农业企业采纳大数据技术影响因素研究——基于ISM模型的实证分析

为提升大数据技术在农业领域的应用深度与广度,进一步挖掘农业数据资源,推动农业供给侧改革。基于189份农业企业调研数据,运用ISM模型,分析了农业企业采纳大数据技术影响因素及其关联关系与递阶层次结构。提出加大技术的研发力度,提高核心设备和技术的自主知识产权水平,加强大数据技术产业协作,培养企业数据管理意识与大数据技术型人才,加强大数据技术公共示范工程的宣传作用等对策建议。     

基于WSR的区域排水权分配影响因素研究

为了进一步减少防洪损失、解决区域排水纠纷问题,在界定排水权内涵的基础上,研究得出排水权具有强制性、排他性、可交易性、可变性和紧迫性。利用WSR系统方法论构建了排水权分配的WSR分析框架,认为排水权的分配受物理因素、事理因素和人理因素的影响,并分析了多种因素在分配过程中的角色,进一步构建了排水权分配影响因素的指标体系。研究有利于实现排水权有效配置驱动因素的系统化、层次化梳理,为实现排水权的合理分配与防洪决策的进一步优化提供有效依据,对于保障防洪安全、实现社会公平与区域均衡发展具有重要的支撑作用。     

资本要素市场化改革、对外直接投资与技术创新绩效

对外直接投资对母国产业的技术创新具有反哺促进效应,但同时受资本要素市场扭曲的调节作用影响。本文运用2003~2016年的面板数据,设定双因素基准模型并进行东、中、西部地区分样本回归以检验资本要素市场扭曲对OFDI的技术创新的调节作用。结果发现:OFDI通过逆向技术溢出促进了母国的企业技术创新绩效。同时,资本要素市场扭曲抑制了OFDI反哺技术创新绩效的正向作用,且资本要素市场扭曲对OFDI的技术创新的调节效应存在地区差异性。因此,深化要素市场化改革,调整对外直接投资结构和优化营商环境,是实现OFDI协调发展以推动技术创新绩效提升的有效途径。     

Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density

The issue of what to promote in total factor productivity (TFP) in urban areas has been widely discussed in academia and housing prices and population density are confirmed to be two of the most essential driving factors. However, research into the interaction of housing prices and population density with TFP has been neglected, with no previous studies taking spatial factors into consideration, which may bias the results. From this perspective, using spatial panel data models and employing instrumental variables to solve the endogenous problem, this study examines the impact of housing prices on TFP through the mediating effect of population density for 283 Chinese cities during the period 2000–2013, and confirms that the mediating effect accounts for 18.70 % of the total effect. The results show the positive and significant association of housing prices with TFP and the inverted U-shape of population density. The underlying logic is that housing prices change population density by attracting people with high purchasing power and discouraging those unable to afford housing, whereas increased density helps to promote productivity since the settled inhabitants always have highly developed work skills and are well educated. The influencing mechanism of housing prices on TFP through population density is analyzed, namely the spillover effect. We find that the spillover effect exists in the eastern and central regions, as well as first, second, and third tier cities, while for western regions and fifth tier cities, population mobility and increased in housing prices slows their economic development. There is no evidence of any spillover effect in fourth tier cities. A discussion and suggested policy implications are also provided.     

Behavioral equilibrium and evolutionary dynamics in asset markets

This paper analyzes a dynamic stochastic equilibrium model of an asset market based on behavioral and evolutionary principles. The core of the model is a non-traditional game-theoretic framework combining elements of stochastic dynamic games and evolutionary game theory. Its key characteristic feature is that it relies only on objectively observable market data and does not use hidden individual agents’ characteristics (such as their utilities and beliefs). A central goal of the study is to identify an investment strategy that allows an investor to survive in the market selection process, i.e., to keep with probability one a strictly positive, bounded away from zero share of market wealth over an infinite time horizon, irrespective of the strategies used by the other players. The main results show that under very general assumptions, such a strategy exists, is asymptotically unique and easily computable.     

A simple characterisation for sustained growth

This article considers an inter-temporal optimisation problem in a general form and gives conditions ensuring the convergence to infinity of the economy. These conditions can be easily verified and applied for a large class of problems in the literature. Some applications for different economies are given as illustrative examples.     

