Consumer Spending in China increased to 538646.10 CNY Hundred Million in 2024 from 512120.60 CNY Hundred Million in 2023. This dataset provides - China Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Confidence in China increased to 89.60 points in September from 89.20 points in August of 2025. This dataset provides - China Consumer Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In this study, 403 Chinese consumers generalizable to the broader population were surveyed on their motivations to shop for fashion apparel in both high street and e-commerce environments. Statistical analysis was undertaken through multiple T-Tests and MANOVA with the assistance of SPSS and G*Power.

To increase the profits of international brands, this paper presents the motivations of Chinese consumers to engage in fashion retail, building upon established theory in hedonic and utilitarian motivations. With China set to capture over 24% of the $212 billion fashion market, international brands need to understand the unique motivations of Chinese consumers in order to capitalise on the market. However, the motivations of Chinese people to engage in fashion retail are as yet undefined, limiting the ability for international fashion retailers to operate with prosperity in the Chinese market.

Baidu Search Index is a big data analytics tool developed by Baidu to track changes in keyword search popularity within its search engine. By analyzing trends in the Baidu Search Index for specific keywords, users can effectively monitor public interest in topics, companies, or brands.

As an ecosystem partner of Baidu Index, Datago has direct access to keyword search index data from Baidu's database, leveraging this information to build the BSIA-Consumer. This database encompasses popular brands that are actively searched by Chinese consumers, along with their commonly used names. By tracking Baidu Index search trends for these keywords, Datago precisely maps them to their corresponding publicly listed stocks.

The database covers over 1,100 consumer stocks and 3,000+ brand keywords across China, the United States, Europe, and Japan, with a particular focus on popular sectors like luxury goods and vehicles. Through its analysis of Chinese consumer search interest, this database offers investors a unique perspective on market sentiment, consumer preferences, and brand influence, including:

• Brand Influence Tracking – By leveraging Baidu Search Index data, investors can assess the level of consumer interest in various brands, helping to evaluate their influence and trends within the Chinese market.

• Consumer Stock Mapping – BSIA-consumer provides an accurate linkage between brand keywords and their associated consumer stocks, enabling investor analysis driven by consumer interest.

• Coverage of Popular Consumer Goods – BSIA-consumer focuses specifically on trending sectors like luxury goods and vehicles, offering valuable insights into these industries.

• Coverage: 1000+ consumer stocks

• History: 2016-01-01

• Update Frequency: Daily

As the world's second-largest economy, information about China is in high demand. In addition, its prospect has increased due to the opening of A-share markets to foreign investors. China is different from western economies when it comes to the generation of data, as Chinese consumers do not generate data through traditional providers such as Google. Instead, this data is generated by Chinese proxies.

The power of SpaceKnow Nowcasting data lies in its standardization. You can safely compare all our Chinese data with each other or to other datasets for other countries. SpaceKnow obtains data from radar satellites which consistently deliver data down to earth. SpaceKnow monitors over 10,000 locations in China.

About data: SpaceKnow data has a history since January 2017 SpaceKnow data is updated on a weekly and daily basis SpaceKnow data provides the latest data point to customers instantly SpaceKnow data is transparent about locations from which it collects data SpaceKnow data is not affected by weather conditions

Available datasets: China Country Nowcasting Weekly updated change data Indices focused on the macroeconomic sector: manufacturing, mining with traditional benchmark predictions Indices focused on sectors: mining, automotive, chemical, transport, etc. Indices focused on regional and country pollution Industry indices provide information in z-score and percentages for low, normal and high activity Pollution indices provide information in mol/m2 and parts per billion for methane

China Nowcasting Summary:

China Logistic Centres Daily updated data aggregated by country and segregated by the 17 Chinese provinces Dataset provides three types of indices with different information: A level index that captures the long-term trends in the level of domestic trade A change index that captures the total flow of activity entering and exiting the monitored locations An activity index that captures different types of activity across time Indices are level in squared meters, change in z-score and activity in percentage

