Evaluation of the Economical and Intensive Use of Industrial Land in Chizhou Economic and Technological Development Zone

Based on the subdivision of industrial land in Chizhou Economic and Technological Development Zone,this paper builds the evaluation indicator system for the economical and intensive use of industrial land in the development zone,to analyze the current situation of economical and intensive use of industrial land. The results show that the levels of economical and intensive use of industrial land vary in the development zone; the factors affecting the intensive degree of various industries also vary; the industry in Chizhou Economic and Technological Development Zone is still in the transition phase from inefficient use to low level of use to intensive use.

Industrial Carbon Emission Distribution and Regional Joint Emission Reduction:A Case Study of Cities in the Pearl River Basin,China

China’s low-carbon development path will make significant contributions to achieving global sustainable development goals.Due to the diverse natural and economic conditions across different regions in China,there exists an imbalance in the distribution of car-bon emissions.Therefore,regional cooperation serves as an effective means to attain low-carbon development.This study examined the pattern of carbon emissions and proposed a potential joint emission reduction strategy by utilizing the industrial carbon emission intens-ity(ICEI)as a crucial factor.We utilized social network analysis and Local Indicators of Spatial Association(LISA)space-time trans-ition matrix to investigate the spatiotemporal connections and discrepancies of ICEI in the cities of the Pearl River Basin(PRB),China from 2010 to 2020.The primary drivers of the ICEI were determined through geographical detectors and multi-scale geographically weighted regression.The results were as follows:1)the overall ICEI in the Pearl River Basin is showing a downward trend,and there is a significant spatial imbalance.2)There are numerous network connections between cities regarding the ICEI,but the network structure is relatively fragile and unstable.3)Economically developed cities such as Guangzhou,Foshan,and Dongguan are in the center of the network while playing an intermediary role.4)Energy consumption,industrialization,per capita GDP,urbanization,science and techno-logy,and productivity are found to be the most influential variables in the spatial differentiation of ICEI,and their combination in-creased the explanatory power of the geographic variation of ICEI.Finally,through the analysis of differences and connections in urban carbon emissions under different economic levels and ICEI,the study suggests joint carbon reduction strategies,which are centered on carbon transfer,financial support,and technological assistance among cities.

Has EU ETS caused carbon leakage in the EU carbon-intensive industries?A study from the perspective of bilateral trade

Reducing carbon leakage is one of the important reasons that was put forward by the EU for their border adjustment tax proposal.However,there are not many empirical evidences supporting significant carbon leakage in the EU carbonintensive industries.This paper applied the structural breakpoint test for the time series of import and export of cement,aluminum,and steel between EU and China.No significant structural changes were detected in the import and export of cement and aluminum.However,there proved to be two breakpoints,i.e.,2003 and 2008,in the import and export of steel,in which at the second point the overall level of steel import increased.Furthermore,Granger causality test was applied to the carbon price from European Climate Exchange and the import and export of steel.It was found that the carbon price was the Granger cause for the changes of steel import,but not the Granger cause for the export.The results of the study showed that the impacts of EU ETS on the EU carbon-intensive industries were limited.Among the three industries,partial evidence of carbon leakage was only found in the steel industry.Therefore,reducing carbon leakage could not serve as a convincing justification for border adjustment tax.

Study on the Path of Upgrading of LaborIntensive Industries by Urbanization 2 China

中国劳动密集型产业转型升级迫在眉睫.从城市化角度分析了我国劳动力密集型产业升级的路径.首先分析了城市化促进劳动密集型产业升级的动力机制,然后从资源的优化配置、高端生产要素的聚集、劳动生产率的提高以及人力资本价值的增值四个视角探讨了城市化对劳动力密集型产业升级的作用机理,最后从城市市场规模扩大、城市空间扩张、空间城市结构调整以及城市体系系统四个角度分析了促进劳动密集型产业升级的途径.

The Construction of Intensive and Organized Agricultural Industrialization Model with Farmers as the Main Body

The current agricultural conflicts of China are analyzed and the forms and drawbacks of current agricultural industrial structure are listed.The situations for intensifying the farmland with appropriate scale are analyzed from the aspects of policy,farmers,farms and modernization of agriculture.It is pointed out that the situations for the intensive use of land are becoming mature.Taking the single pig-breeding chain as an example,the agricultural industrialization model,which takes farmers as the main body,is expounded.Besides,its functions and significance in solving "the three agriculture problems" and facilitating the modernization of agriculture are discussed.

Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area

In recent years, great economic output of land has been achieved in economic-technological development areas in China, but the intensity of land use in some of these areas is very low. The degree of the low intensity of land use needs to be evaluated. The current method of comprehensive evaluation and grading by one index system has the limitations due to the existence of differences between regions and industries. This paper evaluates industrial land use intensity by Total Factor Productivity (TFP) analysis, which not only measures the intensity but also illustrates the ef-ficiency of input factors. This method is applied to the Beijing Economic-technological Development Area (BDA). A comparison analysis on factor use efficiency and input structure of capital and labor between industries is also carried out in the absence of a labor-income ratio.

Relationship between Industrial Coupling Coordination and Carbon Intensity in the Bohai Rim Economic Circle

Coordinated development of new high-tech industries and traditional industries is crucially important for economic growth and environmental sustainability,and it has become a focus of academic and governmental bodies.This study establishes the comprehensive evaluation index system of high-tech industries and traditional industries,and uses the method of principal component analysis,coupling and coupling coordination degree model to determine the level of industry coordinated development.Then,Pearson correlation test is used to further analyze the correlation between regional industrial coupling coordination and carbon intensity of the seven provinces in the Bohai Rim Economic Circle(BREC).The results are as follows.(1)There is a negative correlation between industrial coupling coordination and carbon intensity.(2)The degree of industrial coordination of Beijing,Tianjin,and Shandong is significantly higher than other provinces in the BREC,as both the high-tech industries and traditional industries of these three provinces have reached a high level of development and achieved high coupling.The high-tech industries of the three provinces show positive changes,whereas the traditional industries show negative changes,which indicates that the new high-tech industries are driving the upgrading of the traditional industries by the application of high technologies.(3)From 2011 to 2016,the number of provinces with a low degree of high-tech and traditional industrial coordination fell from three to one.The traditional industries in Hebei and Inner Mongolia have been upgraded by strengthening their technological innovation with the introduction of rapid high-tech industrial development.These findings are a useful reference for regional industrial coupling coordination and carbon emission reduction.

The Impact of Industrial Agglomeration on Carbon Emission Intensity:Evidence from China

The paper measures the total carbon emissions and carbon emission intensity of different Chinese provinces between 2000 and 2012,then analyses the spatial features and dynamic evolution of carbon emission intensity through exploratory spatial data analysis,to explore its clustering characteristics of spatial and temporal distribution and dynamic evolution.The effect of industrial agglomeration on the carbon emission intensity in China is estimated by using spatial econometric model.According to the research,three new findings are revealed as follows:firstly,inter-provincial carbon emission intensity in middle-west and northeast areas is much higher than southeast areas in China.Secondly,the spatial domain dependence and difference of China's inter-provincial carbon intensity exist simultaneously.Thirdly,the elastic coefficient of carbon intensity for industrial agglomeration change is between-0.228%and-0.37%.On the basis of these conclusions,the paper will put forward several policy recommendations according to empirical study.

数字化转型对工业企业创新效率的影响研究

本文就数字化转型对工业企业创新效率的影响进行实证检验。其中,以工业企业创新效率为因变量,数字化转型为自变量,企业规模、企业产权结构、对外开放程度、资产负债率、创新氛围、政府支持为控制变量,通过多重共线性分析、回归分析、异质性检验和稳健性分析,验证了因变量和自变量之间的相关性。结果表明,我国工业企业数字化转型显著提高了工业企业创新效率;不同行业类型的工业企业中,数字化转型对工业企业创新效率的影响不同,在资源密集型和劳动密集型产业中,数字化转型对工业企业创新效率存在线性促进作用;在资本密集型产业中,数字化转型对工业企业创新效率存在非线性影响,呈倒U型;在技术密集型产业中,数字化转型对工业企业创新效率存在非线性影响,呈U型。在此基础上,为提高工业企业创新效率,分别从企业层面和政府层面提出了针对性建议与政策,充分发挥数字化转型对工业企业创新效率的促进作用。

环境规制、数字化转型与绿色技术创新——来自中国工业企业的数据分析

在工业强国战略日益深化的背景下,环境规制对工业企业绿色技术创新的影响已成为研究的热点问题。利用2007—2021年中国A股工业上市公司为研究样本的有效数据,构建非线性模型进行实证研究,研究发现:环境规制强度与工业企业绿色技术创新呈“U形”关系,环境规制在低强度范围内抑制了绿色技术创新,而在达到最佳环境强度范围时则促进了绿色技术创新。数字化转型对工业企业绿色技术创新有正向影响。数字化转型是环境规制强度促进绿色技术创新关系的重要途径,政府环境规制驱动企业数字化转型进而作用于绿色技术创新。异质性检验发现,环境规制对绿色技术创新的影响在东西部地区、政府补贴程度高和非国有工业企业中的影响更为显著。未来应适度加强环境规制强度,同时通过企业数字化转型,持续推动工业企业绿色技术创新,构建绿色低碳循环发展经济体系。

