Manufacturing reconstruing has always been a focus of academics, yet how will regional integration and greenization reshape manufacturing space needs further exploration in the context of economic transition. By reffering to the regional division index, industry specialization index, regional Gini coefficient and kernel density estimation, this paper analyzed the restructuring characteristics and driven mechanism of manufacturing in the context of regional integration and greenization based datas from counties of Jiangsu Province along the Yangtze River between 1990 to 2016.The major results were: with the deepening of regional integration and greenization, structural disparity of manufacturing was small first, then expanded and later shrinked, while sectoral homogeneity weaken first and later strengthen. Manufacturing presented an initial concentration before latter dispersal, since in early stage of regional integration "polarization" was stronger than "diffusion", while the improvment of integration and greenization brought stronger diffusion effect. Pollution-intensive chemical industry had spreaded to north of Yangtze River, areas of coastal, away from Yangtze Riverbank line as well as rural and administrative cross border districts. Regional integration and greenization, by means of an interaction involving policy flattening and environmental regulation, active expansion and passive migration of enterprises as well as technology diffusion and green innovation, had significant implications on manufacturing restructuring.

Under the background of the new normal of China’s economy, the innovation efficiency enhancement and quality improvement of enterprises in high-tech zones can prominently step up the innovation ability of high-tech zones. From the perspective of the innovation value chain, the innovation process of enterprise was classified as two stages, namely, technology development and economic transformation, in this article. More specifically, this article analyzed the overall innovation efficiency, technology development efficiency and economic transformation efficiency of twelve national high-tech zones, eleven technical fields and enterprises of different technical types in twelve national high-tech zones in Jiangsu Province in 2016, along with their influencing factors, by using two-stage DEA model and Tobit Regression model. The results show that: (1）national high-tech zones in Jiangsu Province still has great room for improvement in terms of the overall innovation efficiency, among which the technology development efficiency is slightly higher than the economic transformation efficiency. (2）The technical fields with high innovation efficiency mainly include electronic information, new materials, etc., while the overall innovation efficiency in the technical fields of biomedicine, environmental protection and opto-mechatronics are at a low level. (3）Four models of innovation resource utilization are classified based on boundary line with average efficiency of two stages. Most of enterprises are in high-development and low-transformation model, as well as low-development and high-transformation model, indicating the disconnection between technology innovation and economic transformation. (4）The influence of the level of capital input, high-quality labor force, workforce and government support on the innovation efficiency of enterprises is obviously different in different stages. Finally, according to the research results, the policy suggestions for improving innovation efficiency of enterprises in high-tech zones include strengthening the knowledge exchange network, retaining diversified talents, adjusting resource input and output evaluation methods and developing one’s strengths and making up one’s weaknesses.

Considering the impact of environmental factors on the efficiency of tourism industry is a hot issue in current tourism research. Based on the total amount of tourism carbon emissions in the Yangtze River Economic Zone from 2011 to 2017, this paper uses traditional DEA model and non-radial SBM model to analyze the impact of carbon emissions on tourism industry efficiency, and further explores the spatial and temporal dynamics of tourism industry efficiency and its impact mechanism under the constraint of carbon emissions. The main conclusions are as follows: (1）The total carbon emissions of tourism in the Yangtze River Economic Zone are increasing year by year, and Shanghai has always maintained the largest, followed by Sichuan Province, while Anhui Province is the only province whose total carbon emissions have declined; and (2）carbon emissions have a certain negative impact on the efficiency of tourism industry. In terms of time series, the comprehensive efficiency of tourism industry is low under the environmental constraints of the Yangtze River Economic Zone. Guizhou Province has always been in an efficient state, and Shanghai has fallen considerably. From the perspective of spatial pattern, the spatial differences between upstream and downstream areas are large, and the middle reaches are shrinking gradually. The main reason lies in the uncoordinated development of decomposition indicators, especially the scale efficiency. (3）From the perspective of influencing factors, tourism economic development level, the specialization degree of tourism industry,urbanization level and energy consumption level have a significant positive impact on the efficiency of tourism industry under the constraints of carbon emissions,among which the specialization degree of tourism industry and urbanization level has greater impact. However, the level of industrial capital and transportation development is not conducive to the improvement of tourism industry efficiency under the constraints of carbon emissions.

