International Standard Industrial Classification Research Articles

How Do LCA Studies Support CE? A Systematic Case Study Review

This study explores the integration of Circular Economy (CE) principles within the framework of Life Cycle Assessment (LCA), a foundational methodology in industrial ecology aimed at enhancing product sustainability. With CE offering a roadmap towards ecological sustainability within economic systems, the research examines the extent to which conventional LCA studies align with CE principles across diverse industries classified by the International Standard Industrial Classification (ISIC). Analyzing 282 LCA studies, the investigation identifies a limited incorporation of CE concepts. Most studies inadequately address CE in their goal and scope, lack CE-specific data in inventories, predominantly focus on basic recycling strategies, overlook CE-specific indicators, neglect CE considerations in sensitivity analyses, and omit CE-related recommendations in conclusions. These findings underscore the necessity for a more robust integration of CE principles within LCA methodologies, emphasizing CE measures as pivotal drivers for enhancing product environmental performance across industries.

DYNAMIC CAPABILITIES AND PERFORMANCE OF FAMILY BUSINESSES IN EMERGING ECONOMIES

Dynamic capabilities analyze the sources and methods of better performance and wealth creation and capture by firms operating in environments of rapid technological changes. Based on this, The objective of this research was to analyze the relationship between absorptive, adaptive, and innovation capabilities on financial and non-financial performance of family businesses was analyzed in the context of emerging economies, a relationship that has not been analyzed in this context. Through the application of structural equation modeling in a sample of 235 family businesses of agricultural supplies and machinery, located in the G46 and G47 categories of the International Standard Industrial Classification – ISIC, the results allowed us to identify that absorptive capability has a positive influence on financial performance, while innovation capability has a positive influence on no-financial performance. No evidence was found that other capabilities were related to the performance of the organizations analyzed. In addition, it was shown that the size of the companies does not generate any moderating effect in the relationship between these variables. This study contributes to dynamic capabilities theory by exploring how absorptive and innovative capabilities influence financial and non-financial performance in a specific and underexplored context: family businesses in emerging economies. Furthermore, the importance of developing and enhancing absorptive and innovation capabilities is highlighted. This could lead to the implementation of training programs, investment in R&D, and adoption of knowledge management practices.

Analyzing the incidence of silicosis across various industries in Taiwan: a study of occupational disease surveillance by linking national-based workers’ and medicoadministrative databases

ObjectivesThis study aimed to establish an occupational disease surveillance system by identifying high-risk industries for silicosis in Taiwan using a national database linkage approach. MethodsThe study was based on a comprehensive analysis of benefit claims from the National Labor Insurance Research Database and medical records from the National Health Insurance Research Database between 2004 and 2020, providing coverage for more than 88.5% of the workforce and 99.9% of citizens. Silicosis was defined as having received compensation for labor insurance benefits or having received a diagnosis of silicosis (International Classification of Diseases, 10th Revision: J62 or International Classification of Diseases, Ninth Revision: 502). The study used the International Standard Industrial Classification of All Economic Activities for industry-specific classification. Cox proportional hazard models were used to compare the silicosis incidence and risk among each industry and identify high-risk industries for silicosis. ResultsThis study analyzed 1466 cases of silicosis between 2004 and 2020 and found that 28 industries had incidence rates of over 40 cases per 100,000 workers, indicating more than double the risk of developing silicosis. Of these industries, 14 were considered high risk (relative risk of over four times). Among these, this study identified industries rarely mentioned in the past, such as wholesale of brick, sand, cement, and products, artistic creation, landscape construction, and materials recovery. Stratification by years of work experience reveals those industries such as quarrying of stone, sand, clay, and other mining, construction of buildings, landscape construction, site preparation, foundation and structure construction, building completion and finishing, manufacture of ships, boats, and floating structures, and plumbing, heat, and air conditioning installation display higher hazard ratios for individuals with <10 years of work experience. ConclusionsThe current surveillance system has identified certain industries that are at a higher risk of developing silicosis, which could be used for future occupational epidemiological surveys and targeted preventive measures in these sectors.

