Ecological Environment In China Research Articles

Assessing the Coordinate Development Between Economy and Ecological Environment in China’s 30 Provinces from 2013 to 2019

Assessing the Coordinate Development Between Economy and Ecological Environment in China’s 30 Provinces from 2013 to 2019

Analysis of the coupling coordinated development and evolutionary trend of digital economy and ecological environment

In order to clarify the coordinated development status between the digital economy and the ecological environment in the context of rapid development of the digital economy and frequent ecological environment problems, we constructed an evaluation system using data related to the digital economy and the ecological environment in China from 2011 to 2019. And the level of coordinated development is calculated with the help of entropy method and the Coupling Coordinated Development (CCD) model. Further, we analyzed the spatial and temporal evolutionary trends of their coordinated development levels with the kernel density analysis and the Dagum Gini coefficient decomposition. The results of the entropy method and CCD show that both the level of digital economy, the level of ecological environment and the level of coupling coordination between the two have increased. And the level of coordinated development shows regional heterogeneity, with the highest in the eastern region, followed by the central region, and the lowest in the western region. The results of the kernel density analysis show that there is heterogeneity in the development process of CCD scores over time across regions. The results of the Dagum Gini coefficient decomposition show that the overall inter-regional differences, as well as intra-regional differences, are fluctuating and decreasing. And the overall imbalance mainly comes from the differences in development levels between regions. The analysis of the above methods provides a basis for understanding the spatial and temporal evolution characteristics of the coordinated development of China’s digital economy and ecological environment. And it also provides relevant policy recommendations for promoting coordinated and sustainable development among regions.

Spatiotemporal Differentiation and Driving Mechanism of Coupling Coordination between New-Type Urbanization and Ecological Environment in China

The coupling coordination between new-type urbanization and ecological environment is important for regional sustainable development in China. This study proposes an evaluation index system of new urbanization and ecological environment, and adopts a coupling coordination degree model and a spatial error model to explore the spatiotemporal evolution characteristics and driving factors of the coupling coordination degrees of new-type urbanization and ecological environment in 31 provinces of China from 2010 to 2019. The results show spatiotemporal differences in the overall coupling coordination degree, which has shifted from a mild disorder stage to a near disorder stage over the study period. The spatial distribution of the coupling coordination degrees by province has shifted over time from a pattern of low in the middle and high in both east and west regions to a pattern of stepwise decreasing from east, middle to west regions. The spatial correlation of the coupling coordination degrees is gradually weakening over time. Regional economic development, social security, technological progress, industrial structure, and education input can all contribute to inject strong impetus to the coupled and coordinated development of the two systems. As the development of impetus is still insufficient, it is suggested to pay attention to local conditions, strengthen inter-regional cooperation, and strengthen the superposition effect of multiple driving forces.

Land use affects the response of soil moisture and soil temperature to environmental factors in the loess hilly region of China.

Changes in soil moisture and soil temperature result from the combined effects of several environmental factors. Scientific determination of the response characteristics of soil moisture and soil temperature to environmental factors is critical for adjusting the sloping land use structure and improving the ecological environment in China’s loess hilly region. Soybean sloping fields, maize terraced fields, jujube orchards, and grasslands in the loess hilly region were selected as the research areas. The change in characteristics of soil moisture and soil temperature, as well as their interactions and statistical relationships with meteorological factors, were analyzed using continuously measured soil moisture, soil temperature, and meteorological factors. The results revealed that air temperature and humidity were the main controlling factors affecting soil moisture changes in the 0–60 cm soil layer of soybean sloping fields and grasslands in the normal precipitation year (2014) and the dry year (2015). Humidity and wind speed were the main meteorological factors affecting soil moisture changes in the maize terraced field. Air temperature had a significant negative effect on soil moisture in the jujube orchard. Soil moisture and soil temperature were all negatively correlated under the four sloping land use types. In normal precipitation years, atmospheric humidity had the greatest direct and comprehensive effect on soil moisture in soybean sloping fields, maize terraced fields, and grasslands; soil temperature had a relatively large impact on soil moisture in jujube orchards. The direct and comprehensive effects of soil temperature on soil moisture under all sloping land use types were the largest and most negative in the dry year. Air temperature had a high correlation with soil temperature in the 0–60 cm soil layer under the four sloping land use types, and the grey relational grade decreased as the soil layer deepened. The coefficient of determination between the 0–20 cm soil temperature and air temperature in the maize terraced field was low, indicating a weak response to air temperature. The above findings can serve as a scientific foundation for optimizing sloping land use structures and maximizing the efficient and sustainable utilization of sloping land resources in China’s loess hilly region.

