In order to reduce the impacts of global climate warming on world ecological environment, Chinese government has set up a “dual carbon” strategy of carbon peaking before 2030 and carbon neutralization before 2060. Approaches to energy-saving-emission-reducing and to economic growth as well have become one of the pending research topics. This paper, aiming at a coordinated development between energy-saving-emission-reducing and economic growth, focusing on three key points of economic growth, energy consumption and carbon dioxide emission to construct a multiple objectives optimized model of industry economic growth, which is applied to study the impacts of decrement in industry energy consumption intensity on China's industry economic growth and carbon dioxide emission reduction by means of Nondominated Sorting Genetic Algorithms under three energy consumption intensity scenarios. From 2021 to 2023 under the benchmark scenario, GDP of other industries gains a highest annual growth rate, followed by transportation and warehousing and postal services. It indicates that their economic growth potential in the future will be relatively greater. China's accumulated GDP is estimated to reach 1 26399 trillion yuan, 1 264.18 trillion yuan and 1 264.28 trillion yuan under the three scenarios from 2021 to 2023, indicating that decrement in energy consumption intensity can not only reduce carbon dioxide emission, but also boost China's GDP growth. China's gross energy consumption under the low carbon will decrease by 20% than under the benchmark scenario during 2021 to 2030, and by 40% under the strengthen low carbon, under the two low-carbon scenarios, the decline of the national total energy consumption is basically the same as that of the industry energy intensity. China's carbon intensity changes show a descending trend under the three scenarios from 2021 to 2023, reaching 0.083 4t/KRMB, 0.068 0t/KRMB and 0.053 0t/KRMB in 2030, down by 74% compared to 2005, far over the government's target 65%. 

This paper, in order to study the structural features of embodied carbon network in China's multiple regions, uses environmental expansion input-output model to establish China's multiregional embodied carbon network, and applies structural path betweenness centrality to determine the key carbon dioxide transmission sectors in the embodied carbon network,identifying critical carbon dioxide transmission pathways using structural path analysis method,and in-depth research was conducted on China's multi-regional embodied carbon network based on data such as the 2017 multi-regional input-output table.Among China's multi-region embodied carbon network in 2017, the top 30 provincial industrial sectors in transmission embodied carbon include 10 metallic smelting and processing, and 8 electricity and thermal production and processing industrial sectors, who heavily use highly-energy-consuming products from the upper stream industrial sectors as middle input, leading to vast quantity of carbon dioxide transmitted to the down-stream industrial sectors. The top 3 provinces in the betweenness centrality of China's multi-regional embodied carbon network in 2017 are Jiangsu, Shandong and Henan. In the supply chain of embodied carbon transmission in various provinces, the key transmission path for embodied carbon transmission in most provinces of China is the non-metallic mineral products industry → construction industry, power and heat production and processing industry → construction industry, power and heat production and processing industry → other service industries. Some embodied carbon key transmission sectors can not be recognized by using the traditional methods based on production and consumption ends, which can be reached through structural path betweenness centrality. 

As Chinse mining integration with global value chain (GVC) is rising, this paper aims to study how to make corresponding industrial policies under difference Chinese mining integration levels in GVC so as to improve Chinese mining's green total factor productivity (GTFP). From constructing calculation model of mining's GTFP, this paper uses the moderation of industrial policies to study the impacts of GVC's dynamic evolution on Chinese mining's GTFP, and discusses their moderating roles of encouraging and regulatory industrial policies on Chinese mining's GTFP in different stages of GVC. GVC's dynamic evolution plays an upside-down “U-shaped”role on Chinese mining's GTFP, with a diminishing positive marginal effect as integrating level of GVC is growing, down to 0 when the integrating level reaches 0.178, even down to negative if the integrating level passes 0.178, negative marginal effects begin to replace positive marginal effects,then gradually increasing with the integrating level. When Chinese mining has a low integrating level in the GVC, encouraging industrial policies such as tax refund, R&D allowance and low-interest loan play a boosting role on Chinese mining's GTFP, while the regulatory industrial policies works adversely. When Chinese mining has a high integrating level, regulatory industrial policies like environmental rules and production capacity limitations play a positive role on Chinese mining's GTFP, while the encouraging industrial policies play negatively. 

