How many villages in Shanxi have photovoltaic facilities?

6,602 villages in Shanxi have operated photovoltaic facilities which contribute to community revenue. Autumn is the best season of the year in Shilou county, Shanxi province, when the sky turns to the color of enamel blue and stretches to the horizon.

Does community management influence household adoption of rooftop solar photovoltaics in rural China?

This paper examines inequality in household adoption of rooftop solar photovoltaics in rural China through a qualitative study of three villages. The Chinese government promotes distributed solar to drive low-carbon development. However, community management and China’s institutional system influence unequal access.

How many households in Jiangsu have a rooftop PV system?

For example, Village Z in Jiangsu Province has 32 households. In 2017, the local power company planned free rooftop PV installation for 25 households, but only 23 were ultimately installed. Of the 9 non-adopters, 2 lacked suitable roofs, while others declined over roof damage or absentee concerns.

Which villages in China have a PV project?

Given the extensive piloting in these provinces, we chose three villages for fieldwork. Village S in Weifang City, Shandong, known as the “first PV village”, has enterprise-funded PV. Village Z in Nanjing City, Jiangsu has government-funded PV. Village Q in Nanjing has resident-funded PV.

Do community-level support and household resources affect photovoltaic adoption?

We find that structural opportunities provided by communities and households’ own resource endowments have an additive effect on adoption. This highlights the need to consider both community-level support and household resources when evaluating photovoltaic adoption and energy justice.

How can village committees improve photovoltaic adoption?

Families with larger roof areas can install multiple photovoltaic sets and garner more rent. In this mode, village committee involvement can effectively mitigate constraints on photovoltaic adoption such as lack of energy services provided by enterprises and imperfect information mechanisms (Kiprop et al. 2019; Kowalska-Pyzalska 2017).