Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green develo...Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green development performance and how such performance can be improved.A theoretical framework for agricultural green development performance was constructed in this paper using the Super-SBM model,which considers undesirable outputs,to measure the agricultural green development performance of 330 cities at or above the prefecture level in China(excluding Tibet Autonomous Region,Hong Kong,Macao and Taiwan of China)from 2007 to2018.Furthermore,the influencing mechanism of agricultural green development performance was then analyzed using a spatial econometric model.The results show that:1)from 2007 to 2018,China’s agricultural green development performance experienced three stages of evolution:‘rise,decline and rise’.2)The regions with high performance agricultural green development are mainly distributed in eastern China,northeastern China,and southern Qinghai Province.3)The agricultural economic level,industrialization process,and labor quality play significant roles in promoting local agricultural green development performance,while such performance is obviously inhibited by the openness level and the government’s environmental regulations.Local agricultural green development performance is significant inhibited by the agricultural economic level and accelerated industrialization process in neighboring cities,while significantly promoted by the agricultural industrial structure in neighboring cities.Some suggestions for improving agricultural green development performance are proposed based on these research results,which can provide scientific references for promoting sustainable agriculture.展开更多
After optimizing the compressor design,condenser tube diameter,and tube row arrangement,air supply volumetric flow rate,and refrigerant charge of the domestic dehumidifier.The optimized design schemes were obtained fr...After optimizing the compressor design,condenser tube diameter,and tube row arrangement,air supply volumetric flow rate,and refrigerant charge of the domestic dehumidifier.The optimized design schemes were obtained from the original combinations by non-dominated sorting,and the optimized design schemes were experimentally verified under three environmental conditions according to the test method of T/CAS 342-2020 to obtain a complete idea of dehumidifier multi-component improvement.The results show that the dehumidifying capacity of Scheme 5 is slightly increased by 2.5%at 27℃/60%RH,and its energy factor is significantly increased by 24.6%.When the air supply volumetric flow rate was increased from 210 to 268 m^(3)·h^(-1),the air supply temperature was reduced by 1.7℃,improving comfort.Under environmental conditions with higher dehumidification demand,i.e.,at 35℃/90%RH,the energy factor of Scheme 4 can reach 4.3 L·kW^(-1)·h^(-1),which is 34.4%higher than the original scheme,and the gap is further widened.The application of the 5 mm tube diameter condenser in dehumidifiers reduces the amount of refrigerant charge by 25.9%,reduces the cost by 7.5%,and strengthens the heat transfer effect and the homogeneity of the two-phase mixing,which shows the great application potential.展开更多
This study presents a methodology used in developing the competitiveness improvement framework (CIF) for laboratories, in particular, Forensic Science Laboratories (FSLs). The cyclic nature of FSL processes allowed da...This study presents a methodology used in developing the competitiveness improvement framework (CIF) for laboratories, in particular, Forensic Science Laboratories (FSLs). The cyclic nature of FSL processes allowed data collection for the purpose of identification of factors affecting FSL performance (cause factors). Flow charts were used to represent mathematical formulations for cause factor measurements and quantification of the baseline data on turnaround time (TAT), backlogs for case files (Bg), turnaround time in the supply chain (Tsc), and employee absenteeism (Ab). By quantifying the cause factors in addition to academic development coefficient (Ad) and complex longevity (Lc) for FSL employees, it was possible to establish the organizational design features requiring improvements. The relevance of cause factors to FSL stakeholders and means of improvement and sustainability were established. A detailed road map towards CIF was presented using D-MAIC methodology. The rated cause factors based on challenges in the FSL business environment were subjected to Pareto analysis to prioritize the challenges in order to improve FSLs’ competitiveness. The interrelationship between the three dimensions of competitiveness improvement (process, performance and planning) was presented in terms of the affected six cause factors. Also, the potential lean practices for improving competitiveness of FSL based on measured cause factors have been presented. This paper introduced methods and measures for improving operational competitiveness of laboratories. The CIF was finally presented in a form of a series of three flow charts summarizing all steps implemented in its development with inputs and cause factors involved.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41971222,42001190)Key R&D(Science and Technology)and Promotion Project of Henan Province(No.222102110420)Key Research Project of Higher Education Think Tank in Henan Province(No.2022ZKYJ06)。
