Germany–China Trade: Potential and Implications

Chen, Lurong

doi:10.1142/s1793969015500028

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…Innovation-driven policy focuses on increasing investment in innovation, stimulating enterprise innovation, promoting transformation of innovation results, and optimizing innovation and entrepreneurship environment to enhance the intensity and effectiveness of innovation in all aspects of economic, scientific, technological, educational, and social development in a city [38]. A smart city pilot policy focuses on modernizing urban governance systems and capabilities through digital foundations and information technology and by using modern information technology to generate technological, configurational, and structural effects to drive innovation in urban development paths [39]. Unlike the abovementioned pilot policies, which target specific areas, the low-carbon city pilot policy is based on a city's economic and social situation, industrial characteristics, and factor endowments to formulate corresponding low-carbon development plans and comprehensively build a city development model, featuring low-carbon emissions, which includes the different types of policy tools, such as command-and-control, market-based, voluntary policies, and green financial policies, etc.…”

Section: Low-carbon City Pilot Policy Enterprise Green Innovation And...mentioning

confidence: 99%

Impact of China’s Low-Carbon City Pilot Policies on Enterprise Energy Efficiency

Xiao

Zhang

et al. 2023

Sustainability

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An increase in energy efficiency is an essential element and a powerful driving force for the in-depth implementation of the sustainable development strategies necessary in accelerating the promotion of green, circular, and low-carbon development, as well as to promote the comprehensive green transformation of economic and social development. An important question with regard to this paper is thus: can the low-carbon city pilot policy promote energy efficiency improvement, and if so, through what mechanisms? This paper uses the SBM–Malmquist–Luenberger index method to measure the green total factor energy efficiency and examines the impact and pathways of the pilot policy on the energy efficiency of enterprises, using a sample of listed manufacturing enterprises in 230 prefecture-level cities in China from 2007 to 2020. Additionally, the time-varying difference-in-differences (DID) method is approached in this paper. After replacing energy efficiency with slack-based measure directional distance function model (SBM-DDF) and conducting a series of robustness tests, this study found that the pilot policy can significantly improve the energy efficiency of manufacturing enterprises. A mechanism test shows that this policy can promote green innovation effect and agglomeration effect to improve enterprises’ energy efficiency. The low-carbon city pilot policy has contributed the most to energy efficiency through enterprise investment in green innovation and manufacturing agglomeration. Heterogeneity analysis found that policy effect differs among firms in terms of different sizes and properties, and the pilot policy plays different roles among different regions. This paper provides firm-level theoretical support and empirical evidence for evaluating low-carbon city pilot policy and offers policy recommendations.

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Section: Low-carbon City Pilot Policy Enterprise Green Innovation And...mentioning

confidence: 99%

Impact of China’s Low-Carbon City Pilot Policies on Enterprise Energy Efficiency

Xiao

Zhang

et al. 2023

Sustainability

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“…Most of the existing studies examined energy utilization efficiency and its influencing factors from the demand side. As far as energy efficiency research is concerned, Chen Zhao and Chen [21] examined the heterogeneity of energy efficiency in Chinese industrial enterprises from a micro perspective and found that the heterogeneity of energy efficiency in Chinese industrial enterprises was not conducive to the improvement of overall energy efficiency. Gao and Yue [22] further divided the energy consumption of enterprises into direct energy consumption and implicit energy consumption and found that the energy saving of Chinese enterprises in the future would mainly rely on the potential of implicit energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Quantitative Evaluation and Characteristic Analysis of Resource Allocation Efficiency of the Energy Industry in the Yangtze River Economic Belt

2022

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The resource allocation efficiency of the energy industry in the Yangtze River economic belt is related to the green and high-quality development of the region. This study constructed a quantitative model which modified from the traditional HK model to evaluate the efficiency of energy industry resource allocation. This paper makes a quantitative evaluation of the efficiency of inter-industrial and inter-regional resource allocation of the energy industry in the Yangtze River economic belt from 2000 to 2019. The results show that: the average annual loss of total factor productivity of the energy industry in the Yangtze River economic belt is as high as 25.11% due to the misallocation of resources among the energy industries, capital misallocation, labor misallocation, and intermediate input misallocation were 12.32%, 7.08%, and 5.08%, respectively. The misallocation of resources among the energy industries of the provinces in upper, middle, and lower reaches is gradually increasing in turn. The average annual loss of total factor productivity (TFP) in the energy industry of the Yangtze River economic belt is 6.5% due to the misallocation of resources between regions. Capital misallocation, labor misallocation, and intermediate input misallocation were 2.48%, 3.40%, and 0.63%, respectively. In the upper, middle, and lower reaches of the Yangtze River, the labor force, capital, and intermediate input of each province’s energy industry were misallocated to a different extent. According to the trend of resource input in the energy industry of various provinces and cities, the middle and lower reaches of the Yangtze River also show different characteristics.

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“…Second, the life-cycle theory implies that as agents smooth inter-temporal consumption, expenditure is influenced less by idiosyncratic shocks than income. Third, as conspicuous consumptions and gift-giving expenditure reflect more of one’s social status in China especially in rural areas (Chen and Zhang, 2012; Chen, 2015), studying the relationship between expenditure inequality and life satisfaction is of more practical importance.…”

Section: The Cfps Data and Major Variablesmentioning

confidence: 99%

Life satisfaction in China and consumption and income inequalities

et al. 2017

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This research uses nationally representative data to study how economic resources and inequalities are associated with life satisfaction of Chinese residents. We construct economic resource and inequality measures from expenditure rather than from income, after confirming that expenditure inequality is a better measure in the Chinese context. We find that economic inequalities in general are negatively associated with life satisfaction, and that this association is larger for inequalities in the lower half of the distribution than those in the upper half of the distribution. We further explore the mechanisms under which inequality can be associated with life satisfaction, and find that aspiration is potentially one important channel.

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Germany–China Trade: Potential and Implications

Cited by 6 publications

References 3 publications

Impact of China’s Low-Carbon City Pilot Policies on Enterprise Energy Efficiency

Impact of China’s Low-Carbon City Pilot Policies on Enterprise Energy Efficiency

Quantitative Evaluation and Characteristic Analysis of Resource Allocation Efficiency of the Energy Industry in the Yangtze River Economic Belt

Life satisfaction in China and consumption and income inequalities

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