Differentiated Paths of Regional Green Development Driven by Industrial Enterprise Innovation

A fundamental shift in the regional development pattern is crucial to achieving a comprehensive green transformation in China.Currently,innovation-driven green development is a significant strategic option for regional development.As the main body of innovation and the basic unit of regional composition,enterprises have a profound impact on the development of regional economy,society,ecology,and other aspects.However,considering China’s vast territory and significant regional differences in natural environment and industrial structure,it’s necessary to further explore the specific impact paths of regional green development driven by enterprise innovation.Therefore,taking industrial enterprises as an example,based on the panel data of 30 provinces in China from 2016 to 2020,this study verifies the impact of industrial enterprise innovation on the regional green development level by constructing a parallel multiple mediating effect model and dividing the economy into eastern,central,and western regions to discuss the specific impact paths.The results show that industrial enterprise innovation has a significant positive effect on regional green development level,via different influencing paths in each region:(1)The eastern region improves the regional green development level by narrowing the urban-rural income gap;(2)The central region improves the regional green development level by reducing resource dependence;and(3)The western region raises the regional green development level by improving the rationalization of industrial structure.

Spatio-temporal Differentiation and Driving Factors of Industrial Ecology of Restricted Development Zone from Adaptive Perspective:A Case Study of Shandong,China

Based on the adaptive analysis paradigm,this paper constructs an evaluation index system and an evaluation model of the level of industrial ecology of a restricted development zone from the perspective of the industrial system and of the environmental system,and studies the spatial-temporal differentiation characteristics and the driving factors of the level of industrial ecology of the restricted development zone of the Shandong Province,China,by using a variety of measurement methods.The results show that:1)In the temporal dimension,the level of industrial ecology of the research area increased from 2005 to 2017,while in the regional dimension,it was higher in the eastern coastal areas,followed by the northwestern area and the southwestern area;2)In the spatial dimension,from 2005 to 2017 the level of industrial ecology of the research area had a clear spatial dependence,and the regional spatial agglomeration of the restricted development zones with similar industrial ecology levels become increasingly evident;3)On the whole,the industrial ecology level in the study area had a clear spatial differentiation pattern,as it was higher in the north and in the east and lower in the south and in the west.Moreover,its evolution model changed from a‘three-core driven model’to a‘spatial scattered mosaic distribution model’,and then to a‘single-core driven model’;4)Industrial ecology was positively correlated with economic development,foreign investment,science and technology,and negatively correlated with the government role,while industrial structure and environmental regulation failed to pass the statistical significance test.

Differentiation of the Rural Households Based on the Perspective of Agricultural Industrialization Behavior——A Case Study of 102 Households in Yanling County, Henan Province, China

Based on the analysis of fieldwork data collected by us from 102 households in the villages of Yaojia, Jizhuang and Wuzi, we analyze the phenomenon of differentiation behaviors of households who own different kinds of resources under the background of agricultural industrialization. The focus of this paper is to probe into characteristics of the physical contact space, information contract space between different rural households such as farmers, brokers and entrepreneurs. Then, we focus on the driving forces behind the household differentiation process. Several conclusions can be drawn from this analysis. Firstly, the geographical domain increases as the households evolutes from farmers to entrepreneurs, and the farmers' physical contract space is larger than the information contract space while that of brokers and entrepreneurs equals. Secondly, there is a certain pattern existing in the evolution: based on the self-techniques, farmers evolutes to flower workers, and to brokers when the capital, social network and self-ability is sufficient. As a result of appropriate policy, opportunity of building business and the risk appetite characteristics, entrepreneurs may differentiate from the brokers.

Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net

It is crucial to predict the outputs of a thickening system,including the underflow concentration(UC)and mud pressure,for optimal control of the process.The proliferation of industrial sensors and the availability of thickening-system data make this possible.However,the unique properties of thickening systems,such as the non-linearities,long-time delays,partially observed data,and continuous time evolution pose challenges on building data-driven predictive models.To address the above challenges,we establish an integrated,deep-learning,continuous time network structure that consists of a sequential encoder,a state decoder,and a derivative module to learn the deterministic state space model from thickening systems.Using a case study,we examine our methods with a tailing thickener manufactured by the FLSmidth installed with massive sensors and obtain extensive experimental results.The results demonstrate that the proposed continuous-time model with the sequential encoder achieves better prediction performances than the existing discrete-time models and reduces the negative effects from long time delays by extracting features from historical system trajectories.The proposed method also demonstrates outstanding performances for both short and long term prediction tasks with the two proposed derivative types.

China's industrial growth:capital-driven or resource-driven?

