Journal of Energy Bioscience 2025, Vol.16, No.2, 85-93 http://bioscipublisher.com/index.php/jeb 90 Table 1 Estimated results of the influence of contract farming and high ecological value standardon green, smart agriculture technologies (Adopted from Chen and Zhou, 2023) - Green, Smart agriculture technologies High ecological value standard Green, smart agriculture technologies Regulating effect Contract farming(number of uses of technology) 0.5887*** 1.4599*** 0.0697 0.0104 (4.0231) (13.1028) (0.3226) (0.0721) Gender(Male=1;female=0) -0.0147 -0.0125 -0.0103 -0.0315 (-0.1120) (-0.2532) (-0.0811) (- 0.2574) Age(year) -0.0021 -0.0002 -0.0020 -0.0012 (- 0.5267) (-0.1098) (-0.5037) (-0.3004) Educational level (year) 0.0082 0.0076 0.0055 0.0036 (0.6566) (1.2528) (0.4452) (0.3254) Risk Preference(value ranges from 0 to 1.A larger value ndicates a higher risk) -0.0232 -0.0131 -0.0186 -0.0197 (-1.2751) (-1.3900) (-1.0456) (-1.1480) Average number oflaborers (number of agricultural labor) 0.0470 -0.0226 0.0551 0.0434 (1.1753) (-1.0874) (1.3837) (1 .1852) Agriculturetechnology training (times) 0.0170 -0.0048 0.0187 0.0170 (1.3294) (-0.6470) (1.4757) (1.0988) Agricultural investment in rural infrastructure(million) -0.0003 -0.0005* -0.0001 0.0000 (-0.4281) (-1.6616) (-0.1815) (0.0043) Government subsidy (USD/hectare) 0.0006 0.0001 0.0006 0.0005 ( 1.6426) (0.3824) (1.5706) (1.1141) High ecological value standard(number of standards) - - 0.3555*** 0.2592** - - (2.8796) (3.0040) Income from rice cultivation(thousand) - - - 0.0033*** (2.7000) c.high ecological value standard#c.incomefrom rice cultivation 0.0014* (1.7988) Urban effect control control control control _cons 0.5701* -0.0308 0.5811* 0.5071* (1.8585) (-0.2222) (1.8968) (1.6692) N 782 782 782 782 R-Square 0.4023 0.5916 0.4216 0.4369 Adj.R-Square 0.3898 0.5831 0.4087 0.4228 Notes: *p<0.1,and***p<0.01 7.3 Research directions to improve the efficiency of green technologies and reduce costs In order to make green technologies play a greater role, the focus of future research should be on how to make them more energy-efficient and cost-effective. Solar drying systems can effectively reduce carbon emissions during processing, but because the equipment is expensive, it is not yet widely used. If the initial cost can be reduced through optimized design, more people will be able to afford it (Lamrani et al., 2021). Research can also try to use local materials and modular designs to make these devices more acceptable to small and medium-sized farmers. It is also possible to study the use of economic means, such as carbon credits and government subsidies, to encourage farmers to use green technology. For example, improving the utilization rate of nitrogen in fertilizers and reducing methane emissions during the drying process are also practical methods that are both environmentally friendly and save money (Sah and Devakumar, 2018).
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