农村新业态发展现状、问题与对策研究

近年来,农村新业态快速发展,成为农村经济发展的新动能。文章在介绍农村新业态发展现状的基础上,剖析了当前存在的顶层设计不清晰、要素制约突出、水平有待提升以及规范化不足等系列问题;结合乡村振兴战略全面实施带来的新机遇,提出要强化顶层设计、优化发展环境、加快转型提质、加大监管力度等政策建议,加快促进农村新业态健康有序发展。     

自我监控人格对创新绩效的影响:基于社会信息处理理论

中国文化背景下,人们更容易表现出高自我监控特征,但目前对自我监控人格与创新绩效的研究还相对不足.基于社会信息处理理论,采用25家企业441个员工的调研数据,探究自我监控人格对创新绩效的影响机制.研究结果表明,自我监控人格对创新绩效存在显著驱动作用;组织创新氛围感知、员工个体创造力以"串联"结构在自我监控人格与创新绩效的关系间发挥链式中介作用.上述发现扩展了自我监控人格与创新绩效间作用路径,为企业管理人员正视员工自我监控人格以促进员工创新绩效提供了一定启示.     

Beyond symbolic and substantive: Strategic disclosure of corporate environmental information in China

Under increasing regulatory pressure to disclose environmental impacts, corporate environmental information disclosure (EID) is becoming more prevalent. However, the motives for EID and disclosure approaches (i.e., symbolic or substantive) remain controversial. Using a sample of data for 742 listed manufacturing firms in China across 3 years, we provide evidence to show that the level of EID is significantly positively associated with a firm's advertising intensity and that firms in moderately competitive industries have a higher propensity for adopting an EID‐based differentiated strategy than firms in stronger or weaker competitive industries. We also find that firms that are more sensitive to environmental issues strategically understate their environmental impact when directly facing consumers. Our results suggest that the implementation of corporate EID is strategic and that firms have strong market motives, even under regulatory pressure to demonstrate legitimacy. We discuss this study's contributions to research on EID theory and implications for strategic EID management.     

Strategic networks and new product performance: the mediating role of ambidextrous innovation

In this study we examine the relationship between strategic networks and new product performance from the perspective of ambidextrous innovation (i.e. combining exploratory innovation and exploitative innovation) using a sample of 323 manufacturing firms in the transitional economy of China. Our empirical analyses present several interesting findings: (a) strategic networks are positively related to firms’ new product performance; (b) ambidextrous innovation has a positive effect on firms’ new product performance – that is, the combination of exploratory innovation and exploitative innovation positively affects the firm's new product performance, while the lack of balance between exploratory innovation and exploitative innovation negatively affects the firm's new product performance; and (c) ambidextrous innovation mediates the relationship between strategic networks and new product performance. Our findings provide scholars and managers with a better understanding of the key role played by the simultaneous adoption of exploratory and exploitative innovation in the relationship between strategic networks and new product performance.     

基于冠层光谱和BP神经网络的水稻叶片氮素浓度估算模型

[目的]快速、准确地诊断水稻叶片氮素营养状况,为水稻氮肥精准管理提供依据。[方法]以江西省农科院8种不同施肥处理的晚稻为研究对象,于主要生育期同步测定了水稻冠层光谱反射率及叶片全氮浓度(Leaf Nitrogen Concentration,LNC),系统分析了原始光谱反射率、一阶微分光谱、"三边"参数以及由350～1 350nm两两波段组合的差值(SD (Rλ1,Rλ2))、比值(SR (Rλ1,Rλ2))及归一化(ND(Rλ1,Rλ2))光谱指数与水稻LNC的相关关系,筛选出敏感参数,并以之为自变量构建了水稻LNC的传统预测模型,另外构建不同指标个数的多元线性与BP神经网络模型,并对模型进行验证。[结果](1)水稻LNC与一阶微分光谱在751nm处的相关性最高(r=0. 822);(2)"三边"参数中的红边面积SDr与LNC的相关性较高(r=0. 687);(3) 750nm附近的红边波段与近红外波段差值组合、550nm附近的绿光波段与近红外波段的比值及归一化差值组合与水稻LNC的相关性较高,以SD (R752,R751)、SR (R534,R1 350)和ND (R534,R1 349)表现最好,相关系数分别为0. 827、-0. 790和0. 788;(4)传统回归模型中以SD(R752,R751)构建的一元线性模型最佳(RC2=0. 665、RV2=0. 750、RMSEV=0. 4%、RPD=2. 034);(5)利用5个指标((R'751、SDr、SD (R752,R751)、SR (R534,R1 350)、ND (R534,R1 349))经逐步回归筛选出的2个指标SD ((R752,R751)和SR (R534,R1 350))构建预测水稻氮素的BP神经网络模型,预测效果最佳,其验证参数值分别为R2=0. 859、RMSEV=0. 302%和RPD=2. 669。[结论]基于单指标构建的传统线性模型计算过程简单但精度略低,而基于2个指标(SD (R752,R751)、SR (R534,R1 350))构建的BP神经网络模型预测精度高于该2指标构建的多元线性模型,表明在指标适合的情况下,BP神经网络对氮素具有较好的预测能力,是一种快速准确估算水稻叶片全氮浓度的方法。     