Economic growth can take different forms;growth can be resource-driven,labor-driven,capital-driven,or technology-driven.Numerous studies conclude that China’s economic growth is capital-driven.Such a conclusion is derived after excluding any effects of resource and environmental factors.In this article,resource and environmental factors are incorporated in order to stndy the influence of factors on industrial growth.This study found that resource and environmental factors contribute much more than capital to industrial growth,and China’s industrial growth is still resource-driven.The nature of China’s industrial growth also suggests that the country’s economic growth has not completely extricated itself from a resource-driven model,which in turn exerts considerable influence on the country’s macroeconomic policies.

Exploring the coupling relationship of industrial agglomeration and low-carbon economy considering spatiotemporal differentiation:An empirical study in China’s construction machinery industry

Although China’s construction machinery thrives to meet the needs of construction,a number of challenges still remain to be overcome,such as lack of thorough knowledge of regional disparities and several limitations in terms of carbon emissions and economic development.Meanwhile,a low-carbon economy was proposed and implemented in China.This research aims to investigate the differences in industrial agglomeration of construction machineries and further explore the relationship between industrial agglomeration and low-carbon economy.On this basis,spatiotemporal analysis was performed to evaluate the levels of industrial agglomeration in different regions based on the situations of China’s construction machinery industry.Furthermore,this study explored the interaction between industrial agglomeration and low-carbon economy utilizing the coupling coordination analysis method.Results showed that the coupling coordination of the two subsystems was extremely unbalanced in 2006,and it maintained an increasing trend,reaching a relatively high level in 2018.Finally,suggestions,such as establishing a policy guarantee system and implementing variable policies in different regions,were proposed to provide guidelines for the government decision-making and promote the sustainable development of China’s construction machinery industry.

行业特色型工科院校“物理化学”课程差异化教学的探索与实践

在新形势下行业特色型工科院校“物理化学”课程教学工作面临着一系列的挑战。针对“物理化学”课程教学现状,结合理工科不同专业特点,在正视学生的个体差异的前提下,通过合理修订教学大纲、适当调整教学内容和进度、吸纳专业教师补充师资、建立合理考核体系等开展差异化教学改革。实践表明在专业行政班的教学模式下,只要对差异化教学有足够的重视和理解,就可以达到调动学生学习本能、激发学生学习兴趣、满足学生学习需求的目的。

“科产竞教”融合的差异化研究生培养模式探索

针对印刷包装行业研究生分类培养存在的同质化问题,本文探讨了“科产竞教”多协同融合的差异化研究生培养模式。首先分析了研究生分类培养中存在的问题,明确了差异化的“科产竞教”融合目标,并建立了专业型和学术型研究生培养机制。其次,通过设计多维度加权考核评价体系,实现了专业型和学术型研究生的差异化考核要求。这种差异化培养模式为印刷包装行业培养更加适应市场需求、具备丰富实践经验和创新能力的高端人才提供了一种新途径。

中国文化产业与旅游产业融合发展的内在机理及时空分异

文章从“内在逻辑”和“外部动力”两个维度构建文化产业与旅游产业融合发展的内在机理模型,利用文化产业与旅游产业发展的面板数据,分析2009—2019年中国31个省份两大产业综合发展水平的时空变化特征,二者融合发展的耦合协调度的时空分异、动态演变特征及主要驱动因素。结果表明:两大产业综合发展水平在时间上呈现稳步增长态势,在空间上呈现“东高西低”的梯级分化分布格局;从时空演变来看,两大产业的耦合协调度在时间上呈现整体上升的态势且初步实现了高级耦合协调,在空间上呈现“东升西降、南高北低”的非均衡发展态势;两大产业的耦合协调类型具有较高的稳定性,短期内难以实现跨越式发展;第三产业劳动力及区域经济发展水平对两大产业间的耦合协调关系的影响最大。

基于核磁共振和化学计量学鉴别啤酒类别

目的对精酿啤酒和工业啤酒进行判别并筛选两者的差异代谢物。方法利用Bruker AvanceⅢHD400 MHz核磁共振波谱仪得到23个精酿啤酒和21个工业啤酒样品的核磁共振氢谱。对氢谱数据的分段积分建立主成分分析、正交偏最小二乘法判别模型进行数据处理和评估。利用代谢组学方法筛选差异代谢物并进行验证。结果构建的无监督的主成分分析和有监督的正交偏最小二乘法判别分析可视化结果清晰地展现了组内相似性和组间差异。比较脂肪族区域、碳水化合物区域和芳香族区域的单独预测效果,脂肪族区域对分类起关键作用(R^(2)Y=0.931P<0.001,Q^(2)=0.858P<0.001)。同时利用代谢组学方法筛选并验证了没食子酸、L-色氨酸、2’-脱氧鸟苷和L-酪氨酸为主要差异代谢物。结论精酿啤酒和工业啤酒间存在差异,能够通过核磁共振和化学计量学进行鉴别,且脂肪族区是区分两者的重要区域。主要差异代谢物为没食子酸、L-色氨酸、2’-脱氧鸟苷和L-酪氨酸。

