Dataset Development on Photovoltaic
Equipment and Manufacturing Enterprises in China (2006?C2021)
Lian, W. H. Zhang, X. P.* Wu, A. P. Song, J. W. Pan, Z. J.
College
of Resources and Environment, University of Chinese Academy of Sciences,
Beijing 100049, China
Abstract: China
is the world??s largest market for photovoltaic products and the leading global
supplier. The country??s photovoltaic manufacturing industry significantly
contributes to the green transformation and sustainable development of global
energy sectors. The study collects and organizes data on China??s photovoltaic
equipment manufacturing enterprises and industrial parks utilizing enterprise
information platforms such as Qichacha, Tianyancha, and the National Enterprise
Credit Publicity System, along with Qianzhan Industry Research Institute
resources. Geographical coordinates for these entities are obtained by the Amap
open platform, resulting in a comprehensive spatial distribution dataset of
photovoltaic manufacturing enterprises and industrial parks across China. This dataset encompasses vital details such as the
names of parks and enterprises, their scales, and geographical locations. The
study examines the evolving spatiotemporal
patterns within China??s photovoltaic manufacturing industry. The dataset
includes: (1) Information on photovoltaic industrial parks in China
(2021); (2) Information on photovoltaic equipment manufacturing enterprises in
China (2006?C2021); (3) Information on the number of new photovoltaic equipment manufacturing enterprises in China??s
prefecture-level cities (2006?C2021); and (4) Information on the scale
of new photovoltaic equipment manufacturing enterprises in China??s
prefecture-level cities (2006?C2021). The data is archived in a single .xlsx
file with a total size of 729 KB.
Keywords: photovoltaic
power; equipment manufacturing; spatiotemporal analysis; 2006?C2021
DOI: https://doi.org/10.3974/geodp.2024.04.09
CSTR: https://cstr.escience.org.cn/CSTR:20146.14.2024.04.09
Dataset Availability Statement:
The dataset
supporting this paper was published and is accessible through the Digital Journal of Global Change Data Repository
at: https://doi.org/10.3974/geodb.2024.09.06.V1 or
https://cstr.escience.org.cn/CSTR:20146.11.2024.09.06.V1.
1 Introduction
Advancements
in photovoltaic power generation technology have significantly reduced costs,
establishing the photovoltaic industry as a critical driver of global
sustainable development and resilience to climate change. Given the worsening
global climate conditions, the strategic importance of the photovoltaic
equipment manufacturing industry is increasingly critical for national
governments. Hence, countries worldwide are actively fostering the growth of
their photovoltaic manufacturing sectors through policy support and industrial
planning. Due to the combined effects of policy support and market demand,
China has emerged as the world??s largest market for photovoltaic products and
the leading global supplier. The output value of China??s photovoltaic industry
reached 1.75 trillion CNY in 2023, with a new installed capacity of 216.88 GW,
both ranking first globally[1]. China has developed a comprehensive
photovoltaic manufacturing sector, encompassing high-purity silicon materials,
silicon ingots, rods, wafers, battery modules, auxiliary materials, and
photovoltaic equipment. This comprehensive industry chain has solidified
China??s position as a dominant player in the global photovoltaic market a
competitive edge in producing high-quality solar products[2,3].
From the
perspective of the development history of the photovoltaic manufacturing
industry, clustering has played a crucial role in the evolution of its
industrial organization. However, differences exist in the characteristics of
clusters at various stages of development[4]. Recently, many
regions have emphasized the photovoltaic manufacturing industry as a critical
focus for local industrial development and investment[5]. Driven by active
support from local governments, photovoltaic manufacturing projects have been
rapidly deployed, and optimizing the spatial layout and organization of local
production has become crucial for promoting high-quality regional photovoltaic
manufacturing development[6]. Current research on the photovoltaic
manufacturing industry primarily addresses the challenges it faces[7], the dynamics of
global photovoltaic trade[3], and the transfer and collaboration of
technological innovations[8]. Most studies on the spatial and temporal
layout of the photovoltaic manufacturing industry concentrate on the period
before achieving grid parity in photovoltaic power generation. There is a need
to update and deepen the analysis of the spatial organization and evolution of
the photovoltaic manufacturing industry to enhance the relevance and timeliness
of research[9,10].
An in-depth
analysis of the spatial organization evolution of China??s photovoltaic
equipment manufacturing industry is essential for understanding the underlying
logic of the spatial layout of this emerging industrial system. Such an
analysis is crucial for optimizing the production organization of the
photovoltaic manufacturing sector and can serve as a foundation for developing
other emerging industries. Therefore, the dataset provides detailed information
on China??s spatial distribution of photovoltaic equipment manufacturing
enterprises. This includes data on the location of photovoltaic industrial
parks and the enterprises?? names, registered capital, region, address, business
scope, and industry classification, all of which can be utilized to support
research and analysis.