Granger Causality Analysis of Foreign Trade in Cement Products and Ecological Impact in China

This paper presents an in-depth study and analysis of the impact of foreign trade on cement products and the ecological environment in China through Granger causality analysis. Based on the theoretical basis of foreign trade, ecological environment, and the relationship between them, a general equilibrium model is used to empirically analyze the “three effects” of foreign trade in Chinese cement products on the ecological environment, and the effects of import and export trade on ecological environment and the net effects are calculated, respectively. Then, based on the data of domestic and foreign cement product production and trade, the purpose, scope, and environmental impact factors of the ecological impact of foreign trade of Chinese cement products were determined by the life cycle assessment method, and the inventory analysis was carried out in phases based on the six aspects of nonrenewable resource depletion, global warming, photochemical ozone generation, acidification, eutrophication, and human health damage. The results were characterized and standardized, and the hierarchical analysis method was used to weight the evaluation of each environmental impact type, and finally, the resource consumption coefficient and environmental impact load index values and corresponding ratios were determined based on the green product evaluation method. This paper establishes an index system for the ecological and environmental impacts of foreign trade of cement products, which is a guide for the ecological and environmental impacts of foreign trade of other products in China. The results of the study on the ecological and environmental impacts of foreign trade of Chinese cement products also have important practical significance for the formulation of regulations and standards related to the cement industry, the adjustment of the import and export structure of cement products, and the improvement of production equipment and processes.

Quantitative estimation and influencing factors of ecosystem soil conservation in Shangri-La, China

Shangri-La is one of the regions with fragile ecological environment in China. It is also a key ecological protection area in northwestern Yunnan. Evaluation of soil conservation capability plays an important role in maintaining the ecosystem safety and sustainable development of the area. This study uses remote sensing image data, meteorological data, soil types data and DEM (Digital Elevation Model) to estimate the soil conservation capacity in different land use types, different grades of slopes, different vegetation coverage, different precipitation, and different soil types through the USLE (Universal Soil Loss Equation).The result shows that soil conservation capacity is the comprehensive influence of factors such as topography, soil types,vegetation coverage and precipitation condition,and the areas with forest, gentle slopes and above gentle slope, high vegetation coverage, precipitation of 500 mm to 600 mm, and dark brown soil, where the quantity of soil conservation is relatively large. It provides a basis for Shangri-La to carry out water and soil conservation, and to achieve ecological governance.

Exploring the Interactive Coercing Relationship between Urban Rail Transit and the Ecological Environment

The Chinese environment is experiencing the “U-Type” course from sharp deterioration to significant improvement. In order to achieve the fundamental improvement of the ecological environment, China has implemented several relevant policies and strategies. Among them, the development of urban rail transit, as an essential measure to improve the ecological environment in China, has attracted more and more attention, but the research on the interactive coercion relationship between rail transit and the ecological environment is minimal. Therefore, this study selected ten cities opening urban rail transit before 2005 in mainland China as research objects and established an urban rail transit and ecological environment comprehensive evaluation index system. Then, the interactive coercing model and coupling coordination model were used, and the dynamic relationship between urban rail transit and the ecological environment was explored. The research results in this study showed that (1) there is an apparent interactive coercion relationship between urban rail transit and the ecological environment, and the evolution trajectory conforms to a double exponential curve. (2) From 2006 to 2019, Wuhan’s ecological environment pressure index showed a continuous downward trend. The ecological environment improved the fastest. The rest of the cities showed a trend of first rising and then falling. (3) The type of coupling coordination degree of urban rail transit and ecological environment showed a changing coordination trend from severe incoordination—slight to incoordination—basic to coordination—good. Beijing has the highest degree of overall coordinated development in urban rail transit and the ecological environment. The results of this study can provide a theoretical reference for the realisation of the virtuous circle development of rail transit and the ecological environment.

Economic Development, Fiscal Ecological Compensation, and Ecological Environment Quality.

