Research Progress and Prospects of Total Factor Productivity in the Construction Industry

The high-quality development of the construction industry fundamentally stems from the significant improvement of total factor productivity.Therefore,it is of crucial significance for promoting the development of the construction industry to a higher level by scientifically and accurately measuring the total factor productivity of the construction industry and deeply analyzing the influencing factors behind it.Based on a comprehensive consideration of research methods and influencing factors,this paper systematically reviews the existing relevant literature on total factor productivity in the construction industry,aiming to reveal the current research development trend in this field and point out potential problems.This effort aims to provide a solid theoretical foundation and valuable reference for further in-depth research,and jointly promote the continuous progress and development of total factor productivity research in the construction industry.

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.

The Impact of the Establishment of National High-tech Zones on Total Factor Productivity of Chinese Enterprises

The National High-tech Zone(NHTZs)is an important strategic platform for cultivating high-tech industries and realizing high-quality economic development in China.Based on the combined data from 2006 to 2014 of the industrial enterprise database,the customs database,and the China Development Zones Audit and Announcement Catalogue(abbreviated asthe Catalogue),this paper systematically investigates the influence of the construction of NHTZs on enterprise’s total factor productivity(TFP).Results show that NHTZs have a positive impact on the TFP of enterprises in the zone,and this conclusion is still valid after considering endogeneity problems.Furthermore,the above productivity effects of NHTZs are heterogeneous in terms of enterprise ownership,external environment and establishment time,and NHTZs have greater stimulation effects on enterprise productivity after comparing with other types of functional zones.An investigation of the specific mechanisms at play shows that NHTZs promote the TFP of enterprises in the zone through the release of preferential policies,strengthening the“technology spillover effects”of imported intermediate goods,enhancing enterprise’s innovation ability and attracting talent.In addition,based on the decomposition of industry productivity,this paper also investigates the impact of NHTZs on changes in industry productivity and finds that NHTZs promote the overall productivity of specific industries mainly by stimulating the productivity improvement of incumbent enterprises and expanding the market share of high-productivity enterprises.Moreover,the preferential policies of NHTZs do not significantly stimulate high-productivity enterprises to enter the zones,nor do they cause low-productivity enterprises to exit.This research is helpful in objectively evaluating the economic effects of the NHTZs in China and in providing a theoretical basis for its further adjustment.

Changes in Total Factor Productivity,Technological Progress and Efficiency of Banana Industry in China

Based on the DEA-based Malmquist index method,the total factor productivity was calculated for 5 major banana production areas in 2003-2004,and it was further divided into technological progress and technical efficiency.The results show that the total factor productivity of banana industry in China was 1.3% in the sample period,mainly due to technological progress,the average growth rate was 2.6%,while the pure technical efficiency and scale efficiency was -0.1% and -1.2% respectively.The improvement of total factor productivity in banana industry in China relied mainly on technological progress,cultivation of new banana varieties,management of high quality cultivation,popularization and application of water conservation and fertilizer saving technology,and injury-free picking technologies.The pure technical efficiency and scale efficiency of banana production were negative,indicating that the management level of banana was not high.The effect of scale economy of this industry through agglomeration and consolidation is still to be practiced.Banana growers should promote the improvement of large scale and management level of the banana industry at the same time of promoting the technological progress.

The Impact of Digital Economy on Total Factor Productivity of China’s Service Industry

As a kind of integrated economy,digital economy has an important impact on the economic growth and production and lifestyle of multiple countries and regions,and plays a significant role in promoting the reconstruction of the international economic pattern.As an important industry of China’s national economy,the service industry is crucial to China’s economic growth.This paper measures the development level of digital economy in provinces and cities through constructing digital economy index system,uses super efficiency SBM-Malmquist model to measure total factor productivity of service industry,and tests the influence effect of digital economy on total factor productivity of Chinese service industry.Finally,the optimization path of digital economy on China’s service industry is proposed.

