The evolution of competition in innovation resource: a theoretical study based on Lotka–Volterra model

This research uses the Lotka–Volterra model to analyse the competition of innovation resource between two enterprises and studies the dynamic effects of environmental changes through the change of model parameters. The research finds that there are three possible results of the competition in innovation resource. That comprises ‘crowding out effect’, ‘unstable equilibrium’ and ‘stable equilibrium’. The results of competitive evolution are determined by enterprises’ interaction parameters. However, the natural growth rates, the initial resource possessions of both enterprises and the amount of regional innovation resource have a significant impact on the evolution of competition.     

中国农村特色扶贫开发道路的制度分析：基于产权的视角

研究目标：借鉴马克思及西方产权理论主要思想，研究揭示中国农村特色扶贫开发道路的制度选择及经验。研究方法：基于产权理论对经济事实进行逻辑推演，并采用1978~2012年中国农村统计数据进行检验。研究发现：中国农村特色扶贫开发道路主要体现在农村资源（土地和人力）的产权制度改革上，由此形成的资源产权激励效应和正向扩散效应，正是中国农村人口发生大规模减贫的最重要原因及主要经验，并构成了中国特色社会主义制度的一部分。研究创新：本文基于产权理论的研究为减贫提供一个新的微观制度视角解释。研究价值：总结提炼中国农村特色扶贫开发道路的一般性理论经验，对今后减贫事业推进具有借鉴意义。     

剖线强度梯度变化的作物软硬变化区精确划分

[目的]软硬变化区的划分是进行遥感变化检测技术识别农作物的基础。为解决人工判读方法中存在人为主观因素影响以及自动判别和交互式判别方法对不同研究区的适用性问题,该文提出基于剖线梯度变化(Profile based Gradient Change Magnitude,PGCM)进行软硬变化区划分的方法。[方法]该研究选择破碎农业景观种植区域为研究区,计算拔节期Quick Bird影像和播种期模拟影像两个时相的变化强度,从作物地块内部向外绘制剖线,利用剖线强度的梯度变化确定硬变化区(Hard change region,HCR)、软变化区(Soft change region,SCR)和未变化区(Non change region,NCR)3者间的划分阈值。[结果]从识别结果来看,PGCM能够有效在地块边界处探测到软变化像元,进而确定HCR、SCR。像元分辨率在5~60 m不同尺度下,识别HCR区混入比例为11%~16%,混入比例随着分辨率下降而降低;NCR区混入比例为3%~4%,受分辨率尺度影响不大;SCR区识别比例为74%~86%,识别精度较高,识别结果与冬小麦空间分布结果保持一致。[结论]PGCM方法能够自动、便捷地确定阈值,摆脱人工判定的主观性,有效地划分出HCR、SCR和NCR 3个区域,为进一步HCR、SCR区内的作物识别提供基础。     

农户生物菌肥购买意愿及行为的影响因素研究*——基于山东省设施菜农的调研数据

[目的]生物菌肥对于土壤改良、环境改善、食品安全具有重要意义,但目前生物菌肥在整个肥料产业中所占份额较小,迫切需要探讨如何从农户角度提高生物菌肥的施用比例。[方法]基于设施蔬菜农户的数据,构建Bivariate Probit模型,对农户生物菌肥的购买意愿和行为的影响因素进行比较研究。[结果]农户的生物菌肥购买意愿和行为总体上呈现一致性,愿意购买的农户中有97. 77%的农户具有实际的购买行为;但两者的影响因素有所差异,从差异因素来看,质量安全检测对购买意愿具有显著的正向影响,但对购买行为的影响并不显著;农户文化程度、种植年限、对无公害、绿色、有机蔬菜的了解程度,经销商推荐,施肥指导对购买行为具有显著的正向影响。从共同因素来看,生态环境认知变量对购买意愿和购买行为影响不显著。[结论]要推广生物菌肥,需要进一步加强质量安全检测体系对农业行为的约束性,提升经销商的规范经营意识,采用集中招标等灵活的价格政策,提升农户的生态技能,并在保护生态环境方面出台更完善的农业绿色发展政策。     

New Evidence on Housing Wealth and Consumption Channels

The Journal of Real Estate Finance and Economics - This paper provides new evidence on the effect of housing wealth on consumption by focusing on the impact of home-equity extraction. We develop a...     

金融周期、行业技术周期与经济结构优化

本文首先采用马尔科夫区制转移模型测算金融周期和12类行业的技术投入周期,进而采用交叉谱分析法和OLS法分析金融周期对行业技术周期的影响,结果发现:不同金融变量的周期具有异步性,各行业的技术投入周期具有明显差别;不同金融变量周期与行业技术投入周期之间存在不同的数量关联性,对不同的行业技术投入具有不同的影响作用;在繁荣阶段,金融市场和银行对各行业的技术投入都具有正向推动作用,但金融市场对高密度创新行业技术投入的推动作用更为显著,银行对低密度稳定行业技术投入的推动作用更为显著;在紧缩阶段,金融市场对高密度创新行业技术投入的紧缩效应更为剧烈,银行却对低密度稳定行业的技术投资下行起到缓解作用。根据这些事实和规律,可以引导利用各金融变量对具有发展前景的行业强化技术投资助推作用,提升经济结构优化效率。     

Noise traders,firm-specific uncertainty and technical trading effectiveness

This is the first study to document evidence of technical trading effectiveness at firm level in the Chinese A-share market by investigating the relationship between excess profits of technical trading rules and firm-specific characteristics. Our results reveal that firms with higher excess profits from technical trading have more noise traders and higher institutional ownership and that those firms tend to be growth firms with lower liquidity and higher firm-specific uncertainty. Further analysis shows that the profitability of technical trading rules is unsustainable and the excess profits of the highest technical trading profit quintile portfolio disappear in the following year.     

Entrepreneurship and industrial clusters: evidence from China industrial census

Small Business Economics - This article studies the synergy effect of entrepreneurship on China’s industrial cluster. We propose an extension to Duranton and Overman’s (The Review of...     

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.     

THE EFFECTS OF NEWS WHEN LIQUIDITY MATTERS

We analyze the impact of news (information shocks) in economies where liquidity matters, including those with endogenous credit limits, and those with assets serving as collateral or media of exchange. Although we also consider news about productivity and credit conditions, a leading case concerns monetary policy announcements. Real or monetary news has big effects on markets, potentially causing cyclic or boom–bust responses, even though we focus on the unique transition consistent with stationarity after shocks. In particular, policy announcements may induce instead of reduce volatility. We also discuss the implications for the inflation puzzle, forward-guidance puzzle, and other apparent anomalies.