The tourism flow is a series of economic and social effect caused by the concentration and diffusion of tourists in spatial area,and it is the nerve center and vessel of tourism system.Former studies on tourism flow are mostly concentrated on realistic tourism flow instead of virtual tourism flow,and data acquisition is based on questionnaire or statistical data of scenic spots which has limitations.The paper,supported by Baidu index and based on the substantial and accurate data,constructs O-D virtual tourism flow matrix to conduct research on the characteristics of regional virtual tourism flow and uses the Geographic Weighted Regression(GWR）model to analyze the influencing factors of virtual tourism flow in different cities from two aspects of inflow and outflow.The following results can be obtained:(1)The virtual tourism flow in the Yangtze River Delta is unevenly distributed and has strong mobility,forming a radial network with Hefei,Nanjing,Suzhou,Hangzhou and Shanghai as the core nodes.(2)The number of A-level scenic spots,accommodation and catering industry employees and highway mileage can better explain the distribution of the inbound virtual tourism flow.Among them,the A-level scenic spots have the most significant impact on the inbound virtual tourism flow.The development of accommodation and catering industry has a driving force to the inbound virtual tourism flow in northwest of the Yangtze River Delta,and the mileage of highways has the least impact on the inbound virtual tourism flow throughout the Yangtze River Delta.(3)Private car ownership,total retail sales of consumer goods,and Internet broadband user access have a strong impact on outbound virtual tourism flow.The economic factor represented by the total retail sales of consumer goods is the decisive factor for the outbound virtual tourism flow.The more developed the economy is,the more people want to travel.They are also more willing to use the network to capture tourism information flow and pursue high-quality tourism travel behavior.

Based on the theory of planned behavior and the survey data of Beijing, the ordered logit model was used to demonstrate the influencing factors of the public’s willingness to adopt old and valuable trees. The research showed that the public’s attitude, subjective norm, perceived behavioral control on the protection of old and valuable trees and demographic characteristics such as age, work, relevance between work and resource protection, whether there are old and valuable trees near the residence had significant influence on the public’s willingness to pay in adoption and willingness to take pains in adoption. In order to improve the public’s willingness, it was suggested that the public’s joy of participation in protection should be enhanced firstly, and the support of people around should be strengthened, the difficulties in adoption should be overcame, the publicity of the benefits in adoption should be strengthened, the publicity channels about adoption should be increased, the publicity for specific groups should be carried out at the same time.

In order to evaluate the effectiveness of soil and water conservation in the water source area of Middle Route of South-North Water Diversion Project, as well as provide scientific basis for formulating soil and water conservation measures at the present stage, the remote sensing data were used to study the changes in ecosystems in the water source area from 2010 to 2015, including 39 districts and counties, and the spatio-temporal distribution in soil retention capacity was also assessed using the InVEST model. The results show that, through implementing forest-grass measures, comprehensive management of small watershed and other ways, the areas and landscape patterns of natural ecological lands in water source area have been improved and optimized from 2010 to 2015, and the effects of soil and water conservation control were achieved, which mainly seen in three aspects:(1）The area of “sink” landscape types, such as wetlands, shrubs and forests that alleviate sediment loss, increased by 11.49%, 0.29% and 0.11% respectively, while their connectivity increased and fragmentation decreased. The areas of “source” landscape types, such as farmland and bare land that promote sediment loss, decreased by 2.24% and 2.39%, respectively, while their connectivity decreased and fragmentation increased.(2）The restoration effect of vegetation was quite good, and the average vegetation coverage in the water source area increased from 63.06% to 72.33%.(3）The average soil retention capacity per unit area of ecosystem enhanced by 2.74 t/hm2, with an increase of 0.73%, and the areas with improved soil retention capacity accounted for 79.34%. More attention should be paid to the management of the soil retention capacity in the agricultural plain areas with highly dense population distribution such as Hanzhong Basin, Danjiangkou reservoir area, central and southern Xichuan, where the spatial connectivity of cultivated lands and bare lands can be reduced by implementing hedgerows and planting fruit forests having economic benefits, thus to enhance the soil retention capacity.

