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Promoting the formation of the green lifestyle (GL) is a crucial step in achieving comprehensive green transformation of urban economic and social development. The widespread adoption of GL is influenced by various environmental regulations. Previous research mainly focused on the impact of individual policies on GL from the single policy perspective. The mechanisms of the combined effects of policies have not been thoroughly explored, particularly the contributions of each policy during periods of overlap. This paper takes the dual-policy of the New-type Urbanization Policy (NUP) and Smart City Policy (SCP) in China as an example. It employs panel data collected from 271 cities in China during 2007–2019 and establishes a multi-period difference-in-difference model to identify the combined effects of the dual-policy on residents' GL. Additionally, the Shapley value decomposition method is utilized to identify the contribution magnitude of each policy when they act simultaneously. The following conclusions are yielded. Firstly, the combined effects of dual-policy are more effective than a single policy in influencing residents' GL. Secondly, the Shapley value decomposition method reveals that when both policies are simultaneously implemented, SCP contributes a greater weight compared to NUP. Thirdly, the dual-policy can promote residents' adoption of GL through mechanisms such as green technological innovation, public participation in environmental protection, and the agglomeration of tertiary industries. Fourthly, the impact of dual-policy on residents' GL varies across different types and sizes of cities. This study attempts to unseal the "black box" of how the dual-policy influences residents' GL during the green transformation of cities in China, providing theoretical references for relevant urban policies in other countries and contributing to Chinese solutions and experience to global urban green development. • The dual-policy of NUP and SCP can jointly promote residents' green lifestyle. • The weight of SCP's contribution is higher than NUP's by the Shapely value method. • It explored three potential channels between the dual-policy and GL. • There are heterogeneous effects of dual-policy on GL in different types of cities. [ABSTRACT FROM AUTHOR]

It is an urgent challenge to coordinate industrialization and air quality in China since the rapid industrialization over the past forty years caused serious air pollution. In this paper, we measured the industrialization levels of the 31 regions in China from 2003 to 2017 as a sum of per capita gross domestic product (GDP), urban population (% of total), tertiary vs. secondary industry output ratio, non-agricultural output value (% of GDP), non-agricultural employment proportion, and the proportion of added value of manufacturing in the total added value of commodity. We measured air quality as a sum of annual SO 2 , NO 2 and PM 10 concentrations. In general, the industrialization level continuously increased while air pollution was reduced in spite of some fluctuations in China. Our results show air pollution presented N-shape relations with the industrialization level in China in the periods from 2003 to 2008, 2009 to 2013, and 2014 to 2017. Air pollution increases as the industrialization occurs but later deceases as the industrialization level improves. However, air pollution rebounds as the industrialization moves further but this rebound became weaker in recent years. With the association rule mining, we identified ranges of the six indicators for industrialization associated with good and poor air quality, respectively. Using industrialization indicators associated with poor air quality as references, we pointed out differentiated strategies for regions to coordinate the industrialization and air quality protection. • We analyzed industrialization progress & air quality from 2003 to 2017 in China. • Air pollution in China exhibits N-shape relations with industrialization level. • We mined association rules between industrialization indicators and air quality. • Summary of industrialization indicator ranges associated with good/poor air quality. • Differential strategy by region to coordinate development & air quality protection. [ABSTRACT FROM AUTHOR]

Household consumption activities affect energy and water consumption directly and indirectly. Based on input-output modeling, this paper divided Chinese urban and rural residents into 12 groups, and investigated the impact of the consumption activities of residents with different levels of income on China's energy and water consumption from the perspective of consumers. Two main results were found. 1) In 2012, the energy consumption caused by the consumption activities of the highest-income urban residents accounted for 17.3% of the total energy consumption. For water resources, the per capita water withdrawal and consumption of the highest-income urban residents reached 481.21 m3 and 284.45 thousand m3, 6 times more than that of the low-income rural residents. 2) We identified medium and medium-high income urban residents as the key groups of residents. From the perspective of the industrial sectors, the key sectors for high energy consumption and water usage included the Electricity and Agricultural sectors, and we identified the Electricity sector as the key sector for the water and energy nexus of the residential sectors. The conclusions of this paper have pertinence for policymaking, and they provide an appropriate policy basis for guiding residents' energy and water consumption. • Energy and water usage caused by household consumption in China is investigated. • Chinese urban and rural residents in input-output table are divided into 12 groups. • Energy consumption caused by the highest-income urban residents accounted for 17.3%. • Water usage of the highest-income urban residents is 6 times more than that of the low-income rural residents. • Electricity sector as the key sector for the water and energy nexus of the residential sectors. [ABSTRACT FROM AUTHOR]

Low-carbon pilot cities can break the lock-in effect of living carbon emissions, which are an important strategic component of China's response to climate change. Current research on low-carbon pilot cities focuses on the production field. Insufficient attention has been paid to whether low-carbon pilot cities can promote the green transformation of residents' lifestyle. Using panel data of 285 cities in China from 2004 to 2016, this study explores the inducing effect of low-carbon pilot cities on residents' low-carbon choices from holistic and single-dual perspectives based on the difference-in-differences method and the synthetic control method. This study finds that low-carbon pilot cities can promote the green transformation of residents' lifestyle, and this policy has reduced living carbon emissions by approximately 15.3%. The transmission mechanisms are mainly green life consciousness and green habits. The conclusion considers the effects of multi-pilot policies and other living differences during the parallel period and is still valid after robustness testing using propensity score matching difference-in-differences. In addition, the policy has a snowball effect, and is stronger in larger cities. Ultimately, this paper provides useful information for the scientific implementation of carbon emission reduction plans in the field of residents' living and the improvement of the long-term mechanism of pilot cities with both quality and quantity guaranteed. • Low-carbon pilot cities (LCPCs) induce residents to make low-carbon choices. • LCPCs have reduced living carbon emissions by approximately 15.3%. • LCPCs can coexist with other policies to achieve CO 2 reduction. • The mechanisms are mainly green consciousness and green habits. [ABSTRACT FROM AUTHOR]