Growth and Change最新文献_第2页

Growth of Green Total Factor Productivity in China: “Structural Dividend” or “Reform Dividend”? 中国绿色全要素生产率的增长："结构红利 "还是 "改革红利"？

IF 2.9 3区经济学

Growth and Change Pub Date : 2024-09-05 DOI: 10.1111/grow.12736

Wenxing Jia, Shengnan Wu, Yang Yang, Xueliang Zhang

{"title":"Growth of Green Total Factor Productivity in China: “Structural Dividend” or “Reform Dividend”?","authors":"Wenxing Jia, Shengnan Wu, Yang Yang, Xueliang Zhang","doi":"10.1111/grow.12736","DOIUrl":"https://doi.org/10.1111/grow.12736","url":null,"abstract":"<div>\u0000 \u0000 It is critical for promoting high-quality economic development to improve green total factor productivity (GTFP). The “structural dividend” released by the optimization of economic structure and the “reform dividend” brought by market-oriented reform are the two ways to improve GTFP. This paper empirically examines the impact of economic structural changes and marketization progress on GTFP with the spatial dynamic panel model based on the provincial data from 2001 to 2019 in China. The findings are as follows. (1) GTFP is characterized by significant spatial clustering and spatial positive correlation in China. (2) The optimization of economic structure and the improvement of marketization both have significant positive contributions to the improvement of GTFP. (3) The results of effect decomposition show that the optimization of economic structure has a long-term effect on the increase of local GTFP, but only a short-term effect on the surrounding areas. However, the improvement of marketization has a stable short-term and long-term impact on the improvement of local GTFP, while the impact on the surrounding areas is only reflected in the long-term. The results of heterogeneity analysis indicate that the impact of economic structure optimization and market-oriented reform on GTFP is different in different periods and regions, and the corresponding effect decomposition results are also different. Therefore, this paper suggests that it is necessary to optimize the economic structure further and promote market-oriented reforms to release the structural dividends and reform dividends to achieve GTFP growth.\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142152212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Do high housing prices inhibit entrepreneurial activity?—Evidence from Yangtze River Delta cities, China 高房价是否抑制了创业活动？

IF 2.9 3区经济学

Growth and Change Pub Date : 2024-08-09 DOI: 10.1111/grow.12735

Zhang Juanfeng, Lin Yupiaopiao, Han Rui, Li Lele, Zeng Hui

引用次数: 0

The higher-ranking local officials and local economic growth: Evidence from China 地方高官与地方经济增长：来自中国的证据

IF 2.9 3区经济学

Growth and Change Pub Date : 2024-07-19 DOI: 10.1111/grow.12731

Yuan Li, Chuanjiang Yu, Yue Luo, Xinju He

引用次数: 0

The impact of regional integration on PM2.5 concentrations—Quasi-natural experimental evidence from city economic coordination committee 区域一体化对 PM2.5 浓度的影响--来自城市经济协调委员会的准自然实验证据

IF 2.9 3区经济学

Growth and Change Pub Date : 2024-07-19 DOI: 10.1111/grow.12732

Sijia Li, Lihua Wu

{"title":"The impact of regional integration on PM2.5 concentrations—Quasi-natural experimental evidence from city economic coordination committee","authors":"Sijia Li, Lihua Wu","doi":"10.1111/grow.12732","DOIUrl":"https://doi.org/10.1111/grow.12732","url":null,"abstract":"It is of great significance to explore the causality between regional integration (RI) and PM2.5 pollution within urban agglomerations in the current pursuit of ecological civilization construction and high-quality development. Using panel data of 285 prefecture-level cities in China from 2003 to 2016, this study considers the expansion of the city economic coordination committee in Yangtze River Delta (YRDECC) as a quasi-natural experiment of RI, and use a difference-in difference method to explore the effect and inner mechanisms of RI on PM2.5 concentration. After a descriptive analysis of the spatial-temporal variation trend of the PM2.5 concentration in the Yangtze River Delta urban agglomeration, the empirical results show that RI helps to alleviate 4.8% of the PM2.5 concentration overall. For the original cities, the reduction effect on the PM2.5 concentration is 5.2%, for the new cities, however, RI exacerbates 2.1% of the local PM2.5 concentration. A series of robustness tests confirm the validity of the baseline results, and further indicate that the effect of RI remains significant in the long term and starts to increase from the third year. Furthermore, the reduction effect of RI on PM2.5 concentration is more pronounced in cities with larger scales, more developed economies, and higher degrees of marketization. The mechanism analysis shows that industrial transfer, population migration and technological innovation are significant channels of RI that affect PM2.5 concentrations. The conclusions of this paper provide a new path to alleviate PM2.5 pollution and achieve ecological conservation and high-quality development in the city cluster area.","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 3","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141730265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of tourism on socio-economic well-being and its inter-regional convergence: Evidence from China's 291 cities 旅游业对社会经济福祉的影响及其区域间趋同：来自中国 291 个城市的证据