Hanjiang River Basin is the water source area of the Middle Route Project of South to North Water Diversion, and forest covers play an important role for the protection of ecological security at this place. In order to monitor the forest cover change of Hanjiang River Basin during 2007-2017, Google Earth Engine platform was used to deal with the Landsat multispectral images and ALOS (Advanced Land Observation Satellite）SAR data at the whole area. According to the regional characteristics, nine characteristic indexes were selected from both of the Landsat multi-spectral and ALSO SAR images, and random forest classification method was applied to extract the forest distribution in 2007 and 2017 for monitoring changes in forest cover in the Hanjiang River Basin. The results show that the overall accuracy of forest cover classification is 98.0% at 2007 and 98.6% at 2017, which is significantly higher than that of forest classification by using only Landsat multispectral data or ALOS SAR data. The forest cover area of Hanjiang River Basin increased by 5 653.21 km2 from 2007 to 2017. For the Xixia and Nanzhao of Henan Province and Danjiangkou Reservoirs, forest covers illustrated an increasing trend, while the forest covers around Jingmen City,Shiyan City and Hanzhong City showed a decreasing trend.

Healthy ecosystem and harmonious development of man-land relationship are of great significance to guarantee the water quality in Danjiangkou reservoir area and the smooth operation of the Middle Route Project for South-to -North Water Transfer in China.Taking Danjiangkou reservoir area, the water source of the Middle Route Project for South-to-North Water Transfer as the research area. Getting multi-temporal remote-sensing images (1991, 2000,2010, 2018）in the Danjiangkou reservoir area, the researchers interpreted the images to obtain the land use data using the object-oriented classification method based on samples. Building the model of ecosystem services value assessment, ecosystem service flow gain-and-loss matrix and the human activity intensity index assessment based on the land use data. In order to explore the characteristic of spatial-temporal correlation between the two in Danjiangkou reservoir area, the human activity intensity index was correlated with ecosystem services value by bivariate spatial autocorrelation method. The results indicated that: In Danjiangkou reservoir area, the construction land, woodland , reservoir and rivers showed an overall growth trend, while the farmland, shrub grassland, ponds, wetland and unused land showed an overall decrease trend from 1991 to 2018. The ecosystem services value in Danjiangkou reservoir area increased by 43.93×108 yuan and it showed a fluctuating trend between 1991 and 2018. The loss of the ecosystem services value in Danjiangkou reservoir area mainly came from the conversion of woodland into farmland and construction land, and shrub grassland into farmland. The gain of the ecosystem services value in Danjiangkou reservoir area was mainly from the conversion of farmland into woodland, reservoir and rivers. In terms of the intensity distribution of human activity in the danjiangkou reservoir area from 1991 to 2018, low intensity areas were the main. The medium-high intensity areas were clustered in the east of the reservoir, the high-intensity areas were clustered in small pieces and have been increasing. And there was a negative relationship between the ecosystem services value and the human activity intensity in Danjiangkou reservoir area from 1991 to 2018, and it showed a trend of first strengthening and then weakening.

In order to reveal the spatial and temporal response of the Fuhe River Basin, the watershed runoff has been lasting influence on the land use in recent decades.In view of it, the land use maps have been obtained by monitoring and classification of the remote sensing images in 2003, 2010 and 2017. Meanwhile, based on SWAT model, the impacts of land use change on runoff and the quantitative analysis and studies, the results have been shown that :(1）The change of land use during the period from 2003 to 2010 and from 2010 to 2017 has been presented in a similar and consistent manner, in which the area of forest and urban land use has been increased continuously, while the remaining types of land use have been showing a decreasing trend.(2）SWAT model has been applied with a good applicability in the runoff simulation of Fuhe River Basin, in which the indicators of R2 and ENS in lijiadu hydrological station have shown greater than 0.85, while the indicators of R2 and ENS have been greater than 0.80 except the indicator for ENS has been 0.77 at shaziling hydrological station.Meanwhile, the relative error of both stations has been less than 20%. (3）According to the meteorological data during the period of 2010-2016 and other setting threshold under the same conditions, only change the land use map input, the area of the forest land has increased and the area of the cultivated land and grassland has decreased as the land use map has been entered, which has brought about the result that the average monthly runoff amount in the years of 2010 has dropped that that in 2003 by 0.65 m3/s, at the same time, the average monthly runoff amount in the 2017 years has been a decrease by 0.41 m3/s, comparing with that in 2010. The major differences have been reflected with a slight change at the early stages compared to the later stages of the years.The difference between the latter period and the former has been related to the slow growth of forest land and the rapid growth of urban land. (4）During the first stage from 2003 to 2010 and the second stage from 2010 to 2017, the runoff coefficient in the most areas of the basin has shown in a state of decline. The increase of forest and grassland area has produced an effect on the runoff coefficient with a dropping trend, while the increase of runoff coefficient has been generally caused by the increase of cultivated land, urban land area and the decrease of forest area.

