1. bookAHEAD OF PRINT
Detalles de la revista
License
Formato
Revista
eISSN
2444-8656
Primera edición
01 Jan 2016
Calendario de la edición
2 veces al año
Idiomas
Inglés
Acceso abierto

An empirical research on economic growth from industrial structure optimisation in the Three Gorges Reservoir area

Publicado en línea: 12 Dec 2022
Volumen & Edición: AHEAD OF PRINT
Páginas: -
Recibido: 15 Apr 2022
Aceptado: 19 Nov 2022
Detalles de la revista
License
Formato
Revista
eISSN
2444-8656
Primera edición
01 Jan 2016
Calendario de la edición
2 veces al año
Idiomas
Inglés
Introduction

As the world's second largest economy, China's total economic volume exceeded 100 trillion RMB in 2020. China has made important contributions to the world's economic development. Industrial structure research is an important content and core manifestation of industrial economics research. It not only connects macroeconomics but also involves microeconomics, and is a mesoscopic manifestation in economic research. Economic growth (EG) and industrial structure optimisation (ISO) are interdependent and interact with each other. Industrial structure adjustment and optimisation promote EG, and the process of EG is accompanied by continuous optimisation and upgrading of the industrial structure.

The Three Gorges Reservoir region is an area submerged due to the construction of the Three Gorges Project in the Yangtze River Basin, where there are 20 administrative regions with resettlement tasks, including 16 in Chongqing Municipality and 4 in Hubei Province. The Three Gorges Reservoir area is located in the middle and upper reaches of the Yangtze River Economic Belt. It is an important ecological barrier in the lower reaches of the Yangtze River Economic Belt. It has strategic importance of position in the construction of the Yangtze River Economic Belt and the western development. In recent years, with the continuous investment of the state in the Three Gorges Reservoir area and continuous deepening of the western development, the strategy of the Yangtze River Economic Belt as well as the Belt and Road Initiative had been continuously promoted. The economic development of the Three Gorges Reservoir area has achieved remarkable results, especially in several areas located at the end of the reservoir. The county has developed rapidly, and its gross domestic product (GDP) growth rate has always been at the forefront in the country. However, there are obvious regional differences and imbalances in the EG of the reservoir area. In order to truly reflect the EG and industrial structure characteristics as well as the typicality of the data, the Three Gorges Reservoir area studied in this paper specifically refers to eight key reservoir areas in Chongqing, including Wanzhou District, Fuling District, and Fengdu County, Zhongxian County, Kaizhou District, Yunyang County, Fengjie County and Wushan County. The national strategy is to allow immigrants to get rich and safe; among them is the vast majority of the 1 million more immigrants relocated to the above-mentioned eight districts and counties. The Chongqing area in the Three Gorges Reservoir area is a typical economic valley area in the Yangtze River Basin, with a weak industrial system foundation and a relatively low level of industrial structure. Research on the industrial structure of the Three Gorges key reservoir area has found the connotation of ISO that promotes EG, and the ISO path suitable for the EG of the key reservoir area. This has important practical significance for reducing the imbalance in regional economic development in this area.

Literature review

Research on the relationship between industrial structure transformation and EG has attracted the attention of domestic and foreign researchers, while foreign scholars have studied it earlier. Economist Kuznets proposed that when the total economic volume changes sufficiently, it will inevitably lead to changes in the industrial structure. On the contrary, a rationalised industrial structure will also promote EG [1]. Economist Pasinetti pointed out that among the many factors affecting EG, a change in the industrial structure is a very important factor [2]. Cooper [3] and Krugman and Taylor [4] also studied the relationship between EG and industrial structure in developing countries in the past century. Over the past decades of reform and opening up, China's industrial structure has undergone great adjustments and changes, and its economy has grown rapidly. Chinese scholars have also carried out a lot of research on the relationship between industrial structure and EG, and have achieved many results. Liu Wei and Li Shaorong [5] have pointed out that only by improving the efficiency of the primary and secondary industries can the long-term stability of EG be promoted. Xu Donglin [6] used quantitative methods to analyse the adjustment of China's industrial structure from 1978 to 2002, and pointed out the impact of each industrial sector on EG. Liu Baoqun [7] pointed out that industrial structure adjustment can promote EG. Wang Feng et al. [8] pointed out that financial agglomeration and urbanisation have a positive intermediary effect in the process of industrial structure affecting EG. Through the quantitative analysis of 31 provinces and cities across the country from 1997 to 2016, Wang Chen et al. [9] pointed out that there is a co-integration relationship between GDP and the three major industries; meanwhile the added value of the three major industries has a significant role in promoting EG.