Occupational characteristics and risk factors associated with endometriosis among Korean female workers.

Endometriosis is a chronic and debilitating condition that affects daily working life. Characterization of the factors associated with endometriosis in the working population can facilitate the development of prevention and intervention strategies for those at risk of endometriosis. This population-based retrospective study was conducted using the 2007-2015 National Health Insurance Service-Female Employees database. Overall, 151,386 female workers aged 15-64 years were included in the study. Participants with endometriosis were identified using the diagnosis codes in the claims data. Multivariable Cox regression analyses were used to evaluate the effect of sociodemographic, lifestyle, health, and occupational factors on endometriosis risk. Of the 151,386 participants, 4,457 were diagnosed with endometriosis. The risk of endometriosis was significantly higher in 41-60 years group (HR = 1.47 (95% CI, 1.06-2.04)) and in those with body mass index (BMI) < 18.5 kg/m2 (HR = 1.16 (95% CI, 1.05-1.27)) than 15-20 years group and those with normal BMI, respectively. According to the international standard industrial classification, occupational groups with financial and insurance activities, public administration and defence, compulsory social security, and manufacturing were at a higher risk of endometriosis. Although there was no significant association between the risk of endometriosis and type of work, the cumulative prevalence of endometriosis from 2007 to 2015 continued to rise in office workers, manual workers, and both types of workers together. The risk of endometriosis was closely linked to the occupational characteristics of female workers. This study provides a foundation for developing occupational safety and health guidelines for female workers.

Evaluating Green Efficiency of Manufacture Sector and Its Determinants in East Java Province

East Java is one of the provinces in Indonesia that carries out intensive development in the industrial sector to improve the welfare of its society. However, massive industrial activity will pose its challenges, such as increased emissions and environmental degradation. This study aims to determine the manufacturing sub-sector that produces CO2 emissions and has the lowest green efficiency as well as its determinant variables. There are three stages of analysis applied in this research i.e. carbon emission measurement, Slack Based Measurement-Data Envelopment Analysis (SBM-DEA), and Tobit regression. The study use 5-digit manufacturing subsector data based on the International Standard Industrial Classification (ISIC) system, obtained from the Indonesian Central Agency of Statistics (BPS) which is deflated against the East Java Regional Gross Domestic Product (GRDP) deflator with 2010 as the base year. The results of the analysis show that in general, the manufacturing subsector in East Java produces quite high CO2 emissions of 85.28 tons. The subsector with the highest average CO2 emissions in East Java in 2017 was the fertilizer industry, in 2018 the non-ferrous base metal manufacturing industry, and in 2019 the steel rolling industry. Then, the drying industry and tobacco depreciation became the sub-sector with the lowest average green efficiency in East Java Province in 2017. Meanwhile, in 2018 it was the milling industry of various nuts (including Leguminous) and in 2019 it was the coffee processing industry. The Tobit regression results show that the energy structure and industrial concentration have no significant effect on the green efficiency value of the manufacturing subsector. Meanwhile, spending on R&amp;D has a significant negative effect on green efficiency. Therefore, the recommendations given are encourage the use of environmentally friendly raw materials and fuels, increasing green innovation, and increasing consumer awareness regarding environmental issues.

N-Nitrosamines and their precursors in wastewater effluents from selected industries in Spain

N-nitrosamines (NAs), and N-nitrosodimethylamine (NDMA) in particular, are hazardous disinfection byproducts (DBPs) relevant when wastewater impacts drinking water sources and, in water reuse practices. Our study investigates the concentrations of NDMA and five additional NAs and their precursors in industrial wastewater effluents. Aiming to identify potential differences between industrial typologies, wastewaters from 38 industries belonging to 11 types of the UN International Standard Industrial Classification of All Economic Activities system (ISIC) were analysed. Results show that the presence of most NAs and their precursors cannot be linked to a specific industry type as these were in general very different within the classes. Nevertheless, N-nitrosomethylethylamine (NMEA) and N-nitrosopiperidine (NPIP) as well as precursors for N-nitrosodiethylamine (NDEA), NPIP and N-nitrosodibuthylamine (NDBA) could be rank with different concentrations between ISIC classes (p-value < 0.05). Specific industrial wastewater with notable high concentrations of NAs and their precursors were identified too. The effluents with the highest concentration of NDMA belong to the ISIC C2011 class (Manufacture of basic chemical), while the effluents with the highest concentration of NDMA precursors were from the ISIC C1511 class (Tanning and dressing of leather; dressing and dyeing of fur). Other relevant NAs found were NDEA in ISIC class B0810 (Quarrying of stone, sand, and clay) and ISIC class C2029 (Manufacture of other chemical products).