Based on Landsat 8 remote sensing images with a 30m spatial resolution acquired in 2015 the Urban Development Area of  Wuhan, this paper retrieved Land Surface Temperature (LST）using atmospheric correction method. This study sought to analyze the spatial-temporal distribution of LST in urban development area, ecological green wedge and main urban area, so as to provide reference for the planning of urban spatial distribution and the mitigation effect of Urban Heat Island (UHI）more comprehensively and scientifically. The results show that: (1）Compared with ordinary least squares regression (OLS), linear stepwise regression (LSR）can find the multiple driving factors combination model. Compared with the results of LSR fitting, the R^2 value of GWR model is improved by 0.04~0.09. (2）The “high-high” cluster occurred mainly in the main urban area, the new town development area and the main traffic line covered with artificial surface, which was more prone to high temperature cluster. Furthermore, the “high-high” cluster had the largest number and proportion in summer, while the “low-low” cluster occurred mainly in the major lake water systems in four seasons. (3）The ecological land of the ecological green wedge had different cooling range. The cooling range was not obvious in spring, but was most obvious in summer. The temperature drop of each green wedge was more than 2℃. In a certain buffer range, LST increased with the distance from green wedge。When the buffer range reached a certain distance, LST tended to be gentle or downward with the increase of the distance from the green wedge. (4）Compared with previous studies, the explanation of LST change in landscape pattern is generally lower, which may be due to the increase of artificial surface area caused by rapid urbanization and the increase of artificial green space. So it makes the urban landscape pattern more fragmented and LST affected by a variety of interaction factors. (5）The driving factors of LST in four seasons were quite different in space. The regression coefficients of land cover and landscape pattern in summer were positive, and so were land cover, landscape pattern and human activities in winter. It indicated that these driving factors had obvious effect on integral warming under high or low temperature.

Water energy resources in the upper reaches of the Yangtze river are of great significance for China’s energy development. Studying the hydrological cycle and abrupt change rule of water levels in upper reaches of the Yangtze river can prevent the agricultural losses caused by drought and waterlogging in advance. The linear regression method is used to interpolate and extend the water level data of Qingxichang hydrological station in the upper reaches of Yangtze River. Then, the periodicity and catastrophe characteristics of the water level series in the dry season(Jan. to Mar.）and the rainy season(Jun. to Aug.）from 1890 to 2002 are compared and analyzed by wavelet analysis method and Mann-Kendall method. The results show that: (1）The water level in the dry season was higher from 1890 to 1940 and lower from 1940 to 2002; the water level changed frequently in rainy season and remained low after 1965; （2）The water level in dry season has a 5-8 years interannual periodic variation, and is significant from 1900 to 1950. The main cycle of the water level in the rainy season is the decadal change cycle of about 35 years, and there is a significant annual change cycle of about 8 years from 1940 to 1960; (3）During the dry season, the water level changed from high to low after 1933, it continued to be low after 1940. In the rainy season, the water level changed from high to low after 1957, it decreased more in 1965,the water level decreased significantly by the year 1993 and increased after 1997;（4)The changing trend of the surface rainfall in the upper reaches of Yangtze River is consistent with the changing trend of water level in Qingxichang hydrological station. The East Asian summer monsoon was weak and the climate in the upper reaches of the Yangtze River was wet during the small ice age of Ming and Qing Dynasties, and the water level was high as a whole. In the 1930s and 1940s, the global climate was relatively warm, and the East Asian strong summer wind leads to the rain belt locating partial north, the upper reaches of Yangtze River became drier and turned to have a low water level as a whole.

