Do economic activities cause air pollution? Evidence from China’s major cities

Zhu, Li; Hao, Yu; Lu, Zhi‐Nan; Wu, Haitao; Ran, Qiying

doi:10.1016/j.scs.2019.101593

Cited by 224 publications

(78 citation statements)

References 60 publications

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“…VECM is an econometric model that includes an examination of dynamic comovement among variables and the adjustment process toward long-term equilibrium. VECM is different from VAR as it can only be constructed when there is a cointegration relationship between variables (Zhu et al, 2019). If the lower and upper bounds of interval-valued time series are cointegrated, then VECM can be developed to examine the long-term and short-term interactions between the lower and upper bounds.…”

Section: Interval-valued Time Seriesmentioning

confidence: 99%

A hybrid model considering cointegration for interval‐valued pork price forecasting in China

Zhang

Mugera

et al. 2020

Journal of Forecasting

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Compared with point forecasting, interval forecasting is believed to be more effective and helpful in decision making, as it provides more information about the data generation process. Based on the well-established "linear and nonlinear" modeling framework, a hybrid model is proposed by coupling the vector error correction model (VECM) with artificial intelligence models which consider the cointegration relationship between the lower and upper bounds (Coin-AIs). VECM is first employed to fit the original time series with the residual error series modeled by Coin-AIs. Using pork price as a research sample, the empirical results statistically confirm the superiority of the proposed VECM-CoinAIs over other competing models, which include six single models and six hybrid models. This result suggests that considering the cointegration relationship is a workable direction for improving the forecast performance of the interval-valued time series. Moreover, with a reasonable data transformation process, interval forecasting is proven to be more accurate than point forecasting.

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Section: Interval-valued Time Seriesmentioning

confidence: 99%

A hybrid model considering cointegration for interval‐valued pork price forecasting in China

Zhang

Mugera

et al. 2020

Journal of Forecasting

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“…In order to eliminate the influences of different indicators' magnitudes, dimensions, and characters, the data were normalized by Equations (1) and (2) [4,26,28].…”

Section: Data Pre-processingmentioning

confidence: 99%

“…With the acceleration of industrialization and urbanization in China, the motor vehicle exhaust emission has increased rapidly, resulting in increasingly serious regional air pollution problems. Extensive and persistent haze weather occurs more and more frequently, especially in economically-developed urban agglomerations with high urban density and concentrated energy consumption, such as the Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin-Hebei region [1][2][3]. Therefore, it is a common focus of the current society and academia to explore the mechanisms of social and economic factors influencing urban air environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

et al. 2020

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Under the dual pressure of industrial structure upgrade and atmospheric environment improvement, China, in a transition period, is facing the challenge of coordinating the relationship between the industry and the environment system to promote the construction of a beautiful China. Based on system theory and coupling coordination model, the interaction analysis framework between industrial structure (IS) and atmospheric environment (AE) was constructed. An integrated system with 24 indicators was established by the pressure-state-response (PSR) model of IS and level-quality-innovation (LQI) model of AE. Then, we analyzed trends observed in coupling coordination degree (CCD) and dynamic coupling coordination degree (DCCD) for 11 cities in Zhejiang Province, China, using statistical panel data collected from 2006 to 2017. Conclusions were as follows: (1) the 11 cities' comprehensive level of the IS system shows a trend of stable increase, yet the comprehensive level of AE demonstrated a trend of fluctuation and transition. There are significant spatial variations among cities; (2) The CCD analysis results found that Hangzhou, Ningbo, and Wenzhou take the lead in realizing the transformation from barely coordinated development to superior coordinated pattern, while other cities were still in the stage of barely coordinated development; (3) the DCCD phase of 11 cities can be roughly divided into three types: upgraded-utmost development type (only Hangzhou), stable-harmonious development type (Wenzhou, Lishui, and Zhoushan) and transitional-harmonious development type (the remaining seven cities). This means, for most cities, the contradiction between the transformation process of IS and the AE has become increasingly prominent and intensified. Finally, three necessary and sustainable strategies were proposed to environmental policy makers.

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“…Several studies have been devoted to researching relationship between employment and health related issues. Research results in China (Zhu, et al, 2019) have indicated that there is an evidence that economic activity -such as foreign trade, economic growth and industrial structure increase smog concentration in China. Another study in 16 European Union countries (Niedzwiedz, et al, 2019) was exploring regional employment and individual worklessness and the health of the working-age population and revealed that higher levels of employment in the regional labour market may be beneficial for the health of the local population.…”

Section: Employment Differences In Latvia: Theoretical Frameworkmentioning

confidence: 99%

Economic Activity in Context of Regions, Education Level, Age Group and Gender: Case of Latvia

Sloka¹,

Čipāne²

2019

JEMR

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In the National Development Plan of Latvia 2014-2020 it is written that society is aware that social, regional and opportunity inequalities can be reduced by a high overall employment rate in which everyone seeks for productivity. High employment rate is important not only for decreasing inequalities in country, but also for promoting economic growth. There have always been employment challenges in Latvia that are complex and insufficiently researched in academic research. The aim of the study is to analyse economic activity in Latvia by regions, education level, age group and gender. Research methods used in preparation of the article: scientific publication and previous conducted research results analysis, analysis of Labour Force Survey results (in 2014-2017) which are compared with the results of other European Union and OECD countries. Survey results are analysed using indicators of descriptive statistics (indicators of central tendency or location -arithmetic mean, mode, median), indicators of variability (indicators of dispersion -range, standard deviation and standard error of mean), cross-tabulations by regions in Latvia, by level of education, by age group, by gender and analysis of variance -ANOVA are used. The results of analysis indicated that the highest unemployment rate is in Latgale region and the higher the level of education, the less likely it is to be unemployed in Latvia.

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Do economic activities cause air pollution? Evidence from China’s major cities

Cited by 224 publications

References 60 publications

A hybrid model considering cointegration for interval‐valued pork price forecasting in China

A hybrid model considering cointegration for interval‐valued pork price forecasting in China

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

Economic Activity in Context of Regions, Education Level, Age Group and Gender: Case of Latvia

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