Place-based policies, administrative hierarchy, and city growth: Evidence from China

Gao, Ming; Gu, Qiankun; He, Shijun

doi:10.1016/j.econmod.2022.105952

Cited by 16 publications

(9 citation statements)

References 40 publications

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“…The potential factors affecting economic development may vary depending on the city’s administrative hierarchy, thus leading to a biased estimation of the net policy effect [ 50 ]. For instance, Gao et al [ 51 ] demonstrate that cities with higher hierarchical levels, such as provincial and sub-provincial cities, have access to more preferential policies and can influence the distribution of resources to some extent. Although most of our study samples are ordinary cities, they still include some provincial and sub-provincial cities.…”

Section: Resultsmentioning

confidence: 99%

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Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program

Pan,

Zhou,

Kong

2023

PLoS ONE

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Triggering economic growth is a requirement to promote human welfare and realize sustainable development in many developing countries. However, place-based policies’ impact on economic growth is debatable, and its underlying mechanism is unknown. China’s Old Revolutionary Development Program (ORDP) is a large-scale and novel type of place-based policy targeted at undeveloped regions in China. We evaluate the effect of ORDP on economic growth by employing a time-varying difference-in-differences model and further explore the potential mechanisms and heterogeneity effects. VIIRS/DNB nightlight data is used to measure economic growth. We find that ORDP can significantly promote economic growth by 4.0% and the result is still robust after several tests. Mechanism analysis shows that ORDP can improve economic growth through government intervention, industrial structure optimization, and information infrastructure construction. Heterogeneity analysis indicates that the ORDP performs better on economic growth in central Chinese cities and high-economy cities. At the same time, our paper provides three practical suggestions for stimulating economic growth in ORDP, which can be enlightening for other developing countries.

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Section: Resultsmentioning

confidence: 99%

“…high-level economy cities to perform better than those low-level economy cities under the same ORDP implementation [51]. For another, low-level economic ORDP cities are mainly located in lagging regions with poor geography [32], making it challenging for ORDP to overpower their initial disadvantageous conditions.…”

Section: Plos Onementioning

confidence: 99%

Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program

Pan,

Zhou,

Kong

2023

PLoS ONE

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“…These cities can obtain more urban construction land quotas to promote the construction of new districts, development zones, and industrial parks to meet the increasing demand for urban space (Sun & Zhao, 2018). The cities also have better social and economic performance than other cities, and attract more investment from the central government and other countries (Chan & Zhao, 2002;Gao et al, 2022). Therefore, the built-up areas of cities with high administrative hierarchy increase more and urban spatial expansion is serious (Li et al, 2015;Wei, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…They also attract more investment from the central government, domestic and foreign and have better social and economic performance (Chan & Zhao, 2002;Li et al, 2015). The level of urbanization in these cities are relatively high (Gao et al, 2022). Therefore, the administrative hierarchy is used to measure the power hierarchy of cities in this study.…”

Section: Explanatory Variablesmentioning

confidence: 99%

Power Pyramid, Hidden Debt, and China’s Urban Expansion

Zhang

et al. 2022

International Journal of Strategic Property Management

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Chinese urban spatial expansion leads to inefficient use of land resources. This study uses the data of 289 cities from 2007 to 2018 and uses panel data models to test the driving mechanism of urban expansion. The study derives three conclusions. First, there is a significant positive correlation between urban power hierarchy and urban spatial expansion. If the urban administrative power hierarchy is high, then the urban built-up area increases more. Second, there is a significant positive correlation between the scale of hidden debt and the expansion of urban space. The increase of the urban investment bonds’ scale will promote the expansion of urban built-up areas. Third, there is a significant positive correlation between the quantity of bond issuers and urban spatial expansion.

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“…The administrative level of cities plays an important role in the allocation of resources in China [ 86 ]. Cities with higher administrative level have higher access to resources [ 87 ]. This indicates that high administrative level cities are more attractive to firms with high industrialization level and CEP than lower administrative level cities.…”

Section: Heterogeneity Analysismentioning

confidence: 99%

Assessing the impact of industrial intelligence on urban carbon emission performance: Evidence from China

Tu,

Zang,

et al. 2024

Heliyon

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Place-based policies, administrative hierarchy, and city growth: Evidence from China

Cited by 16 publications

References 40 publications

Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program

Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program

Power Pyramid, Hidden Debt, and China’s Urban Expansion

Assessing the impact of industrial intelligence on urban carbon emission performance: Evidence from China

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