With the continuous deepening of urbanization in China, a large number of agricultural land is occupied by construction, which seriously threatens the food security and ecological environment. Therefore, it is an important foundation for protecting agricultural land to obtain the time and space information of construction land in time. In this paper, based on the long time series Landsat images, a method about extracting the information of agricultural land occupied by construction is proposed. Firstly, the original time series and interannual change rate series of various indexes are constructed. According to the interannual change rate series, the indexes that can distinguish the agricultural land occupied by the construction are selected. Then, the outlier detection algorithm is used to detect the outliers of the interannual change rate series to obtain the land use changed pixels and change time. Finally, according to the change time, the original time series is segmented three sub-series, and compared with the sub-series corresponding to the original time series of construction land and agricultural land to identify the pixel of agricultural land occupied by construction. The experimental result shows that the method can quickly obtain the change time and spatial location information of the agricultural land occupied by construction land. The overall accuracy of change time is 89.35%, and the kappa is 0.88. The overall accuracy of spatial position is 93.49%, and the kappa is 0.91.

In recent years, composite pollution caused by particulate pollution and photochemical pollution has become an important pollution problem in large urban agglomerations. Based on the air quality monitoring data of 26 cities in the Yangtze River Delta Urban Agglomeration (YRDUA) in 2017, we analyzed the time series characteristics and pollution status of O ₃ and PM _2.5 in the region using mathematical statistics method. Then the grid data of O ₃，PM _2.5 was generated by inverse distance weight model to analyze the spatial distribution pattern of O ₃ and PM _2.5 in the region. Finally, combined with the meteorological factors of ECMWF in the same period, we discussed the effect of meteorological conditions on the concentration of O ₃ and the thresholds for the formation of high O ₃ concentration. The results show that: (1) The O ₃ concentration in YRDUA is highest in May and September, and the daily variation of O ₃_8 h is characterized by a tensile S curve, which reaches the peak concentration at 19:00 and 20:00. The maximum peak concentration is 111 μg/m ³ in Chuzhou; The spatial distribution of O ₃ gradually decreased from north to south, and spring(136.57 μg/m ³)> summer(117.35 μg/m ³)> autumn(83.23 μg/m ³)> winter(77.06 μg/m ³); O ₃ is significantly correlated with its precursors CO and NO₂. When 15<T≤20℃, 100<PRS≤100.5 kpa, O ₃ pollution is the most serious. (2) Monthly variation of PM _2.5 concentration is irregularly U-shaped distribution, the trough period is in July and August, the daily variation is double-peak trend, the first peak in Shanghai, Zhejiang region occurs at 9:00 or 10:00, in Anhui, Jiangsu region occurs at 11:00 or 12:00, the second peak is at 21:00; PM _2.5 concentrations higher in inland cities than in coastal cities, Winter(62.21 μg/m³)> Spring(44.70 μg/m³)≈ Autumn(44.14 μg/m³)> Summer (31.33 μg/m³); Compared with NO   and SO₂, PM_2.5 and CO are more relevant; O3 is positively correlated with temperature and relative humidity, negatively correlated with wind speed, wind direction, air pressure, boundary layer height, and precipitation, PM_2.5 is positively correlated with wind direction and air pressure, and negatively correlated with other factors; The temperature is less than 5℃, 100<PRS≤100.5 kpa, PM_2.5 exceeding standard rate is highest in YRDUA.

The spatiotemporal dynamic change of vegetation cover can well reflect the climate change. Based on the monthly data of MODIS NDVI from 2000 to 2016 and the precipitation and temperature data of the grid within the same period, the spatial and temporal changes of NDVI in Anhui Province and its relationship with meteorological factors are explored in this paper. The results show that: （1）NDVI in Anhui Province shows a significant increase trend, with average growth rate of 5.7-11.3×10 ^-3/a in the whole province. Among which dryland grows faster, while broad-leaved forest and shrub grows slower. In terms of time, there is a pronounced tendency from October to next March except paddy field, but not obvious from June to September. Spatially, the mountain areas in southern Anhui, Dabie Mountain Areas and Huaibei Plain are growing rapidly. （2）Monthly average NDVI has correlation with temperature or precipitation in each vegetation type. Moreover, the correlation has a one-month lag. That is, NDVI had the strongest correlation with last month's temperature or precipitation. （3）On pixel-scale, the partial correlation between NDVI and temperature is very strong. The area with positive correlation reaching 0.01 significance accounts for 92.2%. However, the partial correlation with precipitation is weak. The area with positive correlation reaching 0.01 level only accounts for 8.2%. Driving factors analysis of monthly NDVI show that 75.0% is temperature-driving type, and 15.3% is precipitation and temperature co-driving type. The results of this study can provide a theoretical reference for the management and protection of regional ecosystems under global warming of terrestrial ecosystems.

