Research on the Impact of China’s Foreign Trade Technology Spillover on Green Total Factor Productivity of Countries Along the“Belt and Road”:Based on the Institutional Quality Threshold Effect

China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model to empirically analyze the institutional quality threshold effect of China’s foreign trade technology spillover on the GTFP of countries along the“Belt and Road.”The results show that China’s foreign trade technology spillover has a significant institutional quality double threshold effect on the green total factor productivity of the countries along the“Belt and Road.”As the institutional quality of the countries along the“Belt and Road”crosses a specific threshold value,the impact of China’s foreign trade technology spillover on the green total factor productivity of the countries along the“Belt and Road”has a significant positive promoting effect,and corresponding suggestions are put forward.

Does innovative city pilot policy promote urban green growth in China?An analysis of green total factor productivity,2005-2020

The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into the evaluation of ICPP.Based on the panel data of 223 cities in China from 2005 to 2020,we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth.The main results show that(i)The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth,mainly manifested in the urban green technological progress improvement.(ii)The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities,mainly affecting key cities such as provincial capitals.(iii)The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.

Empirical Analysis of the Impact of Green Finance and Technological Progress on Total Factor Productivity in China’s Industrial Sector

The enhancement of industrial green total factor productivity is pivotal for achieving high-quality and sustainable economic development.This study assesses China’s performance using the SBM-GML model,employing province-level panel data spanning from 2004 to 2020.Furthermore,we examine the influence of green finance and technological progress on industrial green total factor productivity using a spatial econometric model.The findings uncover that the relationship between the level of green financial development and industrial green total factor productivity follows a U-shaped curve.Initially,low levels of green financial development exert a suppressive effect on industrial green total factor productivity,proving ineffective in the short term.However,with the progression of green finance development,a positive and significant long-term impact on industrial green total factor productivity emerges.Moreover,technological progress demonstrates a noteworthy promotional effect on industrial green total factor productivity.The analysis delves deeper into revealing that industrial structure and environmental regulation intensity exhibit a significant negative relationship with industrial green total factor productivity.In contrast,both energy structure and education level showcase a substantial positive relationship with industrial green total factor productivity.

Near-infrared photoimmunotherapy of pancreatic cancer using an indocyanine green-labeled anti-tissue factor antibody

AIM To investigate near-infrared photoimmunotherapeutic effect mediated by an anti-tissue factor(TF) antibody conjugated to indocyanine green(ICG) in a pancreatic cancer model.METHODS Near-infrared photoimmunotherapy(NIR-PIT) is a highly selective tumor treatment that utilizes an antibody-photosensitizer conjugate administration, followed by NIR light exposure. Anti-TF antibody 1849-ICG conjugate was synthesized by labeling of rat IgG2 b anti-TF monoclonal antibody 1849(anti-TF 1849) to a NIR photosensitizer,ICG. The expression levels of TF in two human pancreatic cancer cell lines were examined by western blotting. Specific binding of the 1849-ICG to TF-expressing BxPC-3 cells was examined by fluorescence microscopy. NIR-PITinduced cell death was determined by cell viability imaging assay. In vivo longitudinal fluorescence imaging was used to explore the accumulation of 1849-ICG conjugate in xenograft tumors. To examine the effect of NIRPIT, tumor-bearing mice were separated into 5 groups:(1) 100 μg of 1849-ICG i.v. administration followed by NIR light exposure(50 J/cm2) on two consecutive days(Days 1 and 2);(2) NIR light exposure(50 J/cm2) only on two consecutive days(Days 1 and 2);(3) 100 μg of 1849-ICG i.v. administration;(4) 100 μg of unlabeled antiTF 1849 i.v. administration; and(5) the untreated control. Semiweekly tumor volume measurements, accompanied with histological and immunohistochemical(IHC) analyses of tumors, were performed 3 d after the 2nd irradiation with NIR light to monitor the effect of treatments. RESULTS High TF expression in BxPC-3 cells was observed via western blot analysis, concordant with the observed preferential binding with intracellular localization of 1849-ICG via fluorescence microscopy. NIR-PIT-induced cell death was observed by performing cell viability imaging assay. In contrast to the other test groups, tumor growth was significantly inhibited by NIR-PIT with a statistically significant difference in relative tumor volumes for 27 d after the treatment start date [2.83 ± 0.38(NIR-PIT) vs 5.42 ± 1.61(Untreated), vs 4.90 ± 0.87(NIR), vs 4.28 ±1.87(1849-ICG), vs 4.35 ± 1.42(anti-TF 1849), at Day 27, P < 0.05]. Tumors that received NIR-PIT showed evidence of necrotic cell death-associated features upon hematoxylin-eosin staining accompanied by a decrease in Ki-67-positive cells(a cell proliferation marker) by IHC examination.CONCLUSION The TF-targeted NIR-PIT with the 1849-ICG conjugate can potentially open a new platform for treatment of TF-expressing pancreatic cancer.