Focusing on the exploration of the important role of fiscal ecological compensation in green development, this paper incorporates fiscal ecological compensation into the analytical framework of green development. Based on samples of data from county areas in China in 2017 and 2018, this paper empirically examines the shape of the green development routes in county areas in China. On this basis, this paper explores the impact and mechanism of fiscal ecological compensation on the green development path in China. The empirical results show that there is a nonlinear, N-shaped relationship between economic development and the ecological environment in China within the range of the sample examined. Fiscal ecological compensation has a direct governance effect on the ecological environment of deterring ecological damage and providing financial compensation. Fiscal ecological compensation has an indirect impact on the ecological management of different regions by influencing economic development. Therefore, while focusing on transforming the economic development model, local governments should adopt policy instruments such as expanding the coverage of financial ecological compensation, deepening the design of the financial ecological compensation system, and systematically evaluating the effects of financial ecological compensation policies. The government should further improve and optimize the fiscal eco-compensation system in order to help China’s green and high-quality development.

The Burden of Neonatal Diseases Attributable to Ambient PM 2.5 in China From 1990 to 2019

Background: Air pollution exposure is an environmental risk to public health. And the available data on relationships of air pollution and neonatal disease burden are scarce. This study assessed neonatal disease burden attributable to Particulate Matter 2.5 (PM 2.5) pollution in China.Methods: This is a retrospective analysis with data from the GBD2019 database. Data of PM 2.5 pollution exposure levels and neonatal disease burden attributable to PM 2.5 in China from 1990 to 2019 were obtained from the Global Burden of Disease Study 2019 (GBD 2019); Data of PM2.5 concentration was collected from the Bulletin of the State of the Ecological Environment in China; Data of perinatal mortality was collected from the Chinese Maternal and Child Health Surveillance Network. Deaths, Disability-adjusted life years (DALYs), Year of life lost (YLLs), and Years lived with disability (YLDs) are primary indicators used to assess neonatal diseases burden. The correlation of PM2.5 pollution and neonatal death was analyzed. Average Annual Percentage Change (AAPC) and increment were used to assess exposure levels and disease burden trends.Results: PM 2.5 pollution exposure level of newborns in China is much higher than global average, 32.08 per 100 people (95% UI: 26.57–38.06) in 2019 compared to 1990 (15.86 per 100 people, 95% UI: 6.83–30.88), with an increase of 102.27%. And it is statistically verified PM2.5 concentration was positively correlated with neonatal disease deaths (r = 0.9534, p = 0.0009) and DALYs (r = 0.9534, p = 0.0009). The overall disease burden of neonatal diseases attributed to PM 2.5 pollution in China has decreased from 1990 to 2019, with a decrement of 5738.34 deaths (decreased: 56.85%), 51.01 person/years (decreased: 56.84%) for DALYs, 51.23 person/years (decreased: 57.11%) for YLLs and an increase of 150.69 person/years (increased: 31.71%) for YLDs.Conclusion: There exists positive correlation between environmental pollution and neonatal diseases in China. The number of neonatal disease deaths, DALYs, and YLLs due to PM 2.5 pollution showed a decreasing trend with the environmental pollution control. For the rising YLDs, there is a need to improve survival rates while focusing on prognosis of neonatal disease and reducing the burden of disease brought on by disability. Controlling environmental pollution is likely to help reduce neonatal disease burden, especially premature birth and neonatal encephalopathy.

The Impact of Relationship Quality on Electronic Word-of-mouth Referral Behavior in Big Data Era

Consumer through their referral behavior could be an effective mechanism for marketers in promoting their products in today’s big data era. In order to explore the ways that the electronic word-of-mouth referral (e-WOM) comprehensively and effectively influence on the film market in the current media ecological environment in China, this research selects Douban, an outstanding representative of China’s online film evaluation platform as the research object and combines the related theories of relationship quality and e-WOM referral behavior to investigate the significant positive influence of the four dimensions of relationship quality (satisfaction, credibility, affection and commitment) on e-WOM referral behavior.

Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment

To clarify whether there is a spatial correlation problem among China’s provincial energy consumption, economic growth, and ecological environment, this paper adopts the panel data of 31 provinces in China from 2008 to 2019 and uses a spatial data analysis method. This work studies economic growth and the spatial distribution pattern of the ecological environment, as well as the spatial effects of its energy consumption and economic growth on the ecological environment. Moreover, the spatial autocorrelation model, spatial-temporal transition method, and generalized moment estimation method are adopted to conduct empirical analysis on the research object. The results show that (1) there are spatial correlations among energy consumption, economic growth, and the ecological environment in China’s provinces, and there are obviously different agglomeration areas in spatial distribution; (2) energy consumption, economic growth, and the ecological environment level show different growth trends, and the differences between different provinces in provincial units are shrinking; and (3) regarding energy consumption, the spatial impact of economic growth on the ecological environment is obvious, and there are obvious “path dependence” characteristics in the spatial distribution and positive correlations. Finally, this paper puts forward research conclusions and relevant suggestions on the basis of empirical analysis.