his research analyzed the temporal and spatial variation characteristics of total solar radiation, accumulated temperature above 10℃, precipitation and temperature diurnal range during growing season of summer maize and their effects on meteorological yield of summer maize in Huaibei area of Anhui Province, by the means of climate tendency rate, M-K mutation test, correlation analysis and regression analysis, based on the data include daily meteorological data on 24 meteorological stations in Huaibei area of Anhui Province from 1961 to 2018,as well as the yield data for summer maize of corresponding cities (counties) from 1961 to 2014. The result showed that (1) for summer maize in Huaibei Area of Anhui Province during 1961-2018, the total solar radiation and temperature diurnal range both declined significantly (P<0.01) in the whole growth stage, vegetative stage, vegetative and reproductive stage, as well as the reproductive stage. And the accumulated temperature above 10℃ and precipitation increased insignificantly (P>0.05). In terms of spatial distribution, the total solar radiation and temperature diurnal range gradually decreases from north to south; The spatial variation of accumulated temperature above 10℃ was not significant; The precipitation generally showed radial distribution, while the high value area was located in the east of Huaibei. (2) In recent 58 years, the total solar radiation and diurnal range of summer maize in Huaibei region of Anhui province mutated from a large amount to a limited amount in 1981 and 1982 respectively, and decreased by 220.1 MJ·m^-2 and 0.7℃ respectively after mutation; And there was no obvious mutation in the accumulated temperature above 10℃ and precipitation. (3) Precipitation is the main meteorological factor that affected the summer maize meteorological yield in Huaibei area，and had quadratic relations between meteorological yield. The accumulated temperature above 10℃ had a negative effect on the meteorological yield for summer maize，reaching a significant level (P < 0.05) in vegetative and reproductive stage. Meanwhile, the influence of total solar radiation and diurnal range is insignificant. The comprehensive effect of change for climatic resources on meteorological yield of summer maize reached significant level (P <0.05) in the whole growth stage as well as the vegetative and reproductive stage, and reached extremely significant level (P <0.01) in the reproductive stage. (4) In the process of summer maize planting, strengthening construction of water infrastructure can contribute to the improvement of the ability to control water, thus the meteorological yield for summer maize in Huaibei area would increase.

The analysis of the spatial differentiation, space-time evolution and topography effects of Enhanced Vegetation Index (EVI) in the mountainous region of Western Hubei can provide theoretical support for the overall protection and zoning protection of the ecological environment in the region, as well as scientific basis for the formulation of targeted vegetation protection policy. Based on MOD13Q1 EVI data, this paper studies the temporal and spatial variation trend of EVI in the mountainous region of Western Hubei from 2000 to 2018 with unitary linearity regression trend analysis , and discusses its response mechanism to terrain by combining the data of elevation, slope and slope direction. The results show that: (1) The EVI values in the mountainous region of Western Hubei are generally low in the north, high in the middle and south, and low in the east and high in the west. From 2000 to 2018, the average value of EVI in the mountainous region of Western Hubei ranges from 0.57 to 0.66, showing an overall improvement trend. (2)The variation trend of EVI is mainly basically unchanged, accounting for 85.74% of the total area of the Western Hubei mountain region; slightly reduced and significantly reduced areas accounted for only 0.23% and 0.17% of the total area respectively, with scattered distribution; slight increase and significant increase accounted for 8.35% and 5.51% respectively, mainly concentrated in the Northern and central Danjiangkou City, Yunyang District, Yunxi County, Gucheng County, Nanzhang County, Shennongjia and other areas. (3)Areas with an altitude of less than 700 m and a slope of less than 14° are the main vegetation degradation areas in the mountainous region of Western Hubei; the areas with an altitude of 700-1 700 m and a slope of more than 14° are the main vegetation improvement areas. It is suggested that the attention should be paid to the protection of vegetation at low-altitude and slow-slope areas in the mountainous region of Western Hubei in the future.