Analysis on technical structure and competitiveness of ICT manufacturing industries

In order to analyze the technical structure and international comparative advantage of the information and communication technology (ICT) manufacturing industry, a complete set of ICT manufacturing product categories has been constructed by matching National Economical Industry Classification (GB/T4754-2017) with Harmonized System (HS) Codes, based on the relevant definitions in International Standard Industrial Classification (ISIC). The proposed definition overcomes inherent defects such as inaccurate scopes, lagging data and rough categories, which are characterized by commonly utilized product-level based classification approaches. Within the given framework, this paper has designed the technology content related indicators from the perspective of production distribution, and divided ICT product categories into high-end, medium-end and low-end manufacturing classifications according to respective global shares. Then, we have calculated international market shares (IMS), revealed comparative advantages (RCA), and market penetration rates (MPR) of ICT manufacturing exports for major economies from 2010 to 2021. Finally, development characterizations of ICT manufacturing industries for China's Mainland are analyzed, and several practical suggestions are provided.

Could we estimate industrial wastewater flows composition using the UN-ISIC classification system?

Although we have extensive datasets on the location and typology of industries, we do not know much on their generated and discharged wastewater. This lack of information compromises the achievement of the sustainable development goals focused on water (Sustainable Development Goal 6) in Europe and globally. Thus, our goal was to assess to which degree the chemical composition of industrial wastewater could be estimated based on the industry's typology according to its International Standard Industrial Classification of All Economic Activities (ISIC) class. We collected wastewater effluent water samples from 60 industrial wastewater effluents (before any wastewater treatment process), accounting for 5 samples each of 12 ISIC classes, analyzed the composition of key contaminants (i.e. European Commission rated priority compounds and watchlist), and statistically assessed the similarities and differences amongst ISIC classes using ordination and random forest analyses. The results showed statistically significant linkages between most ISIC classes and the composition of produced wastewater. Among the analytical parameters measured, the random forest methodology allowed identifying a sub-set particularly relevant for classification or eventual contamination prediction based on ISIC class. This is an important applied research topic with strong management implications to (i) determine pollution emission caps for each individual ISIC class, (ii) define monitoring schemes to sample and analyze industrial wastewater, and (iii) enable predicting pollutant loads discharged in river basins with scarce information. These encouraging results urge us to expand our work into other ISIC classes and water quality parameters to draw a full picture of the relationship between ISIC classes and produced wastewater.

Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry: a cross-sectional, population-based study

