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学者姓名：蓝以信
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Abstract ：
The convexity of meta-frontier is a debated topic in data envelopment analysis (DEA). This paper claims that meta-frontier is a non-convex hull, but the production activities between the non-convex meta-frontier and the convex traditional production frontier may be feasible. Therefore, technology compatibility is defined to explain this feasibility, and a modified DEA model is constructed to evaluate the efficiency of decision-making units with technology heterogeneity and technology compatibility. Sequentially, two new meta-frontier DEA frameworks are constructed to evaluate and decompose efficiency, thereby revealing the impact of technology heterogeneity and technology compatibility on efficiency. In addition, a series of discussions are presented to analyze these two new frameworks.
Keyword ：
Convexity Convexity Data envelopment analysis Data envelopment analysis Meta-frontier Meta-frontier Technology compatibility Technology compatibility Technology heterogeneity Technology heterogeneity
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| GB/T 7714 | Chen, Lei , Lan, Yi-Xin , Wang, Suhui . Convex or non-convex? A new meta-frontier data envelopment analysis framework considering technology compatibility [J]. | OR SPECTRUM , 2024 , 47 (1) : 325-346 . |
| MLA | Chen, Lei 等. "Convex or non-convex? A new meta-frontier data envelopment analysis framework considering technology compatibility" . | OR SPECTRUM 47 . 1 (2024) : 325-346 . |
| APA | Chen, Lei , Lan, Yi-Xin , Wang, Suhui . Convex or non-convex? A new meta-frontier data envelopment analysis framework considering technology compatibility . | OR SPECTRUM , 2024 , 47 (1) , 325-346 . |
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长三角城市群是我国经济发展的重要引擎,探究该区域的生态福利绩效对我国的高质量发展具有重要的现实意义.为此,从资源配置视角和多维评价指标体系出发,改进了生态福利绩效的两阶段链式转化结构模型,并据此构建了考虑非期望中间产出弱可处置性的两阶段链式超效率DEA模型,测度长三角城市群2011-2021年的全局生态福利绩效及分阶段效率,并利用双固定效应下的空间杜宾模型揭示长三角城市群生态福利绩效空间溢出效应,探究长三角城市群生态福利绩效的提升路径.研究结果表明:(1)长三角城市群全局生态福利绩效的平均水平维持在0.8左右,但有68.3％的城市处于非有效状态,且城市之间存在较为显著的差距.(2)分阶段来看,生态-经济效率为0.685,经济-福利效率为0.863,差异主要来自三省一市内部,组内贡献率分别为77.39％与77.14％,发展较不均衡.(3)长三角城市群生态福利绩效具有较强的空间正相关性,而建成区绿化覆盖率、生活垃圾无害化处理率、人均GDP、城市人均每年消费额、政府干预对长三角城市群生态福利绩效提高具有正向促进效应,且建成区绿化覆盖率和生活垃圾无害化处理率有一定空间溢出效应.(4)"低经济-高福利"、"低经济-低福利"和"高经济-高福利"这三类城市最多,且分布较为均匀,而属于"高经济-低福利"类的城市最少.从提升路径来看,单边突破式是绝大多数城市弥补自身低效率阶段的最佳途径.
Keyword ：
两阶段超效率DEA 两阶段超效率DEA 提升路径 提升路径 生态福利绩效 生态福利绩效 空间溢出效应 空间溢出效应 长三角城市群 长三角城市群
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| GB/T 7714 | 蓝以信 , 黄宇焮 , 李婵 . 资源配置视角下长三角城市群生态福利绩效评价及其空间溢出效应 [J]. | 生态学报 , 2024 , 44 (18) : 8110-8125 . |
| MLA | 蓝以信 等. "资源配置视角下长三角城市群生态福利绩效评价及其空间溢出效应" . | 生态学报 44 . 18 (2024) : 8110-8125 . |
| APA | 蓝以信 , 黄宇焮 , 李婵 . 资源配置视角下长三角城市群生态福利绩效评价及其空间溢出效应 . | 生态学报 , 2024 , 44 (18) , 8110-8125 . |
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Abstract ：