The heterogeneous relationship between board social ties and corporate environmental responsibility in an emerging economy

Firms in emerging economies are faced with multiple, incompatible institutional forces in their environmental activities. Which of these forces will be dominant and instantiated within an organization is partly determined by the social relationships that a firm maintains with external actors. This paper investigates the relationship between board social ties and the level of environmental responsibility undertaken by firms in China, an emerging economy, by categorizing board social ties into three types in terms of the three isomorphic forces in the institutional field (coercive, normative and mimetic). Drawing on institutional and agency theories, using a sample of listed firms in environmentally sensitive industries, and a generalized least squares regression method, the results provide empirical evidence that ties that are linked to coercive and normative forces (i.e., political organizations and universities) are related to a higher level of environmental responsibility; however, those that are linked to mimetic forces (i.e., industrial peers) have a negative association with environmental responsibility, which is mitigated by CEO power. These findings suggest that the heterogeneous effects of board social ties on environmental responsibilities experienced by firms in a context of environmentalism are at an early stage.     

土地流转：弱转入土地意愿的博弈分析

[目的]我国土地制度的施行使得农户拥有较多小块土地,家庭农场实现连片规模经营的前提是获得规模连片土地,家庭农场与农户进行土地流转协商时,农户将土地流转给家庭农场的意愿如何值得探讨。因此本文研究目的是对家庭农场实现规模连片生产提出建议,期望家庭农场实现规模化经营。[方法]博弈分析法。[结果]家庭农场存在从农户手中转入土地困难,转入土地意愿不强的现象,家庭农场弱转入土地意愿的根源在于土地租金过低、农户转出土地净利润过低、实际转入土地意愿过低。[结论]由此文章提出了3点建议:(1)尝试"确权不确地,确地不确人"的确权政策(2)创建农村土地经营权流转信息平台,建立农村土地流转交易所(3)工商资本下乡租田的做法需谨慎。     

新冠肺炎疫情对居民消费的影响及对策

2020年春节期间,湖北省武汉市爆发的由新型冠状病毒感染引起的肺炎疫情正在对中国经济和消费带来负向冲击。从逻辑上看,除了直接限制消费外,疫情还会通过收入效应、财富效应、实际购买力效应对消费形成不利影响。从历史上看,十七年前的"非典"疫情对经济和消费的影响是短期的,但此次疫情影响更大,持续期存在不确定性。稳定消费的关键是稳定居民收入,要稳定居民收入就需要稳定非农产业就业。基于分析,本文提出了一揽子政策建议。     

Modelling tourist flow association for tourism demand forecasting

The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account the dependence relations among the different tourist flows via copula. Copula is a statistical model of dependence and measurement of association. Specifically, we investigate the association between two tourist flows in each region. Based on empirical copula estimation, the Frank function has been identified as the most appropriate to capture the pairwise dependence structures of tourist flows. The copula-based approach combined with econometric models is proposed for tourism demand analysis that can be used to predict tourist arrivals. We apply the copula-ARDL and copula-ECM frameworks to generate joint forecasts of tourist arrivals from three regions. The findings show that the forecast performance of the Frank copula-based model outperforms the benchmark model which corresponds to the independence structure (no association) of tourist flows.