India’s urbanising middle class is at the brink of an unprecedented increase in residential cooling demand, yet little is understood about the dynamics of changing cooling consumption. Based on empirical analyses, this research examines a set of fundamental questions around India’s cooling transition. How is cooling conceptualised and what cooling strategies do households use? How, when and why are people purchasing and using their air conditioners (ACs)? Who is buying energy-efficient ACs? Is cooling consumption gendered? Using descriptive statistics, machine learning, and regression analysis to characterize AC usage, we examine a sample dataset (n = 2092) that is representative of areas in Delhi with above average AC penetration. We unpack perceptions of thermal comfort, and characterize the conditions under which households have greater AC use and make energy efficient purchase choices. AC usage is found to be a function of household habits (such as exposure to ACs in the workplace or schools), structural factors, and socio demographic features. While most ACs are in the middle energy-efficiency range, preferences, behaviours and awareness around energy efficiency are found to affect AC use as well as influence the purchase of more efficient ACs. Notable gender differences are observed, and women are found to be less involved in decision-making around cooling appliances and less aware of the technical know-how or energy-efficient schemes. Policy recommendations for a low-carbon cooling trajectory are discussed.

In this article, we analyse the reasons for low female labour force participation (FLFP) across approximately 14,000 households in the Indian urban clusters of Dhanbad, Indore, Patna and Varanasi. We argue that expectations placed upon women to carry out household duties generate incentives for them to largely seek part-time work near their homes, due to what we term as flexibility and proximity of work. While this characterises most agricultural employment, this is not true of urban employment. Using this framework, we argue that requirements to travel large distances for most jobs put prohibitive costs on women entering the labour market. To empirically test our claims, we conduct a survey experiment on the female respondents who are currently unemployed in our sample to elicit labour market preferences. Our results are striking—women are 12 to 23 percentage points less likely to express a preference for a suitable job if they have to travel one hour to work. The magnitude of these effects is far greater than the impact of the primary wage earner of the household losing their job or other family members assisting the woman in household duties. We conclude the article by discussing the implications for policy.

In this article, we seek to understand the role of media and non-media personal networks in generating the opportunity for women to express political preferences that are different from men within the household—what we call partisan disagreement—using a survey of over 6,000 households in the Indian urban clusters of Patna and Dhanbad. We demonstrate a significant gender gap in both mobile phone ownership and media access among working age women. Due to low media access among women, we find that partisan disagreement is most likely when women have access to personal networks outside of the household, either due to employment or an opportunity to travel outside the home. For instance, women engaged in agricultural labour are 8 to 9 percentage points more likely to demonstrate partisan disagreement than unemployed women. While access is still low among women, men and women display similar patterns of social media usage. We suggest that this is due to the fact that social media can be consumed privately without family interference and highlight the potential of social media to reduce gender gaps in media access as mobile phone penetration and levels of education grow in India.

No abstract