BP neural network model for comprehensive evaluation of rural financial ecological environment

For this reason, the key to solve the problem of rural financial development is to solve the problem of rural financial development. At present, the state has given important instructions to improve the rural financial ecological environment, but the relevant research on the evaluation of rural financial ecological environment in China is still insufficient. In view of this situation, this paper puts forward a BP neural network model for the comprehensive evaluation of rural financial ecological environment. First of all, this paper studies the relevant basic theory of financial ecology and ecological environment comprehensive evaluation. Through the research, this paper believes that the construction of rural financial ecological environment involves many factors, and each factor has a mutual influence. It is difficult to determine the influence of a single factor on the final result. Therefore, in view of this complex situation, this paper establishes a set of multi factor evaluation index systems including economy, policy, law, culture, etc. And these complex factors are trained by BP neural network. The training results were normalized to quantify the specific impact of each index on the rural financial ecological environment. Finally, in order to verify the actual evaluation effect of this model, a number of comparative experiments including validity verification, stability analysis, comparison and verification of different model error rates are carried out. Through the analysis of experimental data, we can see that the BP neural network evaluation model in this paper has good comprehensive performance and significantly improves the calculation accuracy compared with the traditional analytic hierarchy process.

Spatiotemporal Differentiation of Coupling and Coordination Relationship of Tourism–Urbanization–Ecological Environment System in China’s Major Tourist Cities

Determining the coupling development mode and evolution process of the tourism–urbanization–ecological environment system is of great significance in promoting high-quality and sustainable development of tourism and the urban economy. In this study, an evaluation index system of the tourism–urbanization–ecological environment system was established, and the spatiotemporal differentiation of the coupling and coordination relationship of the tourism–urbanization–ecological environment system was analyzed for 35 major tourist cities in China from 2009 to 2018. The results show that the comprehensive development indices of the tourism industry subsystem and urbanization subsystem of China’s major tourist cities have steadily increased. The comprehensive development indices of large-sized and medium-sized cities in the east are relatively high. From 2009 to 2018, the coordination degree and coupling degree of the tourism–urbanization–ecological environment’ system of 35 tourist cities showed an upward trend. The growth rate of the coupling coordination degree lags behind the growth rate of the coupling degree, and the overall system coordination level is still low. There are significant differences in the coupling degree and coupling coordination degree among the eastern, central, and western cities. This study offers both theoretical and practical implications for further equalizing the development level between the cities, as well as improving the overall coordination between the tourism industry, urbanization, and the ecological environment in China.

Coupling Coordination and Prediction Research of Tourism Industry Development and Ecological Environment in China

Based on the data relevant to China’s tourism industry and ecological environment from 2005 to 2018, the entropy method and the coupling coordination degree model were used to analyze the coupling degree and coupling coordination degree of the tourism industry’s development and the ecological environment, and the GM (1.1) gray model was used to predict these values in the future. The model provided predictions and illustrated the trend in the changes in the degree of coordination between the development of China’s tourism industry and the ecological environment for the next five years. The results show the following. (1) The coupling degree between China’s tourism industry and the ecological environment was between 0.3 and 0.5. It was in the low-level coupling stage in 2005 and 2006 and generally low in 2005–2009, lower than the average level of 0.4204. In 2018, the coupling degree between the development of China’s tourism industry and the ecological environment was mainly in a stage of antagonism, reaching a peak of 0.4998 in 2013. The coupling degree declined slightly from 2013 to 2015 and then began to show an upward trend again in 2016. (2) The average coupling coordination level of China’s tourism industry development and ecological environment was 0.4266, which is in the medium coupling coordination stage. From 2007 to 2013, it was mainly in the phase of moderate coupling and coordination and high coupling and coordination from 2014 to 2018. (3) From the prediction results, the coupling degree will enter the coupling degree running-in stage in 2021 and the extreme coordination stage in 2023, but the coupling growth level during the running-in period will be significantly lower than the coupling coordination degree. Coordinated development of the two systems will take a long time, and active economic policies need to be adopted to promote their coordinated development.