长三角城市群是我国经济发展的重要引擎，探究该区域的生态福利绩效对我国的高质量发展具有重要的现实意义。为此，从资源配置视角和多维评价指标体系出发，改进了生态福利绩效的两阶段链式转化结构模型，并据此构建了考虑非期望中间产出弱可处置性的两阶段链式超效率DEA模型，测度长三角城市群2011—2021年的全局生态福利绩效及分阶段效率，并利用双固定效应下的空间杜宾模型揭示长三角城市群生态福利绩效空间溢出效应，探究长三角城市群生态福利绩效的提升路径。研究结果表明：（1）长三角城市群全局生态福利绩效的平均水平维持在0.8左右，但有68.3%的城市处于非有效状态，且城市之间存在较为显著的差距。（2）分阶段来看，生态-经济效率为0.685，经济-福利效率为0.863，差异主要来自三省一市内部，组内贡献率分别为77.39%与77.14%，发展较不均衡。（3）长三角城市群生态福利绩效具有较强的空间正相关性，而建成区绿化覆盖率、生活垃圾无害化处理率、人均GDP、城市人均每年消费额、政府干预对长三角城市群生态福利绩效提高具有正向促进效应，且建成区绿化覆盖率和生活垃圾无害化处理率有一定空间溢出效应。（4）“低经济-高福利”、“低经济-低福利”和“高经济-高福利”这三类城市最多，且分布较为均匀，而属于“高经济-低福利”类的城市最少。从提升路径来看，单边突破式是绝大多数城市弥补自身低效率阶段的最佳途径。
Keyword ：
两阶段超效率DEA 两阶段超效率DEA 提升路径 提升路径 生态福利绩效 生态福利绩效 空间溢出效应 空间溢出效应 长三角城市群 长三角城市群
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| GB/T 7714 | 蓝以信 , 黄宇焮 , 李婵 . 资源配置视角下长三角城市群生态福利绩效评价及其空间溢出效应分析 [J]. | 生态学报 , 2024 , (18) . |
| MLA | 蓝以信 等. "资源配置视角下长三角城市群生态福利绩效评价及其空间溢出效应分析" . | 生态学报 18 (2024) . |
| APA | 蓝以信 , 黄宇焮 , 李婵 . 资源配置视角下长三角城市群生态福利绩效评价及其空间溢出效应分析 . | 生态学报 , 2024 , (18) . |
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针对决策单元在资源配置中存在倾向选择避免让自己感到后悔的方案的后悔规避心理,提出一种考虑后悔规避的资源配置方法.基于数据包络分析方法对决策单元的配置效率进行测量,区分效益型和成本型资源的效用函数,建立决策单元对资源配置方案的欣喜-后悔函数.通过Max-min欣喜值和Min-max后悔绝对值来确定相应的资源配置方案.研究结果表明,考虑后悔规避的资源配置方法能为决策单元确定一组有效的资源配置方案,并且有助于资源在决策单元间的公平分配.
Keyword ：
后悔值 后悔值 后悔规避 后悔规避 数据包络分析 数据包络分析 欣喜值 欣喜值 资源配置 资源配置
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| GB/T 7714 | 王旭 , 王应明 , 蓝以信 . 考虑后悔规避的基于数据包络分析的资源配置方法 [J]. | 运筹学学报 , 2024 , 28 (4) : 75-90 . |
| MLA | 王旭 等. "考虑后悔规避的基于数据包络分析的资源配置方法" . | 运筹学学报 28 . 4 (2024) : 75-90 . |
| APA | 王旭 , 王应明 , 蓝以信 . 考虑后悔规避的基于数据包络分析的资源配置方法 . | 运筹学学报 , 2024 , 28 (4) , 75-90 . |
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Scientific investment forecasting can effectively avoid the blind investments of environmental management. Among existing studies in developing investment forecasting models, the extended belief rule-based system (EBRBS) showed its potential to accurately predict environment investments but also exposed two challenges to be further addressed: (1) how to select antecedent attributes from various environmental indicators for the EBRBS; (2) how to optimize basic parameters of the EBRBS based on the selected antecedent attributes. Since these two challenges are connected, a bi-level joint optimization model is proposed to improve the EBRBS for better environmental investment forecasting, in which the selection of antecedent attributes is described as an upper-level optimization model using Akaike information criterion (AIC) and the optimization of basic parameters is as a lower-level optimization model using mean absolute error (MAE). Moreover, a corresponding bilevel joint optimization algorithm is proposed to solve the bi-level joint optimization model, where ensemble feature selection and swarm intelligence optimization are regarded as the engine of upperlevel and lower-level optimizations, respectively. The real environmental data collected from 2005 to 2020 of 30 Chinese provinces are studied to verify the effectiveness of the proposed approach. Experimental results show that the EBRBS with bi-level joint optimization not only can effectively predict environmental investments, but also is able to have desired accuracy better than previous investment forecasting models.
