Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Xingling, Huang; Liu, Jianguo

doi:10.1007/s11769-019-1089-0

Cited by 13 publications

(14 citation statements)

References 25 publications

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“…is policy strongly encouraged the coordinated development of the Beijing, Tianjin, and Hebei economies. Our findings also indicate that government-led investments have been the source of and driving force behind economic growth in the BTH megaregion, whereas technological progress characterized by innovation has not been fully utilized in economic growth [62].…”

Section: Results and Analysis Of Tfp In The Bth Metropolitanmentioning

confidence: 65%

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The Impact of Spatial Structure on Economic Efficiency of Beijing-Tianjin-Hebei Megalopolis in China

Xingling

Liu

2020

Complexity

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This study constructs a theoretical model and empirical framework concerning how spatial structure affects economic efficiency using data on the Beijing-Tianjin-Hebei (BTH) megaregion between 2008 and 2017. The study finds the following: ① the development of the internal spatial structure of the BTH urban agglomeration is unequal. The populations of most cities in the urban agglomeration are still in a dispersed state. Although urban populations have tended to agglomerate around multiple subcenter units in the cities, the trend towards population agglomeration around city centers is not found to be significant. ② The total factor productivity (TFP) of the BTH urban agglomeration was not high in most years between 2008 and 2017, showing a fluctuating downward trend overall. The TFP of the urban agglomeration showed differential regional patterns. The decline of TFP growth in the BTH urban agglomeration is mainly due to declining technological progress, technological efficiency, and scale efficiency. Resource input remains the major driving force behind the development of the BTH megaregion. ③ Concerning how the spatial structure of the urban agglomeration affected economic efficiency, the study finds that primacy, urban Gini index, urban population size, human capital, informatization level, industrial structure, and science and technology levels have positive effects on economic efficiency, whereas dispersion, governmental role, economic openness, and land input have negative effects. This study has several policy implications. Achieving coordinated and integrated development of the BTH urban agglomeration will require constructing a scientific and regional spatial system, improving the development levels of regional central cities, divesting Beijing of noncapital functions, and reshaping the industrial layout of the BTH megaregion in an orderly manner, while continuously improving the internal hierarchical structure of urban agglomeration and strengthening intercity economic connections.

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Section: Results and Analysis Of Tfp In The Bth Metropolitanmentioning

confidence: 65%

“…Since government intervention will have a crowding-out effect on investment and reduce market efficiency [62], it is hypothesized that governmental role will have a negative effect on TFP.…”

Section: Complexitymentioning

confidence: 99%

The Impact of Spatial Structure on Economic Efficiency of Beijing-Tianjin-Hebei Megalopolis in China

Xingling

Liu

2020

Complexity

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“…Some scholars have analyzed and affirmed the impact of industrial structure adjustment on economic production efficiency, but there are significant differences in research conclusions. Most studies indicate that the advancement of industrial structure has a positive effect on the improvement of production efficiency, which confirms the "structural dividend hypothesis" [ 21 , 22 ], but this positive relationship will be different due to regional economic development differences [ 23 , 24 ]. Lu et al thought that the rationalization and optimization of industrial structure has a positive effect on promoting the development of green TFP in China and all the regions, but the regional characteristics of this effect are different.…”

Section: Introductionmentioning

confidence: 82%

Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China

2021

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Improving total factor productivity (TFP) is the source of power for high-quality development. Industrial structure optimization is an important way to improve TFP. This paper constructed an econometric model of industry structure changes impacting on TFP in the marine fisheries and conducted an empirical test and analysis. The results showed that the industry rationalization, softening and processing coefficient of marine fishery had a significant “structural dividend” for improving its TFP; while the impact of industrial structure advancement and aquaculture-catching structure changes did not have “structural dividend”, but it could be a combination of other factors to reduce these adverse effects.We believe that simply pursuing the advanced evolution of the industrial structure is not conducive to sustainable development of fishery. Under the pursuit of the rationalization of the marine fishery industry structure, by promoting the coordinated evolution of marine fisheries advancement, aquaculture-catching structure and other factors, the "structural dividend" effect can be enhanced and the fishery can achieve sustainable development. Finally, it proposed to promote the development of advancement and rationalization of marine fishery industry structure coordinately, adjust fishery science and technology transformation direction and key points, and accelerate the development of intensive processing industry by cross-border integration.

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“…By the end of 2016, the BTH consists of 13 cities and 196 counties. According to the Outline of Coordinated Development of the Beijing-Tianjin-Hebei Region promulgated by the Chinese government in 2015, BTH should not only become a highly integrated urban agglomeration in the world, but also explore a new path for global product development, resource sharing and land optimization [36]. The coordinated development strategy of BTH plays an important role in the sustainable development of regional socioeconomics and complements each other with distinct advantages.…”

Section: Study Areamentioning

confidence: 99%

Spatial Heterogeneity of Driving Forces in Response to Carbon Emissions from Land Use at County-Level in Beijing-Tianjin-Hebei Region

Tian¹,

Zheng²

2022

Pol. J. Environ. Stud.

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Carbon emissions from land use (LUCE) is an increasingly serious problem in China, and the direction of carbon reduction in urban agglomerations is still unclear. This study aimed to identify the key factors that influence county-level LUCE and their response to LUCE in Beijing-Tianjin-Hebei (BTH) region. Based on multi-source data, our study calculated county-level LUCE and its spatiotemporal variations in BTH from 1992 to 2018. Random forest (RF) and geographically weighted regression (GWR) models were applied to discuss influential factors' impact and spatial response on LUCE by quantifying relative importance and spatial heterogeneity. The results show that countylevel LUCE in BTH increased by 1300.04×10 4 t, with an average annual growth rate of 46.11% during 1992-2018, and exhibited prominent spatial autocorrelation, with higher-value counties mostly in the core areas and lower-value counties in the suburbs within BTH. The RF estimates were better than the multiple linear regression (MLR) estimates with an improvement in R 2 from 0.56 to 0.98. Population, urbanization, energy intensity, industry proportion, road network density and technical progress had effective explanatory power for county-level LUCE. In addition, GWR estimation shows that the main influencing factors demonstrated significant spatial heterogeneity, and the impacts of population, urbanization, economic, energy structure and road factors in the central core counties were significantly higher than in the northwestern and southern regions. Industrial structure and technology have the greatest impact in the southern and northeast counties. This study explores different causes of LUCE in different counties of urban agglomerations and the continuation of low-carbon control measures in BTH is required.

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Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Cited by 13 publications

References 25 publications

The Impact of Spatial Structure on Economic Efficiency of Beijing-Tianjin-Hebei Megalopolis in China

The Impact of Spatial Structure on Economic Efficiency of Beijing-Tianjin-Hebei Megalopolis in China

Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China

Spatial Heterogeneity of Driving Forces in Response to Carbon Emissions from Land Use at County-Level in Beijing-Tianjin-Hebei Region

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