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Data in Brief logoLink to Data in Brief
. 2023 Aug 2;50:109467. doi: 10.1016/j.dib.2023.109467

Regional data on electricity consumption and electricity prices in Japan

Akihiro Otsuka 1
PMCID: PMC10440442  PMID: 37609649

Abstract

This dataset's data relate to Japan's electricity consumption from 1990 to 2015. It can be used by researchers, industry practitioners, and policymakers to analyze the impact of changes in electricity prices on the demand for electricity by region in the residential and industrial sectors. The dataset is divided into three categories: (i) regional sectoral electricity consumption data, (ii) regional sectoral electricity consumption intensity data, and (iii) regional sectoral electricity price data. Each category was obtained on an annual basis directly from various government databases. All data are aggregated by region.

Keywords: Residential electricity consumption, Industrial electricity consumption, Electricity consumption intensity, Electricity price, Price sensitivity


Specifications Table

Subject Economics, Econometrics, and Finance
Specific subject area Electricity Consumption; Electricity Consumption Intensity; Electricity Prices
Type of data Table, Excel file
How the data were acquired Datasets were compiled from various publicly available sources, as follows: Electric Utility Handbook (Ministry of Economy, Trade and Industry), Annual Securities Report (Power Company), Economic Census (Ministry of Economy,
Trade and Industry), Basic Resident Registers (Ministry of Internal Affairs and Communications), Consumer Price Index (Ministry of Internal Affairs and Communications), and Corporate Goods Price Index (Bank of Japan).
Data format Raw data were submitted alongside the data article.
Description of data collection These data were collected when electric power companies had regional monopolies. From the postwar period to 2015, each electric power company in Japan had a monopoly on electricity supply, by area of supply. With the complete liberalization of the electricity market in 2016, this regional monopoly was dissolved, and electric power companies could sell electricity beyond their supply area. The ability of power companies to offer different electricity prices for each contract made it difficult to compute region-specific data on electricity prices; therefore, the scope of the data is limited to 2015.
Data source location Electric Utility Handbook (Ministry of Economy, Trade and Industry), Annual Securities Report (Power Company), Economic Census (Ministry of Economy, Trade and Industry), Basic Resident Registers (Ministry of Internal Affairs and Communications), Consumer Price Index (Ministry of Internal Affairs and Communications), and Corporate Goods Price Index (Bank of Japan)
Data accessibility The data can be accessed at the following link:
https://data.mendeley.com/datasets/bc3p4phpy5/1
Related research article Akihiro Otsuka, Industrial electricity consumption efficiency and energy policy in Japan, Util. Pol. 81 (2023) 101519 [1].
https://doi.org/10.1016/j.jup.2023.101519

Value of the Data

  • Databases held by international organizations such as the Organization for Economic Co-operation and Development and the International Energy Agency contain extensive data on electricity consumption by country. However, data by region within a country are incredibly scarce, mainly data on regional electricity prices. Therefore, the data on electricity consumption and electricity prices by region included in this dataset are helpful for the historical analysis of electricity demand by region and comparison of electricity consumption patterns by region.

  • This dataset allows us to estimate the regional price sensitivity of electricity demand in Japan's residential and industrial sectors.

  • Data on electricity prices, filtered by region, can be used to test various hypotheses about electricity price changes that interest scientists, the electricity industry, and energy policymakers.

  • Researchers and data analysts can use these data for statistical and econometric modeling to characterize the relationship between energy prices and energy consumption in the residential and industrial sectors to provide policy implications.

1. Objective

The Great East Japan Earthquake occurred in Tohoku in 2011, resulting in a significant change in the national energy policy. First, the earthquake halted nuclear power generation and replaced it with thermal power generation. As a result, the electricity supply was severely constrained and energy conservation was promoted nationwide. In addition, the Japanese government revised the Basic Energy Plan to address global warming and aimed to build an electricity supply system centered on renewable energy sources. This led to an increase in the unit cost of electricity generation, which in turn caused electricity prices to rise nationwide. This dataset was created to examine the impact of electricity price fluctuations associated with these policy changes on regional electricity consumption.

2. Data Description

The data presented in this paper contain eight variables and are collated in a single Excel file. The file can be accessed at the following link: https://data.mendeley.com/datasets/bc3p4phpy5/1 [2].

Table 1 describes all variables. The data contain information on regional electricity consumption, intensity, and prices.

Table 1.

Description of variables in the dataset.