Keyword ：
Bi-level joint optimization Bi-level joint optimization Environmental investment Environmental investment Extended belief rule-based system Extended belief rule-based system Forecasting model Forecasting model
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| GB/T 7714 | Yang, Long-Hao , Ye, Fei-Fei , Wang, Ying-Ming et al. Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting [J]. | APPLIED SOFT COMPUTING , 2023 , 140 . |
| MLA | Yang, Long-Hao et al. "Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting" . | APPLIED SOFT COMPUTING 140 (2023) . |
| APA | Yang, Long-Hao , Ye, Fei-Fei , Wang, Ying-Ming , Lan, Yi-Xin , Li, Chan . Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting . | APPLIED SOFT COMPUTING , 2023 , 140 . |
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The allocation mechanism of carbon abatement quotas is a vital issue in the carbon emission abatement (CEA) for the environment and sustainability. The conventional CEA allocation focuses on the imposition of carbon quotas but hardly considers the techniques or mechanisms of abatement. The neglect of the abatement mechanisms may cause inapplicability and unavailability in the practical implementation of CEA allocation. To fill this gap, this paper firstly recognizes and distinguishes two kinds of non-separable relationships among energy inputs, capital investments, and carbon emission. Thereafter, three carbon abatement mechanisms are formed and defined. Then, three scenarios of carbon abatement, named managerial, technical, and hybrid scenarios, are constructed based on the carbon abatement mechanism, in which the carbon emission is, respectively, abated by reducing energy inputs and increasing capital investment and the hybrid measure of energy decrease and capital investment increase. With the developed carbon abatement mechanisms, a carbon abatement allocation application of the regional highway transportation systems in China is illustrated. It finds that the carbon abatement allocations based on the proposed carbon abatement mechanisms help to narrow the regional highway transportation system gaps in China, and the outputs perform the best under the managerial scenario. The Eastern bears more carbon abatement burdens than the Central and West under both managerial and technical scenarios. The Central and West can improve their outputs and bear more carbon abatement burden under hybrid scenarios. The central authority can choose the CEA technique and allocation scheme in line with its preference and observation.
Keyword ：
CEA allocation CEA allocation CEA mechanism CEA mechanism Data envelopment analysis Data envelopment analysis Non-separation Non-separation
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| GB/T 7714 | Wang, Xu , Wang, Yingming , Lan, Yixin . Centralized carbon emission abatement (CEA) allocation based on non-separation using data envelopment analysis: an observation of regional highway transportation systems in China [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2022 , 29 (24) : 36426-36442 . |
| MLA | Wang, Xu et al. "Centralized carbon emission abatement (CEA) allocation based on non-separation using data envelopment analysis: an observation of regional highway transportation systems in China" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 29 . 24 (2022) : 36426-36442 . |
| APA | Wang, Xu , Wang, Yingming , Lan, Yixin . Centralized carbon emission abatement (CEA) allocation based on non-separation using data envelopment analysis: an observation of regional highway transportation systems in China . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2022 , 29 (24) , 36426-36442 . |
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Logistics provider selection is a multi-criteria decision-making problem faced by e-commerce companies. Considering the complexity of the problem and the uncertainty of the decision information, an integrated approach of GTOPSIS is proposed for evaluating and selecting the most suitable logistics provider. The GTOPSIS approach integrates the three-parameter interval grey number (T-PIGN) into the technique for order preference by similarity to ideal solution (TOPSIS). It allows decision-makers to use T-PIGN to represent the performance of the alternatives which can retain and utilise the original uncertain assessment information of alternatives to the greatest extent. Besides, the PERT distribution is adopted to weight the three parameters of T-PIGN. A real-life case study is presented to demonstrate the practicality and effectiveness of the GTOPSIS approach. Copyright © 2022 Inderscience Enterprises Ltd.
Keyword ：
Decision making Decision making Electronic commerce Electronic commerce System theory System theory
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| GB/T 7714 | Chen, Ke-Jia , Zhang, Jin-Hua , Lan, Yi-Xin et al. E-commerce logistics provider selection based on multi-criteria decision-making approach with uncertain information [J]. | International Journal of Industrial and Systems Engineering , 2022 , 40 (1) : 104-125 . |
| MLA | Chen, Ke-Jia et al. "E-commerce logistics provider selection based on multi-criteria decision-making approach with uncertain information" . | International Journal of Industrial and Systems Engineering 40 . 1 (2022) : 104-125 . |
| APA | Chen, Ke-Jia , Zhang, Jin-Hua , Lan, Yi-Xin , Chen, Ping . E-commerce logistics provider selection based on multi-criteria decision-making approach with uncertain information . | International Journal of Industrial and Systems Engineering , 2022 , 40 (1) , 104-125 . |
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针对由交叉效率评价策略和交叉效率集结方法的多样性而造成评价结果不一致的问题,提出利用证据推理方法和前景理论,综合各个交叉效率评价策略的评价结果,实现对决策单元的统一评价.首先,分别将选用的交叉效率评价策略以及各个评价策略中的他评效率设置成一级指标和二级指标,依据算数平均和前景理论分别确定一、二级指标的权重;其次,依据他评效率确定二级指标置信度,利用证据推理方法将各个交叉效率评价策略的他评效率综合转换成决策单元被评价为有效的置信度.决策者可通过比较决策单元被识别为有效的置信度的大小来判断决策单元交叉效率的大小,进而实现对决策单元的排序;最后,通过案例验证和说明本文提出方法的有效性和实用性.