This paper, aiming at the servicing values of ecological water conservancy engineering and its coupling coordination with regional high-quality development, based on a case of Dezhou's Datun Reservoir and its water-receiving areas, Shandong province, on the basis of selecting Datun Reservoir and Dezhou city related statistical data ,establishes an index system to estimate Datun Reservoir's servicing values, and constructs an index system to evaluate the regional high-quality development. A coupling coordination model is built between the both to study their coupling coordination. Datun Reservoir's servicing values are mainly marked by its water supply and ecological environment. Its engineering servicing values in 2009 has increased by 206.949 million yuan since 2013, up 64.66%. Its comprehensive index of servicing values during 2013 to 2019 has been up fluctuatingly, to 0.60 in 2019 from 0.26 in 2013. Dezhou's comprehensive index of high-quality development has been down fluctuatingly, to 0.52 in 2019 from 0.54 in 2013.The high-quality development level of Dezhou city from 2014 to 2017 is relatively low, while the rest years are in the general stage of regional high-quality development. The coupling coordination degree between the service value of Datun Reservoir and the high-quality development of Dezhou showed a trend of fluctuating upward, and the coupling coordination degree value fluctuated from 0.61 in 2013 to 0.75 in 2019, so their relative development degree also showed a trend of fluctuation rising, and the relative development degree value increased from 0.49 in 2013 to 1.15 in 2019. It concludes that Datun Reservoir's servicing values have formed a benign interaction with Dezhou's high-quality development, but leaving their coupling coordination a room for improvement.

Study on suitability division of “production-living-ecology” (PLE) space microscopically can provide references for town-level land planning and consolidation. This paper, based on a case of Chengui town, Daye city, Hubei province as a ore-crop compound area, establishes an evaluation index system of its PLE space suitability, and uses 2-dimensional graphic clustering to evaluate its suitability and division of “production-living-ecology” space in Chengui town. Chengui town's suitable PLE space has two blocks, one sparsely distributing along Chengui village, and the other concentrating in Tiantaishan district. Unsuitable PLE space is mainly distributing in the south and northeast, with other scattering as small blocks. From the perspective of the spatial suitability of the “production-living-ecology” in the village area of Chengui town,villages classified as suitable have a balanced development among PLE spaces, near governmental planning objectives in intensive production space, friendly living space and green ecological space. Mining activities play a influential role on its suitability of PLE space, adversely impacting ecological space, agricultural production and non-mining production, so decreasing social benefits of the ore-crop compound area, and possibly resulting in a lower overall spatial use level. This paper uses 2-dimensional graphic clustering to divide Chengui town's PLE space into 5 regions according to suitability evaluation and actual spatial use and rural-urban planning. Region I is the agricultural core zone concentrating with large areas of agricultural production. Region II is living core zone leading the future rural-urban integration. Region III is comprehensive developing potential zone with variety of land uses. Region IV is the core ecological protection area needing a coordinated development between mining space and ecological space. Region V is the ecological agricultural tourism are focusing on ecological agriculture directing ecological tourism.

Atmospheric pollution collaborative harness in Yangtze River Delta is facing collective action plight and race to the bottom plight, mostly contributed by conflicts between single interests and collective objectives, regional collaboration and regional competition. Its solution must rely on the coordination between atmospheric pollution control and economic development, which can be balanced via industrial collaboration. This paper, by means of 41 cities' 2014 to 2019 data in Yangtze River Delta, uses single time fixed effect model to study the actual effects of industrial collaboration approaches in depressing atmospheric pollution and advancing economy from industrial scale expansion, industrial technical innovation and industrial structural optimization. Results show that industrial scale expansion boosts atmospheric pollution, but industrial technical innovation and industrial structural optimization work reversely, and industrial technology innovation and industrial structure optimization can suppress air pollution emissions caused by industrial scale expansion. The three factors can promote economy. Industrial scale expansion strongly boosts the sulfur dioxide emission, followed by PM2.5 and nitrogen dioxide. Industrial technical innovation strongly depresses the sulfur dioxide emission, followed by nitrogen dioxide and PM2.5, so does industrial structural optimization on the sulfur dioxide, followed by PM2.5 and nitrogen dioxide. Industrial structural optimization mostly enhances the economy, then industrial scale expansion and industrial technical innovation. The regions where industrial structure optimization plays a promoting role in economic growth from strong to weak are southern Zhejiang, northern Jiangsu, Anhui, and core. The regions in which industrial scale expansion plays a promoting role in economic growth from strong to weak are northern Jiangsu, core, southern Zhejiang and Anhui. The regions where industrial technology innovation plays a promoting role in economic growth from strong to weak are Anhui, southern Zhejiang, and the core.