China Retail Indices Daily updated level data in squared meters Indices capture retail-related activity across China over parking areas that belong to shopping centres and metro stations Indices estimate the current state of the retail market in China Retail Parking Retail Metro Parking

China Automotive Companies [Released] Daily updated level data in squared meters Indices cover the production of assembled cars, movement at employee parking areas Covered companies: SAIC, BBAC, Changan, Dongfeng, Geely, GAC Group, Tesla Shanghai and more

China Coal [Coming Soon] Daily updated level data in squared meters Focus on mines, storage, processing and distribution centres Indices cover country and also region levels for Xinjiang, Shaanxi, Shanxi, Inner Mongolia China Truck Stops [Coming Soon]

In the recent years, many Chinese e-commerce platforms, for example TEMU, SHEIN and Alibaba, have been gaining a remarkable traction on the global market. These platforms attract millions of consumers every year, with their affordable prices, trendy fast fashion items, and very aggressive online marketing. According to the latest data, TEMU has around 292 million monthly active users, and their annual sales are estimated at 70.8 billion American dollars (Backlinko, 2025). SHEIN is also a largely popular and used app; in 2024, it was the second most downloaded shopping app worldwide, with approximately 235 million downloads (Analyzify, 2025). However, this growth in popularity raises some important questions about consumer behavior, particularly about the gap between consumers expressed attitudes, which would be the concern for ethical production, sustainability, or fair labor, and their actual purchasing decisions. This phenomenon, known as the attitude-behavior gap, has become increasingly relevant in the digital retail age.Attitude-behavior gap, also known as the value-action gap or the intention-behavior gap, describes the discrepancy between our intentions, or what we plan to achieve, and our actual actions, or what we ultimately do (Ajzen/Fishbein 1975, p. 39). An example of such behavior is when someone claims they care about the environment and says they want to reduce waste but don’t engage in eco-friendly practices in their daily life. This gap happens for many reasons, such as habits, convenience, price, or simply not thinking about it in the moment. (Zhuo/Ren/Zhu 2022, p. 16)The topic of attitude-behavior gap has been explored in many academic publications and other works but mostly in the context of traditional retail and Western fast fashion brands, such as Zara and H&M. There is, however, a lack of focused research on Chinese e-commerce platforms, like SHEIN and TEMU. These platforms operate with unique business models and digital strategies and are therefore a suitable topic for closer examination, especially in relation to consumer perceptions of sustainability, which is a very current topic nowadays.In this thesis the focus will be on the two following companies, TEMU and SHEIN. These two companies are the biggest players on the Chinese e-commerce market and are also among the most popular platforms in the FMCG (Fast-Moving Consumer Goods) sector, as can be seen from the numbers above.The aim of this thesis is to explore the gap in customer behavior, as well as to understand the psychological, social, and economic factors that influence consumer choices, and finding an answer to why conscious intentions often fail to translate into ethical actions online.The research of this master thesis will focus on three central questions. First, it will seek to answer why do customers shop at these platforms (SHEIN and TEMU), and if they care about sustainability while doing so. Second, it will investigate what factors contribute to the attitude-behavior gap. Finally, it will explore what are consumers expressed attitudes towards sustainability in online shopping on these Chinese e-commerce platforms (SHEIN and TEMU).The planned methodology of this thesis focuses on empirical research in the form of a consumer survey. A questionnaire will be developed based on the theory of the attitude-behavior gap, and it will also explore real world shopping behavior in comparison to respondents stated attitudes toward sustainability.The target group will consist of people who shop on platforms, TEMU and SHEIN. Participants will be reached mainly through social media channels (e.g., Instagram, Facebook, LinkedIn), where a link to the questionnaire will be shared, as well as through a paid survey platform called SurveySwap. A portion of the respondents will also be reached through personal contact. The estimated number of participants is between 100 and 150.In this thesis, the focus will be first on providing the context and applicable theories on the topic of attitude-behavior gap. Second, the focus will be on ethical and sustainable consumerism, describing correlation to the topic of the thesis and providing more dept to the topic. The third section will provide an overview of the Chinese e-commerce ecosystem, subsequently the following two chapters will describe and explore the two mentioned Chinese companies, SHEIN and TEMU, and will provide an overview of their environmental and ethical role on the consumers. The last part will present new findings on how attitude-behavior gap effects the consumers shopping on these platforms. A concluding section will derive final insights from the empirical findings