Research on the relationship between ISO and EG was also carried out from the perspective of industrial structure connotation, namely rationalisation and advancement, but the conclusions vary according to the quantitative indicators of rationalisation and advancement and the different regions. Gan Chunhui et al. [10] pointed out that the influence of industrial structure adjustment on EG is mainly due to rationalisation of the industrial structure, while the role of an advanced industrial structure is much weaker. Chang Haojuan et al. [11] pointed out that in the long run, industrial structure adjustment and EG restrict each other, and at the same time cause and impact each other. Furthermore, the advanced industrial structure has a relatively obvious role in promoting EG, while the impact of industrial structure rationalisation on EG is relatively weak. Li Hui and Ping Fangfang [12] and Wang Hui [13] have pointed out that the rationalisation and advancement of the industrial structure can promote EG. Zhao Xinyu and Wan Yujia [14] used the data of prefecture-level cities in Northeast China to demonstrate the role of rationalisation and upgrading of industrial structure on EG. The results showed that rationalisation of industrial structure promotes EG, while industrial upgrading has little effect on it.

A considerable number of scholars have also studied the relationship between ISO and regional EG. Li Jiyun and Sun Liangtao [15] studied the relationship between Yunnan's EG and industrial structure. Their research showed that Yunnan's industrial structural adjustment promotes EG, and not the reverse. Xu Jiejin et al. [16] conducted a quantitative analysis on the relationship between Chongqing's EG and industrial structure, showing that Chongqing's industrial structure does not play a significant role in its EG. Liu Yuelan and Li Yuxin [17] have pointed out that the adjustment of Xinjiang's industrial structure has promoted EG, but the effect of EG on the adjustment of Xinjiang's industrial structure is not obvious. Cai Jiaoli and Zhao Hongzhong [18] pointed out that the adjustment of industrial structure in Hebei Province is conducive to EG, but the effect of EG on the adjustment of industrial structure is not significant. Through VAR model analysis, Ma Nan and Lin Yingxing [19] found that the industrial structure plays an important role in Fujian's EG, but it takes a long time to express this relationship, and through the output value structure, EG also has a significant impact on Fujian's industrial structure.

Existing research has showed that there is a significant relationship between industrial structure and EG, and the research conclusions and research methods have certain enlightening effects. However, the research conclusions are not generalised due to the different research time, research areas, economic foundations, market environment and macro policies. Judging from the existing works, there are very few research results on the relationship between the industrial structure and EG of the Three Gorges Reservoir area. This area plays an important role in the Belt and Road Initiative and the western development, and its location advantage is obvious. Therefore, the Three Gorges Reservoir area is the focus of studies. It is particularly important to analyse the relationship between industrial structure and EG, for proposing the direction of industrial structure adjustment in line with the EG of the Three Gorges Reservoir area.

Research design
Model settings

There are many factors that cause EG, and optimisation of the industrial structure is only one of the more important ones. According to existing research results [20,21] and related theories, it is shown that technological innovation (TI), foreign trade level (FTL), fixed capital investment (FCI) and budgetary expenditure (BE) may all affect EG. This paper incorporates TI, FTL, FCI and BE as control variables into the research economic model.

Without considering the control variables, the following econometric model was constructed: (EEEE)iiii=αα+β(IIIIII)iiii+μμiiii+εεiiii {\left( {EEEE} \right)_{iiii}} = \alpha \alpha + \beta {\left( {IIIIII} \right)_{iiii}} + \mu {\mu _{iiii}} + \varepsilon {\varepsilon _{iiii}} Considering the control variables, construct the following econometric model: (EEEE)iiii=αα+β(IIIIII)iiii+γγ1(TTII)iiii+γγ2(FFTTFF)iiii+γγ3(FFFFII)iiii+γγ4(BBEE)iiii+μμiiii+εεiiii {\left( {EEEE} \right)_{iiii}} = \alpha \alpha + \beta {\left( {IIIIII} \right)_{iiii}} + \gamma {\gamma _1}{\left( {TTII} \right)_{iiii}} + \gamma {\gamma _2}{\left( {FFTTFF} \right)_{iiii}} + \gamma {\gamma _3}{\left( {FFFFII} \right)_{iiii}} + \gamma {\gamma _4}{\left( {BBEE} \right)_{iiii}} + \mu {\mu _{iiii}} + \varepsilon {\varepsilon _{iiii}} where ii are any of the counties included in the Three Gorges Reservoir area, tt is the year, μmuiiii is the unobservable effect and ɛɛiiii is the random error term.

