing the GVC measure, excluding special years and endogeneity treatment and replacing the estimation method robustness test. The research in this paper has implications for optimizing the design of IIT policies to promote the upgrading of manufacturing GVC status.

Characterization of Copper Oxide–Jatropha Oil Nanofluid as a Secondary Refrigerant

Nanofluid is a new fluid with special characteristics that can be used in various industrial heat transfer applications. The nanofluid was created using the two-step approach of dispersing nanoparticles into Jatropha oil. The experiments were conducted for four samples of mixture nanofluid at four different volume concentrations of 0.5%, 1.0%, 1.5%, and 2%. The nanoparticles were characterized by X-ray diffractometric analysis, X-ray fluorescence spectroscopy, and scanning electron microscopy. The greatest increase in thermal conductivity for CuO–Jatropha oil nanofluids was made possible by 0.5%, 1.0%, 1.5%, and 2% mixture was 4.5%, 6.01%, 7.6, and 9.1%. The study observed that a mixture achieved the highest thermal conductivity for nanofluid at 2%. At a mixture of 0.5%, the lowest value of thermal conductivity within the range under consideration, a “deeding” effect was seen. To determine the thermal conductivity of CuO–Jatropha oil nanofluids based on temperature, volume concentration, and nanoparticle mixture volume concentrations, the study suggested and compared four sample models. The effect of nanoparticles on the rise of thermal conductivity and viscosity was investigated at temperatures ranging from 298 to 323 K. The X-ray diffractometer is used to characterize nanoparticles. Viscosity and thermal conductivity have been tested in the lab. The findings show that the copper oxide nanoparticles improved the base fluid’s thermophysical abilities more than Jatropha oil alone. For the evaluation of the thermal conductivity and viscosity of nanofluid, new empirical correlations were presented based on experimental data. The thermal conductivity of the nanofluids increases as the temperature rises, while the viscosity of the nanofluids decreases.

China’s special economic zones and the industrialisation of Africa

Africa’s interest in the Chinese experience of industrialisation has led to the development of SEZs on the continent. The past two decades have witnessed an evolution of Africa from relying on traditional industrial zones to implementing numerous modern international SEZs, and from having only seven China–Africa Economic and Trade Cooperation Zones to possessing modern African SEZs of various developers and operators. The African SEZs inspired by China are increasingly widespread. As a new strive for development, African industrialisation through SEZs is characterised by underlining export promotion and the preference for the labour-intensive manufacturing industry based on well-developed infrastructure and an active role of the state. China has been supporting African SEZs in the whole process from financing, construction, and management to industrial transfer and investments. Despite the significant opportunities that SEZs offer, African countries still face several limitations in implementing them successfully. African policy-makers and other actors involved in the SEZs can better adapt to the new approach of industrialisation by making relevant adjustments.

Komponen Pembelajaran pada Transfer Pengetahuan Pewarisan Bisnis Keluarga Industri Pandai Besi

Blacksmithing is a life skill based on local wisdom to support people's lives. Transfer of knowledge in the blacksmith industry takes place informally through learning while working. The purpose of this study was to determine the learning components of the blacksmith's knowledge transfer. This research uses a qualitative case study approach with interview and observation methods. The learning components in the knowledge transfer of the blacksmith industry include panjak as students, masters and senior panjak as educators. The aim of learning is to produce panjaks that master a series of skills ranging from basic, intermediate, to advanced skills, as provisions for work and even the skills of trying to open their own pande. The media used are the same as the equipment and materials for the production process. Pande and the master's house as a place to study. Study time is the same as pande production time. Learning methods include nuntui, nuturi, practice and question and answer. Evaluation of learning in the learning process runs naturally through observations of panjak performance.

Industrial Transfer Learning for Multivariate Time Series Segmentation: A Case Study on Hydraulic Pump Testing Cycles.

Industrial data scarcity is one of the largest factors holding back the widespread use of machine learning in manufacturing. To overcome this problem, the concept of transfer learning was developed and has received much attention in recent industrial research. This paper focuses on the problem of time series segmentation and presents the first in-depth research on transfer learning for deep learning-based time series segmentation on the industrial use case of end-of-line pump testing. In particular, we investigate whether the performance of deep learning models can be increased by pretraining the network with data from other domains. Three different scenarios are analyzed: source and target data being closely related, source and target data being distantly related, and source and target data being non-related. The results demonstrate that transfer learning can enhance the performance of time series segmentation models with respect to accuracy and training speed. The benefit can be most clearly seen in scenarios where source and training data are closely related and the number of target training data samples is lowest. However, in the scenario of non-related datasets, cases of negative transfer learning were observed as well. Thus, the research emphasizes the potential, but also the challenges, of industrial transfer learning.

Can Environmental Regulations Promote Regional Industrial Transfer?

In the context of building a “Beautiful China”, it is imperative to strengthen environmental regulations to restrict industrial pollution emissions. However, there are significant differences of regulations intensity among different regions, which will lead to an increase in the cost of compliance with regulations for polluting industries, so these industries tend to transfer from areas with strong environmental regulations to areas with weak environmental regulations. Based on the panel data of 282 prefecture-level cities and national patent data from 1994 to 2010, this paper constructs a difference in difference model (DID) to empirically study the impact of environmental regulations on regional industrial transfer and its mechanism. We find that, firstly, the “Two-Control Zones” policy has significantly promoted regional industrial transfer, and its effect has gradually increased in the long run. Then, the promotion effect of the “Two-Control Zones” policy on regional industrial transfer is heterogeneous among different regions due to the regional market environment and resource endowment; that is, the promotion effect is the greatest in Central China, then in Eastern China, and finally in Western China. At the same time, the frequency of industrial transfer in areas with high resource dependence is significantly lower than that in areas with low resource dependence. Finally, mechanism studies find that environmental regulation enhances inter-regional industrial liquidity and promotes regional technological innovation, and the role of environmental regulation on technological innovation is more obvious in regions with weak industrial liquidity. This proves that the “Pollution Heaven Hypothesis” and the “Porter Hypothesis” can be established at the same time in the Chinese context, which provides more reliable empirical evidence for the government to formulate environmental regulations, restrict pollution emissions, and balance environmental governance and sustainable economic development.