Core Consumer Prices in China decreased to 100.10 points in September from 100.80 points in August of 2024. This dataset provides - China Core Consumer Prices - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Retail Sales in China increased 2.90 percent in October of 2025 over the same month in the previous year. This dataset provides - China Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in China increased to 0.20 percent in October from -0.30 percent in September of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Overview

The State Grid Corporation of China (SGCC) dataset with 1000 records was used in the model. This is a key resource in the field of power distribution and management, with a large and varied set of data about electricity transport and grid operations. This set of data contains a lot of different kinds of information, such as history and real-time data on energy use, grid infrastructure, the integration of green energy, and grid performance. It is a key part of making power distribution networks more reliable and efficient by helping with things like predicting demand, watching the grid, and finding problems. Researchers, energy providers, and law- makers can use this information to learn important things about electricity usage trends, the health of the grid, and the merging of green energy sources. This will help the electric power industry come up with new strategies and ideas that are based on data.

Description

Electricity theft detection released by the State Grid Corporation of China (SGCC) dataset data set.csv contains 1037 columns and 42,372 rows for electric consumption from January first 2014 to 30 October 2016. SGCC data first column is consumer ID that is alphanumeric. Then from column 2 to columns 1036 daily electricity consumption is given. Last column named flag is the labels in 0 and 1 values. the small version of the dataset datasetsmall.csv only contains the electric consumption for January 2014.

Features

• 'MM/DD/YYYY': The electric consumption on a given day .
• CONS_NO: Consumer Number stands for a customer ID of string type.
• FLAG: 0 indicating no theft and 1 for theft.

Useful for

• Binary Classification: The main intention of the dataset is for binary classification of electrical theft.
• Imbalanced Datasets Processing: Useful for exploring class balancing methods.
• Time Series Forecasting: Can be used for forecasting and predicting electrical consumption on a given day.

Notes

• This Dataset Contains missing values .
• This Dataset has dates of the form "MM/DD/YYYY".
• This Dataset requires slight cleaning.

United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on December of 2025.

This dataset constitutes the core of an innovative ethnographic study conducted in Changsha, a Chinese city renowned for its deep-seated revolutionary tradition. It captures a paradoxical socio-cultural phenomenon: the proliferation of fortune-telling practices among highly educated young elites, who operate under the dual structural pressures of state atheist ideology and intense "neijuan" (involutionary) competition.The collection uniquely documents how individuals construct a covert, highly adaptive system of meaning-making—termed "Guerrilla Spirituality"—and navigate the consequent "Folded Personhood" of maintaining a public materialist identity alongside private spiritual seeking.Comprising four pillars, the dataset provides a holistic 360-degree view, capturing both the supply side (practitioners' adaptive strategies) and the demand side (clients' cognitive negotiations) of this meaning ecosystem:Consumer Questionnaire Dataset: Records the nuanced beliefs and behaviors of 100 educated young consumers in Changsha. It combines quantitative ratings with rich qualitative feedback, vividly illustrating how individuals translate abstract "Ultimate Concern" into manageable "existential anxieties" (career, relationships, meaning) and seek strategic guidance through fortune-telling.Synthesis of Practitioner Interviews: A consolidated analysis of in-depth interviews with 20 diverse fortune-tellers, from traditional blind masters at temple gates to "cultural consultants" in upscale office towers. It reveals their survival tactics and "rhetorical evolution," detailing how they recast traditional metaphysical concepts into the modern lexicons of psychology, management, and data science to secure legitimacy and clientele.Practitioner Interview Guide & Consumer Questionnaire Template: The complete research instruments that ensured systematic and replicable data collection. These tools provide critical context for understanding the genesis and structure of the core datasets, showcasing the study's methodological rigor.Value of the Collection: The paramount value of this dataset lies in its capture of a profound societal paradox. It documents not a simple resurgence of tradition, but a sophisticated, modern-day "guerrilla warfare of the spirit"—a strategic, fragmented, and instrumentally rational pursuit of meaning under ideological constraint. The data is rich with tension between science and metaphysics, public conformity and private solace, revolutionary legacy and spiritual exploration. It offers an unprecedented empirical resource for scholars of secularization, contemporary Chinese society, youth culture, and the anthropology of religion, providing a compelling case study from a socialist state for global theoretical dialogues.