Variable selection

The influencing factors of regional EG mainly involve investment, import and export trade, science and technology and so on. Therefore, the selection of control variables in this paper mainly involves several aspects such as TI, FTL, FCI and BE.

Explained variable: economic growth (EEEE) of the Three Gorges Reservoir area

Regarding the measurement indicators of EG, according to the existing research results, there are mainly three common methods: (1) to use per capita GDP, mainly by per capita real GDP, (2) to use the annual growth rate of regional GDP to measure and (3) to use the regional GDP for measurement [22]. Referring to the practice of Li Linhan and Tian Weimin [21], this paper used the per capita GDP to measure the level of EG, and used 2011 as the base year to calculate the real GDP through the GDP index.

Explanatory variables: ISO (IIIIII) of the Three Gorges Reservoir area

As for optimisation of the industrial structure, there is currently no unified measurement standard in the academic world. At present, quite a number of scholars measure the optimisation of industrial structure from two dimensions: rationalisation of industrial structure and advanced industrial structure; at the same time some scholars also calculate the optimisation level of the industrial structure in each region through the hierarchical coefficient [22]. Some scholars use the ratio of the added value of the secondary and tertiary industries to the regional GDP [23], while others use the ratio of the sum of the added value of the tertiary industry to the regional GDP for measurement [21, 24]. With the continuous development of the Chinese economy and the continuous optimisation and upgrading of the industrial structure, the proportion of the tertiary industry has continued to increase, and the role of the tertiary industry in the optimisation of the industrial structure has also continued to increase. In this paper we use the ratio of the sum of the added value of the tertiary industry to the regional GDP to measure optimisation of the industrial structure.

Control variables: TI, FTL, FCI, BE
TI

TI mainly refers to innovation for the purpose of creating new technologies or new products or new models based on science and technology. The level of TI directly affects the mode and efficiency of EG and the number of patent applications in a region directly reflects the level of TI in the region. Therefore, this paper uses the average number of patent applications per 10,000 people to measure the level of TI.

FTL

Relevant theories and research results have shown that the level of foreign trade is also one of the important factors affecting regional EG. EG will promote the expansion of foreign trade scale and the upgrading of foreign trade structure. At the same time, the upgrading of foreign trade structure and the expansion of foreign trade scale will promote regional EG. This article uses the average import and export volume per 10,000 people to measure the level of foreign trade.

FCI

The investment of fixed capital plays a significant positive role in promoting EG. This paper measures the level of FCI by the average FCI per 10,000 people.

BE

According to Wan Jianxiang's [25] research, BE will promote EG through environmental and external effects. This paper measures the level of BE by the local average budget expenditure per 10,000 people.

Data sources

According to the research needs, the data in this paper adopt the panel data of eight districts and counties in Chongqing's key Three Gorges Reservoir areas from 2010 to 2019. All data come from the 2011 to 2020 Chongqing Statistical Yearbooks, as well as the Statistical Yearbooks of all districts and counties, and the data published online by the Chongqing Statistics Bureau and the Statistics Bureau of all districts and counties in the reservoir areas.

Empirical analysis
Relevant inspection

In this paper, StataSE 15 was used for finding that Models (1) and (2) have changes in the intercept terms through F statistics. Therefore the mixed panel data regression model cannot be used. Where after, the Hausman test is used to find a panel regression suitable for Models (1) and (2). The results show that the individual fixed effect model is most suitable. In the individual fixed effect model, in addition to the explanatory variable, the other unobservable effects of the explained variable only change with the individual.

Among the factors affecting the EG of the Three Gorges Reservoir area, in addition to the above-mentioned explanatory variables and explained variables, there are also some unmeasurable or unobservable factors, such as cultural differences, geographical environment and so on. These factors have obvious individual heterogeneity and are relatively stable within a certain period of time, therefore the individual fixed effect model is suitable for empirical research in this paper.