IF 2.9 3区经济学

Growth and Change Pub Date : 2024-07-18 DOI: 10.1111/grow.12734

Fubiao Zhu, Xiaona Cao, Delin Zhuang, Shengwu Jin, Xueting Yang

{"title":"Effects of tourism on socio-economic well-being and its inter-regional convergence: Evidence from China's 291 cities","authors":"Fubiao Zhu, Xiaona Cao, Delin Zhuang, Shengwu Jin, Xueting Yang","doi":"10.1111/grow.12734","DOIUrl":"https://doi.org/10.1111/grow.12734","url":null,"abstract":"Big socio-economic well-being gap is common across countries and regions. This study examines the impact of tourism on socio-economic well-being and its convergence from a comprehensive and inter-regional convergence perspective. Using panel data of 291 cities during the period 2005–2019, we provide the comprehensive evaluation of socio-economic well-being at the city scale in China. Considering the dynamic characteristics of socio-economic well-being, we therefore estimate the impact using the system generalized method of moments. The result indicates that tourism significantly enhances local socio-economic well-being and is found to be robust. We also find the dominance of domestic tourism, the positive moderator effects of general budget expenditure, GDP per capita and urbanization, and a greater driving force in cities with higher socio-economic well-being. Since both β- and σ-convergence hold, we confirm the positive effect of tourism on the convergence of inter-regional socio-economic well-being. We emphasize policies support for tourism development in underdeveloped regions through fiscal expenditure, financial transfer payments, intellectual support, urbanization, and infrastructure construction. We suggest incorporating tourism into frameworks such as rural revitalization and regional coordinated development. We also recommend accelerating the expansion of tourism in underdeveloped regions and enhancing the quality of tourism in developed regions as spatial strategies, while emphasizing inter-regional tourism coordination and cooperation.","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 3","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141730142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovation and wage inequalities: Evidence from Brazilian regions 创新与工资不平等：巴西各地区的证据

IF 2.9 3区经济学

Growth and Change Pub Date : 2024-07-17 DOI: 10.1111/grow.12733

Bianca Villamarim de Oliveira, Eduardo Gonçalves, Juliana Gonçalves Taveira

引用次数: 0

Using big data to study small places: Small-town voting patterns in the 2020 U.S. presidential election 用大数据研究小地方：2020 年美国总统大选中的小镇投票模式

IF 3.2 3区经济学

Growth and Change Pub Date : 2024-06-06 DOI: 10.1111/grow.12730

Jennifer Mapes

引用次数: 0

Cluster heterogeneity and efficiency of innovation network—Evidence from Shanghai and Taizhou in China 集群异质性与创新网络效率--来自中国上海和台州的证据

