中国贫困治理经验总结:扶贫政策能够实现有效增收吗?

本文利用建档立卡脱贫户的实际调查数据,使用收入组合的Copula熵作为分裂标准构建决策树模型,用以评价单项扶贫政策对家庭收入的影响,进而通过划分不同收入水平及相依结构的家庭群体,评价不同政策组合的增收效果.研究发现:第一,不同扶贫政策组合所划分的家庭收入分布存在显著差异;第二,兜底保障、就业扶贫和扶贫小额信贷是增收效果最为显著的三项政策;第三,对于家中有劳动力的极端贫困家庭,兜底保障与就业扶贫的政策组合更能发挥出稳定的增收效应;对于不需依靠兜底保障类政策的一般贫困家庭,产业扶贫政策的增收效果更为显著.故本文认为有必要对不同贫困群体采用针对性的扶贫政策组合,并提出了相应的政策建议.     

Greedy algorithms for the profit-aware social team formation problem

Motivated by applications in online labor markets, we study the problem of forming multiple teams of experts in a social network to accomplish multiple tasks that require different combinations of skills. Our goal is to maximize the total profit of tasks that are completed by these teams subject to the capacity constraints of the experts. We study both the offline and online settings of the problem. For the offline problem, we present a simple and practical algorithm that improves upon previous results in many situations. For the online problem, we design competitive deterministic and randomized online algorithms. These are complemented by some hardness results in both settings.

     

A traffic congestion analysis by user equilibrium and system optimum with incomplete information

Journal of Combinatorial Optimization - Nowadays, the rapid development of intelligent navigation systems has profound impacts on the routing of traffic users. With the assistance of these...     

The price of fairness for a two-agent scheduling game minimizing total completion time

Journal of Combinatorial Optimization - This paper studies the price of fairness in a two-agent single machine scheduling game. In this game, two agents compete to perform their jobs on a common...     

Error-correcting codes based on partial linear maps of finite-dimensional vector spaces

Journal of Combinatorial Optimization - The determination of bounds on the size of codes with given minimum distance is an important problem in the coding theory. In this paper, we construct codes...     

Approximation algorithms for the maximally balanced connected graph tripartition problem

Journal of Combinatorial Optimization - Given a vertex-weighted connected graph $$G = (V, E, w(\cdot ))$$ , the maximally balanced connected graph k-partition (k-BGP) seeks to partition the vertex...     

A lower bound of the surviving rate of a planar graph with girth at least seven

Let G be a connected graph with n≥2 vertices. Suppose that a fire breaks out at a vertex v of G. A firefighter starts to protect vertices. At each time interval, the firefighter protects one vertex not yet on fire. At the end of each time interval, the fire spreads to all the unprotected vertices that have a neighbor on fire. Let sn(v) denote the maximum number of vertices in G that the firefighter can save when a fire breaks out at vertex v. The surviving rate ρ(G) of G is defined to be ∑ _v∈V(G)sn(v)/n ², which is the average proportion of saved vertices. In this paper, we show that if G is a planar graph with n≥2 vertices and having girth at least 7, then $\rho(G)>\frac{1}{301}$ .     

A knowledge chain management framework to support integrated decisions in global supply chains

Knowledge management has been identified as a key enabler to achieve organisation’s value chain competitiveness. It, however, has been facing fresh challenges in a global supply chain setting. This paper proposes a global knowledge chain management (GKCM) framework that identifies and prioritises critical knowledge that a global supply chain can focus on to support integrated decisions. The framework explores three types of global context knowledge, namely global market knowledge, global capacity knowledge and global supply network configuration knowledge. Empirical study has been undertaken within the manufacturing industry to evaluate the GKCM framework. Analytic network process has been explored as a key method to assess the importance of the global knowledge constructs from supply chain managers’ perspectives. A key contribution of the paper is that it advances existing knowledge chain management approaches within one organisation and its local supply chain to include the global context knowledge applicable to global manufacturing settings, and highlights how the GKCM framework can support global supply chain integrated decisions.     

非营利组织理事会角色与责任研究--基于中美比较分析的视角

无论是理论上的逻辑推理,还是实践中的经验总结,都揭示出非营利组织理事会所扮演的角色和承担的责任要重于企业董事会,清晰地界定理事会角色与责任是非营利组织治理的首要课题.利用因子分析可以将理事会角色与责任分为高级人力资源管理、决策、财务管理、筹资、维护与任务环境关系五类.通过中美之间的比较分析,可以以美国为参照系,折射出中国非营利组织理事会角色与责任的现实状况.实证分析的结果显示,发达国家非营利组织理事会在承担角色和责任方面要全面领先于中国.而就中国而言,基金会理事会在某些方面优于社会团体.