This paper, aiming at the impacts of ecological innovation on enterprises' actual taxing burden, uses China's A-share manufacturing enterprises' 2010 to 2019 data to construct a theoretical framework of “ecological innovation-enterprise reputation-enterprise taxing burden” from perspective of taxing stimulation, and applies fixed effect model to study the impacts of ecological innovation on manufacturing enterprises' actual taxing burden, and to analyze the mediation of enterprise reputation between ecological innovation and actual taxing burden, and the moderating role of environmental regulation between ecological innovation and actual taxing burden of the enterprise, offering references for Chinese government to guide and stimulate enterprises on ecological innovation. Enterprises can largely decrease its actual taxing burden from ecological innovation, down by 1.13% if innovative level up by 1%, especially in the enterprises in manufacturing industries with low and moderate pollution and in private sector. Enterprises can promote their reputation through ecological innovation, up by 23.15% if innovation level up by 1%.Enterprise reputation plays a partial mediating role between enterprise ecological innovation and actual tax burden. The test shows that enterprises' actual taxing burden will decrease to 1.01% from 1.13% on ecological innovation after reputation incorporated. Mediation effect of enterprises' reputation has a proportion at 7.05% to the total effect of ecological innovation to actual taxing burden. Environmental regulation plays a negative regulating role between enterprises' ecological innovation and their actual tax burden. The research shows that the interaction term coefficient between environmental regulation and enterprise ecological innovation is -0.5%, and is significant at the level of 1%, indicating that environmental regulation strengthens the negative impact of enterprise ecological innovation on the actual tax burden of enterprises. 

This paper on the purpose of exploring the impacts of business environment on technical innovation of China's minor enterprises, uses access to policy resource as a bridge to establish a framework of “business environment-resource accesstechnical innovation” from perspective of resources-basis view, take the data of A-share GEM listed companies in Shenzhen Stock Exchange from 2009 to 2017 as the research sample，which is used to study the mechanisms of business environment on technical innovation of China's minor enterprises, and to analyze the mediation of policy resources access between business environment and technical innovation of minor enterprises, and the moderating effect of market competitiveness intensity on policy resources access and technological innovation of minor，and uses the fixed effect model and the intermediary effect model to conduct empirical tests. Optimizing business environment can promote their technical innovation of China's minor enterprises. Among the tier 2 indicators of business environment, market intermediary organizations' development and legal system environment，development of factor market, development of private economy play an outstandingly positive role on their technical innovation. Excessive estrangement between the government and the market can have a restraining effect on technological innovation of minor enterprises. Development of products market works little on innovation of minor enterprises. Heterogeneity analysis suggests eastern China's business environment play a larger pushing role on minor enterprises' technical innovation than central-western China's. Business environment can not only directly boost their technical innovation of China's minor enterprises, but also indirectly through policy resources access. Access to policy resources plays a partial intermediary role between business environment and minor' technological innovation, accounting for 0.806 of the total effect of business environment on minor' technological innovation. Market competitiveness intensity plays a positive modulation between policy resources access and minor enterprises' technical innovation, the higher market competitiveness intensity, the access to policy resources will play a more positive role in promoting minor' technological innovation.

Servitization policies for manufacturing is a strategy to ensure its highquality development. Its quantitative evaluation can provide references for making, adjusting and optimizing related policies. This paper, based on China’s 13 servitization policies boosting manufacturing issued by all-level governments during 2014 to 2021, uses PMC index model and text mining to quantitatively evaluate the servitization policies for China‘s manufacturing. The results show that PMC indexes of 7 out of the 13 policies are classified at excellence, 6 at qualified, indicating an appropriate overall design of China’s servitization policies for manufacturing, still with room for improvement. Their coverages and diversities reveal that China‘s all level governments are fully aware of importance of boosting manufacturing servitization. During execution of servitization policies issued by central government, China‘s all level governments can closely follow nation’s policies and make localized servitization policies consistent with local economy. China’s existing servitization policies are most on guideline and encourage with lack of supervision, leading to issues such as weak servicing consciousness and narrow servicing domain during development of China‘s manufacturing servitization. PMC indexes of the 13 policies show that China has issued policies favorable for manufacturing servitization from administration, department guidelines and industrial regulations, but lack of legal supports, which needs to be incorporated into manufacturing servitization policies so as to better resolve operational issues. 

Manufacturing is a key basis for real economy, manufacturing enterprises technical innovation can reach a quality economic development and acts as a unique factor for China's manufacturing to be stronger. Innovative resource inputs are a critical factor for manufacturing enterprises to conduct technical innovation. This paper, for a purpose of studying impacts of depositional redundant resources on technical innovative performance of China's manufacturing enterprises, based on China's A-share manufacturing enterprises' 2013 to 2021 as research samples, uses fixed effect model to study their relationship among depositional redundant resources, ownership concentration and manufacturing enterprises' technical innovative performance, and to analyze the impacts of ownership heterogeneity on the relationship between depositional redundant resources and manufacturing enterprises' technical innovative performance. Depositional redundant resources shows a upside down “U-shaped” relation with technical innovative performance, meaning that depositional redundant resources can promote the technical innovative performance before reaching the premium critical value, but depress it after. This upside down “U-shaped” relation can be enhanced by ownership concentration. It can enhance the positive promoting effect of moderate depositional redundant resources on the technological innovation performance of manufacturing enterprises, and also enhance the negative inhibitory effect of excessive depositional redundant resources on the technological innovation performance of manufacturing enterprises. Impacts of depositional redundant resources on technical innovative performance vary with manufacturing enterprises' property rights in China with such a upside down “U-shaped” relation between depositional redundant resources and technical innovative performance in private enterprises more outstanding than in state-owned enterprises. 