Community structure and controlled factor of attached green algae on the Porphyra yezoensis aquaculture rafts in the Subei Shoal, China

This study analyzes the community structure, the quantity changes of the algae and the effect of important environmental factors and estimates the total biomass of the attached green algae in the survey areas. The study uses data from surveys of the attached green algae on the Porphyra yezoensis aquaculture rafts and data regarding the environmental factors from October 2010 to April 2011 in the Subei Shoal. The attached green algae on the rafts included Ulva prolifera, Capsosiphon groenlandicus, U. linza, U. intestinalis, U. clathrata, and U. cornpressa. The biomass changes of the attached green algae exhibited an inverted parabola： the biomass was the highest （14 898 t） in April, and was the second highest （2 034 t） in November; it was lowest in February （only 729 t） and increased sharply from March to April. The species diversity differed significantly among the seasons. In September and October, when the P. yezoensis aquaculture rafts were initially set up, the attached green algae had a high biodiversity, while from December to the next February, a variety of green algae species coexisted on the rafts, although the biomass was low, and from March to April, as the biomass increased sharply, the species diversity dropped to the minimum. During this time, C. groenlandicus was apparently dominant with the maximum biomass proportion up to 80%, while the U. prolifera proportion increased exponentially to 20% to 40%. The water temperature had a direct regulating effect on the biomass and the species succession of the attached green algae. The estimation of the community dynamics and the biomass of the green algae provided the evidence needed to track the origin of the large-scale green tide in the southern Yellow Sea.

Repair of spinal cord injury by neural stem cells transfected with brain-derived neurotrophic factor-green fluorescent protein in rats A double effect of stem cells and growth factors?

Brain-derived neurotrophic factor（BDNF）can significantly promote nerve regeneration and repair.High expression of the BDNF-green fluorescent protein（GFP）gene persists for a long time after transfection into neural stem cells.Nevertheless,little is known about the biological characteristics of BDNF-GFP modified nerve stem cells in vivo and their ability to induce BDNF expression or repair spinal cord injury.In the present study,we transplanted BDNF-GFP transgenic neural stem cells into a hemisection model of rats.Rats with BDNF-GFP stem cells exhibited significantly increased BDNF expression and better locomotor function compared with stem cells alone.Cellular therapy with BDNF-GFP transgenic stem cells can improve outcomes better than stem cells alone and may have therapeutic potential for spinal cord injury.

数字乡村建设、资源要素错配与农业绿色全要素生产率

数字乡村建设与农业绿色发展深度融合是推动农业高质量发展的新动力引擎。本文选取2011-2021年中国31个省级面板数据,构建数字乡村建设和农业绿色全要素生产率的评价体系,多维度分析数字乡村建设对农业绿色全要素生产率的影响及作用机制。研究发现,数字乡村建设既可以直接促进农业绿色全要素生产率提升,也可以通过带动绿色技术进步而促进农业绿色全要素生产率提升,还可以通过降低土地资源错配、资本资源错配、劳动力资源错配程度而间接促进农业绿色全要素生产率。数字乡村建设对农业绿色全要素生产率的影响异质性明显,东部地区、南方、粮食主产区的数字乡村建设的正向推动作用较强。