多尺度空间特征思考下的工业遗产差异化更新——以广州市两处食品加工类工业遗产为例

随着城市更新逐步进入高质量有机发展阶段,工业遗产如何通过差异化的更新手段实现未来可持续发展成为一个重要研究课题。通过引入空间句法的理论技术,结合POI数据、建筑功能及空间布局的分析等,从城市、片区、遗产本身的尺度对两处改造背景相似的工业遗产更新项目的空间特征进行对比研究,并根据分析结果总结该类工业遗产差异化更新的一般路径。研究发现,遵循空间发展规律、制定适应空间特征更新策略的珠江琶醍,其遗产更新成效显著。因此,建议在进行工业遗产更新改造之前,应从多尺度探析所处区域的空间特征,研判区域可达性、区位价值等影响因素,宏观上确认园区发展方向,中观上判断准入业态类型及配置,微观上提升功能与空间的适应性,提高工业遗产更新的效率以及实施结果的可持续性。

广东阳西潟湖湾传统盐业景观空间特征研究

海洋环境不仅是传统滨海滩涂盐业形成和发展的决定性因素之一,更在塑造盐田景观格局、聚落形态、产业空间布局中起着不可替代的作用。本文以广东省阳江市阳西县潟湖湾沙扒、双鱼、北寮3个传统盐场的盐业景观空间为研究对象,以梳理盐田景观格局、聚落形态、产业空间布局之间的相互驱动关系为研究目的,利用历史土地利用解译、景观格局指数、Voronoi图等研究方式,分析盐田地形特征、盐田景观格局特征、盐田与务盐聚落的空间分异特征,盐、农、渔产业的空间分布关系特征。同时,探寻潟湖湾多样性的海洋环境与人工作用对传统盐业景观空间特征的影响,分析现代阳西盐业景观空间特征消失的内因,发掘盐业文化景观遗产价值,以期为广东海盐文化景观遗产保护、推动海盐产业文旅发展提供现实意义。

黑龙江省省属科研院所在区域创新体系中的作用

随着我国经济社会发展进入新阶段,作为区域创新体系的重要组成部分,地方科研院所的发展定位、发展方式、发展路径也应有所调整。从产业共性技术研究的角度出发,对处于新发展阶段的省属科研院所的发展前景进行准确定义,同时结合相关研究客观分析省属科研院所的优劣势,为省属科研院所未来发展规划了三条可行的发展路径。

环渤海地区城市海洋旅游产业效率比较及时空分异特征--基于DEA-Malmquist模型

运用DEA方法和DEA-Malmquist指数模型探究我国环渤海地区17个城市2013-2019年海洋旅游产业技术效率和全要素生产率的时空分异特征,并通过目标优化值分析,提出海洋旅游产业效率提升对策。结果发现:(1)环渤海地区城市海洋旅游产业技术效率呈波动增长,影响其增长的主要因素是产业结构和规模。(2)城市海洋旅游产业技术效率在空间上呈"天津-青岛"双核心的分布特征。(3)海洋旅游产业全要素生产率增长较快,技术进步为主要驱动因素。(4)城市海洋旅游产业效率的提高可从调整海洋旅游产业规模、培育特色海洋旅游产业和打造海洋旅游品牌三大路径入手。

乡村振兴背景下乡村产业发展特征及影响因素分析——以河北省为例

乡村产业发展是农村发展的基础,也是实现乡村全面振兴的关键。分析乡村产业发展发现,农户对未来扩大农业投资的意愿不强,农产品现代化销售方式较为欠缺,乡村产业和农户分化为形成特色产业集群奠定基础,但乡村产业发展面临的动力不足问题仍是制约实现乡村全面振兴的难点。针对上述问题,基于河北省475户农户和234名村干部的微观调研数据,重点从农村位置、设施、农产品交易和加工等外在客观条件分析影响乡村产业发展的因素发现,交通便利程度、村水利设施和冷库对乡村产业发展具有统计意义上的显著影响,农产品交易市场和农产品加工企业在统计意义上不显著。最后,从优化产业结构形成特色产业集群、适度引进农业龙头企业等方面提出对策建议。

银行互联网贷款发展加剧了系统性风险吗?——兼论互联网贷款新规效用

互联网贷款作为商业银行数字化转型的核心业务,是防范化解系统性风险不容忽视的重点领域。以2017—2022年中国23家上市商业银行季度数据为研究样本,探究互联网贷款对系统性风险的影响和作用机制。研究发现,商业银行互联网贷款业务发展加剧了系统性风险;投向行业集中度强化了互联网贷款对系统性风险负向溢出效应,银行多元化经营则减弱了此影响;互联网贷款新规的实施有效抑制了互联网贷款对系统性风险的加剧作用。

