Does economic agglomeration affect haze pollution? Evidence from China's Yellow River basin

Wang, Xing; Zhang, Qianxiang; Chang, Wei-Yew

doi:10.1016/j.jclepro.2021.130271

Cited by 42 publications

(18 citation statements)

References 27 publications

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“…24 The effect of economic agglomeration on environmental pollution depends on the combined effect of the above positive and negative effects, and therefore some empirical studies have found the relationship between the two to be uncertain or non-linear. For example, Wang et al 22 based on panel data from 74 cities in China's Yellow River Science Progress 105 (4) Basin, inferred an N-type relationship between economic agglomeration and haze pollution. Glaeser and Kahn 25 hold that increasing urban economic density was conducive to reducing carbon emissions, with a non-linear relationship between the two indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

Does economic agglomeration improve agricultural green total factor productivity? Evidence from China's Yangtze river delta

Wang

Liu

et al. 2022

Science Progress

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Economic agglomeration plays an important role in China's social transformation process of industry feeding agriculture and urban supporting rural areas, and is one of the core weapons to promote agricultural economic growth and green and efficient development. Based on panel data of 41 cities in the Yangtze River Delta (YRD) from 2010 to 2020, this paper constructs an “environment-resource-energy-economy” agricultural input-output system, taking into account carbon emissions and surface pollution, and provides a more comprehensive accounting of agricultural green total factor productivity (AGTFP), the non-linear effects of economic agglomeration on AGTFP and shock responses were empirically analyzed using a panel threshold model and a panel vector autoregression (VAR), respectively. The findings show that: (1) during the period 2010–2020, the AGTFP in the YRD showed an overall rising trend with regional spatial agglomeration characteristics. (2) Economic agglomeration has a triple threshold effect on AGTFP, which was a weak facilitative effect in the early stage, inhibited by the siphoning effect of resource loss and arable land fragmentation in the growth stage, promoted by the radiation effect of external increasing return to scale in the form of sharing, matching and learning in the maturity stage, and finally tends to decline. (3) The shock response of economic agglomeration to AGTFP showed a continuous positive shock, peaking in the first period and then gradually converging to zero. (4) The heterogeneity analysis demonstrated that economic agglomeration has a considerable impact on boosting AGTFP in non-metropolitan areas and cities on the outskirts of YRD. In the future, China should effectively play a positive role in economic agglomeration on AGTFP and enhance the mutual coordination of economic agglomeration and agricultural green development in the process of urban cluster economic growth.

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Section: Literature Reviewmentioning

confidence: 99%

Does economic agglomeration improve agricultural green total factor productivity? Evidence from China's Yangtze river delta

Wang

Liu

et al. 2022

Science Progress

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“…e relationship between CO 2 emissions, eco-efficiency, and economic growth is not simply linear, but its specific shape is influenced by the resource endowment structure, industrial structure, and energy consumption structure at different stages of economic development. e proportion of capital and labor-intensive industries in the YRB is relatively high, while the proportion of technology-intensive industries is relatively low [37,38]. e economic development stage of the YRB is still in the extensive development stage, but there is a tendency to transform and upgrade to the stage of high-quality development [39].…”

Section: Theoretical Modelmentioning

confidence: 99%

Carbon Emissions, Ecological Efficiency, and the Economic Development Stage: Evidence from the Yellow River Basin

Han

Wang

Zhe

2022

Scientific Programming

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This paper has explored the relationship between CO2 emissions, eco-efficiency, and economic growth, which has important theoretical and practical significance for realizing high-quality development of the Yellow River Basin (YRB). Based on the data of 99 prefecture-level cities in the YRB from 2003 to 2017, this paper analyses the temporal and spatial variation and agglomeration characteristics of CO2 emissions and eco-efficiency in the YRB. The spatial Durbin model (SDM) with fixed effects is used to test the relationship between CO2 emissions, eco-efficiency, and economic growth in the YRB by using new structural economics theory and the EKC hypothesis. The results show that (1) the YRB is in a stage of extensive economic development with the coexistence of high CO2 emissions and low eco-efficiency and shows a trend of transformation and upgrading to a stage of high-quality economic development; (2) CO2 emissions and eco-efficiency are spatially heterogeneous; CO2 emissions and eco-efficiency in the upper reaches are low, and the middle maintains relatively high eco-efficiency and high CO2 emissions while the lower reaches have both high CO2 emissions and low eco-efficiency; (3) the relationship between CO2 emissions and economic growth is N-shaped, and there is an inflection point of accelerated increase (per capita GDP is 45,558 yuan). The YRB has crossed this inflection point, and CO2 emissions are accelerating with economic development at this stage. The relationship between eco-efficiency and economic growth is U-shaped, with the inflection point of per capita GDP at 46,483 yuan. The YRB has just crossed the point, and eco-efficiency will subsequently steadily rise with economic development.