Online shopping for customized garments has become the fastest-growing field of the Chinese eBusiness market. Most consumers not only limit themselves to buying standardized garments but also want to buy garments customized to their preferences. This phenomenon has pushed the fashion textile and apparel industry to change its supply chain operations to meet the customization demand. Besides, the fashion textile and apparel industry also want to study how different channel factors will affect consumers' perceived value and further influence consumers' purchasing decisions. We initiated this study and empirically tested more than 200 experienced consumers. This study collaborated with a fashion textile and apparel company that aims to implement customized product lines soon. Based on the perceived value theory and risk management theory, we investigated whether product involvement and channel identification on supply chain design will affects potential customized product consumers' purchasing decisions. The findings reveal that channel recognition affects consumer decisions by having a positive impact on their perceived value. The perceived risk and shopping channel involvement of consumers have a negative impact on their perceived values and channel selections. In addition, product involvement has a moderating effect on the relationship between channel's perceived risk, perceived values, and channel selections as well.

In the fourth quarter of 2024, TikTok generated around 186 million downloads from users worldwide. Initially launched in China first by ByteDance as Douyin, the short-video format was popularized by TikTok and took over the global social media environment in 2020. In the first quarter of 2020, TikTok downloads peaked at over 313.5 million worldwide, up by 62.3 percent compared to the first quarter of 2019.

              TikTok interactions: is there a magic formula for content success?

              In 2024, TikTok registered an engagement rate of approximately 4.64 percent on video content hosted on its platform. During the same examined year, the social video app recorded over 1,100 interactions on average. These interactions were primarily composed of likes, while only recording less than 20 comments per piece of content on average in 2024.
              The platform has been actively monitoring the issue of fake interactions, as it removed around 236 million fake likes during the first quarter of 2024. Though there is no secret formula to get the maximum of these metrics, recommended video length can possibly contribute to the success of content on TikTok.
              It was recommended that tiny TikTok accounts with up to 500 followers post videos that are around 2.6 minutes long as of the first quarter of 2024. While, the ideal video duration for huge TikTok accounts with over 50,000 followers was 7.28 minutes. The average length of TikTok videos posted by the creators in 2024 was around 43 seconds.

              What’s trending on TikTok Shop?

              Since its launch in September 2023, TikTok Shop has become one of the most popular online shopping platforms, offering consumers a wide variety of products. In 2023, TikTok shops featuring beauty and personal care items sold over 370 million products worldwide.
              TikTok shops featuring womenswear and underwear, as well as food and beverages, followed with 285 and 138 million products sold, respectively. Similarly, in the United States market, health and beauty products were the most-selling items,
              accounting for 85 percent of sales made via the TikTok Shop feature during the first month of its launch. In 2023, Indonesia was the market with the largest number of TikTok Shops, hosting over 20 percent of all TikTok Shops. Thailand and Vietnam followed with 18.29 and 17.54 percent of the total shops listed on the famous short video platform, respectively.

China's total Imports in 2024 were valued at US$2.59 Trillion, according to the United Nations COMTRADE database on international trade. China's main import partners were: South Korea, the United States and Japan. The top three import commodities were: Electrical, electronic equipment; Mineral fuels, oils, distillation products and Ores slag and ash. Total Exports were valued at US$3.58 Trillion. In 2024, China had a trade surplus of US$991.41 Billion.

Multiple comparison tests of time.