Estimated results and analysis

In order to overcome the intra-group autocorrelation, cluster robust standard errors were used, and the regression results are shown in Table 1. The specific analysis is shown as follows.

The impact of ISO on EG. The empirical results of Model (1) showed that optimisation of the industrial structure has a significant role in promoting EG (β β = 14.5, p < 0.01). However, when the industrial structure of the Three Gorges Reservoir area is optimised by 1 unit the average EG of the reservoir area increases to 14.5 units. The empirical results of Model (2) showed that after adding control variables, the promotion of ISO on EG is still very significant (β β = 4.721, p < 0.05). Under the control of other variables, when the industrial structure of the Three Gorges Reservoir area is optimised by 1 unit, the EG of the reservoir area increases to 4.721 units on average. Optimisation of the industrial structure plays a positive and significant role in EG, mainly by improving the utilisation rate of resources and adjusting the mode of EG.

The influence of control variables TI, FTL, FCI and BE on EG, which could be obtained by the empirical results of Model (2) with control variables.

Estimated results of the individual fixed effect model of the industrial structure of the Three Gorges Reservoir area on EG

Explanatory variables/control variablesModel (1)Model (2)

ISO14.50*** [3.8559]4.721** [1.4149]
TI 0.0173 [0.0127]
FTL 0.404 [1.3335]
FCI 0.664** [0.2489]
BE 1.541** [0.4972]
_cons−2.227 [1.5468]−1.3 [0.9560]
N7272
Adj.R20.40570.8047

Note: (1) Standard deviations are in square brackets; (2) ***, **, and * indicate significance at the 1%, 5%, and 10% levels, respectively.

BE, budgetary expenditure; EG, economic growth; FCI, fixed capital investment; FTL, Foreign trade level; ISO, industrial structure optimisation; TI, technological innovation.

The role of TI in promoting EG is not significant. The main reason is that the economic foundation of the key reservoir areas in the Three Gorges Reservoir Area is weak, the industrial structure level is low, EG still mainly depends on the input of labour and capital, the contribution of total factor productivity is relatively limited, and technological progress and EG are not in harmony; meanwhile the role of TI in promoting EG has not been highlighted.

The FTL does not have a significant effect on EG, mainly due to the low level of economic opening in the key reservoir areas of the Three Gorges; the same as a single economic structure with a very small import and export volume has little effect on EG.

FCI has a significant positive effect on EG (γγ3 = 0.664, p < 0.05).

The empirical results showed that when FCI increases by 1 unit, the economy of the key reservoir areas in the Three Gorges increases by 0.664 units on average. The eight key districts and counties in the Three Gorges Reservoir Area, except Fuling district, are all located in the urban agglomeration of the Three Gorges Reservoir area in northeastern Chongqing. The economic development infrastructure is relatively backward, the industrial characteristics are not obvious, the industrial chain is short and there is a lack of brand pillar industries. However, the increased FCI is one of the significant contributing factors in EG.

BE has a significant positive effect on EG (γγ4 = 1.541, p < 0.05). The empirical results show that when the budgetary expenditure of the reservoir area increases by 1 unit, the average EG of the reservoir area is 1.541 units. The reason is that budgetary expenditure played a positive role in promoting the EG of the reservoir area from the aspects of EG mode, EG efficiency and innovation ability of the economy.

Conclusions and Implications

Based on the panel data of the industrial structure and EG of the Three Gorges key reservoir areas in 9 years from 2011 to 2019, an empirical analysis was conducted to test the influence of ISO, TI, FTL, FCI and budgetary expenditure on EG. The conclusions showed that (1) the optimisation of industrial structure has a significant positive effect on EG, that is, the optimisation of industrial structure in the Three Gorges Reservoir Area can promote regional EG and (2) in the control variables, due to the economic and industrial foundation of the Three Gorges Reservoir Area, infrastructure, opening level and other aspects, FCI and fiscal budget expenditure have a significant positive role in promoting EG in the reservoir area, while TI and FTL have no significant role in promoting EG in the reservoir area. To optimise the industrial structure of the reservoir area and promote EG, the main inspirations are as follows:

Accelerate the formation of a new pattern of integrated development of urban and rural industries