2 Metadata of the Dataset
Table 1[11] lists
the metadata for China??s spatiotemporal development dataset of photovoltaic
equipment manufacturing enterprises. It includes the dataset??s full name, short
name, authors, year of the dataset, data format, data size, data files, data
publisher, and data sharing policy, etc.
Table 1 Metadata summary of the dataset of spatial-temporal development of photovoltaic equipment
manufacturing enterprises in China
Items
|
Description
|
Dataset full name
|
Spatial-temporal development
dataset of photovoltaic equipment manufacturing enterprises in China (2006-2021)
|
Dataset short
name
|
PhotovoltaicEquipManuChina2006?C2021
|
Authors
|
Lian, W. H., College of
Resources and Environment, University of Chinese Academy of Sciences,
lianwenhua21@mails.ucas.ac.cn
Zhang,
X. P., College of Resources and Environment, University of Chinese Academy of
Sciences, zhangxp@ucas.ac.cn
Wu, A.
P., College of Resources and Environment, University of Chinese Academy of
Sciences, wuaiping20@mails.ucas.ac.cn
Song,
J. W., College of Resources and Environment, University of Chinese Academy of
Sciences, songjiawen22@mails.ucas.ac.cn
Pan,
Z. J., College of Resources and Environment, University of Chinese Academy of
Sciences, panzhongjing24@mails.ucas.ac.cn
|
Geographical
region
|
China (no data
available in Hong Kong, Macau and Taiwan)
|
Year
|
2006?C2021
|
Data format
|
.xlsx
|
Data size
|
729 KB
|
Data files
|
(1) China??s photovoltaic
industrial parks (2021); (2) Photovoltaic equipment
manufacturers in China (2006?C2021); (3) New photovoltaic equipment
manufacturers by prefecture (2006?C2021); (4) Scale of new photovoltaic
equipment manufacturers by prefecture (2006?C2021)
|
Foundations
|
National Natural
Science Foundation of China (42271193, 41771133)
|
Data publisher
|
Global Change Research Data Publishing &Repository,
http://www.geodoi.ac.cn
|
Address
|
No. 11A, Datun
Road, Chaoyang District, Beijing 100101, China
|
Data sharing policy
|
(1) Data are openly available and can be free downloaded via the
Internet; (2) End users are encouraged to use Data subject to citation; (3) Users, who are by definition also
value-added service providers, are welcome to redistribute Data subject to written permission
from the GCdataPR Editorial Office and the issuance of a Data redistribution license; and (4) If Data are employed to compile new datasets, the ??ten percent
principal?? should be followed such that Data
records utilized should not surpass 10% of the new dataset contents, while
sources should be noted in suitable places in the new dataset[12]
|
Communication and
searchable system
|
DOI, CSTR, Crossref, DCI,
CSCD, CNKI, SciEngine, WDS, GEOSS, PubScholar, CKRSC
|
3 Methods
This
study collects and organizes data on China??s photovoltaic industrial
parks and equipment manufacturing enterprises (excluding Hong Kong, Macau, and
Taiwan due to data constraints). It obtains industrial park information from
the Qianzhan Industry Research Institute, while
enterprise information is sourced from Qichacha and
Tianyancha. The
advanced search utilizes keywords such as ??photovoltaic equipment?? and
??photovoltaic manufacturing??, with the industry selection set
??manufacturing-general equipment manufacturing and specialized equipment
manufacturing??. After comparing and deduplicating the data from both sources,
enterprises founded before December 31, 2021, are selected as the research
subjects. A total of 4,680 enterprises are then searched in Qichacha by name,
yielding details such as enterprise name, registration time, registered
capital, location, address, business scope, and industry. Due to the diverse
share structures, the registered capital of foreign-funded enterprises needs
standardization using the exchange rate applicable at the time of registration.
Hence, the registered capital of foreign-funded enterprises is uniformly
treated using the exchange rate applicable at the time of registration. Since
geographical coordinates are unavailable on the enterprise search website or in
the industrial park database, the Amap open platform??s coordinate picker is
employed to obtain coordinates based on address information. The
process for constructing the database is depicted in Figure 1.

Figure 1 Flowchart of the dataset
development
4 Data Results and Analysis
4.1 Data Composition
The dataset detailing the spatiotemporal
development of photovoltaic equipment manufacturing enterprises in China from
2006 to 2021 comprises four principal elements: (1) information
on photovoltaic industrial parks in China (2021); (2) information on
photovoltaic equipment manufacturing enterprises in China (2006?C2021); (3) information
on the number of new photovoltaic equipment manufacturing enterprises in
China??s prefecture-level cities (2006?C2021); and (4) information on the scale
of new photovoltaic equipment manufacturing enterprises in China??s
prefecture-level cities (2006?C2021).
