生态文明视角下土地整治科技创新研究 ——基于原国土资源部土地整治相关领域的登记和获奖成果分析

研究目的:对原国土资源部土地整治相关领域的登记和获奖成果进行梳理分析,为土地整治科技创新服务支撑生态文明建设提出意见建议。研究方法:文献资料法和比较分析法。研究结果:中国土地生态整治科技创新取得丰硕成果,但在创新能力、研究尺度和内容、成果转化应用方面存在进一步完善的空间。研究结论:土地生态整治科技发展促进了土地整治水平的提高,今后,土地生态整治科技创新要在新发展理念下,在项目设计、标准化、研究内容方面加强科学研究,完善科技创新体制机制,激发创新活力。     

土地整治对中国粮食产出稳定性的贡献

研究目的:研究土地整治对粮食产出稳定性的贡献,为制定合理高效的土地整治政策,促进粮食增产稳产提供依据。研究方法:采用H-P滤波法实证分析中国粮食产量的波动性及增长趋势,然后基于C-D生产函数,分别建立趋势产量和波动强度面板回归模型,分析土地整治对粮食产出稳定性的影响。研究结果:(1)粮食作物播种面积、农业机械总动力、农用化肥施用量均对粮食长期趋势产生不同程度促进作用;农业劳动力对主产区粮食长期趋势影响显著为负,对非主产区却有正向影响。(2)土地整治面积和单位面积投资额均降低了全国及主产区粮食产量的波动程度,土地整治规模在全国和主产区的影响系数分别为-1.4162和-2.2215;单位土地整治面积投资额在全国和主产区的影响系数分别为-0.7589和-1.3509。(3)土地整治新增耕地面积对全国和主产区的粮食产量波动强度影响为正,影响系数分别为0.8018和1.3931。可能是通过土地整治新增的耕地质量较低,产出不高,导致了粮食产量波动。土地整治投入在非主产区均表现为不显著。研究结论:应继续推进尤其是主产区的土地整治项目实施,加大土地整治投资强度,建立长期稳定的投入机制,合理使用整治资金,注重提高新增耕地质量和综合生产能力,同时将土地整治投入和管理机制与农业生产系统运行机制、自然因素等有效结合,并制定差别化区域政策,以保障粮食增产稳产和区域协调发展。     

新时代耕地占补平衡的逻辑根源、模式探索与管理创新——基于“新时代耕地占补平衡方式改进与管理创新研讨会”的思考

研究目的:对耕地占补平衡的发展阶段与政策绩效、存在问题与逻辑根源进行分析,对改进方式进行探讨,进而提出管理创新建议,为新时代耕地占补平衡政策实施提供科学依据,为促进城乡融合、扶贫攻坚和乡村振兴提供参考。研究方法:综合分析与系统推理。研究结果:(1)耕地占补平衡存在实质性不平衡、时空性不平衡、政策性弱化等微观、中观及宏观层面问题;(2)在数量方面,通过盘活宅基地增量、存量和完善易地调剂方式,统筹城乡和区域平衡来实现数量占补平衡。(3)在质量方面,通过优化建设用地约束指标、完善耕地质量评价、规范耕作层保护与再利用等促进耕地质量占补平衡。(4)在生态方面,通过完善指标调剂的价格内涵、扩大耕地补偿标准范围、转变耕地补充途径等实现耕地生态占补平衡。研究结论:建议做好顶层设计,抓好规划引领,构建耕地占补平衡与城乡要素流动的平衡机制,建立耕地占补平衡后续生态管护长效机制,提升软硬实力等。     

Are they telling the truth? Revealing hidden traits of satisfaction with a public bike-sharing service

