The Impact of Energy Consumption Revolution on Farmers' Happiness: An Empirical Analysis From China

Xu, Zhiyao; Ge, Rong

doi:10.3389/fpubh.2022.778002

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…This study has the following shortcomings, including the fact that although the indicator of perceived depression in this paper is also widely used in the existing literature, [106][107][108][109][110] it may not be the most effective measure of depression. To enhance the study's findings, it would be beneficial to incorporate other depression indexes based on more reliable scales, as this would enable a more comprehensive understanding of depression within the context of the study, leading to more accurate and reliable conclusions.…”

Section: Limitationmentioning

confidence: 99%

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population

Li¹,

Li²,

Liu³

et al. 2023

PRBM

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Purpose Existing studies on the association between BMI and depression report conflicting results with some demonstrating a positive relationship, while others a negative link or insignificant correlation. Very limited research on the nonlinear relationship between BMI and depression has yet to clarify the reliability and robustness of the potential nonlinearity and whether a more complex association exists. This paper aims to systematically investigate the nonlinear relationship between the two factors applying rigorous statistical methods, as well as explore the heterogeneity of their association. Materials and Methods A large-scale nationally representative dataset, Chinese General Social Survey, is used to empirically analyze the nonlinear relationship between BMI and perceived depression. Various statistical tests are employed to check the robustness of the nonlinearity. Results Results indicate that there is a U-shaped relationship between BMI and perceived depression, with the turning point (25.718) very close to while slightly larger than the upper limit of the range of healthy weight (18.500 ≤ BMI < 25.000) defined by World Health Organization. Both very high and low BMIs are associated with increased risk for depressive disorders. Furthermore, perceived depression is higher at almost all BMI levels among individuals who are older, female, lower educated, unmarried, in rural areas, belonging to ethnic minorities, non-Communist Party of China members, as well as those with lower income and uncovered by social security. In addition, these subgroups have smaller inflection points and their self-rated depression is more sensitive to BMI. Conclusion This paper confirms a significant U-shaped trend in the association between BMI and depression. Therefore, it is important to account for the variations in this relationship across different BMI categories when using BMI to predict depression risk. Besides, this study clarifies the management goals for achieving an appropriate BMI from a mental health perspective and identifies vulnerable subgroups at higher risk of depression.

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Section: Limitationmentioning

confidence: 99%

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population

Li¹,

Li²,

Liu³

et al. 2023

PRBM

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“…Overall, this study illustrates the psychological processes that underlie how power affects happiness and mental illness from a coping viewpoint. Xu and Ge (2022) tested the revolution energy consumption impact on farmer's happiness with empirical analyses in the case of China. The authors studied both direct and indirect effects and the results showed that farmers' happiness has grown by 22.7% thanks to the revolution in rural energy usage, furthermore through the mediating effect of more leisure time, the revolution in rural energy use has marginally raised farmers' happiness; but, the impact of higher use costs on the satisfaction of low-income farmers was virtually significant.…”

Section: Happiness and Electricity Consumptionmentioning

confidence: 99%

Quantile and Threshold Effect of Electricity Consumption on Happiness in Central Asia

Kuziboev,

Vlach,

Rajabov

et al. 2024

IJEEP

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The study for the 1st time examines electricity-happiness nexus in Central Asia over the period 1996-2022 employing Panel methods such as Quantile and threshold regressions. The findings document that the association between electricity and happiness is negative in general. However, the results reveal that economic development stage plays a crucial role in the context of electricity-happiness nexus. More specifically the negative effect of electricity on happiness decreases as economic development grows. Policy implications that focus on developing the economies in a sufficient level to achieve stable electricity supply and transition on renewable energy, should be encouraged consequently the rate of happiness will increase in Central Asian region.

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“…The main explained variable in this paper is the individual's happiness level, which is used in may existing studies (69)(70)(71)(72)(73)(74)(75)(76)(77)(78)(79)(80). This measure is derived from the respondent's response to the question in CGSS: "Do you feel that you are generally happy in your life?"…”

Section: Measuresmentioning

confidence: 99%

Does exercise participation promote happiness?: Mediations and heterogeneities

Ning²,

Xia³

2023

Front. Public Health

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This paper uses a nationally representative and large-scale dataset from China to empirically examine the relationship between exercise participation and happiness. To address the problem of reverse causality between the two factors, the instrumental variable (IV) approach is used to deal with endogeneity to some extent. It is demonstrated that higher frequencies of exercise participation are positively related to happiness. Findings also demonstrate that physical exercise could significantly decrease depressive disorders, improves self-rated health conditions and reduces the frequency of health problems affecting people's work and life. At the same time, all of above health factors significantly influence subjective wellbeing. When these health variables are included in regressions, the correlation between exercise participation and happiness declines. This confirms that physical activity helps to improve happiness by enhancing mental and overall health conditions. In addition, results show that physical activities are more prominently related to happiness for male, older and unmarried individuals and those living in rural areas, lacking social security and with higher levels of depression as well as lower socioeconomic status. Furthermore, a series of robustness checks are carried out and exercise participation's positive role in improving happiness is further confirmed using different happiness measures and instrumental variables, various IV models, as well as penalized machine learning methods and placebo tests. With the increasing emphasis of improving happiness as an important goal in the global public health policy, findings of this paper have important policy implications for enhancing subjective wellbeing.

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The Impact of Energy Consumption Revolution on Farmers' Happiness: An Empirical Analysis From China

Cited by 5 publications

References 17 publications

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population

Quantile and Threshold Effect of Electricity Consumption on Happiness in Central Asia

Does exercise participation promote happiness?: Mediations and heterogeneities

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