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“…This paper refers to Zhu, Zhang, Huang, Wang, and Su [41] to control the following variables: (1) economic development (Eco) is measured by the logarithmic value of the GDP of each prefecture-level city; (2) labor endowment (Labor) is the proportion of employees to the total population at the end of the year; (3) openness (Open) is measured by the percentage of actual foreign investment in GDP; (4) financial size (Fin) is measured using the logarithm of the number of employees in the financial industry; (5) industrial upgrading level (Ind) is expressed as the ratio of primary industry value added to GDP × 1 + the ratio of secondary industry value added to GDP × 2 + the ratio of tertiary industry value added to GDP × 3; (6) Urbanization (Urb) is the ratio of urban construction land to total area; (7) By the end of 2019, three batches of pilot cities for innovative industrial agglomeration have been established. To accurately measure the environmental effects of this policy, this paper refers to the practice of Beck, Levine, and Levkov [42], and constructs the following multi-period DID model:…”

Section: Control Variablesmentioning

confidence: 99%

“…The phenomenon of agglomeration can push the integration of industrial resources, optimize the upgrading of industrial structure and, thus, promote economic growth [6]. At the same time, the agglomeration development will use a large number of internal and external resources in the agglomeration area, leading to excessive centralization of population, which will also bring different levels of influence to the surrounding environment [7]. China is a major carbon emitter and is under greater pressure to save energy and reduce emissions in economic development [8].…”

Section: Introductionmentioning

confidence: 99%

Does Innovative Industrial Agglomeration Promote Environmentally-Friendly Development? Evidence from Chinese Prefecture-Level Cities

Liu

et al. 2022

Sustainability

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China has promised to meet the “carbon peaking and carbon neutrality” goals. Exploring the relationship between innovative industrial agglomeration and environmental pollution plays an important role in the realization of these goals and sustainable development. Based on the panel data of 277 prefecture-level cities in China from 2007 to 2019, this paper uses the multi-period difference-in-difference (DID) model to examine the impact and mechanism of the innovative industrial agglomeration pilot (IIAP) policy on the environment. Furthermore, we explore the spatial spillover effect of the IIAP using spatial DID. The findings show that, firstly, the IIAP policy significantly contributes to environmentally-friendly development in terms of enhancing carbon emission efficiency (CEE) and reducing environmental pollution index (EPI). Secondly, the IIAP policy promotes environmentally-friendly development mainly by improving the technological innovation level. Additionally, the heterogeneity analysis shows that the environmentally-friendly effect of the IIAP policy is primarily in the eastern region, large cities, and non-resource-based cities. Finally, there is a significant spatial effect of the IIAP policy on environmentally-friendly development, mainly reflected in the weak siphon effect between treatment group cities and neighboring regions. We suggest that the government should continue to maintain the steady growth of the IIAP cities and improve the energy utilization efficiency through a policy of green technology innovation. The government should also optimize the spatial layout of the pilot cities and make full use of the energy advantages of each region to better promote environmentally-friendly development.

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Does economic agglomeration affect haze pollution? Evidence from China's Yellow River basin

Cited by 42 publications

References 27 publications

Does economic agglomeration improve agricultural green total factor productivity? Evidence from China's Yangtze river delta

Does economic agglomeration improve agricultural green total factor productivity? Evidence from China's Yangtze river delta

Carbon Emissions, Ecological Efficiency, and the Economic Development Stage: Evidence from the Yellow River Basin

Does Innovative Industrial Agglomeration Promote Environmentally-Friendly Development? Evidence from Chinese Prefecture-Level Cities

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