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.

Cross-border Urban Networks Based on Manufacturing Global Value Chain:A Study of Listed Companies in Western China

Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study uses the social network analysis method,entropy method,multi-index comprehensive evaluation method,and quadratic assignment procedure analysis method to examine the characteristics and influencing factors of the urban networks of research and development(R&D),production,and sales formed as a result of the overseas investments of listed manufacturing companies in western China.Results showed that the three types of investment networks involved multiple industry types and multiple central cities with differentiated diversity and multicentrality.The R&D urban network’s leading sub-industries were the mechanical equipment and instruments,medicine and biological products,and metal and nonmetal industries.The destination cities were mostly those home to educational and scientific research centers.The production urban network’s leading sub-industries were the mechanical equipment,instrument,and food and beverage industries.The destination cities were mostly regional central cities in developing countries.The sales urban network’s leading sub-industries were the mechanical equipment and instrument,metal and nonmetal,and petrochemical and plastics industries.The destination cities were numerous and scattered.In addition,the R&D urban network easily formed specialized clusters,core nodes easily controlled the production urban network,and individual nodes did not easily control the sales urban network.Technological and economic system advantages greatly impacted the three network types.Considering the different influencing factors,this study suggests optimizing the institutional investment environment to narrow the institutional gap,adjusting and optimizing the investment layout to expand overseas markets,and increasing R&D funds to stimulate technological progress and overseas investments in western China.

Spatial-temporal Pattern Evolution of Manufacturing Geographical Agglomeration and Influencing Factors of Old Industrial Base:A Case of Jilin Province,China

The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.

A study on marine industry and environment of China: regarding Japan's experience

China is facing the challenge of many marine environment problems with rapid economic growth. Japan had experienced similar marine environmental pressure during its industrialization and had been facing the problem through successful environment policy step by step. The paper reviews the lessons and experiences of Japan’s marine environment protection and analyzes the marine environment pollution in China and its causes, taking Shandong province as a case, such as GDP-oriented economic growth, heavy coal assumption, etc. The paper also analyzes the marine industry with focuses on coastal tourism and its relationship with marine environment. Suggestions on polices are provided based on the analysis on China’ marine environment and Japan’s experience.

Carbon Emission Trends of Manufacturing and Influencing Factors in Jilin Province,China

This paper constructed a carbon emission identity based on five factors： industrial activity, industrial structure, energy inten- sity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index （LMDI） method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 ~ 107t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009-2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, hut industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward.

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China

As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms,cooperative innovation is now crucial for traditional industries in the context of globalization.This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries.Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City,China,this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns.Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding,while firms with inferior abilities usually cooperate with nearby fixed partners.Due to the differences in innovation environment and actor locations,firms tend to make different choices regarding innovation types and models,which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale.Additionally,talent flow is the most important way to realize relationships for firm innovation activity.

The Wolf Is Coming?——Multinationals's Entry and Effect on China's Manufacturing Industry

Nowadays,China has become the country that introduces the largest amount of foreign capital.Up to June 2008,the accumulative total number of foreign- invested enterprises in China is over 632 thousand:the total amount of actual use of foreign capital is over US$582 billion.There are over 400 multination- als of top 500 investing in China,30 of which set up regional headquarters。

Review of China's Hydropower Manufacturing Industry

China's hydropower equipment manufacturing technology has benef ited from the policy of reform and opening-up and the "Three Gorges Model." The latter means an approach of self-supply of hydropower equipment. Based on the foundations laid through independent research and development, by way of digesting, absorbing and innovating the technologies introduced from abroad for the Left Bank Station of the Three Gorges Hydropower Station, domestic suppliers independently designed and manufactured large hydropower units for the Right Bank Station of the Three Gorges and many other large hydropower stations in China.

Industrial Engineering Analysis of Chinese Manufacturing Industry in Transition Period Based on Grey Predictions

In order to explore the characteristics and development strategies of Chinese manufacturing production system, the grey forecasting model GM( 1,1) and the grey verhulst dynamic model were built firstly. The prediction results show that Chinese manufacturing productivity would reach $ 32 806 per person in 2018,which indicates rapid development and lays the foundation for China to become the world's manufacturing power since the reform and opening up. However, it is predicted that Chinese manufacturing productivity would peak in 2018 based on the grey verhulst dynamic model,which reveals the resource configuration mode of Chinese manufacturing system could not prop up its increasing manufacturing capability. Furthermore the main reasons of this phenomenon were explored,which could be summarized as the lack of accumulation,integration of industrial engineering( IE)and information technology( IT), promoting mechanism of IE application as well as integration model of management innovation and technology innovation,etc. Finally,a series of strategies based on IE theory to solve these problems were given. This study provides an effective way to deal with the challenges and opportunities facing the Chinese manufacturing industry,meanwhile,it may contribute to the theoretical system of IE.

