Green development has attracted worlds' attention by its resource-saving and environment-friendly orientation under the background of sustainable development, with its focus on increasing green total factor productivity (GTFP), which marks the economic growth efficiency, also considers resource consumption and environmental pollution. Amid “the Belt and Road” construction, China is increasing its investment in the nations. This paper uses panel threshold model to study the impacts of China's OFDI on “the Blet and Road” nations' GTFP based on China and those nations' political, economic, and environmental differences. Results show that China's OFDI plays a positive role on “the Belt and Road” nations' GTFP, which also is limited by the political and economic regime distance, diminishing with regime distance. Regression coefficient of China's OFDI on “the Belt and Road” nations' GTFP is 0.072 when their political regime distance is less than 1.986, 0.058 between 1.986 to 2.513, and 0.012 when larger than 2.513. Regression coefficient is 0.102 when economic regime distance is less than 1.440, 0.085 between 1.440 to 2.575, and 0.023 when larger than 2.575. Increasing OFDI can offset the impacts of political and economic distance. Positive impacts of China's OFDI on “the Belt and Road” nations' GTFP increases from 0.028 to 0.122 when China's OFDI scale increases from 3.899 to 4.15.

Urban Land shows a different development pattern under the combined effects of the driving forces. Taking Qianxi county as a case, this paper uses extreme standardized method to deal with the county's eight townships driving forces indicator data and classifies the driving forces effects according to the total scores. Based on a system of urban land quality driving forces analysis layers, superposition analysis has been done on the basis of the land classification map and the factor scores level layers using Geographic Information System (GIS) technology. The result shows that the effect degrees and mining potential space of driving forces to land quality are different. Land production potential and basic establishment influence the land quality most distinctly, and they distribute from the lowest mining potential to higher mining potential on 4 standards. Urban location and urban convergency scale influence the land quality more distinctly. Urban location distributes from mining potential moderate to the highest mining potential, and urban convergency scale distributes from lower mining potential to higher mining potential on 3 standards. Regional economy develop level and integration service ability don't influence the land quality distinctly. Regional economy develop level is in mining potential moderate and higher mining potential, and integration service ability is in lower mining potential and mining potential moderate on 2 standards.The different of driving forces spatial effects reflects the strength or weakness of the urban on this aspect, and can guide the urban construction.