Spatial-temporal Heterogeneity of Green Development Efficiency and Its Influencing Factors in Growing Metropolitan Area: A Case Study for the Xuzhou Metropolitan Area

This study analyzed the spatial-temporal heterogeneity of green development efficiency and its influencing factors in the growing Xuzhou Metropolitan Area for the period 2000–2015.The slacks-based measure(SBM)model,spatial autocorrelation,and the geographically weighted regression(GWR)model were used to conduct the analysis.The conclusions were as follows:first,the overall efficiency of green development of the Xuzhou Metropolitan Area decreased,the regional differences and spatial agglomeration shrunk and differences within the region were the main contributors to the regional differences of green development efficiency.Second,the counties with high-efficiency green development were distributed along the coast,and along the routes of the Beijing-Shanghai and the Eastern Longhai railways.A developing axis of the high-efficiency counties was the main feature of the spatial pattern for green development efficiency.Third,regarding spatial correlation and green development efficiency,the High-High type counties in the Xuzhou Metropolitan Area formed a centralized distribution corridor along the inter-provincial border areas of Henan and Jiangsu,whereas the Low-Low type counties were concentrated in the external,marginal parts of the metropolitan area.Fourth,the major factors(ranked in decreasing order of impact)influencing green development efficiency were innovation,government regulations,the economic development level,energy consumption,and industrial structure.These factors exerted their influence to varying extents;the influence of the same factor had different effects in different regions and obvious spatial differences were observed for the different regions.

数字经济、绿色创新与企业绿色全要素生产率

文章从绿色创新视角切入,以2011—2022年中国沪深A股重污染行业上市公司为样本,实证考察了城市数字经济对重污染企业绿色全要素生产率的影响效应和内在机制。研究发现:数字经济对重污染企业绿色全要素生产率具有显著的提升作用,且对国有性质和中小城市的重污染企业的促进作用更强;绿色创新是数字经济驱动重污染企业绿色生产的重要传导机制,但仅绿色发明专利申请量有中介效应,增加绿色实用新型专利不是数字经济提升重污染企业绿色全要素生产率的有效途径;数字经济对重污染企业绿色全要素生产率的推动作用表现出边际效应递增的非线性特征,且两者之间的关系存在绿色创新的门槛约束,随着绿色发明专利和绿色实用新型专利申请量的增加,数字经济对重污染企业绿色全要素生产率的促进作用分别表现出效应增强和效应减弱的非线性特征。

农地流转提升了农业绿色全要素生产率吗?

在2006-2021年中国30个省份的面板数据基础上,本文通过SBM-GML超效率模型测算中国各省份农业绿色全要素生产率。采用双向固定效应模型和工具变量模型等方法,实证分析农地流转和农业绿色TFP之间的内在联系,并分析其影响路径机制。研究发现,中国农业绿色全要素生产率能够持续增长的主要原因在于技术进步。而农地流转能够推动农业绿色全要素生产率增长则是得益于技术效率改进。从异质性分析来看,农地流转对农业绿色全要素生产率增长的促进作用最显著的是东部地区和非粮食主产区,但在西部地区却正好相反。因此,中国应当加快推进农地流转工作进展,促进农业生产和经营管理模式变革,加快研发、推广和应用农业绿色生产技术,构建区域协作互助机制促进地区交流,进而促进农业绿色全要素生产率的提高。

环境规制与绿色全要素生产率:促进还是抑制?

在“双碳”背景下通过制定环境规制政策提高绿色全要素生产率,推动经济绿色发展具有现实意义。以2000—2020年我国30个省级行政区的面板数据为基础,构建超效率(SBM—GML)模型阐释环境规制与绿色全要素生产率之间的内在逻辑,在分别控制时间和地区的双固定效应和面板分位数回归模型(PQRM)的基础上得出以下结论:(1)环境规制对绿色全要素生产率的作用效果是先抑制后促进;(2)由于经济发展水平的区域性差异,环境规制对高端分位点省级行政区的绿色全要素生产率的促进程度远小于低端分位点省级行政区;(3)技术进步是我国东、中、西和东北等地区绿色全要素生产率提高的关键因素,全域技术效率尤其是规模效率是阻碍绿色全要素生产率提升的关键因素。因此,地方政府首先要结合当地资源禀赋及自然环境承受能力,完善环境规制政策,缩小区际差异;其次要加强基础性研究,破除技术垄断,优化生产流程,提升规模经济,提高绿色全要素生产率。