BackgroundThe important role of mental health in sustainable economic development is gradually being recognized. This study aimed to evaluate the prevalence and gender disparity of those who screen positive for depression in China by the employer and industrial classification.MethodsWe used data from a nationally representative survey, the China Family Panel Studies. Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Employer classifications were categorized according to the local characteristics of Mainland China. Industrial classifications were defined using level-1 of the China version of the International Standard Industrial Classification of All Economic Activities. Weighted logistic regressions were fitted to estimate the gender disparities, controlling for confounders.ResultsForty eight thousand six hundred twenty eight adults were included. 18.7% (95%CI 18.1–19.4) of sampled adults were screened positive for depression symptoms, with 16.6% (95%CI 15.8–17.5) in males vs 21.0% (95%CI 20.1–22.0) in females. By classification of the employer, the prevalence was lowest among those employed by Government/party organisations (11.8%, 95%CI 8.9–15.4), and highest in those self-employed (21.8%, 95%CI 20.8–22.9); the gender disparity was mainly found in those employed by Sole proprietorship (Adjusted odds ratio [AOR] = 1.95, 95%CI 1.19–3.19) and Private enterprise (AOR = 1.34, 95%CI 1.13–1.59), as well as those self-employed (AOR = 1.49, 95%CI 1.3–1.17). By industrial classification, the prevalence was lowest among those who worked in the industry of Real estate (7.2%, 95%CI 4.8–10.6), and highest among those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (22.9%, 95%CI 15.5–32.4); the gender disparity was mainly found in those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (AOR = 3.29, 95%CI 1.18–9.15), Manufacturing (AOR = 1.41, 95% CI 1.09–1.82), Wholesale and retail trade (AOR = 1.48, 95% CI 1.07–2.06), and Accommodation and food service (AOR = 1.91, 95% CI 1.15–3.18).ConclusionThe prevalence of depression in China had a wide variation by classifications of the employer and industry. Gender disparities were identified among workers from Sole proprietorship, Private enterprise, and self-employed, or workers from the industry of Agriculture, forestry, animal husbandry and fishing, Manufacturing, Wholesale and retail trade, and Accommodation and food service.

Sectoral Productivity – Allocation of FDI Nexus in Bulgaria after the 2008-2009 Global Crisis

Studies of foreign direct investment in Bulgarian economy have had a decades-long history since the beginning of the transition to a market economy. This subject was particularly topical in the early transition period, when foreign investments were expected to be a major driver of the recovery and renewal of Bulgarian economy. Thirty years later, the relevance of this topic has not diminished, given the extraordinary degree of globalization of the world business into which Bulgarian economy must successfully integrate. The main goal of the current study is to present preliminary results of a statistical analysis of the dependence of sectoral labor productivity on the level of foreign direct investment allocated to various sectors of Bulgarian economy. For this purpose, two basic specifications of econometric models are built, adapted for estimation using panel data for the 2008-2019 period. The models are estimated using annual data for the sectors defined in the framework of the International Standard Industrial Classification of economic activities (ISIC-2008). Statistically significant results are obtained on various effects of the sectoral allocation of FDI in Bulgarian economy.

Risk and Status of Gastrointestinal Cancer According to the International Standard Industrial Classification in Korean Workers.

Simple SummaryThe risk of developing cancers varies depending on occupation, which is a well-known fact. It is crucial to investigate the risk of developing gastrointestinal (GI) cancer in the entire industry. In this study, we calculated the standardized incidence ratios (SIRs) of GI cancer by all industrial sectors as classified in the Korean Standard Industrial Classification (KSIC). There were noticeable differences among industries in the risk of GI cancer. The SIR of all GI cancer was highest among miners and quarriers, and second highest among transportation workers. These results suggest that further research is required to identify the risk factors present in each industry that contribute to the development of GI cancers. We believe this study can help to create tailored cancer prevention strategies for different industrial sectors.To compare the risk of developing gastrointestinal (GI) cancer according to industrial groups, we performed a retrospective cohort study using the database of the Korea National Health Insurance Service (NHIS). We calculated the age-standardized incidence ratios (SIRs) and 95% confidence intervals (95% CIs) for the types of GI cancers according to the Korean Standard Industrial Classification (KSIC) compared with the whole employee population. The highest SIR for all GI cancer was found in the “Mining and quarrying” section (SIR, 1.30; 95% CI, 1.14–1.47), followed by the “Transportation and storage” section (SIR, 1.27; 95% CI, 1.24–1.30). Miners and quarriers had the highest risk of developing gastric cancer (SIR, 1.29; 95% CI, 1.06–1.55) and cancer of the liver and intrahepatic bile ducts (SIR, 1.48; 95% CI, 1.17–1.86). Transportation workers had the highest SIR of cancer of the lip, oral cavity, and pharynx (SIR, 1.27; 95% CI, 1.13–1.43) and cancers of the rectum, anus, and anal canal (SIR, 1.27; 95% CI, 1.19–1.35). There were distinct GI cancers with an elevated risk in each industry group. Our findings imply that distinct cancer prevention programs should be developed for each industrial sector.