How an international ambidexterity strategy can address the paradox perspective on corporate sustainability: Evidence from Chinese emerging market multinationals

Corporate sustainability (CS) is receiving considerable attention from emerging market multinational enterprises (EMNEs), playing an important role in the globalized market. However, theoretical and empirical knowledge about how EMNEs address CS is still scant, and the relationship between internationalization and CS has not been widely explored. This study aims to fill this gap, evaluating the relationship between an international ambidexterity strategy and CS in EMNEs, which highlighted the paradox perspective. Then we develop three hypotheses in which we argue how the dynamic capabilities underpinning international ambidexterity could be considered a driver of CS in EMNEs. We test the developed hypotheses against data from 300 Chinese EMNEs obtained by a survey. Our results contribute to shape ambidextrous international strategies and to consider CS as a springboard for the strategic intent to systematically and recursively outperform global competition. Testing a measurement scale of international ambidexterity, we suggest structural ambidexterity as a strategic option of internationalization that allows the achievement of economic, social, and environmental sustainability objectives.     

基于扎根理论的农业物流生态圈协同影响因素分析

农业物流生态圈作为一种先进的发展模式,可通过各子系统的相互协作达到双赢,解决传统农业发展面临的产业联动性差、技术水平低下、运营模式落后等问题,推动农业供给侧结构性改革。而考虑到农业物流生态圈涉及主体众多,其协同受多种因素共同作用,需要构建农业物流生态圈协同影响因素框架,以为农业物流生态圈协同研究提供指标体系。基于扎根理论这一质性研究方法,利用Nvivo11.0软件对访谈文本及相关文献资料进行深度分析,得到112个初始概念,进而由初始概念概括出39个范畴,提炼出15个副范畴,最终归纳出协同环境、协同机制、协同能力、协同意愿、扰动因素五个主范畴,形成农业物流生态圈协同影响因素框架。在这个框架中,协同环境可定义为外驱因素,协同机制、协同能力可定义为内驱因素,协同意愿可定义为中介因素,且各因素并非直接对农业物流生态圈产生影响,而是主要通过三条路径进行,其一是外驱因素→中介因素→农业物流生态圈协同,其二是内驱因素→中介因素→农业物流生态圈协同,其三是扰动因素对内驱因素和外驱因素进行调节。     

“一带一路”沿线省域生产性服务业与制造业联动融合关系辨析

选择"一带一路"沿线18个省域生产性服务业与技术或资本密集型装备制造业动态互动关系为研究对象,运用向量自回归(VAR)模型进行4个细分服务业和装备制造业脉冲响应比较研究,探究其双向互促性、行业异质性及长短期差异性。结果表明:二者虽然有长期均衡关系,但是互促作用具有非对称性。装备制造业对生产性服务业发展的总体拉动力强劲。但无论辅助联动式或价值链嵌入式生产性服务,都只是短期助推装备制造业发展,仍难以构成高端服务能力和发挥显著的规模经济效应,其长期匹配及推动作用较小。长期以来,装备制造业对知识密集型服务业需求程度不高,导致装备制造业对其拉动作用不明显,二者互动关联性较弱。不同互动机理及动态匹配方式下细分服务业与装备制造业互动效应差异性显著。装备制造业来自于自身内部的信息变动影响显著。应加强装备制造业创新投资引资、提升装备制造业产业集群创新竞争力、促使生产性服务业高质量发展、提高高层次人才培养引进效率,以促进沿线省域两大产业高层级耦合互动发展。     

一种利用优先经验回放深度Q-Learning的频谱接入算法

针对认知无线传感器网络中频谱接入算法的频谱利用率不高、重要经验利用率不足、收敛速度慢等问题，提出了一种采用优先经验回放双深度Q-Learning的动态频谱接入算法。该算法的次用户对经验库进行抽样时，采用基于优先级抽样的方式，以打破样本相关性并充分利用重要的经验样本，并采用一种非排序批量删除方式删除经验库的无用经验样本，以降低能量开销。仿真结果表明，该算法与采用双深度Q-Learning的频谱接入算法相比提高了收敛速度；与传统随机频谱接入算法相比，其阻塞概率降低了6%~10%，吞吐量提高了18%~20%，提高了系统的性能。