Empirical analysis of the influential factors of haze pollution in china—Based on spatial econometric model

Xiao-hong, Liu; Xia, Houxue

doi:10.1177/0958305x18813648

Cited by 18 publications

(10 citation statements)

References 21 publications

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“…The Moran Scatterplot shows the observed value of each city and its surrounding cities, which are distributed in four quadrants—HH, HL, LL, and LH. The HH cluster and the LL cluster indicate a spatial association of similar values, and the HL and the LH cluster spatial association of dissimilar values (Anselin, 1996; Liu & Xia, 2019; Lukongo & Rezek, 2018). Details of spatial characteristics are shown in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach

Guo

Liu

2022

Sage Open

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This paper explored the effects of urbanization and industrial structure change in contemporary China using the data of 26 cities in the Yangtze River Delta (YRD) between 2006 and 2017. We analyzed the spatial characteristics of the regional economic growth by calculating the Global Moran’s I and the Local Moran’s I. We investigated the relationship between urbanization, industrial structure upgrade, and economic growth through a spatial econometric approach and tested the panel thresholds. Our findings included: (1) spatial autocorrelation is an important driver of urbanization and industrial structure upgrade; (2) the upgrade of the industrial structure leads to a structural economic deceleration which slows down the regional economic growth in the YRD; however, the positive effect of industrial structure upgrade on the regional economic growth still exists; (3) a synergy effect of New-type Urbanization and industrial structural upgrade positively affects the economic growth in the YRD; (4) the empirical results indicate that only when urbanization and industrial structural upgrade develop coordinately, will they play better roles in promoting the economic growth.

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Section: Methodsmentioning

confidence: 99%

Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach

Guo

Liu

2022

Sage Open

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“…This indicator is also known as the grain production centralization degree. It indicates the basic situation with respect to changes in regional grain production patterns, both horizontal and vertical, for each province or region (Lu and Mei, 2007). We use this indicator to evaluate the change in China's grain production pattern.…”

Section: Data Sources and Research Methodsmentioning

confidence: 99%

“…Grain production security is an important guarantee of national food security and relies on a reasonable production layout. Therefore, changes in grain production patterns have been the focus of many studies over a long period of time (Huang, 1995;Lu and Lv, 1997;Wu, 2000;Gao, 2005;Yin et al, 2006;Lu and Mei, 2007;Deng et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…The center of grain production has shifted from the south to the north and from the eastern region to the middle and western regions (Guo, 1992;Cheng and Zhang, 2005;Wang and Liu, 2009). Changes in spatial patterns of grain production are influenced by many factors, such as differences in regional comparative advantages, the structural transformation of agriculture, the impact of economies of scale on grain production (Li, 1996a;Li, 1996b), per capita arable land resources, the total number of agricultural laborers and their education levels, and inputs of fertilizer and agricultural machinery (Wu, 2000;Gao, 2005;Yin et al, 2006;Lu and Mei, 2007). Increasing regional centralization of grain production is another change in the spatial pattern change of China's grain production (Tan et al, 2012;Zhou and Cheng, 2015;Chai and Zhu, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Changes in China's Grain Production Pattern and the Effects of Urbanization and Dietary Structure

Liu

Xiao

et al. 2020

Journal of Resources and Ecology

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Grain production patterns are the basis of a nation's food security. Since China's reform and opening-up began in 1978, China's urbanization process, driven by rapid social and economic development, has accelerated steadily. During this time, the dietary structure of urban and rural Chinese has also changed significantly. Accordingly, grain production patterns have undergone major changes. First, traditional grain production patterns in the north and the south have changed, and the food production center has shifted toward the north. In 1980, the grain yield of southern provinces accounted for 60% of China's total, while that of northern provinces accounted for 40%. In 2015, the grain yield of southern provinces accounted for 56% of the total, while that of northern provinces accounted for 44%. Second, grain production by regions of the country is "shrinking in the east but expanding in the central regions," meaning that grain production in eastern coastal provinces has decreased significantly, while that in the central region has expanded. The proportions of the nation's total grain production from the eastern, central and western regions were 38%, 36% and 26%, respectively, in 1980. These had changed to 27%, 46%, and 27%, respectively, in 2015. Third, the spatial centralization of grain production has increased. The total grain yield of 13 major grain-producing provinces and regions in the country accounted for 69.27% of nation's total in 1980, and it had reached 76.18% in 2015, showing that the impact of major grain-producing areas on national food security has increased. The influence of rapid urbanization on grain production areas shows remarkable regional differences. As the level of urbanization has increased, build-up land occupies a large number of high-quality farmland, especially in east coastal provinces and thus the grain planting area decreased obviously. The effect of dietary structure changes on grain production patterns was evident in two ways. On the one hand, as dietary diversity has increased, total grain consumption has decreased. The reduction in the proportion of planting area for grain crops to total crop planting area dropped from 82% in 1980 to 68% in 2015, making this change in total grain consumption evident. On the other hand, the ratio of grain for human consumption declined as the ratio of grain consumed by animals increased. The reduction in the proportion of rice and wheat grown and an increase in the proportion of feed grain production (mostly maize) from 20% in the 1980s to 36% in 2015 makes this change in grain production and consumption evident. In the future, with the establishment of national functional areas for grain production, the spatial pattern of grain production will return, while the demand for feed grains will continue to increase but with the space for expansion limited.

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“…The Air Pollution Prevention and Control Action Plan issued by the government in September 2013 is the most stringent atmospheric governance action plan in China’s history. Since then, the central government has promulgated a number of rules and regulations for air pollution control [ 5 ], and local governments at all levels have reached a broad consensus to break regional administrative boundaries [ 6 ] and coordinate local haze prevention and control policies [ 7 , 8 ] to jointly control air pollution.…”

Section: Introductionmentioning

confidence: 99%

Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression

2020

PLoS ONE

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Haze pollution in China is very serious and has become the source of mortality, affecting the health and lives of residents. The Chinese government adopts different policy measures to reduce haze pollution. The impact of different types of environmental regulations on haze pollution has become a hot topic for academics and government departments. Based on panel data from 2005–2017, this paper studies the effect of different types of environmental regulations on haze pollution in 30 provinces of China using a panel quantile model. The results show that when haze pollution changes from a low quantile to a high quantile, the marginal impact of command-and-control environmental regulation on haze pollution changes from 0.122 to -0.332. Command-and-control environmental regulation can reduce haze pollution, but its impact is not significant. The main reason for this finding is that environmental law enforcement is not strict. The marginal impact of economically restrained environmental regulation on haze pollution changes from -14.389 to 49.939. Economically restrained environmental regulation can reduce haze pollution in low quantiles, but not in high quantiles. The collection of sewage charges fees is far less than the total profit, which has no deterrent effect on enterprises. The marginal impact of public participation in environmental regulation on haze pollution changes from 0.154 to -0.002. Public participation in environmental regulation cannot reduce haze pollution in low quantiles, but can in high quantiles; however its impact becomes insignificant. This study reveals the quantile-based discrepancy in the effect of environmental regulation on haze pollution, and offers a new perspective for research on the effects of environmental regulation.

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Empirical analysis of the influential factors of haze pollution in china—Based on spatial econometric model

Cited by 18 publications

References 21 publications

Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach

Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach

Changes in China's Grain Production Pattern and the Effects of Urbanization and Dietary Structure

Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression

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