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ID:
186418
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| Summary/Abstract |
Existing studies that evaluate the impact of cooking with solid fuels on human beings understate the negative effect on mental health. This paper attempts to fill this gap by investigating the impact of cooking energy transition on depression and the cognitive abilities of middle-aged and elderly people. Base on a large panel data set from China, we applied several complementary methods—propensity score matching, “difference-in-differences”, and fixed-effect model to overcomes the challenges of treatment selection bias and unobserved time-invariant heterogeneity that might have prevented us from identifying the causal effect. Depression outcomes and cognitive ability are measured by the Center for Epidemiological Studies Depression Brief Scale (CES-D) and a series of high-quality cognitive tests, respectively. The results reveal that cooking energy transition can significantly reduce the CES-D index and the rate of depression and improve cognitive reasoning ability in the middle-aged and elderly but has no significant impact on cognitive memory ability. Moreover, the effect is more salient for certain groups, such as females, rural residents, southern residents and middle-income families. Finally, potential pathways through which cooking energy transition affects mental health, including physical health, social activities, labour participation and medical expenditures, are discussed.
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| 2 |
ID:
161886
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| Summary/Abstract |
China's fast economic growth in the past decades is accompanied by a rapid epidemiological transition from communicable to non-communicable diseases (NCDs). An important yet often neglected NCD is mental disorder, which accounts for 14% of global disease burden but has been paid relatively little research attention in China. This paper uses a nationally representative dataset to investigate the prevalence and correlates of depression and depressive symptoms among the adult population in China. Our results indicate that the prevalence rate of depression, estimated with the Center for Epidemiologic Studies Depression Scale (CES-D), is high (37.9% for depressive symptoms and 4.1% for depression) and unevenly distributed across regions and subpopulations. Specifically, women, older people and those who live in the central/western and rural areas are more likely to be depressed. We also find significant socioeconomic gradients in mental health: higher education and income levels are associated with lower likelihood of depression, especially among the lower socioeconomic groups. Our results indicate the urgent need for depression prevention and treatment in China (particularly in the economically less developed regions) through the expansion of primary mental health care resources and a reduction of socioeconomic inequalities.
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