First, new urbanisation and rural revitalisation in the reservoir area should be planned and promoted in a coordinated manner, optimizing the layout of urban and rural industries in a larger space, and promoting the free flow, equal exchange, optimised allocation, and mutual support of urban and rural factors to achieve integrated development. Second, to vigorously implement the industrial cluster strategy of rural revitalisation in the reservoir area, vigorously cultivate industrial clusters in rural areas, and drive the high-quality integrated development of urban and rural areas with the derivative effect, agglomeration effect, network effect and innovation effect of industrial clusters. Third, focusing on the characteristics of agricultural products in the Three Gorges Reservoir Area, to intensively process agricultural products, cultural creativity, agricultural technology, sales promotion and other elements, and accelerate the formation of a new pattern of integrated development of urban and rural industries.

Promote featured industries to become better and stronger

First, strengthen planning guidance, formulate a development plan for each characteristic industry based on regional functional positioning and the development foundation of characteristic industries. In addition, strengthen the connection between industrial development plans with economic and social development plans, urban development plans and environmental protection plans etc. Second, strengthen innovation-driven industrial development, strengthen cooperation with universities and research institutes and other units with strong scientific research strength, establish innovation platforms, such as technology innovation and product research and development centres, while at the same time guide innovation resources and elements to gather in characteristic industries. Third, make full use of the geographical indications of the Three Gorges Reservoir area to promote the excellence and strength of characteristic industries. For example, to explore the Three Gorges culture and immigrant culture, the districts and counties in the Three Gorges Reservoir area jointly plan and develop products with a new pattern of integrated development of the Three Gorges tourism with urban and rural industries, and promote the development of tourism in the Three Gorges Reservoir area to take off again. Fourth, rely on China's top 500 private enterprises, including Jinlong Precision Copper Tube Group Co. Ltd., to build a copper tube industry base. Food processing and manufacturing could be developed by relying on Chongqing Fuling Mustard Group Co. Ltd., Jiangsu Hengshun Vinegar Yunyang Condiment Co. Ltd. and other enterprises.

Create a modern high-efficiency agricultural industrial belt with mountain characteristics

First, improve the agricultural management system. According to local conditions, relying on the advantages of local agricultural resources, expand the main body of new agricultural management and use modern management methods to manage agriculture. Cultivate new types of professional farmers, guide leading agricultural enterprises and farmers to jointly build agricultural industrialisation complexes, integrate the land of individual households, and form large-scale, economical and modern planting. Second, relying on ‘Internet +’ to promote the transformation of the agricultural industry business model, develop ‘Internet +’ characteristic agriculture, and open up the ‘last mile’ for agricultural products to enter the city. Third, vigorously develop late-ripening citrus, expand and strengthen Sanxia citrus, Fengjie navel orange, Kaixian spring orange and other brands, build a demonstration belt of ecological boutique modern citrus industry in the ‘Sanxia Orange Township’ in the Yangtze River Basin, and promote the establishment of the Sanxia Citrus Exchange. Focusing on Wanzhou, Kaizhou, Zhongxian, Yunyang and Fengdu, rationally plan and scientifically deploy livestock breeding bases such as cattle, sheep, rabbits, live pigs and mountain chickens. Support the deployment of ‘Belt and Road’ storage bases for imported grain, oil, meat and aquatic products in Wanzhou.

Put Efforts on developing green manufacturing and green processing industry

First, increase financial and taxation support, promote the green transformation of the manufacturing industry, support industry-university-research institutes to jointly build a green design platform, make breakthroughs in key technologies for green development, guide the promotion of financial institutions, explore new investment and financing models for the development of green manufacturing industries and deepen financial support for green manufacturing. Second, give full play to the main role of enterprises, create a green supply chain for products, and comprehensively promote the construction of an efficient, clean and green system. We must use various methods to leverage social forces to establish a guide fund, establish a model of green development and develop advanced technologies. Allow some enterprises or some regions to develop green first. Third, strengthen the implementation of regulations and standards, strengthen the constraints of regulations and standards such as industrial energy conservation and comprehensive utilisation, formulate national standard enterprise standards, promote industrial green upgrades and establish an evaluation mechanism.

