The environmental sustainable development goals and economic growth: an empirical investigation of selected SAARC countries

Shakoor, Abdul; Ahmed, Roohi

doi:10.1007/s11356-023-30483-y

Cited by 2 publications

(1 citation statement)

References 62 publications

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“…Compared to sustainable development, sustainability focuses more on the ability to explain things, that is, to fill in more specific and rich information within the framework of sustainable development. Under the framework of the United Nations Sustainable Development Goals, globalization, technological innovation, trade openness, and renewable energy consumption have all played prominent roles in improving environmental quality and promoting ecological sustainability [ 12 , 13 ]. Among them, green finance has a positive effect on sustainable economic growth [ 14 ], and opening up undertakings in the dimensions of economy, trade and culture, such as the One Belt and Road Initiative, also have a positive impact on the realization of sustainable economic, social and cultural goals in relevant regions [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Regional population and social welfare from the perspective of sustainability: Evaluation indicator, level measurement, and interaction mechanism

Wang,

Li,

et al. 2024

PLoS ONE

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Key to regional sustainable development are the development and interplay of population dynamics and social welfare, each playing a significant role. As a representative region with demographic characteristics such as negative population growth and large labor outflow, the development and interaction between population and social welfare in Nanchong deserve in-depth exploration. This article takes the development of population and social welfare in Nanchong as the research object, and constructs an evaluation indicator system of population and social welfare through research backtracking, and uses entropy method and coupling coordination model to measure the development level and interactive effect of population and social welfare in Nanchong from 2010 to 2021. The research results show that: Firstly, the comprehensive evaluation results of population in Nanchong shows a linear upward trend, which indicates the stable positive effect of population structure and distribution, the gradual improvement effect of population quality effectively compensate for the weakening effect of population quantity, thus achieving the positive development of population. Secondly, the comprehensive evaluation results of social welfare in Nanchong shows an exponential upward trend, which indicates the social welfare has maintained a rapid growth momentum in various dimensions and the long-term positive effects have completely absorbed the negative effects, thus achieving the positive development of social welfare. Thirdly, during the sample period, the population and social welfare in Nanchong consistently maintained a high level of interaction strength, with factors diffusing and integrating. On this basis, the diffusion theory is used as an empirical reference to construct three interactive mechanisms between the population and social welfare in Nanchong and the implications are inferred from the empirical results.

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Section: Introductionmentioning

confidence: 99%

Regional population and social welfare from the perspective of sustainability: Evaluation indicator, level measurement, and interaction mechanism

Wang,

Li,

et al. 2024

PLoS ONE

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Assessing inflation and greenhouse gas emissions interplay via neural network analysis: a comparative study of energy use in the USA, EU, and China

AlShafeey,

Saleh Saleh

2024

Environ Sci Eur

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This study examines the relationship between inflation and greenhouse gas (GHG) emissions in three major economies: the United States of America (USA), the European Union (EU), and China. The analysis spans from 1960 to 2021 for the USA and EU, and from 1971 to 2021 for China. A feedforward neural network model, optimized using the Levenberg–Marquardt backpropagation algorithm, was employed to predict GHG emissions based on annual inflation rates and fossil fuel energy consumption. The study integrates historical data on inflation trends with GHG emissions, measured in CO2 equivalents, and fossil fuel energy consumption, expressed as a percentage of total energy use. This multidimensional approach allows for a nuanced understanding of the economic-environmental interplay in these regions. Key findings indicate a nonlinear response of GHG emissions to inflation rates. In the USA, GHG emissions begin to decrease when inflation rates exceed 4.7%. Similarly, in the EU, a steep reduction in emissions is observed beyond a 7.5% inflation rate. China presents a more complex pattern, with two critical inflection points: the first at a 4.5% inflation rate, where GHG emissions start to decline sharply, and the second at a 7% inflation rate, beyond which further increases in inflation do not significantly reduce emissions. A critical global insight is the identification of a uniform inflation rate, around 4.4%, across all regions, at which GHG emissions consistently increase by 1%, hinting at a shared global economic behavior impacting the environment. This discovery is vital for policymakers, emphasizing the need for tailored regional strategies that consider unique economic structures, energy policies, and environmental regulations, alongside a coordinated global approach.

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The environmental sustainable development goals and economic growth: an empirical investigation of selected SAARC countries

Cited by 2 publications

References 62 publications

Regional population and social welfare from the perspective of sustainability: Evaluation indicator, level measurement, and interaction mechanism

Regional population and social welfare from the perspective of sustainability: Evaluation indicator, level measurement, and interaction mechanism

Assessing inflation and greenhouse gas emissions interplay via neural network analysis: a comparative study of energy use in the USA, EU, and China

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