Variable name Description
Electricity consumption per sector
Con. Res. Total electricity consumption in the residential sector (kWh)
Con. Ind. Total electricity consumption in the industry sector (kWh)
Electricity consumption intensity per sector
EI. Res. Electricity consumption per household in the residential sector (kWh)
EI. Ind. Electricity consumption per business establishment in the industry sector (kWh)
Electricity price per sector
N. Price. Res. Nominal electricity prices in the residential sector (yen/kWh)
N. Price. Ind. Nominal electricity prices in the industry sector (yen/kWh)
R. Price. Res. Real electricity prices in the residential sector (2010=100)
R. Price. Ind. Real electricity prices in the industry sector (2010=100)

The regional classification is as follows: Hokkaido (Hokkaido), Tohoku (Aomori, Iwate, Miyagi, Akita, Yamagata, Fukushima, and Niigata), Tokyo (Saitama, Chiba, Tokyo, Kanagawa, Ibaraki, Tochigi, Gunma, and Yamanashi), Hokuriku (Toyama, Ishikawa, and Fukui), Chubu (Nagano, Gifu, Shizuoka, Aichi, and Mie), Kansai (Shiga, Kyoto, Osaka, Hyogo, Nara, and Wakayama), Chugoku (Tottori, Shimane, Okayama, Hiroshima, and Yamaguchi), Shikoku (Tokushima, Kagawa, Ehime, and Kochi), Kyushu (Fukuoka, Saga, Nagasaki, Kumamoto, Oita, Miyazaki, and Kagoshima), and Okinawa (Okinawa).

Table 2 presents the descriptive statistics of electricity consumption by region. Tokyo, where the capital is located, has the highest electricity consumption in the residential and industrial sectors, while Okinawa, a remote island, has the lowest. Regarding the scale of demand, industrial electricity demand greatly exceeds residential electricity demand in all regions. Compared to residential electricity, the coefficient of variation for industrial electricity is small, and the annual fluctuations are negligible. Hokuriku has the most significant coefficient of variation in the residential sector and Okinawa has the most significant coefficient in the industrial sector.

Table 2.

Descriptive statistics of regional electricity consumption (kWh).

Residential sector
Industry sector
Mean Standard deviation CV Mean Standard deviation CV
Hokkaido 10,474,488,692 1,504,082,176 14.36 17,648,982,154 2,157,440,711 12.22
Tohoku 22,001,093,000 3,169,745,564 14.41 49,808,460,846 5,643,444,518 11.33
Tokyo 85,184,314,808 11,498,150,400 13.50 181,034,024,269 12,434,451,269 6.87
Chubu 31,348,282,077 4,445,712,197 14.18 89,060,958,346 5,588,568,903 6.27
Hokuriku 6,854,567,769 1,289,171,982 18.81 18,918,719,231 1,298,936,692 6.87
Kansai 43,902,761,962 5,513,741,165 12.56 94,217,047,077 4,163,705,252 4.42
Chugoku 16,341,284,846 2,497,401,261 15.28 38,224,591,231 3,374,718,233 8.83
Shikoku 8,538,787,038 1,144,102,922 13.40 16,857,755,731 1,693,718,164 10.05
Kyushu 25,453,418,423 4,072,640,147 16.00 49,824,683,769 5,739,283,800 11.52
Okinawa 2,611,586,308 362,817,765 13.89 4,082,426,615 527,576,301 12.92

Note: See the main text for the regional classification.

Table 3 illustrates the descriptive statistics of electricity consumption intensity by region. The highest electricity consumption intensity for both the residential and industrial sectors is in Hokuriku. Regarding the scale of electricity consumption intensity, industrial electricity greatly exceeds residential electricity consumption in all regions. Compared to industrial electricity, the coefficient of variation for residential electricity consumption is small, and annual fluctuations are negligible. Hokuriku has the most significant coefficient of variation for the residential sector, while Hokkaido has the most significant for the industrial sector.

Table 3.

Descriptive statistics of regional electricity consumption intensity (kWh).

Residential sector
Industry sector
Mean Standard deviation CV Mean Standard deviation CV
Hokkaido 4245 348 8.19 66,515 11,581 17.41
Tohoku 5303 468 8.82 79,858 13,381 16.76
Tokyo 5072 309 6.09 95,348 8523 8.94
Chubu 5195 373 7.18 100,026 11,113 11.11
Hokuriku 6620 788 11.90 102,370 14,276 13.94
Kansai 5398 347 6.43 90,816 8596 9.47
Chugoku 5511 529 9.61 98,862 14,341 14.51
Shikoku 5284 440 8.33 76,343 13,026 17.06
Kyushu 4855 456 9.39 76,555 12,321 16.09
Okinawa 5362 316 5.89 56,693 8520 15.03

Note: See the main text for the regional classification.

