What has caused China’s economic growth?

Guo, Jiahong; Lai, Xiaoying; Lu, Chenxi; Cao, Shixiong

doi:10.1016/j.ecosys.2022.100982

Cited by 8 publications

(4 citation statements)

References 38 publications

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“…Philippine exports to China are mostly labour‐intensive products, and an increase in trade will benefit the employment situation in the Philippines. The growing maturity of China's “Belt and Road” cooperation initiative and Philippine President Rodrigo Duterte's strong willingness to cooperate have positive significance for resolving bilateral political conflicts and promoting social stability in the Philippines (Guo et al 2022). In 2020, COVID‐19 brought great challenges to China's internal and external economic policy adjustment, resulting in high EPU.…”

Section: Resultsmentioning

confidence: 99%

Economic policy uncertainty and geopolitical risk: evidence from China and Southeast Asia

Wang,

Liu

et al. 2023

Asian-Pac Economic Lit

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This paper investigates the connectedness between China's economic policy uncertainty (EPU) and the geopolitical risk (GPR) of the countries in the Association of Southeast Asian Nations (ASEAN) using quantile time‐varying parameter vector autoregression. The empirical results indicate that China's EPU becomes a net risk transmitter at the median quantile, demonstrating that ASEAN countries' GPR is vulnerable to China's economic shocks. Furthermore, extreme events such as COVID‐19 amplify the connection between EPU and GPR, leading to a higher total connectedness index value. Moreover, the pairwise spillover effect analysis reflects that the risk launcher effect of China's EPU is longer and more prominent for Thailand and the Philippines than for Malaysia and Indonesia, which enriches the hypothesis. The contributions are as follows. This paper selects emerging China as the research object and first discusses its economic influence on neighbouring countries. In addition, fully analysing the heterogeneous spillover effects of EPU on the GPR of different countries makes our suggestions diversified and practical. Therefore, improving recognisable ability and institutional quality will promote ASEAN countries to mitigate their vulnerability to China's EPU shocks. Meanwhile, China's government should quickly respond to external uncertainties, prudently adjust economic policies, and avoid large swings of EPU volatility.

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Section: Resultsmentioning

confidence: 99%

Economic policy uncertainty and geopolitical risk: evidence from China and Southeast Asia

Wang,

Liu

et al. 2023

Asian-Pac Economic Lit

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“…The driver layer includes four elements: economic development, urbanisation process, population growth and scientific and technological innovation. D1 (GDP per capita) and D2 (per capita disposable income of urban residents) are commonly used by scholars to reflect the level of economic development [ 46 , 47 ]. D3 (total retail sales of consumption goods per capita) reflects the level of urban development from the side.…”

Section: Methodsmentioning

confidence: 99%

Urban human settlements’ resilience measurement and characteristics and their mechanism model in China

Zhou,

Ao,

Zhu

et al. 2023

PLoS ONE

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This study introduces the principle of resilience into the study of human settlements. In this study, a comprehensive evaluation model of urban human settlements’ resilience based on the provincial region of China was constructed using the Driver–Pressure–State–Impact–Response framework. The spatio-temporal evolution characteristics of urban human settlements’ resilience was explored. The influencing factors were analysed by geographical detectors, and the driving mechanism was constructed. Results show that the following. (1) The resilience level of human settlements in China continued to increase, and the resilience level of each province and city changed significantly. The overall clustering effect showed a tendency to fluctuate and weaken. The distribution of cold spot areas became less and less, and the hot spots were moving from northeast China to southeast China. (2) Significant differences existed in the intensity of the impact of different indicators on the resilience system. The value of the impact factor showed an overall upward trend, and the number of key impact factors increased. (3) Improving the ability of scientific and technological innovation, accelerating the transformation and upgrading of the regional economy, increasing the training of talents and making financial inclination in scientific and technological development and industrial pollution control were all important ways for developing and maintaining the resilience of urban human settlements. This study not only introduces a new evaluation of urban human settlements from the perspective of resilience but also explores key impact indices and driving mechanisms, which provides new ideas for studying urban human settlements.

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“…In the fall of 2013, the central government issued the Air Pollution Prevention and Control Action Plan (APPCAP), known as the rst and most ambitious policy, which includes 3 goals aiming to take care of air pollution comprehensively (Yu et al 2022; Greenstone, He, and Lee, n.d.). Similar to the unprecedented achievements in economy growth (Guo et al 2022; Mcmillan and Naughton 1992), remarkable improvements in air quality has been achieved with life expectancy increase by 2.3 years(Greenstone and Schwarz, n.d.). Subsequently, an APPCAP plus, known as the Blue Sky Defense Battle (2018-2020), was issued to implement strengthened enactments in various sectors, including industry, energy, transportation and land-use(Y.…”

Section: Introductionmentioning

confidence: 93%

Policy attention drives PM2.5 concentration reduction in China: evidence from spatial econometric analysis

Yang,

Li,

Chu

et al. 2023

Preprint

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This article examines the relationship between government policy attention and air quality improvement in 285 Chinese cities between 2014 and 2019. We use the frequency of environmental-related vocabulary in annual government reports as an indicator of policy attention and employ a spatial panel model to quantify the impacts of policy attention on PM2.5 concentration reduction. This study attempts to explore the key driving factor from the perspective of government’s motivation and behavior and reveal the effectiveness difference by identifying heterogeneity derived from region endowment discrepancy. Our results demonstrate that environmental policy attention has a significant negative effect on PM2.5 concentration, both directly and indirectly. This study testifies the mechanism behind the effect that policy attention promotes green innovation by affecting relevant enterprises’ expectations and formulating incentive policies, which partially contributes to pollution control and PM2.5 concentration reduction.

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What has caused China’s economic growth?

Cited by 8 publications

References 38 publications

Economic policy uncertainty and geopolitical risk: evidence from China and Southeast Asia

Economic policy uncertainty and geopolitical risk: evidence from China and Southeast Asia

Urban human settlements’ resilience measurement and characteristics and their mechanism model in China

Policy attention drives PM2.5 concentration reduction in China: evidence from spatial econometric analysis

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