服务业进出口、OFDI和全要素生产率的动态关系研究——基于VAR模型的实证分析

研究服务业贸易、投资与服务业之间的影响关系,对提升我国服务行业国际竞争力、促进其高质量发展具有重要意义。论文使用我国2000—2021年数据,构建VAR模型对服务业进出口、服务业对外直接投资(OFDI)和全要素生产率的动态交互关系进行实证分析。研究结果显示,服务业进出口对服务业对外直接投资具有正相关关系,且长期支持效果明显;服务业进出口对OFDI、全要素生产率提升具有促进作用;在短期内,全要素生产率与OFDI之间存在双向促进作用,从长期来看则存在一定负向影响。基于实证研究结论,文中提出制定政策鼓励服务企业参与国际化竞争、发挥服务业进出口对OFDI的促进效应、提升服务企业自主创新能力等相关对策建议。

Research on the Industrial Transfer and Restructuring Path of the Energy-Intensive Manufacturing Industry in Western China

The orderly transfer of the manufacturing industry is a major action in China’s industrial restructuring.From the perspective of industrial transfer,we used the concentration ratio to depict the trend of the industrial transfer of energy-intensive manufacturing in the eastern,central,and western regions since the policy of large-scale development of western China was implemented.We measured the total factor productivity(TFP)of western China using the DEAMalmquist index method.We conducted a regression analysis to measure the effect of western China’s undertaking of the transfer of the energy-intensive manufacturing industry.The findings of this study show that during 2000–2019,eleven provinces(as well as autonomous regions and municipalities)in western China undertook the transfer of the energy-intensive manufacturing industry from the eastern and central regions to varying degrees,exhibiting significant phase features regarding the rate and scale of transfers.Further investigation also demonstrated that the transfer of energy-intensive manufacturing industries has a U-shaped enabling effect on TFP in western China with the scale effect greater than the technology effect.Therefore,it is necessary to transition from“extensive industrial transfer”at the cost of the labor force,land,and resources to“modern industrial transfer”featured by technology and efficiency improvements to contribute to industrial restructuring in western China effectively.

Carbon productivity convergence club and its initial conditions: China's construction industry

A three-stage method is proposed to study the convergence clubs for the dynamic total factor carbon productivity (DCP) and the initial conditions. The first stage is to measure the DCP that reflects the initial difference. The second stage is to identify the convergence club of DCP. The last stage is to examine the initial factors that may affect the formation of the convergence club. Construction industry data from 30 provinces in China's Mainland from 2005 to 2016 were adopted to conduct an empirical study. The empirical results showed that (1) the arithmetic mean value of China’s provincial DCP showed an upward trend and the standard deviation showed an expanding trend.(2) There are five convergence clubs, but 13 provinces failed to converge to any club.(3) The higher the degree of construction industry marketization in 2005, the greater the probability that the provinces belong to a club with higher DCP. To improve the DCP, the effective diffusion of low-carbon construction technologies and the market-oriented reform of state-owned construction companies should be promoted. The three-stage method can also be applied to study different industries in different countries or regions.

数据要素与新质生产力:基于企业全要素生产率视角

新质生产力以全要素生产率提升为标志、核心是创新,数据要素对于提升创新水平与全要素生产率具有重要意义。本文将国家级大数据综合试验区试点作为一次准自然实验,基于我国2009—2021年制造业和服务业上市公司面板数据,利用双重差分模型识别数据要素影响企业全要素生产率的因果效应与作用机制。研究发现:数据要素显著提升了企业全要素生产率,且对服务业企业全要素生产率的影响大于制造业企业;经过一系列稳健性检验后上述结论依然成立。机制分析结果表明,数据要素主要通过数字化变革和创新对企业全要素生产率产生间接影响。调节效应表明,产业融合与数据要素会共同发挥作用、提升企业全要素生产率,且在中、高产业融合区域的作用效果没有显著差异,在低产业融合区域的效果不显著。