4.2 Data Results and
Analysis
China??s
photovoltaic equipment manufacturing industry witnessed substantial growth
during the study period, fueled by favorable policies and robust market demand.
The number of related companies rose from 849 in 2006 to 4,680 in 2021. In
contrast, the average registered capital of these new companies exhibits a
declining trend, decreasing from 64 million CNY in 2006 to 35.12 million CNY in
2021 (Figure 2). As the industry matures, newer entrants typically possess less registered capital than
their predecessors. This phenomenon stems from several factors: firstly,
dominant enterprises have already overcome significant entry barriers by
swiftly gaining market share, with many subsequent entrants being subsidiaries
of these pioneering companies; secondly, local governments frequently provide
business support and infrastructure to nascent enterprises, lowering their
initial capital requirements and contributing to the overall reduction in
registered capital.
Photovoltaic industrial
parks are instrumental in the growth of the photovoltaic manufacturing sector.
These parks enlarge the market scale, heighten industrial concentration, and
bolster the overall competitiveness of enterprises inside the park, driving the
industry toward high-end, intelligent production. China boasted 68 photovoltaic
industrial parks (Figure 3) by the end of 2021. Most parks are strategically
situated in regions endowed with advanced industrial infrastructure or copious
solar energy resources. Jiangsu Province hosts the most parks, totaling 10,
followed by Shandong with 8, Zhejiang with 6, and Qinghai with 5.
Based on this
dataset, the study analyzed the spatial organizational evolution of the
photovoltaic equipment manufacturing industry, employing the stage division
framework established in the existing literature[13]. Figure 4
illustrates the specific results. The spatial organization of the industry
displays pronounced spatial agglomeration traits, forming an
??East-Central-West?? ladder-type decreasing pattern of spatial differentiation.
The primary agglomerations are concentrated in the Yangtze River Delta, Beijing-Tianjin-Hebei,
and Pearl River Delta regions. Secondary agglomerations are situated in and
around regional centers such as Wuhan, Zhengzhou, Chengdu, and Xi??an, while
smaller-scale agglomerations have emerged in Jiuquan, Zhongwei, Shihezi, and
Baotou.

Figure 4 Maps of evolution of the spatial and
temporal layout of photovoltaic equipment manufacturing enterprises
During the
initial years of the study, regarding the spatial and temporal evolution of
firm numbers, new firms were predominantly concentrated in Jiangsu, Shandong,
and Hebei, followed by regional centers in the central and western regions,
such as Xi??an and Chengdu, where the number of new firms was comparatively
high. In the middle period of the study, photovoltaic manufacturing enterprises
increasingly settled in eastern cities like Jiangsu, Anhui, and Zhejiang, while
cities in the central and western regions, such as Changsha and Chongqing,
began to attract more enterprises. In the later stages of the study, eastern
provinces and cities continued to be highly attractive to photovoltaic
manufacturing enterprises due to their robust industrial bases. However,
certain central and western cities, such as Baotou, Qujing, and Jiuquan,
persisted in attracting photovoltaic enterprises, benefiting from local
advantages, including government incentives in Baotou, affordable hydropower
resources in Qujing, and abundant solar radiation in Jiuquan.
From
the perspective of the spatial and temporal development of enterprise size,
large enterprises were primarily established in the early agglomeration regions
of the Yangtze River Delta and Beijing-Tianjin-Hebei, whereas enterprises in
the Pearl River Delta region, another early agglomeration area, tended to be
smaller. The size disparity between the Beijing-Tianjin-Hebei region and the
other two can somewhat be attributed to the fact that the capital types of enterprises are
mainly dominated by state-owned enterprises. In contrast, the disparity between
the Yangtze River Delta and the Pearl River Delta is chiefly due to differences
in the division of labor within the industrial chain and each region??s
infrastructure and production requirements. In the later stages of the study,
aside from some large upstream silicon raw material companies, most new firms
were smaller. In addition to the factors above, this trend can also be
attributed to many newly established companies being auxiliary firms providing
products and support to leading enterprises, benefiting from the lower
operational costs of these larger firms. Large-scale enterprises remain
concentrated in the Yangtze River Delta, Beijing-Tianjin-Hebei, and other
pioneering regions, with smaller enterprises more sporadically distributed near
leading companies and in silicon raw material production bases.