The Importance of Interfirm Networks in Enhancing Innovation Capability and Exporting in High-Tech Industry

This study investigates how interfirm networks affect firm performance through a multi-mediation model of innovation capability and exports in the context of high-tech industries in Indonesia as one of the emerging economies. As part of domestic and international business networks, the firm can benefit from various forms, such as being a supplier to another firm in the next value chain, learning external knowledge, resource sharing, and, in turn, increasing firm performance. However, there is no guarantee that firms engaging in the interfirm network will increase their performance through innovative capability and internationalization through exporting activities. This study utilizes the large and medium manufacturing industries 2017 dataset from an annual survey conducted by Statistics Indonesia. We created a total sample of 2,578 firms from 7 industries in Indonesia's high-tech industries based on two-digit International Standard Industrial Classification (ISIC) manufacturing industries. By employing Structural Equation Model (SEM) – Path Analysis, this study found that the interfirm network positively and significantly affects the firm's performance. Meanwhile, a significant but not unidirectional effect was found in the relationship between interfirm networks and innovation capability, as well as innovation capability on firm performance. Export plays an important role in improving the company's performance, either directly or as a mediator. However, the mediating effect of innovation capabilities and export activities on interfirm networks and firms' performance is much smaller than the direct effect of interfirm networks on firms' performance. Doi: 10.28991/HIJ-SP2022-03-05 Full Text: PDF

The role of technology capability in supporting firm performance in the high-tech manufacturing industry

Background: Technology has influenced many aspects of life, particularly in the digital era of today. Companies that are closely related to technology are also challenged to keep innovating to stay competitive in the market, especially the higher their technology intensity their products and services are related. This study focuses on examining the technology capability of high-tech manufacturing firms in Indonesia. According to the International Standard Industrial Classification, high-tech manufacturing firms are firms that manufacture computer, electronic, and optical products. The aim of this study is to identify the role of technology capability that influences a firm’s performance and identify whether the value chain mediates the relationship between technology capability to firm performance. Methods: The method used in this study is descriptive quantitative analysis, using multi-linear regression and path analysis to test the hypothesis. The data used in this study is secondary data that came from Badan Pusat Statistik (BPS), Indonesia's official statistics agency. The survey data used in this study comes from Indonesia's annual survey of manufacturing firms in 2017. Result: Technology capability and value chain have significant effects on firm performance. Nonetheless, the value chain as an intervening variable has no significant effect on firm performance. In other words, with or without technology utilization of the value chain, both produce similar results. Conclusion: Firms in the high-tech manufacturing industry are expected to have sufficient knowledge and capability in utilizing their technology resources to ensure the firm's long-term viability and to enable them to continuously create innovations, which leads to improved firm performance and thus to their competitive market survival. By identifying the effect of the value chain as an intervening variable and identifying the difference between direct and indirect effects, this study also adds to previous research on the effects of technology capability and value chain on firm performance.

Orange Economy: definition and measurement – the case of Jordan

ABSTRACT Cultural and creative industries, also known as the Orange Economy, are characterized by both cultural and commercial value and considered as an important engine for economic growth and employment. Notwithstanding the increasing attention by policy makers worldwide, statistics relating to their economic contribution are still lacking and/or outdated. This study aims to provide an operational definition of the Orange Economy and suggest a pragmatic approach for estimating its direct economic impact, based on the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC-4). Applying this methodology to the case of Jordan for the period 2011–2018, it emerges that the Orange Economy has been almost duplicating its value added creation since 2011, to reach 2.4% of GDP in 2018. Further estimations reveal that, in 2018, the Orange Economy employed 3% of the workforce, profiling itself as labor intensive, and therefore, as a potential driver of employment.