Public bike-sharing systems (BSSs) are an emerging mode of transportation introduced by municipalities to solve congestion problems in metropolitan areas, especially when integrated with other types of transportation. In the last years, the number of public bike-sharing services has been constantly on the rise all over the world, and generally the overall satisfaction with them is high. However, satisfaction with public services is driven by mechanisms that can differ from those in the private sector. It is important to establish to what extent a high satisfaction is genuine or simply ephemeral. Even “old” public services (like public transportation) become “gold” when accompanied by the introduction of new technologies. In this paper we analyze this phenomenon using data from a satisfaction web-survey conducted among customers of the public BSS “BikeMi” in Milan, Italy, in a period when mobile technologies have been introduced to speed up the service. On analyzing the responses to satisfaction questions using simple summary statistics, the level of satisfaction resulted very high. However, our aim was to look for potential “darker” sides of the service by detecting possible hidden satisfaction components. For this purpose, we used the Nonlinear Principal Components Analysis, which is particularly powerful in this context. A simple textual analysis was also performed as a validating test. Results from our analysis indicated that satisfaction is flawed by a set of factors like the mechanics of the bikes, the picking and dropping system, and the apps used to organize the service. Less concern was detected for more general aspects of the service.     

How Fast are Semiconductor Prices Falling?

The Producer Price Index (PPI) for the U.S. suggests that semiconductor prices have barely been falling in recent years, a dramatic contrast to the rapid declines reported from the mid‐1980s to the early 2000s. This slowdown in the rate of decline is puzzling in light of evidence that the performance of microprocessor units (MPUs) has continued to improve at a rapid pace. Over the course of the 2000s, the MPU prices posted by Intel, the dominant producer of MPUs, became much stickier over the chips' life cycle. As a result of this change, we argue that the matched‐model methodology used in the PPI for MPUs likely started to be biased after the early 2000s and that hedonic indexes can provide a more accurate measure of price change since then. MPU prices fell rapidly through 2004 on every price measure we present, with the PPI declining at an even quicker pace than the hedonic indexes. However, from 2004 to 2009, our preferred hedonic index fell faster than the PPI, and from 2009 to 2013 the gap widened further, with our preferred index falling at an average annual rate of 42 percent, while the PPI declined at only a 6 percent rate. Given that MPUs currently represent about half of U.S. shipments of semiconductors, this difference has important implications for gauging the rate of innovation in the semiconductor sector.     

Examining the extent of and determinants for sustainability assurance quality: The role of audit committees

This study examines the extent of and determinants for sustainability assurance quality. Data comprise sustainability assurance statements published by the top 100 listed companies in Australia and New Zealand from 2017 to 2019. The findings indicate that Australian companies lead their New Zealand counterparts in sustainability assurance. Although sustainability reporting has risen, assurance rates remain significantly low. Accountants dominate the market, and companies prefer to use their own auditors for sustainability assurance work. Sustainability assurance quality is poor and does not vary significantly among Australian and New Zealand companies. Low-quality sustainability assurance plays a limited role in mitigating potential stakeholder–agency conflicts. The regression analysis indicates that audit committee characteristics such as members' independence, industry/market expertise, and attending meetings enhance sustainability assurance quality, whereas audit committee size has no affect. These findings suggest that audit committee characteristics such as independence, industry expertise, and regular meeting attendance have the potential to reduce stakeholder–agency conflicts by improving the quality of sustainability statement assurance. Our findings build on the sustainability assurance literature by exploring current trends in sustainability assurance practices in Australia and New Zealand where corporate governance codes have been recently revised. Further, these findings are timely given recent changes in standards (International Standard on Assurance Engagements [ISAE] 3000 and Global Reporting Initiative [GRI]). Our study contributes to the audit committee literature and sheds light on the role played by audit committee characteristics on sustainability assurance statement quality. The study findings potentially offer useful insights for practitioners, standard setters, and regulators.     

基于限制因素组合序列的耕地质量提升潜力研究*——以什邡市为例

[目的]通过分析什邡市耕地质量现状,充分把握影响耕地质量的主导因素并进行质量提升分区,测算不同质量提升区的提升潜力,以期为全市耕地质量的建设与发展指明方向。[方法]依据农用地分等理论,构建2014年什邡市耕地质量限制性指数评价体系,采用限制性指数模型测算耕地质量限制性指数,结合因素组合法、耕地质量潜力测算法,分别进行耕地质量提升分区及其提升潜力评价。[结果]什邡市耕地质量现状差异显著,地域分布特征明显;因素限制程度以中限制为主,多因素共同主导限制耕地比重大;各质量分区限制特征明显,各区耕地质量提升潜力在时序上和空间上也存在差异。高等别耕地集中分布于南部平原,受土壤酸碱度中等限制和剖面构型高程度限制为主;北部丘陵区以及南部河谷低洼地带主要为低等别耕地,表现为坡度与灌溉因素较高程度限制为主;综合提升潜力较大的耕地集中于北部丘陵区与南部河谷低洼地带。[结论]什邡市范围内耕地质量差异明显,存在普遍限制且分区限制特征明显,各区提升潜力空间差异明显。     