Accelerate the development of ecological cultural tourism and big health industry

First, dig deep into the cultural connotation, vigorously develop experiential leisure tourism agriculture, and promote the integrated development of agriculture, culture and tourism. The contribution rate of tourism to EG in Wushan County is the highest among the key reservoir areas, and it has been established as a national all-for-one tourism demonstration area at the same time as Wulong District in the same reservoir area. Wushan, Fengjie, Yunyang, Fengdu and other districts and counties in the key reservoir areas can make use of their own rich tourism resources, endow preferential policies such as taxation, capital and land. Vigorously develop the ecological cultural tourism industry, and use tourism to drive related industries such as big health industry development. Second, support the cultural excavation, function expansion, facilities and service upgrades of famous scenic spots along the Three Gorges of the Yangtze River, such as Wanzhou Tiansheng City, Fengdu Famous Mountain, Zhongxian Shibao Village, Fengjie Baidi City and Yunyang Zhangfei Temple to build the Yangtze River Poetry and Songs. Third, focus on tourism and leisure, health recuperation, cultural and folk customs, and strive to create a number of characteristic small towns.

Fully develop the resource advantages of the reservoir area, extend the industrial chain and promote industrial clusters

Around the industrial chain, deploy the industrial chain around the innovation chain, make full use of advantageous resources, expand the scale and intensity of its development, give full play to economies of scale, and drive the development of other related industries through the comprehensive utilisation and development of resources. In the process of developing advantageous industries, fully extend the industrial chain, and use the industrial chain to drive as many industries as possible to develop together. The construction of the Three Gorges Reservoir Area should be based on the development law of the industrial economy, make overall planning and optimise the industrial layout of the reservoir area. First, optimise and adjust the agricultural industry structure, give full play to characteristic agriculture and brand agriculture, and focus on the development of citrus, mustard, Chinese medicinal materials. Other advantageous industrial belts and characteristic industrial areas, such as Fengjie, Wushan, can cluster the development of brand characteristic fruits. Second, since the ecological environment of the reservoir area is fragile, advanced technology and environmental protection technology should be adopted to develop the ecological economy. For example, Fuling and Shizhu take chemical fertilisers and biomedicine as their core industries, and promote the development of food, building materials, chemicals and other related industries. Third, relying on the golden waterway of the Yangtze River, a modern logistics industry cluster belt in the Three Gorges Reservoir area will be formed along the Yangtze River, and a world-class tourism industry cluster belt will be built in the reservoir area relying on the unique tourism resources of the reservoir area. Fourth, vigorously develop the industry in the park, formulate special preferential policies, attract more similar and related enterprises to enter the park, and relocate some non-related enterprises in compensation, which can quickly form an industrial cluster with characteristics of the reservoir area.

Estimated results of the individual fixed effect model of the industrial structure of the Three Gorges Reservoir area on EG

Explanatory variables/control variables Model (1) Model (2)

ISO 14.50*** [3.8559] 4.721** [1.4149]
TI 0.0173 [0.0127]
FTL 0.404 [1.3335]
FCI 0.664** [0.2489]
BE 1.541** [0.4972]
_cons −2.227 [1.5468] −1.3 [0.9560]
N 72 72
Adj.R2 0.4057 0.8047

Simon Kuznets. Economic growth of various countries [M]. Beijing: Commercial Press, 1999. KuznetsSimon Economic growth of various countries [M]. Beijing Commercial Press 1999 Search in Google Scholar

Luigi L. Pasinetti. Structural Change and Economic Growth [M]. Cambridge University Press, 1981: 21~22. PasinettiLuigi L. Structural Change and Economic Growth [M]. Cambridge University Press 1981 21 22 Search in Google Scholar

Cooper R M. Currency Devaluation in Developing Countries [R]. Princeton Essays in International Finance, 1971 (7). CooperR M Currency Devaluation in Developing Countries [R]. Princeton Essays in International Finance 1971 7 Search in Google Scholar

Krugman, Paul, Lance Taylor. Contractionary Effects of Devaluation[J]. Journal of International Economics, 1978 (2). KrugmanPaul TaylorLance Contractionary Effects of Devaluation [J]. Journal of International Economics 1978 2 10.1016/0022-1996(78)90007-7 Search in Google Scholar