科技服务业试点对城市绿色全要素生产率的影响研究

科技服务业试点对于推动绿色全要素生产率的提高具有重要作用。通过利用2005—2021年292个地级市的面板数据,使用双重差分法、中介模型研究科技服务业试点对中国绿色全要素生产率的影响。研究发现,科技服务业试点能提升中国绿色全要素生产率;人均消费支出在科技服务业试点与绿色全要素生产率之间发挥中介作用;科技服务业试点可以通过促进产业结构高级化间接提升绿色全要素生产率。因此,应进一步发挥人均消费支出对绿色全要素生产率的促进作用,促进企业加快技术创新,科技服务业试点政策要支持新兴产业快速发展。

碳交易如何影响绿色低碳发展?——基于多期DID与连续DID的经验研究

碳交易如何影响以绿色全要素生产率为核心指标的绿色低碳发展,需进行实证检验。基于2005—2019年中国省际面板数据,运用多期DID模型评估碳交易对绿色低碳发展的影响及其作用机制。结果表明:碳交易促进了试点地区绿色低碳发展,在经过安慰剂、PSM-DID、剔除用能权交易试点样本等一系列稳健性检验后,结论仍成立;碳交易实施对能源结构优化、产业结构升级与技术进步具有正向影响,绿色能源消费占比增加、高技术产业结构提升与技术进步是碳交易提高试点地区绿色低碳发展水平的主要机制。构建连续DID模型,研究碳交易规模对绿色低碳发展的影响,发现碳交易规模扩大对绿色低碳发展水平具有正向影响。研究结论为碳交易助力绿色低碳发展提供了经验支持,也为区域碳市场及全国统一碳市场的进一步扩容提供了有价值的启示。

“双碳”目标下黄河流域旅游绿色生产率时空分异特征及影响因素——以陕西段为例

陕西作为黄河流域旅游资源赋存高密度区,其绿色发展对黄河流域高标准高质量地实现“双碳”目标起着重要作用。收集2010—2021年相关数据,采用非期望产出的SBM模型、ML指数及Tobit回归模型等方法对陕西旅游绿色生产率(TGTFP)的时空分异特征及影响因素进行了分析。研究表明:(1)在时序发展上,2010—2021年内陕西旅游能源消耗与碳排放总量呈上升态势,其静态TGTFP唯有2017年实现有效,动态ML指数在2010—2013年和2014—2019年内实现有效,但其他年份均表现为无效,在发展过程中均呈左高右低的山峰型。(2)在空间分异上,TGTFP呈现“关中最强,陕北高于陕南”的分异特征,三大区域内部市域发展渐趋均衡,而三大区域间分化显著导致了陕西总差异扩大。(3)影响因素上,政府干预、环境规制及城镇化水平等外部因素对陕西旅游绿色生产率具有显著的推动作用,但仍有强烈的内部阻力来自旅游总收入、旅游能源消费及碳排放。

金融科技能提升城市包容性绿色全要素生产率吗?

包容性绿色全要素生产率强调绿色发展、社会公平与经济增长协调并进,是判断城市经济发展质量的重要依据。本文以2011—2019年中国284个地级及以上城市的数据为样本,实证检验了金融科技对城市包容性绿色全要素生产率的影响及作用机制。研究发现,金融科技对城市包容性绿色全要素生产率具有明显的促进作用,主要表现在技术进步指数显著提升,这一结论在经过一系列内生性处理和稳健性检验后依然成立。机制分析显示,金融科技能够通过促进绿色创新、增加环保投资以及激发创业活力提升城市包容性绿色全要素生产率。异质性分析表明,金融科技对包容性绿色全要素生产率的提升作用在人力资本水平、金融发展水平和基础设施水平较高的城市中更为明显。本文的研究为加快实现经济绿色发展和包容性增长的“双重红利”提供了重要的经验证据。