劳动力迁移与制造业技术创新效率提升——基于30个省级面板数据分析

劳动力迁移可改变迁入地收入分配机制,解决制造业技术创新资源投入冗余与产出不足矛盾,助力制造业高质量发展。文章基于2012—2021年中国30个省级面板数据,结合新古典经济增长和新迁移等理论,实证检验劳动力迁移与制造业技术创新效率的关系。研究发现:劳动力迁移可显著提升制造业技术创新效率,且会随着时间推移而减弱;人口集聚效应、知识溢出效应是劳动力迁移与制造业技术创新效率关系的中介变量;劳动力迁移对东部和中部地区、劳动密集型和资本密集型制造业技术创新效率具有显著正向作用;市场化程度和政府干预均能增强劳动力迁移对制造业技术创新效率的促进作用,但这一影响存在最优边界。

新型工业化助推新质生产力发展的实现路径研究——来自我国省级面板的经验证据

本文使用熵值法测度了新质生产力和新型工业化发展水平,考察了新型工业化促进新质生成力发展的途径。实证结果表明:(1)我国新质生产力总体得分显示出稳定增长的态势,这种增长趋势凸显了技术进步和产业升级在推动经济发展中的重要作用。(2)新型工业化能够显著提升新质生产力水平,其影响渠道包括提升研发强度和数字基础设施水平。(3)异质性检验结果表明交通基础设施更为完善的地区发展也较为成熟,其新质生产力受到新型工业化的影响相对较少,同时人均工资水平和发展水平较高的省份,其新质生产力受到新型工业化的影响效果更为明显。本研究还深入分析了我国近年来新型工业化及新质生产力的发展状况,并通过实证研究为提高新型工业化水平以促进新质生产力发展提供了依据。

城市数字普惠金融发展对碳排放强度影响研究

数字普惠金融作为一种新兴金融形态,为实现“双碳”目标发挥了重要作用。文章以2011—2021年中国279个城市面板数据为研究样本,运用基准回归模型、面板门槛模型以及空间杜宾模型,分析了城市数字普惠金融发展对碳排放强度的影响。研究发现:数字普惠金融发展能够显著降低碳排放强度,在经过一系列稳健性检验后该结论仍然成立;数字普惠金融发展对碳排放强度的影响存在空间溢出效应和异质性;数字普惠金融会因自身发展水平、产业结构发展水平和绿色金融发展水平的不同对碳排放强度产生非线性影响。

考虑生产安全的工业园区联络线功率平滑策略

高比例新能源接入工业园区已成为高耗能工业负荷低碳转型的主要途径,而联络线功率剧烈频繁波动是园区低碳转型的关键问题.因此,提出一种考虑生产安全的工业园区联络线功率平滑策略.首先,分析电解铝和矿热炉的可控设备控制模型,构建基于联络线功率波动反馈的工业负荷功率闭环反馈控制模型.考虑工业生产核心影响因素,构建温度状态指标模型,形成考虑工业生产核心因素的典型工业负荷需求侧响应惩罚成本模型,并以工业生产的惩罚成本最小为优化目标,将控制目标分配至各工业负荷.最后,构建基于云南电网文山区域网架的MATLAB在线计算和RTDS仿真实时交互算例,结果表明,该算法自适应更新生产设备温度,有效降低功率调节对生产的影响,且联络线购电成本可降低36.4%.

试点碳排放权交易市场对中国工业低碳转型的作用机制研究

本文通过构建理论模型,探讨试点碳排放权交易市场影响中国工业低碳转型的作用机制,并从七个试点省份出发,选取2006—2021年的省级面板数据,运用多期双重差分法对试点碳排放权交易市场政策的环境经济效应进行分析。研究结果显示,试点碳排放权交易市场能够有效降低碳排放强度和提升工业低碳全要素生产率,从而促进中国工业的低碳转型。机制检验结果表明,试点碳排放权交易市场主要通过成本约束和结构升级途径促进工业低碳转型,而技术进步途径的作用尚未实质性显现。异质性分析结果表明,在经济发展水平和研发水平更高的地区,碳排放权交易政策对碳排放强度的降低和生产率的提升效果更加明显;而在外商投资水平更高的地区,碳排放权交易政策对低碳全要素生产率的提升效果更加明显。

数字贸易对制造业全球价值链地位的影响研究——基于跨国面板数据的经验证据

基于2007-2020年54个国家的跨国面板数据,采用固定效应模型和面板门槛模型,实证检验了数字贸易发展对一国制造业全球价值链地位的影响。研究发现,数字贸易与制造业全球价值链地位之间存在“先负后正”的U型关系,即在数字贸易发展初期,其对制造业全球价值链地位会产生一定的抑制作用;超过一定门槛值后,这种抑制作用会慢慢演变成促进作用。研发强度和贸易开放度对数字贸易提升国家制造业全球价值链地位起到正向调节作用;进一步的异质性检验发现,数字贸易对发达国家制造业全球价值链地位具有更大的提升作用。据此,文章提出应加大数字贸易发展、重视研发投入力度、推进高水平贸易开放等对策建议。