In general,
China??s photovoltaic equipment manufacturing industry shows distinct signs of
spatial agglomeration. However, an analysis of Moran??s I index for the number of existing enterprises in prefecture-level
cities (Table 2) reveals that this trend is gradually weakening despite the
clear trend of industrial agglomeration. Initially, industries tended to
cluster due to factors such as economies of scale, technological innovation,
knowledge spillovers, and supply chain synergies. However, with the diversification
of market demands, diseconomies of scale,
shifts in the policy environment, technological advancements, cost reductions,
and local government investment promotion, the spatial layout characteristics
of the industry have gradually
shifted from agglomeration to diffusion. Figure 4 indicates that the
photovoltaic equipment manufacturing industry is expanding beyond its initial
core regions, showing a decreasing spatial layout from east to west. In the
eastern region, photovoltaic enterprises are primarily located in and around
the core cities, whereas in the central and western regions, they are mainly
concentrated in provincial capitals and cities with abundant solar energy
resources.
Table 2 Statistics of Moran??s I index of
the number of photovoltaic equipment manufacturing enterprises in
prefecture-level regions in China
|
2005
|
2010
|
2012
|
2017
|
2021
|
Moran??s I
|
0.455,59
|
0.481,96
|
0.474,93
|
0.461,44
|
0.404,93
|
Expectation index
|
?C0.002,77
|
?C0.002,77
|
?C0.002,77
|
?C0.002,77
|
?C0.002,77
|
variance (statistics)
|
0.001,02
|
0.001,01
|
0.000,99
|
0.001,01
|
0.001,00
|
z-score
|
14.292,09
|
15.201,23
|
15.117,14
|
14.580,64
|
12.887,27
|
p-values
|
0
|
0
|
0
|
0
|
0
|
5 Conclusion and Discussion
After
more than two decades of development, China??s photovoltaic equipment manufacturing
industry has emerged as a significant player in the global photovoltaic sector,
contributing substantially to the global transition to clean energy and climate
change mitigation. This study aims to analyze the evolution of the spatial
layout of China??s photovoltaic equipment manufacturing industry. It seeks to
provide theoretical insights into the mechanisms that drive the spatial layout
evolution of this emerging industrial system, optimize the organization of
photovoltaic equipment production, and offer strategic guidance for developing
other emerging industries.
This study relies
on a dataset containing information on photovoltaic equipment manufacturing
enterprises and related industrial parks as of the end of 2021. The dataset
encompasses 68 industrial parks and 4,680 enterprises, with comprehensive data
on each, including names, business statuses, registration times, registered
capital, and business scopes. Data from multiple sources are cross-verified to
ensure comprehensive coverage and high accuracy during the database??s
development. In the data cleaning phase, consistency is enhanced by
standardizing and unifying fields such as registered capital, place of
registration, and business scope. At the spatiotemporal level, the dataset
incorporates time dimensions, spatial scales, and enterprise sizes and utilizes
geocoding to visualize the data, ensuring a more precise representation of the
evolutionary dynamics of the photovoltaic manufacturing industry from a
multi-dimensional perspective. The analysis reveals that the number of firms in
the photovoltaic equipment manufacturing industry increased rapidly during the
study period, although growth has decelerated since 2018. Concerning enterprise
size, there is a noticeable downward trend in average registered capital. The
spatial and temporal analysis shows the industry??s spatial layout exhibits
significant agglomeration characteristics. However, this trend has gradually
weakened with the industry??s expansion, and the distribution of enterprises is
now dispersing from core regions such as the Yangtze River Delta to peripheral
cities and municipalities. Regarding enterprise scale, large enterprises are
predominantly concentrated in economic hubs like Shanghai and Beijing and in
resource-rich provinces such as Shaanxi, Guizhou, and Sichuan.
The study??s dataset provides a comprehensive overview of the evolution of
China??s photovoltaic equipment manufacturing industry, encompassing both
spatial and temporal dimensions. It is a solid foundation for a nuanced
understanding of the industry??s development trajectory, informed projections of
its future direction, and formulating strategies for its integration into local
economies. The dataset offers detailed insights into micro-level
characteristics, including enterprise scale and geographical distribution, and
captures macro-level industry trends. This robust dataset supports informed
policy-making by enabling researchers to apply advanced analytical techniques
to explore the industry??s dynamics. It allows for examining multi-dimensional
factors, such as economic linkages between regions, inter-enterprise
cooperation and competition, and the influence of the social environment on
industrial development. These studies provide a comprehensive assessment of the
impact of photovoltaic equipment manufacturing on regional economic
development, industrial upgrading, and employment, thus offering a scientific
basis for more targeted and effective industrial policies and strategies.
Author Contributions
Zhang, X. P. contributed to
the development and design of the dataset, as well as the revision of the data
paper. Lian, W. H. was responsible for the design of the dataset development
and research and authored the data paper. Wu, A. P., Song, J. W. and Pan, Z. J.
assisted in revising and refining both the dataset and the article.
Conflicts of
Interest
The
authors declare no conflicts of interest.
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