IF 3.2 3区经济学

Growth and Change Pub Date : 2024-06-04 DOI: 10.1111/grow.12729

Guodong Yan, Lin Zou

{"title":"Cluster heterogeneity and efficiency of innovation network—Evidence from Shanghai and Taizhou in China","authors":"Guodong Yan, Lin Zou","doi":"10.1111/grow.12729","DOIUrl":"https://doi.org/10.1111/grow.12729","url":null,"abstract":"There are debates about cluster heterogeneity, network structures, and innovations. The difference in the degree to which firms joined in the internal and external networks of heterogeneous clusters can affect innovation performance. There is still a lack of empirical evidence on how networks or spatial factors can differentially affect innovation efficiency due to cluster heterogeneity. China has endogenous clusters formed by small and medium-sized firms and numerous clusters mainly based on government planning instrument, such as industrial zones and high-tech parks. There are controversies over these planned cluster, such as insufficient firm connections and weak innovation effectiveness.Cluster innovation is a complex socio-economic process that combines endogenous context, exogenous factors and interacts with multi-spatial relationships. This perspective may explain the differences in which heterogeneous clusters improve efficiency. This paper draws on first-hand data obtained from 188 questionnaires. The Lingang Equipment Manufacturing Cluster in Shanghai and the Taizhou Machine Tool Manufacturing Cluster in Zhejiang serve as examples of heterogeneous clusters. We combine the cluster's endogenous and exogenous characteristics, network size and strength of network ties, and local and non-local innovation spaces to discuss the impact on innovation efficiency. Expecting to provide a reference for improving the innovation efficiency of heterogeneous clusters in developing economies. The results suggest that regardless of local or non-local scales, exogenous clusters have a more pronounced effect of local network size and non-local tie strength on innovation performance based on demand for proximity to customers and suppliers.","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141251268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State-led urbanization and technological innovation: A quasi-natural experiment from county-to-district conversion in China 国家主导的城市化与技术创新：中国县改区的准自然实验

IF 3.2 3区经济学

Growth and Change Pub Date : 2024-06-01 DOI: 10.1111/grow.12728

Chong Wang, Lei Wang

{"title":"State-led urbanization and technological innovation: A quasi-natural experiment from county-to-district conversion in China","authors":"Chong Wang, Lei Wang","doi":"10.1111/grow.12728","DOIUrl":"https://doi.org/10.1111/grow.12728","url":null,"abstract":"Different from the market-led urbanization in western countries, China's urbanization process has the characteristics of being state-led, in which county-to-district conversion (CTDC) policy plays a key role in promoting urbanization. Our study uses the data of 279 cities as a simple to explore the effect of the state-led urbanization of CTDC on technological innovation. We find that CTDC significantly promote innovation, and this promoting effect is enhanced with the improvement of urban innovation ability. The mechanism test shows that financial expenditure on education and science, population agglomeration, information and communication technology industry are three channels for CTDC to boost technological innovation. We also find that this promotion effect is more obvious in eastern cities and the cities with higher administrative hierarchy, and is weakest in western cities, however, CTDC adjustment in northeastern cities significantly inhibited technological innovation. Further research shows that when the distance between merged county and city administrative center within 20 km, the effect is negative, after the distance is more than 20 km, with the increase of distance, the promoting effect of CTDC increases.","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 2","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Industrial collaborative agglomeration and green economic efficiency—Based on the intermediary effect of technical change 产业协同集聚与绿色经济效率--基于技术变革的中介效应

IF 3.2 3区经济学

Growth and Change Pub Date : 2024-06-01 DOI: 10.1111/grow.12727

Haichao Yu, Shangze Dai, Haiqian Ke

{"title":"Industrial collaborative agglomeration and green economic efficiency—Based on the intermediary effect of technical change","authors":"Haichao Yu, Shangze Dai, Haiqian Ke","doi":"10.1111/grow.12727","DOIUrl":"https://doi.org/10.1111/grow.12727","url":null,"abstract":"Industry upgrading and structure transformation are important methods for the green and sustainable development. This paper utilizes urban panel data from China spanning the years 2009–2022 to investigate the impact of manufacturing and producer services collaborative agglomeration on green economy efficiency. Additionally, it examines the mediating effect of three modes of technical change: domestic technological stock, international technology transfer, and innovation absorptive capacity. The key findings are summarized as follows: (1) The impact of Industrial collaborative agglomeration (ICA) on green economy efficiency follows a U-shaped curve relationship, when the degree of ICA is below the inflection point (1.4022), it negatively affects green economy efficiency. However, when the degree surpasses that point, it demonstrates a positive impact. (2) Domestic technological stock and international technology transfer act as mediating variables between ICA and green economy efficiency. Advancements in domestic technology innovation and increased international technology transfer contribute to a positive effect of ICA on green economic efficiency.","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 2","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0