A faster speed of urbanization causes a series of problems to ecological environment which is the material base for human’s survival and development. However, the changes of the ecological environment can be evaluated by remote sensing technology in a quick and quantitative manner. Landsat remote-sensing images in 2000, 2009 and 2017 were used to extract four evaluation indexes, namely, humidity, greenness, dryness and heat. The principal component analysis was also used to calculate RSEI (Remote Sensing Ecological Index) to carry out quantitative analysis and dynamic monitoring evaluation on the ecological environment change of Yongjiang River Basin during the 17 years. Results show: (1) The ecological environment in Yongjiang River Basin in 2000-2017 declined generally. RSEI in 2000, 2009 and 2017 was 0.724, 0.651 and 0.687 respectively. The total decline over the past 17 years was 5.11%. (2). The ecological environment in Yongjiang River Basin in 2000-2009 deteriorated gradually but improved in 2009-2017; The area that became worse obviously is 1 392.49 km ², accounting for 29.63% approximately while the area that became better obviously is 699.1 km ² only, accounting for 14.88% only. Generally speaking, the old urban area becomes better while the urban pheripheral area of cities become worse; forest, farmland, etc. maintain stable. (3) Among the four indexes, greenness exerts significant influence and the influence of heat affected by architecture is most potential, which implies that the reduction of ecological environment quality is related to the increase of impervious surface and the reduction of green landscape.

Influenced by natural environment and human activities, rocky desertification in the karst region of southeast Yunnan is serious, degrade ecosystems have been restored to some extent through a series of ecological conservation projects that started in 2000. In the present study, based on MODIS-NDVI data, the pixel dichotomy model was used to extract fractional vegetation cover(FVC), spatio-temporal variation characteristics of vegetation cover and its climate and human factors from 2000 to 2016 was investigated. Results show that the FVC in the study area showed a general trend of increase in recent 17 years, the growth rate was as follows: spring (0.005 0/a) > winter (0.004 3/a) > autumn (0.004 0/a) > summer (0.000 3/a), and the annual growth rate was 0.003 6/a. Since 2000, the area with an increasing trend of FVC accounted for more than 85% of the total area of the study area, while in the central area of city and county, it was mainly reduced. FVC was positively correlated with temperature and precipitation. From 2000 to 2016, the area affected by human activities in the study area increased continuously accounting for 80.54% of the total area, decreased continuously accounting for 13%, and remained unchanged accounting for 6.46%. The influence of human activities on the change of FVC showed a trend of continuous strengthening. Overall, the rocky desertification control projects play an important role in increasing vegetation cover.

Based on mathematical derivation, this paper establishes a theoretical analysis framework between farmers' green production technology benefit cognition and adoption behavior, and uses the 946 field research data obtained in the main grain producing area of the Yangtze River in August 2017 to build Heckman. The sample selection model and the binary Probit model analyze the effects of benefit perception on the adoption behavior of green production technologies. The research results show that (1) farmers' perceptions of different benefits of green production technology have different effects on their adoption behavior and adoption level. Farmers' adoption of green production technology is significantly positively affected by social benefit perception and ecological benefit perception. The degree of adoption is significantly positively affected by economic benefit perception and social benefit perception. (2) Farmers' influence on the green production technology of different production links is affected by different benefits. The adoption behavior of prenatal green production technology is significantly positively affected by the recognition of economic benefits and social benefits; the adoption behavior of green production technology in production is significantly positively affected by the recognition of social benefits; and the green production technology of postpartum links is adopted. It is significantly positively affected by social benefit perception and ecological benefit perception. Based on this, this paper believes that the government agricultural technology promotion department should select the training objects and training content when conducting green product technology publicity and training.

This study uses panel data of major wheat producing provinces in China from 1998 to 2016 to investigate the impact of environmental regulation on the wheaten green total factor productivity (GTFP). The empirical investigation adopts Malmquist-Luenberger index and a spatial econometric approach which allows for spatial interactions among observations. Some key results show that: (1) Significant spatial autocorrelations exist in wheaten GTFP. Environmental regulation can promote the technological innovation in local and adjacent provinces, and further promote the growth of wheaten GTFP in local and adjacent provinces which indicates the positive spillover effects of environmental regulation on wheaten GTFP; (2) A significant “inverted U” relationship is found between the intensity of environmental regulation and wheaten GTFP. Specifically, the western regions are located in the left side of turning point whereas the central regions are located in the right side of turning point, which suggest the inexistence of strong “Porter Hypothesis” in China’s wheat industry; (3) The extensive growth of wheat industry is at the cost of destroying the ecological environment because results show that the GTFP of wheat is significantly lower than the traditional wheaten TFP.