基于区块链的知识密集型服务业数据共享动态激励机制的构建

过高的初始投资和维护成本以及知识密集型服务组织间天然竞争关系限制区块链广泛应用及数据共享平台发展。通过对知识密集型服务业数据共享策略进行演化博弈分析,构建一种基于区块链智能合约的知识密集型服务组织的数据共享动态激励机制。针对产业数据共享现状,于博弈模型中引入区块链投资维护成本、数据竞争成本及激励成本/收益3个影响因素,通过复制动态方程分析组织间数据共享演化稳定策略。设计数据共享激励规则,并利用智能合约技术实现动态调整激励成本/收益,鼓励服务组织积极参与数据共享。结果表明:当服务组织接受符合数据共享策略条件的激励收益后,数据共享参与者比例最终达到饱和,且激励收益越大,趋近饱和状态的速度越快;针对不同数据共享策略的激励成本不仅有效增加知识密集型服务组织参与数据共享的意愿,且为知识密集型服务业数据共享平台带来额外收入。

知己彼,方谋合:创新绩效反馈对企业研发合作的影响

绩效反馈在企业行为决策中发挥重要作用。基于2010—2020年中国A股计算机、通信和其它电子设备制造业上市公司样本数据,探讨创新绩效反馈(以创新结果测度的细化绩效反馈)对企业研发合作的影响,以及企业研发强度对两者关系的调节作用,进一步比较上述影响在不同性质企业(国有企业与非国有企业、家族企业与非家族企业)中的异同。结果发现:历史、行业创新绩效期望落差对企业研发合作具有负向影响,历史、行业创新绩效期望顺差对企业研发合作具有正向影响。企业研发强度正向调节历史、行业创新绩效期望落差与企业研发合作间的负相关关系,正向调节历史、行业创新绩效期望顺差与企业研发合作间的正相关关系。在拓展性分析中,与非国有企业相比,国有企业创新绩效期望顺差对研发合作的正向影响更显著,其落差的负向影响也更显著。与非家族企业相比,家族企业创新绩效期望顺差对研发合作广度的正向影响更显著,对研发合作深度的影响较小;家族企业创新绩效期望落差对研发合作广度的负向影响更显著,对研发合作深度的负向影响较小。结论具有明确的企业创新活动指向性,有利于丰富企业研发合作决策情景。

技术密集型产业区域产业链建构路径研究

签署《区域全面经济伙伴关系协定》(RCEP)等自由贸易协定,不仅能够提高成员国间货物、技术、投资、人员往来频率,也可为域内国家技术密集型产业自主发展提供重要机会。然而,构建区域自主产业链存在技术创新资源、全产业链资源、大市场资源开发利用不足,政策及市场资源组织调配能力发挥不充分,各环节价值累积减少等问题。为此,针对技术密集型产业区域产业链建构的关键要素与实现路径,采取案例研究方法,对我国新能源汽车产业东亚地区产业链建构过程进行研究,从创新链、产业链、价值链、企业培育及市场拓展角度分析其形成机制。研究发现,我国新能源汽车区域产业链建构经历基础技术攻关、国内市场及产业链培育、国内外区域产业链及产业集群建立3个阶段;政策、创新链及产业链协同发展,形成政策主导到市场主导、国内创新链到区域协同创新体系、传统产业到区域产业链的全路径。研究可为具有特定产业结构和产品特性的技术密集型产业实现区域产业链建构提供理论框架和实践启示。

外贸是否会带来工资差距及技能极化?——来自中国家庭追踪调查(CFPS)数据的经验证据

本文研究在应对贸易一体化时我国不同技能劳动者之间的工资差距和技能分布如何作出相应的反应。利用2010—2020年期间中国家庭追踪调查(CFPS)数据、联合国贸易数据(UNComtrade)等构造面板,在控制内生性问题的基础上,估计结果表明贸易对以所受教育为基准的中级和初级技能劳动者之间的工资差距有负面影响,对高级和中级技能组间的工资差距则有积极影响。且前者对于劳动技能的均值和分布具有负向作用,后者则有正向作用。因此,外贸活动会诱发技能极化,而工资差距解释了由贸易导致技能极化作用的50%。此外,在中年工人组以及高技术密集型行业中,收入差距特别是高中级技能组间的收入差距所带来的技能极化问题更为突出。鉴于一国的技能分配会长远地影响到未来的经济增长和不平等,因此,了解工资收入分配的变化并在政策设计中予以充分考虑至关重要,本文在劳动保障和教育支持等方面提出了相关的政策建议。