土地细碎化和土地质量是否影响小麦技术效率*——基于山东省小麦种植户的实证分析

［目的］小麦是我国重要的口粮之一，提高小麦的技术效率对于保障粮食安全具有重要的战略意义。在测算小麦技术效率的基础上，找出影响小麦技术效率的关键因素，为保障国家口粮安全提供参考。［方法］基于调研数据，运用超越对数生产函数以及一步随机前沿分析方法，构建计量模型分析土地细碎化和土地质量对小麦技术效率的影响。［结果］全部样本的技术效率差距较大，规模经营农户的技术效率高于小农户，农户技术效率最高的种植面积为67~333hm2，代表小麦种植的适宜规模。从技术效率的影响因素来看，土地细碎化程度和土地质量都对小麦生产的技术效率产生显著影响。［结论］为了提高小麦的技术效率，应该发展多种形式适度规模经营，鼓励创新土地流转形式，提高农业机械化水平； 深入开展土地质量调查，因地制宜地选择土地修复路径； 实行精准补贴，切实保护农民的利益。     

山东省耕地后备资源变化及驱动因素分析

[目的]揭示耕地后备资源变化规律及其驱动因素是进行耕地后备资源合理保护、开发利用的重要基础,但目前对于耕地后备资源变化及驱动因素的研究较为匮乏。[方法]文章以山东省为例,基于2003年和2015年两期耕地后备资源数据库,在分析耕地后备资源时空变化的基础上,采用空间回归模型分析了其变化的驱动因素。[结果]2003~2015年期间,山东省集中连片耕地后备资源减少了30.81万hm~2,其中可开垦土地减少24.97万hm~2,可复垦土地减少5.84万hm~2。[结论]总人口、文盲率、农民人均纯收入、建设用地扩张速度、第一产业产值占总产值比重等是山东省耕地后备资源变化的显著性驱动因素,并且总人口和建设用地扩张的驱动作用最大,受教育程度和产业结构调整的作用次之,农民人均纯收入变化对耕地后备资源变化的影响最小。"宏观统筹协调,异地代补"是解决"耕地后备资源空间分布不均衡、供需不匹配",实现耕地占补平衡、高效合理的开发利用耕地后备资源的必经之路。但异地代补的数量比例和质量应严格控制,并注重对补充耕地地区的经济补偿和政策倾斜,逐步缩小与发达地区之间的差距。     

农民宅基地退出差异性受偿意愿及其影响因素分析

研究目的:宅基地退出工作能否顺利推进与退地补偿息息相关,研究宅基地退出中农民差异性受偿意愿及其影响因素,以服务决策。研究方法:基于重庆市890份农民实地调查数据,应用多元离散选择模型(Logit)进行定量研究。研究结果:(1)传统农区的农民更愿意选择货币补偿;城乡结合部(街道办)的农民更愿意选择安置补偿;农民修建补偿选择率总体偏低,区位差异并不明显;(2)农民货币受偿意愿影响因素主要包括受教育程度、家庭主要成员是否定居城镇、非农务工收入、新居住地适应性;(3)农民安置受偿意愿影响因素主要包括年龄、农房是否自住、退地补偿是否有截留、村基础设施状况;(4)农民修建受偿意愿影响因素主要包括农房造价、农房是否新建、退地补偿是否有截留;(5)影响农民受偿意愿的因素存在较大差异,同一因素可能对农民选择受偿意愿产生不同的影响,但没有一个自变量同时对三个因变量产生显著影响。研究结论:应针对农民受偿意愿差异及其影响因素,实行产异化的补偿措施,在经济发展相对滞后的传统地区,强化村落基础设施建设的同时,加大现金补偿力度。对于经济较为发达、区位条件较好的城乡结合部地区,应加大安置补偿力度,以保障退地农民的居住权。