Impact of non-renewable energy and natural resources on economic recovery: Empirical evidence from selected developing economies

Yu, Chenyang; Moslehpour, Massoud; Tran, Trung Kien; Trung, Lam Minh; Ou, Jenho Peter; Tien, Nguyen Hoang

doi:10.1016/j.resourpol.2022.103221

Cited by 62 publications

(18 citation statements)

References 50 publications

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“…From the evolution characteristics of the sub-functions of land use, it is evident that the resource supply function in the EF of the entire YRDUA gradually decreased. This could be attributed to the extraordinary period of economic growth experienced by China since its economic reforms in 1978 because the economic recovery of most countries is dependent on the exploitation of natural resources [46]. The gradual acceleration of industrialization, trade, and urbanization stimulated the rapid development of China's economy.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Distributions of Multiple Land Use Functions and Their Coupling Coordination Degree in the Yangtze River Delta Urban Agglomeration, China

Wang

Zhang

et al. 2023

Sustainability

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In order to gain a comprehensive understanding of land system changes and regional sustainable development, it is crucial to explore the spatiotemporal distributions of multiple land use functions (LUFs). Therefore, herein, considering the Yangtze River Delta urban agglomeration (YRDUA) as the research object, we constructed an evaluation system based on the perspective of production–living–ecological (PLE) land functions. Furthermore, the coupling coordination model, kernel density curve, trend surface analysis, and spatial autocorrelation model were used to examine the spatial and temporal characteristics of LUFs and their coupling coordination and analyze the spatial clustering of the coupling coordination effect in the urban agglomeration from 2005 to 2020. The following results were obtained: The level of PLE functions and its coupling coordination degree in the YRDUA have been improved in the study period, and the distribution of high value areas of different functions is diverse. In terms of the spatial distribution of the coupling coordination degree, the high value areas of production function (PF)–living function (LF) is distributed in “clusters”, the PF–ecological function (EF) demonstrated a single-polarized development structure, and the LF-EF exhibited a multi-core structure. The coupling coordination of the LUFs demonstrated a “high in the east and low in the west” pattern in the east–west direction and an inverted “U” shape in the north–south direction. Moreover, both high-value and low-value areas exhibited a clustering phenomenon, with an evident spatial positive correlation. The results of this study can serve as a reference for the integrated socioeconomic development of the Yangtze River Delta region and the sustainable development of urban land use.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Distributions of Multiple Land Use Functions and Their Coupling Coordination Degree in the Yangtze River Delta Urban Agglomeration, China

Wang

Zhang

et al. 2023

Sustainability

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“…To deal with these problems, governments can take some steps to help the economy recover in a way that is good for the environment (Yu et al 2023 ). First, they can give green investments more importance in their fiscal stimulus plans.…”

Section: Literature Reviewmentioning

confidence: 99%

Financial stability influence on climate risk, GHG emission, and green economic recovery of China

Liu

2023

Environ Sci Pollut Res

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This study examines the nexus between financial stability, climate risks, GHG emission mitigation, and green economic recovery of China. Financing efforts to protect against and reduce the hazards associated with climate change need to consider these risks and resources. Study used the Kalman technique of analysis for empirical inference. This research focuses on the carbon risk in China by employing a Kalman estimation approach. Although environmental mitigation was found to be important at 39%, financial strength and carbon hazards were considerable at 34%. Moreover, the report demonstrates the relationship between climatic threats and environmental drift in China, at a rate of 17%, emphasizing the need to address climate change issues. A state’s fiscal health guarantees national economic security while pursuing green economic recovery initiatives. Researchers concluded that precise policy suggestions were needed to promote green economic development.

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“…With the continuous development of science and technology, traditional energy causes some environmental problems, and it also has unsustainable development characteristics, which has made people have a strong interest in renewable energy [1][2][3]. Electric vehicles have become the main direction of developing new energy vehicles due to their advantages of environmental protection, low noise, zero emissions, and high energy conversion efficiency [4].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Device-level Load Dynamic Adjustment System for Electric Vehicles

Huang,

Liu,

Meng

et al. 2023

J. Phys.: Conf. Ser.

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The development of electric vehicles is an important means to deal with the energy crisis, relieve environmental pressure, and achieve sustainable development. The rapid growth of electric vehicle ownership brings great challenges to the planning and safe and stable operation of the power system. To ensure the stable operation of the power grid and meet the changing needs of users to the greatest extent in the case of extreme power shortage and demand response, it is necessary to dynamically adjust the power of charging piles according to the actual situation. At present, many operators cannot accurately and dynamically control the power of each charging pile in the station in the face of power limit demand, so they can only turn off some or all charging piles, which not only affects the charging experience of users but also leads to the decline of operators’ reputation and profits. To solve the above problems, this paper proposed a charging load dynamic adjustment system, which uses the TCN model based on similar days to predict the charging load. It proposed a load decomposition algorithm to control the device-level charging load. Experiments show that the load prediction model used in this system has higher accuracy than LSTM, and the load decomposition algorithm can reasonably allocate limited load resources, which means the system can meet the user’s charging demand to the greatest extent while meeting the power limit demand and improve the user experience.

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Impact of non-renewable energy and natural resources on economic recovery: Empirical evidence from selected developing economies

Cited by 62 publications

References 50 publications

Spatiotemporal Distributions of Multiple Land Use Functions and Their Coupling Coordination Degree in the Yangtze River Delta Urban Agglomeration, China

Spatiotemporal Distributions of Multiple Land Use Functions and Their Coupling Coordination Degree in the Yangtze River Delta Urban Agglomeration, China

Financial stability influence on climate risk, GHG emission, and green economic recovery of China

Design and Implementation of Device-level Load Dynamic Adjustment System for Electric Vehicles

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