文摘Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green development performance and how such performance can be improved.A theoretical framework for agricultural green development performance was constructed in this paper using the Super-SBM model,which considers undesirable outputs,to measure the agricultural green development performance of 330 cities at or above the prefecture level in China(excluding Tibet Autonomous Region,Hong Kong,Macao and Taiwan of China)from 2007 to2018.Furthermore,the influencing mechanism of agricultural green development performance was then analyzed using a spatial econometric model.The results show that:1)from 2007 to 2018,China’s agricultural green development performance experienced three stages of evolution:‘rise,decline and rise’.2)The regions with high performance agricultural green development are mainly distributed in eastern China,northeastern China,and southern Qinghai Province.3)The agricultural economic level,industrialization process,and labor quality play significant roles in promoting local agricultural green development performance,while such performance is obviously inhibited by the openness level and the government’s environmental regulations.Local agricultural green development performance is significant inhibited by the agricultural economic level and accelerated industrialization process in neighboring cities,while significantly promoted by the agricultural industrial structure in neighboring cities.Some suggestions for improving agricultural green development performance are proposed based on these research results,which can provide scientific references for promoting sustainable agriculture.
文摘After optimizing the compressor design,condenser tube diameter,and tube row arrangement,air supply volumetric flow rate,and refrigerant charge of the domestic dehumidifier.The optimized design schemes were obtained from the original combinations by non-dominated sorting,and the optimized design schemes were experimentally verified under three environmental conditions according to the test method of T/CAS 342-2020 to obtain a complete idea of dehumidifier multi-component improvement.The results show that the dehumidifying capacity of Scheme 5 is slightly increased by 2.5%at 27℃/60%RH,and its energy factor is significantly increased by 24.6%.When the air supply volumetric flow rate was increased from 210 to 268 m^(3)·h^(-1),the air supply temperature was reduced by 1.7℃,improving comfort.Under environmental conditions with higher dehumidification demand,i.e.,at 35℃/90%RH,the energy factor of Scheme 4 can reach 4.3 L·kW^(-1)·h^(-1),which is 34.4%higher than the original scheme,and the gap is further widened.The application of the 5 mm tube diameter condenser in dehumidifiers reduces the amount of refrigerant charge by 25.9%,reduces the cost by 7.5%,and strengthens the heat transfer effect and the homogeneity of the two-phase mixing,which shows the great application potential.
文摘This study presents a methodology used in developing the competitiveness improvement framework (CIF) for laboratories, in particular, Forensic Science Laboratories (FSLs). The cyclic nature of FSL processes allowed data collection for the purpose of identification of factors affecting FSL performance (cause factors). Flow charts were used to represent mathematical formulations for cause factor measurements and quantification of the baseline data on turnaround time (TAT), backlogs for case files (Bg), turnaround time in the supply chain (Tsc), and employee absenteeism (Ab). By quantifying the cause factors in addition to academic development coefficient (Ad) and complex longevity (Lc) for FSL employees, it was possible to establish the organizational design features requiring improvements. The relevance of cause factors to FSL stakeholders and means of improvement and sustainability were established. A detailed road map towards CIF was presented using D-MAIC methodology. The rated cause factors based on challenges in the FSL business environment were subjected to Pareto analysis to prioritize the challenges in order to improve FSLs’ competitiveness. The interrelationship between the three dimensions of competitiveness improvement (process, performance and planning) was presented in terms of the affected six cause factors. Also, the potential lean practices for improving competitiveness of FSL based on measured cause factors have been presented. This paper introduced methods and measures for improving operational competitiveness of laboratories. The CIF was finally presented in a form of a series of three flow charts summarizing all steps implemented in its development with inputs and cause factors involved.