中国蛋鸡饲养绿色全要素生产率实证研究

为提高蛋鸡生产效率的同时减少污染排放,在考虑负向产出以及规模异质性和地区异质性的前提下,对蛋鸡养殖绿色全要素生产率(LHBG)进行测度。构建3层次SBM-MML指数,并将其分解为规模结构效率、技术效率以及管理效率。结果表明,2004-2018年平均LHBG为0.9967;大中小规模LHBG分别为0.9949、1.0013、0.9938;东中西部地区LHBG分别为0.9930、0.9980、1.0040。我国蛋鸡饲养绿色全要素生产率总体下降0.33%;规模上中规模最高、大规模其次、小规模最低;区域上西部最高,中部其次,东部最低;其分解效率表现为规模结构效率和技术效率提高,管理效率下降。

金融要素集聚的绿色创新效应:空间关联特征与城市群异质性

区域绿色技术创新体系建设是经济绿色转型的重要基础,而金融要素空间集聚则充当着科技创新活动的重要加速器。现有文献围绕着金融要素集聚和绿色技术创新两条主线展开广泛讨论,也关注到金融要素集聚所内生的绿色创新效应,但较少基于城市群这一新时期区域协同发展的新型空间载体,系统考察两者的空间关联效应及其区域异质性特征。因此,选取国内十大代表性城市群,对其内部金融要素集聚和绿色技术创新的时空演变轨迹和空间关联异质性进行多维度诊断。研究发现:第一,金融要素集聚有助于通过各种空间效应加速城市群内部的绿色金融发展,进而正向驱动区域绿色技术创新水平的提升;第二,城市群范围内的金融要素集聚不仅会对区域绿色技术创新产生明显的本地促进效应,也会同时形成显著的空间溢出效果;第三,金融要素集聚对于绿色技术创新的空间效应还会受到城市群金融集聚模式、行政层级特征、经济发展状况等因素制约。有鉴于此,区域协同发展过程中,应围绕城市群发展定位构建差异化的金融要素集聚模式,因之打造契合于不同城市群现实约束的绿色金融服务体系和绿色技术创新体系;同时深度挖掘金融要素集聚对于绿色金融发展和绿色技术创新的空间传导效应及其异质性特征,推动金融改革和绿色发展的有效空间互动。

改进的Green-Ampt模型及其试验验证

鉴于Green-Ampt模型过于简化、难以反映实际入渗特征,且其假设与实际入渗规律不符,本文为了弥补Green-Ampt模型的不足,提出了一种改进的Green-Ampt模型。提出的模型考虑了含水率与土体深度的关系,将土壤剖面划分为饱和区、过渡区以及天然区,土柱试验验证了所提出模型的准确性,也证实了入渗过程中过渡区的存在。试验结果表明:Green-Ampt模型计算值明显偏离实际累计入渗量,提出的模型总体上更接近实际累计入渗量。将该模型用于非饱和斜坡稳定性分析,计算结果揭示了Green-Ampt模型低估了斜坡的稳定性系数。提出的改进Green-Ampt模型为分析降雨滑坡风险提供参考。

中欧班列对中国城市绿色全要素生产率的影响研究

作为连接中国与欧洲的重要陆上贸易通道,中欧班列的开通运行对我国经济与环境产生了深远影响。基于2008—2019年中国地级市面板数据,采用交叠DID方法探究中欧班列开通对我国城市绿色全要素生产率的影响及其作用机制。结果表明,中欧班列开通显著促进了我国节点城市的绿色全要素生产率,其影响存在通道、地区以及覆盖范围间的异质性,且中欧班列主要通过促进绿色创新、产业集聚以及缓解融资约束等提高节点城市的绿色全要素生产率。由此,需鼓励、支持和引导更多的中国城市成为中欧班列的节点城市,扩展国内节点城市辐射海外市场的范围。同时,节点城市应提升其绿色创新水平,完善相关的基础建设,营造良好的商业环境,吸引更多资本及高端产业,以助力其高质量发展。