Risk Assessment and Control Strategy of Residual Coal Pillar in Room Mining: Case Study in Ecologically Fragile Mining Areas, China

Gradual instability of coal pillars left behind underground with room mining is one of the main reasons for sudden roof caving in the gob, surface subsidence, and other significant hazards. Moreover, room mining implies great losses of coal resources. In this paper, the main failure mode and room mining coal pillar process were analyzed according to the coalfield regional engineering geological and hydrogeological conditions. A numerical model was adopted to study the effect of different sizes of coal mining pillars and progressive instability failure of coal pillar on the plastic zone’s evolution characteristics and stress field of coal pillars in the stope. The proposed technologies of cemented paste backfilling and reinforcement of residual coal pillars are applied, and a numerical simulation model is established to study the strata movement characteristics and analyze the stability degree of residual coal pillar and key aquiclude strata in the Pliocene series of Neogene. Consequently, the performance and application prospect were evaluated. The results obtained substantiate a new method for the long-term stability control of coal pillars in room mining and protecting the ecological environment in China’s western eco-environmental frangible area.

Study on land change based on principal component analysis

The Loess Plateau is the area with the most serious soil erosion and the most fragile ecological environment in China and even in the world. The deterioration of ecological environment may be closely related to unreasonable land use. In order to study the characteristics and driving factors of land use in small watershed of Loess Plateau, based on the land use data, DEM data and social data of Wuding River Basin in 1980, 1990, 2000, 2010 and 2018, this paper uses ArcGIS platform, land transfer matrix and land use dynamic degree to analyze them, and uses principal component analysis to discuss land use driving forces.

Does tourism industry agglomeration reduce carbon emissions?

The global level of climate change agreement and the extensive development of China's industrialization process have caused China to face severe pressures regarding energy conservation and emission reduction. Tourism industry plays an important role in promoting steady economic growth and improving ecological environment in China. The agglomeration economic effect it produces can reduce carbon emissions, but the crowding effect may not be conducive to low carbon development. Therefore, how to reduce carbon emissions while promoting the development of tourism industry has become an urgent problem. This paper measures the level of tourism industry agglomeration and carbon emission in 30 regions of China and uses the method of spatial econometrics to analyze the impact of tourism industry agglomeration on carbon emissions. The empirical results prove that tourism industry agglomeration can reduce the carbon emissions of local and neighboring regions in China. However, this does not mean that the larger the scale of tourism industry agglomeration, the more conducive to the reduction of carbon emissions. For developed tourism groups, the impact of agglomeration effect on carbon emissions of local and adjacent areas shows a U-shaped relationship. When the agglomeration level exceeds 1.963, the expansion of agglomeration scale will increase local carbon emissions. For underdeveloped tourism areas, there is an inverted U-shaped relationship between agglomeration level and carbon emissions both in local and adjacent areas. When the agglomeration level reaches 1.883, the expansion of agglomeration scale will reduce local carbon emissions. The conclusions provide a basis for Chinese government to guide the low-carbon development of the tourism industry from another perspective.

Coupling and coordinated development of new urbanization and agro-ecological environment in China

Agricultural ecological environment conservation is a major strategic mission for the sustainable development of China's agriculture and rural areas at present. Therefore, it is of great significance to examine the coupling and coordination relationship between new urbanization and the agro-ecological environment, and, accordingly, to establish China's sustainable agro-economic development model. However, this topic has not been adequately addressed in previous studies. To fill this gap, this study detailed an empirical investigation into the spatio-temporal differentiation of and influencing factors on the coupling and coordinated development of new urbanization and the agricultural ecological environment in China. First, aided by spatial analysis methods, a detailed analysis of the spatio-temporal patterns and dynamics of the coupling and coordinated development of new urbanization and the agro-ecological environment was conducted. The driving factors were quantitatively examined using the random panel Tobit model and the panel data modeling technique. The results indicate that the coupling degree between China's new urbanization and the agro-ecological environment ranges from 0.30 to 0.50, which is in the antagonistic stage. The degree of coupling and coordination is between 0.39 and 0.59, basically on the verge of imbalance and reluctant coordination. Most provinces lag behind in new urbanization. Panel data analysis demonstrates financial support for agriculture, rural economic development, environmental pollution control capabilities, and government capabilities significantly impacting the degree of coupling and coordination between China's new urbanization and the agro-ecological environment. Among them, financial support for agriculture and industrialization has different effects on the degree of coupling and coordination between the eastern and midwestern regions. Based on the findings of this study, a series of policy suggestions for improving China's new urbanization and agro-ecological environment is proposed.