Based on the survey data of farmers in Jiangxi and Hunan provinces in 2017, this paper empirically analyzed the impact of heavy metal contaminated cultivated land rehabilitation pilot project on the production behavior of surrounding farmers, and examines the heterogeneity of the its spillover effect on the production behavior of farmers. The results show that the launch of the pilot project of heavy metal pollution treatment causes the reduction of the rice planting area and its proportion among surrounding farmers. But the farmers’ adoption of cultivated land restoration technology is increased through technology spillovers. Further analysis finds that in areas close to the pilots of risk management, risk-averse farmers reduced rice cultivation, but increased the application of technology to control pollution. Farmers with lower time preference waited for policy pilots to be expanded, which would not change the scale of rice cultivation but would reduce the investment in treatment technology. Farmers located around the pilot area increased the rice planting area, but reduced the amount of treatment technology adopted over time. The conclusions of the study provide a meaningful reference for the treatment of heavy metal pollution in cultivated land in China and the expansion of the pilot experiment.

The popularization and application of the soil test formula fertilization technology is of great practical significance to the realization of reducing the quantity and increasing the efficiency of chemical fertilizer and the sustainable development of agriculture in China. Based on 755 farmers' micro-survey data in hubei province in 2018 and from the perspective of technology promotion and subdivision, this paper analyzed the influence of service supply on the adoption of rice farmers′ soil testing and formula fertilization technology, and further discussed the mechanism of action between the two. It was found that: first, the rice farmers in the sample area had low adoption rates, only 25.7%, and the service supply of all technical promotion links was limited, less than half. Secondly, the service supply of soil measurement, supply and fertilization guidance had a significant positive impact on the adoption of rice farmers′ technology. Third, the service supply improves the probability of adoption of soil testing and formula fertilization technology for rice farmers by improving the ability of distinguishing fertilizer, enhancing the cognition of scientific fertilization and the importance of green production. In this regard, it is suggested to increase the service supply of each segment of agricultural technology promotion, strengthen the cooperation between the government and enterprises, and speed up the transformation of agricultural technology promotion concept, so as to finally realize the popularization and application of technology.

Based on the theory of planned behavior, construct a theoretical analysis framework for the formation mechanism of farmers' green production behaviors, using a structural equation model and survey data on fertilization behaviors of 860 citrus growers in Sichuan and Chongqing, based on the perspective of farmers' perceived heterogeneity, it explores the formation mechanism of farmers' green production behavior from the logic of "internal and external factors-subjective perception-willingness-behavior". Research shows that farmers' knowledge and market environment perceptions have a significant impact on behavioral attitudes, subjective norms, and perceived behavioral control. Government incentives and regulations have a significant impact on behavioral attitudes, subjective norms. Organizational participation has no significant impact on it. Behavior attitude, subjective norms, and perceived behavior control have a significant impact on farmers' green production willingness. Perceived behavior control and green production willingness have a significant impact on farmers' green production behavior. Policy satisfaction has a positive regulating effect on the willingness and behavior of farmers 'green production. There are multiple paths to promote green production behaviors of farmers, among which the knowledge effect has the largest effect. Based on this, this article believes that improving farmers' green production knowledge, improving the service level of industrial organizations, strengthening agricultural market supervision, and improving government incentives and restraint mechanisms can promote farmers to implement green production behaviors.

Whether the confirmation of farmland rights promotes the circulation of farmland is one of the focuses of debate in the academic circles at present. This paper seeks a consistent explanation from the way of confirmation of farmland rights. By constructing the theoretical analysis frame of “ways of farmland right confirmation”→“the incentive effect, the transaction cost effect, the price effect”→“farmers′ farmland transfer multidimensional decision”. Based on the data of 1 490 farmer households in Yunnan, Guizhou and Sichuan provinces, this paper makes an empirical analysis by using the method of propensity score matching and instrumental variables model. The results show that: The results show that: first, it is not appropriate to simply think that the confirmation of farmland right promotes or restrains the circulation of farmland, and the decision-making of farmland circulation of peasant households is related to different ways of confirmation of farmland right, the way of confirming “rights without area” has significantly increased the probability of farmland transfer, but the influence of that confirmation “both right and area” is not significant; second, the confirmation of the right of farmland mainly reduces the transaction costs by promoting the formalization of farmland transfer contract, the way of confirming “rights without area” further improves the transaction scope and the proportion of transferred area; third, neither the right confirmation nor the different ways has significantly promoted the growth of land rent.