《Table 2 DCR farming season and time window for transplanting rice in each province》
本系列图表出处文件名:随高清版一同展现
《Inter-provincial Differences in Rice Multi-cropping Changes in Main Double-cropping Rice Area in China: Evidence from Provinces and Households》
Note:Harvesting and transplanting dates were average values based on farming season data from 1980 to 2015
Estimates from Equation(1)using the provincial panel are presented in Table 3.The basic result is insensitive to a variety of robustness checks using the stepwise regression method which produced 6 columns of regression results.In general,labor price and proportion of DCR area in the three groups are negatively correlated and the relationship is significant at 10%level,proving that the increase in labor cost has an impact on the transformation from double-cropping to single-cropping.However,there is an additional clear distinction between these groups.In Table 3,column 6,the interaction of labor and d1(labor?d1)has the largest significance level(1%)and coefficient,which indicates that compared with other provinces,increasing labor price has the greatest influence on the decrease in proportion of DCR area in high-latitude region,including Zhejiang,Anhui,Hubei.Interaction of labor and d2(labor?d2)and proportion of DCR area are negatively correlated,which is statistically significant at the 10%level,indicating that labor price in Jiangxi,Hunan and Fujian still have a negative impact on DCR proportion.However,this impact is much weaker than in high-latitude region.In low-latitude region,the correlation between labor price and proportion of DCR area is not statistically significant,implying that the proportional change in DCR area is insensitive to labor price in Guangdong and Guangxi.
图表编号 | XD0046958300 严禁用于非法目的 |
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绘制时间 | 2019.02.01 |
作者 | WANG Renjing、LI Xiubin、TAN Minghong、XIN Liangjie、WANG Xue、WANG Yahui、JIANG Min |
绘制单位 | Key laboratory of Land Surface Pattern and Simulation, Institution of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences、University of Chinese Academy of Sciences、Key laboratory of Land Surface Pattern and Simulation, Institut |
更多格式 | 高清、无水印(增值服务) |