Table 4 presents the descriptive statistics of nominal electricity prices by region. The electricity price level is higher in the residential sector than in the industrial one. Hokkaido has the most significant coefficient of variation for both the residential and industrial sectors. Compared to residential electricity, the coefficient of variation for industrial electricity is smaller and annual fluctuations are minor.

Table 4.

Descriptive statistics of nominal electricity prices (yen/kWh).

Residential sector
Industry sector
Mean Standard deviation CV Mean Standard deviation CV
Hokkaido 23.72 2.64 11.13 16.49 2.46 14.93
Tohoku 23.56 1.92 8.14 16.00 1.84 11.50
Tokyo 23.59 1.85 7.83 16.16 1.90 11.75
Chubu 22.65 1.28 5.63 15.65 1.30 8.33
Hokuriku 21.51 2.32 10.80 14.32 1.44 10.03
Kansai 22.24 1.63 7.32 15.35 1.48 9.63
Chugoku 22.83 2.05 9.00 14.93 1.56 10.46
Shikoku 22.79 1.89 8.30 15.92 1.93 12.14
Kyushu 22.39 2.40 10.71 15.69 1.98 12.59
Okinawa 23.91 1.00 4.19 18.63 1.13 6.04

Note: See the main text for the regional classification.

Table 5 illustrates the descriptive statistics of the real electricity prices by region. There are no significant differences in the real electricity price levels among sectors. The coefficient of variation of real electricity prices is the largest in Hokkaido for both sectors. There is no significant difference in the level of the coefficient of variation between sectors.

Table 5.

Descriptive statistics of real electricity prices (Y2010=100).

Residential sector
Industry sector
Mean Standard deviation CV Mean Standard deviation CV
Hokkaido 113.69 13.34 11.74 117.02 14.17 12.11
Tohoku 112.19 9.47 8.44 113.28 10.01 8.83
Tokyo 111.34 8.70 7.81 115.18 11.29 9.80
Chubu 107.30 6.00 5.59 110.01 7.27 6.61
Hokuriku 116.20 13.15 11.32 112.64 8.81 7.82
Kansai 111.87 8.19 7.32 113.50 9.44 8.32
Chugoku 111.94 10.77 9.62 112.86 8.69 7.70
Shikoku 111.77 9.84 8.80 115.15 11.03 9.58
Kyushu 116.68 12.98 11.12 118.61 12.27 10.34
Okinawa 101.32 4.78 4.72 104.33 3.50 3.35

Note: See the main text for the regional classification.

3. Experimental Design, Materials and Methods

3.1. Electricity Consumption

The electricity consumption data for each sector can be obtained from the Electricity Demand Data in the Electricity Utilities Handbook. The electricity consumption in the residential sector is the total electricity consumed by each region in the residential sector, while the electricity consumption in the industrial sector is the total electricity consumed by each region in the industrial sector.

3.2. Electricity Consumption Intensity

The electricity consumption intensity data for each sector comprise electricity consumption data processed to identify specific consumption patterns. The electricity consumption intensity of the residential sector is the consumption unit, that is, the amount of electricity consumed per household. These data are calculated by dividing the total electricity consumption of the region by the number of households listed in the “basic resident register.”

The electricity consumption intensity of the industrial sector is the electricity consumption per unit of consumption, that is, per business establishment. These data are calculated by dividing a region's total electricity consumption by the number of establishments listed in the Economic Census.

3.3. Electricity Prices

The electricity prices for each sector are computed according to the consumption patterns in each sector.

The nominal electricity price is the electricity price per unit of consumption in each sector. It is obtained by dividing the total electricity sales of the electric power companies listed in the annual securities report by the total electricity consumption in each region.

Real electricity rates are calculated differently for the residential and industrial sectors. The real electricity rates for the residential sector are obtained by deflating the nominal unit price of the residential sector in the region by the “consumer price index.” The real electricity rates for the industrial sector are obtained by deflating nominal unit prices for the industrial sector in the region by the “corporate goods price index.”

Ethics Statement

This dataset does not include human or animal-testing data. Permission is not required to use the primary data in this dataset, as it is free of charge.

Declaration of Competing Interest

The author declares that he has no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgment

This work was supported by the Japan Society for the Promotion of Science [Grant No. 22K01501].

Data Availability

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement


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