Liu Wei, Li Shaorong. Industrial Structure and Economic Growth [J]. China Industrial Economy, 2002(05): 14–21. LiuWei LiShaorong Industrial Structure and Economic Growth [J]. China Industrial Economy 2002 05 14 21 Search in Google Scholar

Xu Donglin. An Empirical Analysis of China's Industrial Structure Change and Economic Growth [J]. Journal of Zhongnan University of Economics and Law, 2004(02): 49–54+143. XuDonglin An Empirical Analysis of China's Industrial Structure Change and Economic Growth [J]. Journal of Zhongnan University of Economics and Law 2004 02 49 54+143 Search in Google Scholar

Liu Baojun. An Empirical Analysis of the Evolution of China's Industrial Structure and the Causes of Economic Growth [J]. Economics and Management Research, 2007(02): 57–60+79. LiuBaojun An Empirical Analysis of the Evolution of China's Industrial Structure and the Causes of Economic Growth [J]. Economics and Management Research 2007 02 57 60+79 Search in Google Scholar

Wang Feng, Zhang Fang, Liu Juan. An empirical test of the role of industrial structure on economic growth [J]. Statistics and Decision, 2018, 34(10): 135–138. WangFeng ZhangFang LiuJuan An empirical test of the role of industrial structure on economic growth [J]. Statistics and Decision 2018 34 10 135 138 Search in Google Scholar

Wang Chen, Su Jinmei, Hou Na, Sun Pengzhe. An empirical study on the relationship between economic growth and industrial structure: Based on the provincial panel model [J]. Journal of Inner Mongolia Agricultural University (Natural Science Edition), 2019, 40(03): 84–91. WangChen SuJinmei HouNa SunPengzhe An empirical study on the relationship between economic growth and industrial structure: Based on the provincial panel model [J]. Journal of Inner Mongolia Agricultural University (Natural Science Edition) 2019 40 03 84 91 Search in Google Scholar

Gan Chunhui, Zheng Ruogu, Yu Jianjian. The Impact of China's Industrial Structure Change on Economic Growth and Fluctuation [J]. Economic Research, 2011, 46(05): 4–16+31. GanChunhui ZhengRuogu YuJianjian The Impact of China's Industrial Structure Change on Economic Growth and Fluctuation [J]. Economic Research 2011 46 05 4 16+31 Search in Google Scholar

Chang Haojuan, Wang Yongjing. An Empirical Analysis of the Impact of Industrial Structure Changes on China's Economic Growth [J]. Science and Technology Management Research, 2014, 34(07): 110–114. ChangHaojuan WangYongjing An Empirical Analysis of the Impact of Industrial Structure Changes on China's Economic Growth [J]. Science and Technology Management Research 2014 34 07 110 114 Search in Google Scholar

Li Hui, Ping Fangfang. An Empirical Study on the Relationship between Industrial Structure Change and Economic Growth [J]. Industrial Technology Economy, 2014, 33(10): 33–40. LiHui PingFangfang An Empirical Study on the Relationship between Industrial Structure Change and Economic Growth [J]. Industrial Technology Economy 2014 33 10 33 40 Search in Google Scholar

Wang Hui. An empirical study on the relationship between industrial structure upgrading and economic growth [J]. Statistics and Decision-Making, 2014(16): 138–140. WangHui An empirical study on the relationship between industrial structure upgrading and economic growth [J]. Statistics and Decision-Making 2014 16 138 140 Search in Google Scholar

Zhao Xinyu, Wan Yujia. Industrial Structure Change and Regional Economic Growth: An Empirical Study Based on Urban Data in Northeast China from 1994 to 2015 [J]. Qiushi Journal, 2018, 45(06): 61–69. ZhaoXinyu WanYujia Industrial Structure Change and Regional Economic Growth: An Empirical Study Based on Urban Data in Northeast China from 1994 to 2015 [J]. Qiushi Journal 2018 45 06 61 69 Search in Google Scholar

Li Jiyun, Sun Liangtao. An empirical analysis of the relationship between Yunnan's industrial structure and economic growth [J]. Industrial Technology Economy, 2005(08): 90–91+107+115. LiJiyun SunLiangtao An empirical analysis of the relationship between Yunnan's industrial structure and economic growth [J]. Industrial Technology Economy 2005 08 90 91+107+115 Search in Google Scholar