智能化转型、组织韧性与制造业企业高质量发展

新时期制造业企业高质量发展是推动制造强国建设的重要战略环节。智能化技术与制造业的深度融合,将成为制造业企业转型升级、创新发展的历史机遇。以2012—2022沪深A股制造业企业为样本,从制造业企业智能化转型出发,探讨其对企业组织韧性和企业高质量发展的影响机制,在对三者进行量化测算的基础上进行固定效应、中介效应、异质性等实证检验。研究发现:智能化转型能够显著提升制造业企业组织韧性,并带动企业全要素生产率的提升,实现制造业企业高质量发展。经实证检验,该结论稳健。同时,智能化转型对组织韧性的提升存在地区市场化程度、企业生命周期、资本密集度、股权性质的异质性。基于此,本文从宏观层面出发,提出了政府加强顶层设计,为制造业企业的数智化转型提供配套支持及企业发挥主体作用,积极推进全过程全生命周期的智能化转型的共性建议,从中观层面出发,提出了企业可通过建立稳健的财务策略,识别并规避各种风险、优化生产流程,提高生产效率,加强供应链条稳健性建设和企业文化建设等措施提升组织韧性,以应对环境不确定性日益加剧的风险。并从微观层面建议不同性质的制造业企业应依据不同特点合理审慎做出智能化转型的战略选择,以优化资源配置效率,提高市场竞争力、加大在智能化技术和设备方面的投入,赋能价值链共生共赢,支撑企业实现韧性增长。为制造业智能化转型推动产业韧性水平、实现制造业高质量发展提供理论和现实借鉴。

数字普惠金融如何赋能乡村产业振兴

厘清数字普惠金融发展赋能乡村产业振兴的作用机制,有助于缓解农村金融资源配置效率不高、金融基础设施不完善和金融服务体系薄弱与日益增长的乡村产业发展需求之间的矛盾。现有文献对数字普惠金融与农村经济现代化做了较为丰富的研究,但是鲜有将其与乡村产业振兴联系起来进行理论与实证的研究。本文从乡村产业生产、乡村产业延伸、乡村产业功能和乡村产业支撑四个维度构建我国乡村产业振兴水平评价指标体系,并多维度实证检验了数字普惠金融对乡村产业振兴的影响。主要有三点发现:一是数字普惠金融发展对乡村产业振兴水平和乡村产业振兴速度均具有显著的正向促进作用;二是数字普惠金融发展覆盖广度、使用深度和数字化程度对乡村产业振兴的边际效应呈现明显差异;三是数字普惠金融不仅可以直接缓解经营主体约束和激活市场活力促进乡村产业振兴,还可以通过农业科技创新、乡村产业融合和农业全要素生产率间接影响乡村产业振兴。

战略差异度、技术创新与企业全要素生产率——来自A股上市公司的经验证据

战略差异度对企业的影响是学术界关注的重要问题,而企业能否通过加大战略差异度进而提升全要素生产率为研究企业战略决策方面提供了不同的切入点。采用2009-2020年沪深A股上市公司的数据样本,实证检验了战略差异度对企业全要素生产率的影响。研究结果表明,战略差异度对企业全要素生产率起到显著的正向作用,技术创新在战略差异度影响企业全要素生产率的传导路径上存在中介效应。进一步研究发现,高行业竞争水平、高信息透明度和低融资约束企业的战略差异度越大对全要素生产率的正向作用越显著。研究丰富了全要素生产率的相关文献,并为其提供了研究的新视角。同时有助于企业利益相关者理解战略决策的经济后果,对指导和促进企业进行战略变革及获取竞争优势提供理论参考。

数字化转型对企业全要素生产率的影响——基于产业链关联视角

文章选取上市公司年报以及投入产出表的相关数据,通过面板数据模型考察数字化转型对企业全要素生产率的影响效应及其作用机制。结果表明:数字化转型能够提升企业全要素生产率,并且在缓解内生性问题和进行一系列稳健性检验后结论依然成立;数字化转型能够通过前向关联、后向关联两种渠道来增强产业链关联的创新效应和结构效应,进而促进企业全要素生产率增长;数字化转型对企业全要素生产率增长的促进作用存在行业异质性,在劳动密集型和竞争性行业的作用效果更为明显。

数字经济时代加快发展新质生产力

加快形成新质生产力是构建新发展格局、推动高质量发展的重要动力,是实现中国式现代化的关键。数字经济带来新的经济增长方式,为新质生产力赋予新的内涵,为加快形成新质生产力提供新的路径。新质生产力是数字经济时代的生产力。数字经济革命性和颠覆性创新能够促进全要素生产率水平提升,有助于实现劳动者、劳动资料、劳动对象及其优化组合的跃升,推动现代化产业体系建设。加快发展数字经济时代新质生产力需要加大数字经济建设投入、优化现代产业链供应链、推进数字产业化与产业数字化、发展培育新兴产业与未来产业、开展“人工智能+”行动以及培养数字劳动力。