Analisis Efisiensi Industri Manufaktur Besar dan Sedang di Provinsi Jawa Barat

Abstract: Purpose: This study aims to analyse technical efficiency of large and medium manufacturing industries (LMMIs) in West Java Province, Indonesia. Method: The slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) is used to accomplish the objective of the study. The output is measured by total output value in thousand rupiahs; while the inputs are: labour cost, cost of materials, cost of fuels, cost of electricity, and fixed capital cost. Results: This study uses data from the annual survey held by Statistics Indonesia of Central Java Province for the period of 2019. The LMMIs are divided into 24 different industrial classifications following the International Standard Industrial Classification of all Economic Activities (ISIC) Revision 4. Result shows that among 23 ISIC classifications, five of them are considered as efficient, they are: tobacco products; leather and related products and footwear; paper and paper products; coke, refined petroleum products, and electrical equipment. Limitations: This study is performed in a cross-sectional setting. It is recommended to conduct similar analysis in a panel data setting since more information of efficiency and changes in efficiency can be obtained. Contribution: Literature about assessing technical efficiency of manufacturing industry in Indonesia using SBM-DEA is quite limited; therefore, this study contributes to the literature by providing such analysis. Keywords: 1. data envelopment analysis 2. efficiency 3. large and medium enterprise 4. manufacturing industry 5. slacks-based measure

Measuring the ICT Sector in the Digital Economy

The article addresses the problem of measuring the Information and Communication Technology (ICT) sector and its relationship to the digital economy as defined in the OECD «Guidelines for Supply-Use Tables for the Digital Economy». Analysis of various concepts of the digital economy shows that the ICT sector is its key element. It is stressed that, in line with the OECD recommendations, the measurement of the digital economy should be based on the SNA satellite account, the core element of which are the Digital Supply-Use Tables (Digital SUTs). This approach enables to reflect most fully within a single statistical model integration of all phases of digital products (goods and services) circulation in the national economy.It is noted that the construction of ICT Supply-Use Tables (SUTs) is a critical self-contained task, as it provides a measurement framework for both digital (regardless of the model to be adopted) and (more broadly) information economy.It is stressed that the ability to capture the use of ICT products as well as the cost of their production depends significantly on the identification and valuation of digital products and industries in the Digital SUTs. The identification of such industries is now a major challenge because of the lack of separate activities in the existing industrial classifications that are characteristic for their constituent units.The article concludes with a presentation of the pilot estimates of ICT Sector SUTs core indicators obtained by the authors at the Economic Statistics Centre of Excellence, HSE University. The contribution of the sector to the GDP of the Russian Federation is analysed and its inter-sectoral linkages, both on the demand and supply side, are assessed. It is concluded that the full implementation of the Digital SUTs depends on the inclusion in the new International Standard Industrial Classification (ISIC) the additions necessary to identify and evaluate digital products and industries.

An Analysis of the International Law on Waste Statistics

The article contains an analytical review of the regulatory framework in the waste statistics. By summing up documentary evidences (conventions on protection of the population health and environment, objectives and indicators of Sustainable Development Goals, related with waste), it is demonstrated that waste statistics plays important role in identifying waste-specific problems, priority setting in waste management, formulating and implementing policy goals in waste management. &#x0D; It is shown that the waste statistics is collected by various international entities, and reports on waste generated in the process of economic activities are made up using two main classifications: International Standard Industrial Classification of All Economic Activities (ISIC), and Statistical Classification of Economic Activities in the European Community (NACE). The EU practices in the waste statistics are highlighted. The EU approach to waste treatment is based on “waste hierarchy”. In practice, a major part of EU countries collects the data on waste types by the List of Waste. After that, the conformity between the types of waste and EWC-Stat is set using the translation table given in Annex III to the Waste Statistics Regulation. Only several countries collect data by the reliance on EWC-Stat.&#x0D; Problems faced by the waste statistics are discussed (inadequate comparability of waste statistics due to different methods and definitions used in the data production; incomplete coverage of waste-specific issues by the official waste statistics), sources of these problems are determined. &#x0D; The analysis demonstrates that the waste statistics is a rather new field in EU, which evidence is the ongoing change in the EU regulatory framework. The countries producing waste data with reference to it or implementing it should do it by taking account for the most recent change. The need for harmonization of national methodologies in the waste statistics is highlighted.