家—企—国视野下中国当代产业工人身份认同的个案研究

产业工人是推动社会发展的重要力量,研究产业工人的身份认同能够推进产业工人队伍建设。通过对我国中部某省的制造企业工人进行个案研究发现,产业工人身份认同的变迁历程可划分为身份类化、身份挣扎、身份顺从和身份认同四个阶段。该个案研究表明,产业工人身份认同受到家—企—国的结构性因素影响:家庭背景是产业工人身份认同形成的基础之一,它通过记忆再现和传承引导、情感支持与价值观教育影响产业工人身份认同;国有企业改革过程中,企业配套机制薄弱影响产业工人职业发展空间,国有企业改革致使产业工人身份迷失,从而影响其身份认同;国家通过政策和法律为个体提供了身份认同的宏观背景,产业工人经历国有企业改制时期身份认同的“稳定与边缘”,以及国有企业改制后的身份认同的“无奈与重塑”。未来可从家庭、企业、国家三个层面协同构建适合产业工人队伍建设的同盟生态。

抗争与突破:民国时期辽宁电池工业探析(1918—1931)

在近代中国电池工业的发展历程中,辽宁的电池工业起步较早,并在国产干电池领域初步突破技术瓶颈。在辽宁本地的电池生产方面,以王秉乾创办的安东中华电气机械厂和张少亭兄弟创办的中国干电池制造工厂为代表的辽宁电池工业虽然规模弱小,但是发展势头良好。总体而言,民国时期辽宁电池工业是为打破外商垄断、重新夺回本地市场而产生的,符合近代中国工业“冲击—反应”发展模式。由于其规模弱小,并未形成与外资企业开展“商战”的能力,但折射出的国人不畏困难、勇于探索的奋进精神和不屈不挠、自强不息的抗争精神,时至今日仍然值得颂扬。

全球价值链重构下中国制造业分工地位测度及国际比较

全球价值链(GVC)重构背景下,如何明确中国制造业GVC分工地位的现实短板及动态变化,以在新一轮全球产业竞争中保持新的竞争优势。本文基于出口贸易增加值分解模型,利用OECD-ICIO数据库(2023)数据,测度了2000—2020年中国制造业整体及分行业的GVC地位,并进行了国际比较。研究发现:(1)虽然中国制造业出口结构在优化,在GVC中的地位有所上移,但仍无法扭转分工地位相对较低的局面。(2)中国制造业当前正处于GVC分工地位提升的阵痛期,劳动力的绝对低廉和技术的绝对高度均无优势。(3)从国际比较视角来看,无论是在金砖国家还是G7国家之间,中国制造业尚未摆脱“低端锁定”的困境,GVC分工地位仍存在较大的提升空间。因此,中国应重点关注与优势国家的发展差距,充分利用国内市场和内需优势,加大对“卡脖子”技术攻关的力度,找准提升GVC分工地位的路径。

RCEP协定下中日韩贸易竞争性与互补性分析

本文采用RCA、GL、ES和TI指数对比分析了RCEP三个工业成员国中日韩的贸易竞争性和互补性。分析结果表明,中日韩三国之间的贸易关系日益紧密,但三国之间的贸易互补性逐渐走弱、竞争性日益增强。本文提出在RCEP框架下进一步发展中日韩三国经贸关系的建议。

网络基础设施建设对包容性绿色增长的影响——基于“宽带中国”战略的准自然实验

推动包容性绿色增长是解决我国低碳发展目标与经济增长矛盾的重要途径。本文基于2010~2022年我国地级市层面数据,利用熵权TOPSIS法从多个维度测算了289个地级市的包容性绿色增长水平,采用多期双重差分模型探究网络基础设施建设对包容性绿色增长的影响及传导机制。研究结果表明:(1)网络基础设施建设能够有效促进包容性绿色增长水平的提升;(2)网络基础设施建设对于非资源型城市包容性绿色增长效应显著高于资源型城市;(3)网络基础设施建设能够通过提高制造业集聚水平、促进产业结构升级、鼓励技术创新进一步提升包容性绿色增长水平。本文在进一步完善包容性绿色增长的现有分析框架基础上,为政府推进“宽带中国”战略实施、缩小区域发展差距以及促进经济高质量发展提供政策启示。