Xu Jiejin, Huang Zhiliang, Zhou Bing. An Empirical Analysis of Chongqing's Industrial Structure and Economic Growth [J]. Soft Science, 2008(09): 95–99. XuJiejin HuangZhiliang ZhouBing An Empirical Analysis of Chongqing's Industrial Structure and Economic Growth [J]. Soft Science 2008 09 95 99 Search in Google Scholar

Liu Yuelan, Li Yuxin. An Empirical Analysis of the Effects of Industrial Structure Changes on Economic Growth in Xinjiang [J]. Resources and Environment in Arid Areas, 2010, 24(06): 57–62. LiuYuelan LiYuxin An Empirical Analysis of the Effects of Industrial Structure Changes on Economic Growth in Xinjiang [J]. Resources and Environment in Arid Areas 2010 24 06 57 62 Search in Google Scholar

Cai Jiaoli, Zhao Hongzhong. Analysis of the Interaction between Industrial Structure and Economic Growth in Hebei Province [J]. Journal of Wuhan University of Technology (Social Science Edition), 2013, 26(05): 721–725. CaiJiaoli ZhaoHongzhong Analysis of the Interaction between Industrial Structure and Economic Growth in Hebei Province [J]. Journal of Wuhan University of Technology (Social Science Edition) 2013 26 05 721 725 Search in Google Scholar

Ma Nan, Lin Yingxing. Industrial Structure and Fujian's Economic Growth: An Empirical Analysis Based on VAR Model [J]. Fujian Forum (Humanities and Social Sciences Edition), 2016(07): 165–169. MaNan LinYingxing Industrial Structure and Fujian's Economic Growth: An Empirical Analysis Based on VAR Model [J]. Fujian Forum (Humanities and Social Sciences Edition) 2016 07 165 169 Search in Google Scholar

Li Xiang, Deng Feng. Empirical analysis of China's industrial structure optimization on economic growth [J]. Industrial Technology Economy, 2017, 36(02): 3–9. LiXiang DengFeng Empirical analysis of China's industrial structure optimization on economic growth [J]. Industrial Technology Economy 2017 36 02 3 9 Search in Google Scholar

Li Linhan, Tian Weimin. Development of Digital Finance, Industrial Structure Transformation and Regional Economic Growth: An Empirical Analysis Based on Spatial Durbin Model [J]. Financial Theory and Practice, 2021(02): 8–16. LiLinhan TianWeimin Development of Digital Finance, Industrial Structure Transformation and Regional Economic Growth: An Empirical Analysis Based on Spatial Durbin Model [J]. Financial Theory and Practice 2021 02 8 16 Search in Google Scholar

Song Chenze, Jia Jingquan. Research on the correlation between economic growth and industrial structure upgrading [J]. Journal of Changchun University of Science and Technology (Social Science Edition), 2021, 34(02): 76–80. SongChenze JiaJingquan Research on the correlation between economic growth and industrial structure upgrading [J]. Journal of Changchun University of Science and Technology (Social Science Edition) 2021 34 02 76 80 Search in Google Scholar

Shi Weidong, Gao Ya. The impact of the agglomeration development of the financial service industry on the upgrading of the industrial structure: an empirical test based on the panel data of 16 central cities in the Yangtze River Delta [J]. Economics and Management Research, 2013(03): 73–81. ShiWeidong GaoYa The impact of the agglomeration development of the financial service industry on the upgrading of the industrial structure: an empirical test based on the panel data of 16 central cities in the Yangtze River Delta [J]. Economics and Management Research 2013 03 73 81 Search in Google Scholar

Wang Jing. Research on the threshold effect of FDI promoting the optimization of industrial structure in various regions of China [J]. World Economic Research, 2014(03): 73–79+89. WangJing Research on the threshold effect of FDI promoting the optimization of industrial structure in various regions of China [J]. World Economic Research 2014 03 73 79+89 Search in Google Scholar

Wan Jianxiang. Performance Analysis of China's Fiscal Budget Expenditure on Economic Growth, Resource Consumption and Environmental Protection [J]. Finance Research, 2015(03): 6–10. WanJianxiang Performance Analysis of China's Fiscal Budget Expenditure on Economic Growth, Resource Consumption and Environmental Protection [J]. Finance Research 2015 03 6 10 Search in Google Scholar

Artículos recomendados de Trend MD

Planifique su conferencia remota con Sciendo