Whether ecological measures have influenced the environmental Kuznets curve (EKC)? An analysis using land footprint in the Weihe River Basin, China

Dai, Yating; Zhang, Hui; Cheng, Jian; Jiang, Xin; Ji, Xiuxiang; Zhu, Dan

doi:10.1016/j.ecolind.2022.108891

Cited by 22 publications

(7 citation statements)

References 113 publications

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“…Emissions are a function of income, and there is an inverse U-shaped curve between emissions and income [ 44 ]. Based on the EKC research [ 45 , 46 , 47 ], the relationship between carbon emissions and GDP per capita (logarithm) is shown in Figure 6 during 1995–2060.…”

Section: Resultsmentioning

confidence: 99%

Dynamic Scenario Analysis of Science and Technology Innovation to Support Chinese Cities in Achieving the “Double Carbon” Goal: A Case Study of Xi’an City

Huang

Tian

2022

IJERPH

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Since the Chinese government proclaimed the “double carbon” goal in 2020, carbon emissions reduction has become an important task for the Chinese government. Cities generate more than 60% of carbon emissions. There are many challenges in achieving the “double carbon” goal for the cities of China. Science and technology innovation (STI) provides a feasible path, and the mechanism of STI influencing carbon emissions is analyzed. The STI factors, economic factors, energy factors, and population factors are studied based on the generalized Divisia index method. According to the decomposing results, science and technology innovation investment is the most important increasing factor in carbon emissions, and technology innovation investment efficiency is the most important decreasing factor, respectively. Three scenarios are set up and simulated with Monte Carlo technology evaluating the city of Xi’an in China. Under the baseline development scenario, it cannot achieve the carbon peak goal, and the uncertainty of carbon emissions increases. Under the green development scenario, it will peak in 2051, with a 95% confidence interval of 6668.47–7756.90 × 104 tons. Under the technology breakthrough scenario, the lower and median boundaries of carbon emissions peak at 4703.94 × 104 tons and 4852.39 × 104 tons in 2026, and the upper boundary peaks at 5042.15 × 104 tons in 2030. According to the Environmental Kuznets Curve theory, it will peak between 2028 and 2029 with a GDP per capita of CNY 153,223.85. However, it will fail to achieve the carbon neutrality goal by 2060, and should rely on the national carbon trading market of China to achieve the goal with a trading volume of 2524.61–3007.01 × 104 tons.

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Section: Resultsmentioning

confidence: 99%

Dynamic Scenario Analysis of Science and Technology Innovation to Support Chinese Cities in Achieving the “Double Carbon” Goal: A Case Study of Xi’an City

Huang

Tian

2022

IJERPH

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“…In addition to promoting the formation of the EKC, ER is also one factor that influences the shape of the EKC. Scholars deemed that if appropriate environmental policies are implemented, a horizontal path can be found, and even the inflection point can be reached earlier (Munasinghe, 1995;Dai et al, 2022). In terms of the intensity of ER, low-intensity ER can make the EKC flatter and the position of the inflection point lower.…”

Section: Impact Of Environmental Regulations On the Ace-kuznets Curvementioning

confidence: 99%

Robotics, environmental regulation, and agricultural carbon emissions: an examination of the environmental Kuznets curve theory and moderating effects

Li,

Chen

2024

Front. Sustain. Food Syst.

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IntroductionReducing carbon emissions from agriculture is essential to ensuring food security and human prosperity. As a country with approximately 20% of the global population, China has begun actively practicing the low-carbon agricultural development conception. Against the backdrop of disruptive technologies that continue to be integrated into various industries, the massive application of agricultural robots has opened the way to intelligent agriculture. This paper tries to answer whether there is some non-linear nexus between the application of agricultural robots and agricultural carbon emissions in China. As an essential tool for carbon emission reduction in China, does environmental regulation moderate the nexus between agricultural robot applications and agricultural carbon emissions? If so, how does this effect manifest itself?MethodsThis work takes China as an example by collecting macro-regional panel data from 30 provinces from 2006 to 2019. The environmental Kuznets curve theory is extended to agricultural carbon emissions, and we carried out empirical tests utilizing the panel fixed effects model and the moderating effects model.ResultsThis study verifies the inverted U-shaped nexus between agricultural robotics applications and agricultural carbon emissions in Chinese provinces, i.e., the agricultural carbon emissions (ACE)-Kuznets curve holds. The higher the level of formal environmental regulation, the larger the peak of the ACE-Kuznets curve and the more the inflection point is pushed back. The higher the level of informal environmental regulation, the lower the peak of the ACE-Kuznets curve and the later the inflection point.DiscussionThe findings in this paper represent the first exploration of the environmental Kuznets curve in agricultural carbon emissions. It is noteworthy that the moderating effect of formal environmental regulation does not lower the peak of the curve as we expect. This appearance is attributed to the reality that China is still in a phase of rising agricultural carbon emissions, which is exacerbated by the overlapping positive effects of agricultural robotics applications and formal environmental regulations. Informal environmental regulation is more effective than formal environmental regulation in reducing agricultural carbon emissions at this stage.

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“…Different pollutants have different turning points beyond which type of economic growth does not pressure environmental quality levels [23]. Increased economic growth has brought variations in how nature (e.g., natural resources) and the economy (economic expansion or development) are interdependent at the interface of environmental quality (e.g., levels of degradation, pollution, pressures) and sustainable development.…”

Section: Environmental Kuznets Curve (Ekc)mentioning

confidence: 99%

Can Business and Leisure Tourism Spending Lead to Lower Environmental Degradation Levels? Research on the Eurozone Economic Space

Halkos

Ekonomou

2023

Sustainability

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This study aims to investigate the impacts and identify the causal links between tourism expansion and the environment among countries of the Eurozone from 1996 to 2019 in the context of the environmental Kuznets curve (EKC). To achieve this end, we used a new set of untested tourism proxies when elaborating the EKC. We disaggregated the tourism phenomenon and highlighted its heterogenous nature by including specific and high-impact market segments such as business and leisure tourism spending as well as capital investment spending. The research findings indicate the pivotal role that tourism proxies have on environmental degradation in terms of greenhouse gas emissions (GHGs). Specifically, the identified reciprocal causalities between leisure and investment spending and environmental degradation suggest some complementarities between these variables. In the case of business tourism spending, an increase (decrease) in this variable leads to an increase (decrease) in environmental degradation. The last two feedback hypotheses indicate that the primary and final energy consumption Granger cause GHGs and vice versa. Such a result offers evidence for incorporating the concept of energy efficiency in tourism. Practical implications should motivate supply and demand dimensions within the tourism system to improve efficiency in tourism flow management. The supply side should transfer the environmental message to visitors to spend wisely and consume smarter, whereas the demand side should perform pro-environmental behavior by spending wisely and acting responsibly at destinations.

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Whether ecological measures have influenced the environmental Kuznets curve (EKC)? An analysis using land footprint in the Weihe River Basin, China

Cited by 22 publications

References 113 publications

Dynamic Scenario Analysis of Science and Technology Innovation to Support Chinese Cities in Achieving the “Double Carbon” Goal: A Case Study of Xi’an City

Dynamic Scenario Analysis of Science and Technology Innovation to Support Chinese Cities in Achieving the “Double Carbon” Goal: A Case Study of Xi’an City

Robotics, environmental regulation, and agricultural carbon emissions: an examination of the environmental Kuznets curve theory and moderating effects

Can Business and Leisure Tourism Spending Lead to Lower Environmental Degradation Levels? Research on the Eurozone Economic Space

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