Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis
Solar photovoltaic (PV) has become the fastest-growing new energy in China and one of the main contributors to China’s clean energy transition. From 2013 to 2019, China’s solar PV installed capacity grew from 15,890 MW to 204,180 MW, increasing by 11.85 times. To explore solar PV investment changes...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/19/6418 |
| _version_ | 1797516609118535680 |
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| author | Ruxu Sheng Juntian Du Songqi Liu Changan Wang Zidi Wang Xiaoqian Liu |
| author_facet | Ruxu Sheng Juntian Du Songqi Liu Changan Wang Zidi Wang Xiaoqian Liu |
| author_sort | Ruxu Sheng |
| collection | DOAJ |
| description | Solar photovoltaic (PV) has become the fastest-growing new energy in China and one of the main contributors to China’s clean energy transition. From 2013 to 2019, China’s solar PV installed capacity grew from 15,890 MW to 204,180 MW, increasing by 11.85 times. To explore solar PV investment changes across China regions, we use spatial shift-share analysis model to decompose solar PV investment changes from 2013 to 2019 into four components: national energy investment growth effect (NEG), national energy investment structure effect (NES), neighbor–nation solar PV investment competitive effect (NNC), and region–neighbor solar PV investment competitive effect (RNC). Based on the decomposition results, we find that the value of NNC of most western provinces is negative for the entire period, while the NNC of most central and eastern provinces is in the middle and lower range. There is little difference in RNC among these regions. While comparing the influence caused by the four effects, NNC and RNC play dominant roles in solar PV investment changes in eastern and central provinces, which means NEG and NES have relatively small impacts. By contrast, NEG and NES affect the solar PV investment changes at a larger scale in most western provinces. Comparing the NNC and RNC, we find that RNC played a prominent role in the eastern and central regions, while NNC played a dominant role in the west. |
| first_indexed | 2024-03-10T07:03:16Z |
| format | Article |
| id | doaj.art-e05c54d86ab34a72822959fc832e1999 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T07:03:16Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e05c54d86ab34a72822959fc832e19992023-11-22T16:04:05ZengMDPI AGEnergies1996-10732021-10-011419641810.3390/en14196418Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share AnalysisRuxu Sheng0Juntian Du1Songqi Liu2Changan Wang3Zidi Wang4Xiaoqian Liu5School of Public Policy and Management, Tsinghua University, Beijing 100084, ChinaSchool of Public Policy and Management, Tsinghua University, Beijing 100084, ChinaSchool of Public Policy and Management, Tsinghua University, Beijing 100084, ChinaResearch Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu 611130, ChinaSchool of Public Policy and Management, Tsinghua University, Beijing 100084, ChinaResearch Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu 611130, ChinaSolar photovoltaic (PV) has become the fastest-growing new energy in China and one of the main contributors to China’s clean energy transition. From 2013 to 2019, China’s solar PV installed capacity grew from 15,890 MW to 204,180 MW, increasing by 11.85 times. To explore solar PV investment changes across China regions, we use spatial shift-share analysis model to decompose solar PV investment changes from 2013 to 2019 into four components: national energy investment growth effect (NEG), national energy investment structure effect (NES), neighbor–nation solar PV investment competitive effect (NNC), and region–neighbor solar PV investment competitive effect (RNC). Based on the decomposition results, we find that the value of NNC of most western provinces is negative for the entire period, while the NNC of most central and eastern provinces is in the middle and lower range. There is little difference in RNC among these regions. While comparing the influence caused by the four effects, NNC and RNC play dominant roles in solar PV investment changes in eastern and central provinces, which means NEG and NES have relatively small impacts. By contrast, NEG and NES affect the solar PV investment changes at a larger scale in most western provinces. Comparing the NNC and RNC, we find that RNC played a prominent role in the eastern and central regions, while NNC played a dominant role in the west.https://www.mdpi.com/1996-1073/14/19/6418solar photovoltaic investmentspatial shift-share analysisregional analysis |
| spellingShingle | Ruxu Sheng Juntian Du Songqi Liu Changan Wang Zidi Wang Xiaoqian Liu Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis Energies solar photovoltaic investment spatial shift-share analysis regional analysis |
| title | Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis |
| title_full | Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis |
| title_fullStr | Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis |
| title_full_unstemmed | Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis |
| title_short | Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis |
| title_sort | solar photovoltaic investment changes across china regions using a spatial shift share analysis |
| topic | solar photovoltaic investment spatial shift-share analysis regional analysis |
| url | https://www.mdpi.com/1996-1073/14/19/6418 |
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