Driving factors for coordinating urbanization with conservation of the ecological environment in China.

Urbanization is a dominant component of social and economic development around the world, but this process creates tremendous pressure on the ecological environment. How to achieve coordination between urbanization and conservation of this environment has become a key issue, especially in developing countries. It is necessary to identify the driving factors that affect this coordination. To identify these factors, we chose 290 Chinese prefecture-level cities to analyze the driving factors behind urbanization using spatial regression analysis, and explored the spatial differences among regions in these factors. Our results show that industrial upgrading and technological progress were the main factors that promoted coordinated development, with industrialization having positive effects under government management, but with differences among regions in how the driving forces affected coordinated development. Using technological progress to promote industrial upgrading, creating new employment to absorb surplus rural labor, and providing workers with skills training so they can take advantage of new jobs can promote win-win solutions that coordinate urbanization with conservation of the ecological environment.

中国生态建设回顾与展望

伴随着我国四十多年的经济快速发展和生态环境问题的日益严峻，生态建设得到了越来越多的重视，尤其是党的十八大以来，生态建设的战略地位大大提升。我国生态环境虽然经过了几十年的治理，但是生态环境质量仍然有较大的上升空间，我国仍处于重大生态工程的密集实施期。总结过去生态建设的发展历程和历史经验，可为我国未来生态工程的实施和效益提升提供一些启示和借鉴，促进我国生态文明的建设。通过对新中国生态建设历程的回顾与展望，结果表明：（1）以1978年、2000年为界，将新中国生态建设历程划分为生态建设启蒙认识阶段、生态建设启动实施阶段和生态建设快速发展与生态文明发展阶段。（2）我国的生态建设取得了巨大成就：林草植被得到恢复，退化土地得到治理；山区牧区产业产值不断增加，农牧民收入不断提高，脱贫攻坚任务逐步完成；生态文明和绿色发展理念基本形成。（3）未来的生态建设需要倾向于通过绿色发展模式，减少经济系统对生态系统的压力，以侧面支援生态建设；认清生态建设自身发展规律，建立科学的生态工程启动和退出机制，以避免生态工程建设时段错位；提高生态工程的动态管理水平，提升生态工程建设和管理质量。;With the rapidly economic development for more than 40 years and the increasingly severe problems of ecological environment in China, more and more attention has been paid to ecological construction. The strategic position of ecological construction has been greatly enhanced since the 18th National Congress of the Communist Party of China. Although China's ecological environment governance has been implemented for decades, the quality of ecological environment should still be improved much better, and now, China is still in the intensive implementation period of major ecological projects. Summing up of the development course and historical experience of ecological construction can provide some enlightenment and reference for the implementation and benefit promotion in the future and promote the construction of ecological civilization in China. China's Ecological Construction course has been reviewed in this paper, and three stages had been divided according to the comparison of ecological destruction and ecological protection forces in different periods. Finally, we put forward some suggestions and prospects for the ecological development. Main points were as follows:(1) Bounded by 1978 and 2000, the course of ecological construction in China was divided into three stages:the initiation stage of ecological construction dominated by ecological damage and lack of ecological protection, the start-up stage of ecological construction with less ecological protection than ecological damage, and the rapid development of ecological construction and ecological civilization stage with more ecological protection than ecological damage. (2) Great achievements have been made in the implementation of China's ecological construction:vegetation of forest and grass has been restored, degraded land has been effectively managed, the industrial output value in mountainous and pastoral areas has been increasing, in the income of farmers and herdsmen has been continuously improved, and the task of overcoming poverty has been gradually completed, and the ecological civilization and green development concept have been formed in the development of ecological projects. (3) In future ecological construction, we should reduce the pressure of the economic system on ecological system through the green development model to support ecological construction laterally. We should recognize the law of ecological construction development and establish a scientific start-up and exit mechanism of ecological project to avoid the dislocation of construction period in ecological project. And, we should also improve the dynamic management level of ecological projects to promote the quality of ecological construction projects and management.