“两业”融合与先进制造业全要素生产率

现代服务业和先进制造业深度融合是中国参与大国博弈与产业竞争的重要抓手,是实现先进制造业高质量发展的重要途径。基于2003—2021年沪深A股上市公司数据,实证检验“两业”融合对先进制造业全要素生产率(TFP)的影响。实证结果表明:“两业”融合显著提升了先进制造业TFP。异质性分析表明,“两业”融合对先进制造业TFP的影响在国有企业及大型企业中更为显著,分行业来看,专用设备制造业以及计算机、通信和其他电子设备制造业与现代服务业融合之后,能够显著提升行业TFP。机制检验发现,“两业”融合主要通过改进技术创新、缓解融资约束、优化资源配置等渠道对先进制造业TFP起到促进作用。据此提出引导先进制造业与现代服务业深度融合、积极发展数字经济和现代服务业、鼓励企业之间协同创新以及减弱要素流动壁垒等政策建议。

增值税减税能否提高制造业企业全要素生产率?--基于增值税税率下调事件的经验研究

深化税制改革是激发市场主体活力、加快制造业转型、实现经济高质量发展的重要路径。基于2016—2020年中国沪深A股上市公司数据,研究了2018年和2019年增值税税率下调对制造业企业全要素生产率的影响。研究发现,增值税减税提高了制造业企业的全要素生产率。异质性分析结果显示,对于市场竞争地位高、国有产权、处于成熟期以及高市场化地区的企业而言,增值税减税对全要素生产率的提升效应显著。渠道分析表明,研发投入、人力资本投入以及资本配置效率是增值税减税影响企业全要素生产率的主要渠道。因此,政府部门应继续深化增值税改革,缩小制造业与其他行业的税率差异,切实减轻制造业企业税收负担,同时应加大对民营、初创等弱势企业的财政扶持力度,全面提高各类企业的全要素生产率。

技术进步、反鲍莫尔成本病与制造业占比

根据鲍莫尔的非均衡增长理论,技术进步会导致服务业占比上升,制造业占比下降,这就使得我国既要坚持创新驱动,又要保持制造业占比基本稳定面临理论上的悖论。本文立足我国服务业全要素生产率增速已经高于制造业全要素生产率增速的新变化,指出我国存在着反鲍莫尔成本病现象,即制造业领域而不是服务业领域存在鲍莫尔成本病,这修正了鲍莫尔理论模型,从技术进步角度找到了我国制造业占比下降的根本原因,为创新驱动和保持制造业占比基本稳定同步实现提出了逻辑一致的理论解释。此外,论文借助WIOD数据库2000—2014年17个制造业细分行业数据进行实证研究,结果显示,2011年起制造业TFP增速每提高1%,制造业占比将提高2.3%,TFP水平提升会增强制造业国际竞争力。

数字金融如何赋能文化企业全要素生产率?——来自中国文化上市企业的证据

基于2011—2021年我国文化上市企业面板数据,实证探究数字金融发展对文化企业全要素生产率的影响及其作用路径。结果表明:数字金融发展可以显著提升文化上市企业的全要素生产率,且这种促进作用可以通过驱动技术创新、缓解融资约束以及提高资源配置效率来实现;此外,数字金融还因企业基本特征、信息披露质量以及市场竞争程度而表现出差异化影响。因此,要加快推进数字金融发展,充分发挥数字金融的价值发现功能和技术服务优势,为新发展阶段推进文化产业高质量发展,不断提升中国特色社会主义文化整体实力和竞争力注入新的动能。

物流业和制造业融合发展对全要素生产率的影响

基于2006—2020年的省际面板数据,使用耦合协调度模型测算我国物流业和制造业的融合发展水平。研究发现:我国各省份物流业和制造业融合发展度逐步上升,总体上处于低水平向高水平过渡的协调阶段。(1)省际之间物流业与制造业融合水平存在差异,其中浙江、江苏、山东和广东的融合发展水平最高,中部和西部省份融合发展水平提高较快,吉林、黑龙江和辽宁三省则有退步。(2)使用固定效应模型检验两业融合发展对全要素生产率的影响,发现两业融合发展度的提高能够促进区域全要素生产率的提升,该结论在利用IV-GMM和IV-LIML等模型估计下依旧显著。(3)两业融合发展度的提高一方面可以推动全要素生产率边界的扩大,另一方面有利于实际效率趋近最优效率。