Frequency of Anti-SARS-CoV-2 Antibodies in Various Occupational Sectors in an Industrialized Area of Northern Italy from May to October 2020.

The results of a voluntary screening campaign for the presence of anti-SARS-CoV-2 serum antibodies are presented, performed on workers in the highly industrialized province of Modena in northern Italy in the period 18 May–5 October 2020. The employment activities of the subjects that tested positive for anti-SARS-CoV-2 IgM and/or IgG antibodies were determined and classified using the International Standard Industrial Classification of All Economic Activities (ISIC). The distribution across different sectors was compared to the proportion of workers employed in the same sectors in the province of Modena as a whole. Workers with anti-SARS-CoV-2 serum antibodies were mainly employed in manufacturing (60%), trade (12%), transportation (9%), scientific and technical activities (5%), and arts, entertainment and recreation activities (4.5%). Within the manufacturing sector, a cluster of workers with positive serological tests was observed in the meat processing sector, confirming recent data showing a possible increased risk of SARS-CoV-2 infection in these workers.

UNEXPLAINED WAGE GAPS IN THE TRADABLE AND NONTRADABLE SECTORS: CROSS-SECTIONAL EVIDENCE BY GENDER IN BOLIVIA

This document analyzes the gender wage gap between in tradable and non-tradable sectors. The tradable sector is defined by the value of exports and imports in an industry based on the four-digit codes of the International Standard Industrial Classification. Based on Gary Becker's work, in an economy prone to discrimination against women, the document proposes a model from which discrimination is possible if companies generate supra-normal profits. These benefits will be determined by market power, which in turn depends on the number of companies participating in the industry, so under the assumption that tradable sectors are directly influenced by international trade and with the possibility of greater competition, this competition will generate a trend towards normal benefits, making it impossible to finance discrimination against women, so the wage gender gap should be lower in tradable than non-tradable sectors. Using the traditional Oaxaca-Blinder decomposition and the Oaxaca-Blinder decomposition with Recentered Influence Function (RIF) regressions for the 2013 Household Survey, we find that unexplained wage differences against women are significantly lower in the tradable sector, suggesting that the impact of international trade on the tradable sector helps to reduce the gender wage gap in Bolivia.

ПІДХОДИ ДО КЛАСИФІКАЦІЇ ТОРГОВЕЛЬНИХ ПОТОКІВ ПІД ЧАС АНАЛІЗУ СТРУКТУРИ ТОВАРНОГО ЕКСПОРТУ

The quality of the analysis of the structure of merchandise exports depends on the groups of trade flows, according to which the study is carried out, therefore, the choice of the classification on the basis of which the analytical study of the export structure is carried out can give answers regarding the choice of the further direction of development of foreign trade. The article discusses the main approaches to the classification of trade flows, identifies their features, advantages and disadvantages. It has been determined that the most common of these are the Standard International Trade Classification (SITC), Lall classification used by the United Nations Conference on Trade and Development (UNCTADstat) and the International Standard Industrial Classification of All Economic Activities (ISGC) or The International Standard Industrial Classification of All Economic Activities (ISIC). The national classification of trade flows includes the Ukrainian Classification of Goods for Foreign Economic Activity (UKT FEA), compiled on the basis of the Harmonized System of Description and Coding of Goods and the Combined Nomenclature of the European Union (used in 207 countries), which promotes the closest relationship between foreign trade statistics and production statistics. Different classifications of trade flows are based on different approaches and different classification features. On the one hand, each classification should cover all groups of goods, on the other hand, show the quality component of exports. The Lall classification, which takes into account the technological complexity of exported goods, is most consistent with these two requirements. This classification is based on the available indicators of technological activity in production. It corresponds to the concept of most analysts regarding the technological rating of manufactured products. The success of a country's export directly depends on the quality of exported goods, therefore, the analysis of the structure of merchandise exports should be based on approaches that take this indicator into account.