Keyword ：
交叉效率排序 交叉效率排序 前景理论 前景理论 数据包络分析 数据包络分析 置信度 置信度 证据推理 证据推理
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| GB/T 7714 | 王旭 , 王应明 , 王亮 et al. 基于证据推理和前景理论的交叉效率排序方法研究 [J]. | 中国管理科学 , 2022 , 30 (11) : 250-259 . |
| MLA | 王旭 et al. "基于证据推理和前景理论的交叉效率排序方法研究" . | 中国管理科学 30 . 11 (2022) : 250-259 . |
| APA | 王旭 , 王应明 , 王亮 , 蓝以信 , 张兴贤 . 基于证据推理和前景理论的交叉效率排序方法研究 . | 中国管理科学 , 2022 , 30 (11) , 250-259 . |
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Thanks to the booming industry, China has made a huge economic achievement during the past several decades. However, it is suffering severe environmental and sustainable problems now. To find a sustainable development path, it is necessary to assess Chinese industrial energy and environment productivity and explore the contributing reasons. It is known that the technical change is the one power that drives the growth of the industrial productivity. Nevertheless, the technical change bias of Chinese industrial energy and environment productivity has rarely been analyzed, such that the secrets of Chinese industrial energy and environment productivity cannot be further uncovered. Thus, in this paper, we first propose a global DEA-Malmquist productivity index to evaluate the industrial energy and environment productivity of China and then figure out the Chinese industrial technical change biases by relaxing the Hicks' neutral assumption and decomposing the industrial technical change. We find out that both the global DEA-Malmquist productivity and the technical change are increased. Furthermore, the technical change drives the improvement of the global Malmquist productivity, but the technical progress is mainly driven by labor, energy consumption and CO2 emission biases. A multinomial logistic model is employed to find out the reasons for these biases. It finds that (1) the economic foundation has a significant positive impact on labor bias, while the infrastructures have negative impacts on labor bias. (2) CO2 emission bias is influence by energy prices positively. (3) The energy prices and the energy consumption structure have a negative influence on labor and energy bias, but the cost of curbing air pollutants and the size of the firm influence labor and energy bias positively. (4) The infrastructures and energy prices affect energy and CO2 emission bias positively, and the economic foundation and the size of the firm have negative impacts on energy and CO2 emission bias.
Keyword ：
Data envelopment analysis Data envelopment analysis Energy and environment productivity Energy and environment productivity Industry Industry Technical change bias Technical change bias
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| GB/T 7714 | Wang, Xu , Wang, Yingming , Lan, Yixin . Measuring the bias of technical change of industrial energy and environment productivity in China: a global DEA-Malmquist productivity approach [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 28 (31) : 41896-41911 . |
| MLA | Wang, Xu et al. "Measuring the bias of technical change of industrial energy and environment productivity in China: a global DEA-Malmquist productivity approach" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 28 . 31 (2021) : 41896-41911 . |
| APA | Wang, Xu , Wang, Yingming , Lan, Yixin . Measuring the bias of technical change of industrial energy and environment productivity in China: a global DEA-Malmquist productivity approach . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 28 (31) , 41896-41911 . |
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提高生态效率是实现县域经济绿色发展的重要方式，在充分考虑江苏省县域经济发展合作共赢以及发展导向差异的前提下，遴选一产、二产、三产的增加值为关键指标并设置了3种不同的县域经济发展导向，采用权重约束的仁慈型交叉效率模型和Malmquist生产率指数测算了2015—2017年间江苏省32个县域在3种发展导向下的生态效率和生态全要素生产率，剖析各县域生态效率的差异性及其全要素生产率变动的驱动力，探寻各县域的差异化绿色发展模式。研究结果显示：（1）整体上看，江苏省县域总体生态效率水平较高，但同一地级市下辖的县域生态效率排名差距较大，且生态效率高的县域辐射效应不足。（2）从不同发展导向来看，县域平均生态效...
Keyword ：
Malmquist指数 Malmquist指数 交叉效率 交叉效率 县域生态效率 县域生态效率 多维发展导向 多维发展导向 差异化评价 差异化评价
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| GB/T 7714 | 蓝以信 , 张庆 , 李婵 . 多维发展导向视角下江苏省县域生态效率差异化评价研究 [J]. | 生态学报 , 2021 , (23) : 1-12 . |
| MLA | 蓝以信 et al. "多维发展导向视角下江苏省县域生态效率差异化评价研究" . | 生态学报 23 (2021) : 1-12 . |
| APA | 蓝以信 , 张庆 , 李婵 . 多维发展导向视角下江苏省县域生态效率差异化评价研究 . | 生态学报 , 2021 , (23) , 1-12 . |
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