Spatial disparities of regional forest land change based on ESDA and GIS at the county level in Beijing-Tianjin-Hebei area

Forest land is the essential and important natural resource that provides strong support for human survival and development. Research on forest land changes at the county level about its characteristics, rules, and spatial patterns is, therefore, important for regional resource protection and the sustainable development of the social economy. In this study we selected the GIS and Geoda software package to explore the spatial disparities of forest land changes at the Beijing-Tianjin-Hebei area county level, based on the global and local spatial autocorrelation analyses of exploratory spatial data. The results show that： 1） during 1985-2000, the global spatial autocorrelation of forest land change is significant in the study area. The global Moran＇s I value is 0.3122 for the entire time period and indicates significant positive spatial correlation （p 〈 0.05）. Moran＇s I value of forest land change decreases from 0.3084 at the time stage I to 0.3024 at the time stage II; 2） the spatial clustering characteristics of forest land changes appear on the whole in Beijing- Tianjin-Hebei area. Moran＇s 1 value decreases from the time stage I to time stage II, which means that trend of spatial clustering of forest land change is weakened in the Beijing-Tianjin-Hebei area; 3） the grid map of the local Moran＇s I for each county reflects local spatial homo- geneity of forest land change, which means that spatial clustering about regions of high value and low value is especially significant. The regions with ＂High-High＂ correlation are mainly located in the north hilly area. However, the regions with ＂Low-Low＂ correlation were distributed in the middle of the study area. Therefore, protection strategies and concrete measures should be put in place for each regional cluster in the study area.

Effects of green bonds on bioenergy development under climate change: A case study in Taiwan province, China

Bioenergy development improves energy security and mitigates climate change.Because the stable supply of agricultural resources provides a solid basis for efficient bioenergy production,the climate-induced impacts such as changes in lempeniture and precipitation that potentially alter the farming decisions and cropping patterns should be taken into account.This study designs two-stage stochastic programming with recourse model to investigate the net bioenergy production and emission reduction,as well as the bioenergy producers'strategies under various market operations and climate scenarios.The results show that the net production of biopower and biofuel are relatively stable because the supply of bioenergy feedstocks could remain at a constant level,but the farming decisions,cropping pattern,and resource utilization are likely to be altered by climate-induced impacts.The results also indicate that for efficient bioenergy production,approximately 41.5 billion TWD(9.65 billion CNY)and 33.6 billion TWD(7.81 billion CNY)of bond principal should be invested in crop-based and residual-based technology,respectively.In the face of strict environmental regulations and emission management,biopower technology becomes more competitive,and under such a circumstance,more than 98.3%of the low-cost bond should be invested in biopower development to achieve development efficiency.