我国采矿业能源消费碳排放时空分异与驱动因素分析

采矿业的低碳发展是发展绿色矿业和实现矿业高质量发展的内在要求,对工业领域碳达峰碳中和具有重要意义。本文基于省域视角,运用排放因子法测度了2004—2020年采矿业能源消费CO_(2)排放,利用基尼系数、泰尔指数和LMDI分解法探讨了其时空分异和主要驱动因素。研究结果表明:我国采矿业能源消费CO_(2)排放总量大且先升后降,主要来源于煤炭采选、油气开采行业以及原煤、天然气和柴油消费,单位产值CO_(2)排放先降后升,单位能耗CO_(2)排放缓慢下降。排放地域分布不均、差异较大,主要集中在山东、河北、河南、四川等地;排放差异经历快速上升(2004—2005年)→逐步缩小(2006—2013年)→稳步扩大(2014—2020年)的演变过程;差异主要来自四大区域内部,区域间差异贡献较小但持续提升。产值增长是行业碳排放增长的主要驱动因素,能源强度是关键减排因素,能源结构减排作用较弱。建议加快产业结构绿色转型,提高煤炭类能源清洁高效利用水平,进一步优化能源消费结构,聚焦重点区域和行业,加快综合利用先进技术、设备的研发与应用,大力发展矿业循环经济和推进绿色矿山建设,加强矿山生态保护修复。该研究可为绿色矿山建设、矿业低碳与高质量发展提供支撑和借鉴。

中国沿海地区港航服务业发展水平时空分异及影响因素分析

参考相关研究文献,以港航服务业相关理论为依据,结合中国当前港航服务产业发展特点,从基础条件、发展规模、发展效益、发展潜力4个方面构建港航服务业发展水平评价指标体系,运用模糊评价法进行测度,并运用核密度估计模型、GMM模型等对中国沿海地区(不包括港澳台)2006-2017年港航服务业发展水平时空分异及影响因素加以分析,结果显示:(1)我国沿海地区港航服务业发展水平综合得分由2006年的0.099到2017年的0.241,呈现逐年稳步上升趋势,年均增长率为8.54%。(2)2006-2012年,部分发展水平得分处在中间值区的地区发展较快,进一步向更高水平区集聚;2012-2017年,我国沿海地区港航服务业发展两极格局凸显;研究期内原港航服务业发展水平较高地区提升速度快于原港航服务业发展水平较低地区。(3)我国沿海地区港航服务业产业发展规模的整体提升速度显著高于其发展效益、发展潜力、发展基础条件的整体提升速度,港航服务业发展规模扩张迅速,产业发展质量有待进一步提升。(4)除广西、海南、河北外,其他地区港航服务业发展水平均有不同程度提升,其中上海起到带头发展的作用,广东、江苏提升最为明显,最终与上海并列处于高值区。(5)上海在港航服务业的发展规模、发展效益、发展潜力3个维度都位居第一;广东在发展基础上稳居第一并在发展规模和发展潜力上位居第二的位置;江苏综合表现突出,基础条件位于第二,发展规模、发展效益、发展潜力都位居第三;河北、广西、海南在4个维度均表现较差。(6)基于GMM模型的中国沿海地区港航服务业发展水平的影响因素分析结果显示产业结构、对外开放、腹地经济、信息技术对港航服务业发展水平均呈现正相关,其中产业结构、腹地经济、信息技术以较高显著水平通过检验。

基于FPGA的图像传感器驱动控制与协议解析

在当前图像采集领域高分辨率、高帧率的要求下,移动产业处理器接口(Mobile Industry Processor Interface,MIPI)协议成为主流的高速图像数据传输协议。基于MIPI协议,采用IMX214图像传感器,通过自主设计图像数据采集板,满足4通道高速差分信号传输,提出一种高速图像传感器数据采集电路的设计方案。使用现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)对图像传感器进行驱动控制与协议解析。测试结果表明,所设计的Verilog代码能够正确配置图像传感器的寄存器,并完成工作模式切换、字节串并转换、包头解析与格式转换等步骤,最终获得原始图像数据。

长三角地区先进制造业集聚的时空分异及影响因素研究

基于2011—2020年长三角三省一市面板数据,运用区位熵、双向固定效应模型等方法,探究长三角地区先进制造业集聚时空分异及影响因素。研究发现:关于时空分异,从空间维度看,集聚水平不平衡,上海为第一层次,江苏为第二层次,浙江和安徽为第三层次;从时间维度看,存在上海和江苏趋稳、浙江上升、安徽波动的总体态势;从细分产业层面看,三省一市均存在有升、有稳、有降的结构特征。关于影响因素,对外开放、科技创新、固定资产投资、市场规模对先进制造业集聚产生正向作用,而金融机构投入、核心企业数量未产生明显的促进作用。