In order to study how to adjust production elements input according to demandsupply changes of industrial water use for a optimized allocation of China's industrial water use, this paper uses power function to describe water consumption per 10 000 yuan industrial added value in Jiangsu province, and uses linear function to mark added industrial values, product of both can be used to simulate the industrial water demand. Cobb-Douglas function is used set up industrial water supply production function, combined with water demand function, C-D function, 2 fixed asset depreciation methods and system dynamics method, which is applied construct dynamics model of Jiangsu's industrial water demand-supply. This model is used to study the inner relation between Jiangsu's industrial water demand-supply changes and production elements input. This paper uses fixed asset investment and labor inputs in Jiangsu's industrial water supply industry as water supply controlling variable, and designs 5 combination plans of production elements input, and applies simulation to study the optimal combination plan of controlling variable. Sensitivity analysis was used to test the robustness of the industrial water supply model constructed in Jiangsu province. Systematic dynamics model is of complexity whose sole variable formula needs to be corrected for obtaining SD's satisfying solution. Jiangsu's industrial water use has stably declined during 2010 to 2019, turned to be slightly up since 2020, mainly due to the increase of water consumption of industrial added value greater than the decreased water consumption of per 10 000 yuan of industrial added values. Industrial water supply can be decreased through reducing production elements input when industrial water demand declines, and vice versa. Among the five combination plans of production elements input, plan 3 has industrial water supply close to demand, a optimal plan. Its sensitiveness suggests that the industrial water supply model is less sensitive to parameters change, so it has good robustness.

Under China's mixed ownership reform, this paper, aiming at exploring the relation among strate-owned equity, board chain and enterprise R&D investment, from a dual perspective of resource reliance and deputy theories, selects China's A-share high-tech companies' 2010 to 2019 panel data, uses fixed effect regression model to deeply study the multiple mechanism of action among state-owned equity, board chain and enterprise R&D investment，and the robustness test and heterogeneity analysis were carried out. Board chain has an influence factor at 0.226 on R&D investment, outstandingly above 10%, indicating its positive influence, helpful for enterprises to gaining innovative resources from external environment and organizations. Regression coefficients of state-owned equity to board chain and to enterprise R&D investment reach to 0.907 and 1.191, both outstandingly above 5%, suggesting their positive correlation. The influence of state-owned equity on R&D investment still remains obvious after board chain as a mediating variable added, regression coefficient down to 0.180 from 0.191, and outstanding above 5%, indicating that the board chain plays a mediating role between state-owned equity and enterprise R&D investment. The influence coefficient of the interaction term between stateowned equity and board chain is -3.299, outstandingly above 5%, indicating that stateowned equity  plays a moderating role between board chain and enterprise R&D investment, when the proportion of stateowned equity to total equity is low, board chain has a positive effect on enterprise R&D investment，when the proportion of stateowned equity is high, the board chain has a negative effect on enterprise R&D investment.

As ecological civilization construction goes forward, China increasingly pays more attentions on forest resources and forest ecological status, requiring a timely, continuous and diversified assessment of monitoring of forest resources and forest ecological status, which provides a good development opportunity for usage of spaceborne remote sensing in monitoring forest resources and forest ecological status. Spaceborne remoting sensing has been widely used as an effective monitoring of forest resources and forest ecological status in surveying forest resources, assessing forest ecoenvironment and operating forest business. Forest ecological information acquired amid the process can provide longterm and continuous serial data for managing forest resources. Spaceborne remote sensing application technology used in monitoring of forest resources and forest ecological status can be divided into three categories, optical, microwave and thermal infrared.This paper explores SAR-based forest resources parameters extraction method, principle and application from backscattering coefficient, polarimetric SAR, InSAR, differential InSAR and polarimetric interferometric InSAR, and introduces the key interfaces during studying forest temporal-spatial changing rules via spaceborne remote sensing（canopy atmosphere interface）and representative parameters (normalized vegetation index).This paper presents suggestions on constructing forest remote sensing ecological indictor system on the basis of scientificity and rationality of index system and the feasibility of index inversion, on constructing integrated landspaceborne forest ecosystem smart monitoring platform through integrating all monitoring systems to increase reverting accuracy of forest resources parameters, on obtaining forest ecological monitoring information to provide basic data and important references for forest resources carbon sink management, on precisely obtaining the phase of forest crown and ground, constructing forest height compensation model for future inverting tree height research.