中国-东盟自贸区(CAFTA)升级下基于研发密度的中国与东盟制造业投入和产出服务化水平研究

为深化“中国-东盟自贸区3.0版”升级下中国与东盟的产业合作,梳理评估双方制造业服务化的现状和差异,比较各自的优势和劣势,采用服务化水平指数,基于亚洲开发银行2008—2020年的数据,从不同研发密度分析中国与东盟的制造业服务化水平,指出在低水平、中低水平、中高水平和高水平4种技术类型的制造业中,中国的投入和产出服务化水平均远超东盟整体,且双方差距在增大,但从国别来看具有较明显的异质性:投入服务化水平方面,低技术制造业上中国与泰国等水平相当,中低技术制造业上新加坡等国赶超中国,高技术制造业上泰国表现最为突出;产出服务化水平方面,中国均处于中等水平,且在中低技术和高技术制造业上低于不少东盟国家。基于上述分析,针对中国4种技术类型制造业的投入和产出服务化水平的提高分别提出相关政策建议,强调要学习东盟国家在服务业国际化方面的经验,培养更具国际竞争力的服务业企业。

RCEP视域下中国与东盟双边贸易发展潜力探析

对外贸易一直是推动中国经济增长的重要驱动力,尤其是在全球经济一体化的挑战中表现尤为突出。在贸易摩擦频发、多边贸易受阻的背景下,双边贸易的重要性日益凸显。我国与东盟国家的双边贸易潜力巨大,为我国对外贸易开辟了更加广阔的发展空间。在当前国际形势下,挖掘与东盟的双边贸易潜力对我国经济的平稳运行和健康发展具有深远意义。本文结合国际经济与贸易学、计量经济学等多学科理论,通过多角度分析,深入探讨了两国间贸易的发展趋势。文章认为我国对外贸易发展过程中应充分发挥与东盟双边贸易的比较优势,基于双方良好的贸易历史和经济基础,共同商讨、互相协作,以推动中国制造业的转型与升级,进一步促进中国外贸的良性发展,为我国经济的平稳、健康发展注入新的活力。

RCEP全面生效背景下中日经贸关系回顾与展望

目前《区域全面经济伙伴关系协定》已全面生效,有利于共同维护和强化以规则为基础的多边贸易体制,也将促进中日经贸关系的深化发展。中日围绕稳定宏观经济大局、以科技创新引领经济发展、以绿色转型促进人与自然和谐共生、积极应对人口老龄化、推动更加普惠包容的全球发展等方面有很多共同议题,双方经贸合作也将在RCEP大框架下实现新突破。期待两国抓住机遇、相向而行,以《中日和平友好条约》缔结45周年为里程碑和新起点,继续深化务实合作,合力构建契合新时代要求的建设性、稳定的中日经贸关系。

数字经济、营商环境与西部地区制造业服务化

本文基于2001—2020年西部12个省份面板数据,对数字经济、营商环境与西部地区制造业服务化水平之间的影响关系开展实证研究。研究发现,数字经济可以显著促进西部地区制造业服务化升级,并且数字经济能通过“提高政府财政分权程度”促进西部地区制造业服务化升级,异质性结果显示其政府财政分权越高,此中介效应越明显。同时,数字经济还能通过“刺激非国有经济发展”提高西部地区制造业服务化水平,但市场化进程的中介效应未能充分体现;异质性检验表明,与西北地区相比,数字经济对西南地区制造业服务化的促进作用更明显。上述发现为深入理解数字经济与西部地区制造业服务化之间关系,并在此基础上完善西部地区相关数字经济发展政策,促进西部地区经济协调高质量发展提供了新的视角和经验证据。

广东省制造业绿色转型影响因素及升级路径研究

制造业作为中国经济的重要支柱,其绿色转型是制造业高质量发展的必经之路。文章基于广东省2012—2021年数据,以制造业绿色转型率为因变量,数字化水平、绿色创新技术等6个为自变量对影响广东省制造业绿色转型因素进行实证分析,继而研究广东省制造业绿色转型升级的可行路径。研究表明,数字水平、绿色创新技术、环境规制、人才支撑、政府支持、地区经济水平6个因素对制造业绿色转型具有促进作用,其中人才支撑的作用最大,最小的是政府支持;根据影响因素的总结,本文提出建议制造业绿色转型的4条路径,分别是加大科技创新投入,培养绿色制造业示范型企业,政府加大对绿色投资的支持,推动数字化的发展,仅供参考。