The Sticky Truth: Analyzing the Employment Impacts of the Adhesive Industry

Research Paper

Georgios Giotis

This study develops an integrative theoretical framework to analyze the adhesive sector’s employment impacts by synthesizing input-output theory, labor demand theory, structural change theory, human capital theory, and cluster theory. Through this approach, the paper examines direct, indirect, and induced employment effects, emphasizing how technological shifts, such as automation and sustainable adhesive development, reshape labor dynamics and skill requirements. The study highlights the sector’s role in broader economic systems and discusses implications for workforce development in the context of environmental and technological transitions. By addressing a relatively underexplored area in the literature, the paper provides a conceptual basis for future empirical research and offers insights relevant for policymakers and industry stakeholders.

Keywords: Adhesive industry; Employment; Input-output theory; Labor demand; Human capital; Automation; Sustainability.

JEL Classification: L67, J23, D57, J24, O33, Q55

1. Introduction

The adhesive industry plays an important role across diverse sectors, such as manufacturing, construction, automotive, aerospace, and consumer goods, offering foundational support for product integrity and innovation. Globally, the sector’s economic footprint is substantial. According to market analyses, the global adhesives and sealants market was valued at approximately USD 123.04 billion in 2023 and is projected to continue growing in the coming years due to increasing demand from manufacturing, construction, automotive, packaging, and consumer goods industries (Spherical Insights & Consulting, 2025). Regionally, similar expansion patterns prevail. The U.S. adhesives and sealants market stood at USD 8.4 billion in 2021 and is on track for steady annual growth of around 4.7% to 2030 (Grand View Research, 2022), while Canada’s adhesive manufacturers are expected to reach CAD 1.1 billion by 2028 (CAGR 1.1%) (IBISWorld, 2025).

This sustained growth generates significant employment, both direct and indirect. For example, in Canada, adhesives and sealants manufacturers employed 2,036 workers, contributing CAD 1.3 billion in revenue, with further employment from upstream (3,010 jobs) and downstream (contractors, applicators, retailers) segments (Orr and Boss Consulting, 2023). In the United States, the specialized occupation of Adhesive Bonding Machine Operators and Tenders comprised nearly 11,800 workers in 2022, with about 40% female representation and average earnings of USD 39,200 (Data USA, 2024). While these figures are based on industry reports, they are used here to provide contextual background rather than as part of the analytical contribution.

The industry also supports employment through multiple channels. First, there is a direct employment impact, since manufacturing facilities employ operators, machine tenders, R&D personnel. U.S. adhesive manufacturing jobs declined slightly (about 1.1% annually from 2019-2024) but remain integral to industrial clusters (IBISWorld, 2025). Second, there are indirect effects. For instance, suppliers of raw materials (resins, packaging), distributors and retailers servicing contractors and DIY customers. Third, induced effects exist as workers spend incomes in local economies, benefiting other sectors.

Despite its importance, the sector’s workforce dynamics vary mainly due to technological and sustainability trends (e.g., waterborne adhesives, hot-melt technologies) which are reshaping labor requirements and are constantly creating new skill demands. Given this backdrop, a holistic examination, analyzing direct and upstream employment, assessing occupational trends and projecting future workforce needs, is essential. This analysis delves into the employment impacts of the adhesive industry, exploring economic contributions, labor dynamics, and policy implications amid evolving technological, environmental, and market forces.

More specifically, this study contributes to the theoretical understanding of labor dynamics in the adhesive sector in three ways. First, it synthesizes multiple economic frameworks – including input-output theory, labor demand theory, human capital theory, and structural change theory – to develop an integrative, sector-specific conceptual framework and derive theoretically grounded propositions linking technological change, industrial structure, and skill formation to employment outcomes. Second, it extends existing research by applying these theoretical perspectives to a relatively underexplored but economically relevant industrial context. Third, the paper provides a forward-looking discussion of how technological and environmental developments may influence labor structures and skill requirements. In doing so, it offers a structured conceptual perspective that can inform future empirical research and policy discussions. In particular, the paper identifies sector-specific mechanisms and conditional relationships that distinguish the adhesive industry from other manufacturing sectors. This allows the paper to move beyond an additive combination of theories and to develop a sector-specific theoretical explanation of employment dynamics in the adhesive industry.

This study adopts a conceptual research design in which selected academic contributions and industry reports are used to support theory development, rather than to conduct a formal systematic or scoping review.

For the purposes of this study, several key concepts are defined as follows. The ‘adhesive industry’ refers to the sector encompassing the production, formulation, distribution, and application of adhesive and sealant products across manufacturing, construction, and related activities. ‘Direct employment’ denotes jobs created within adhesive manufacturing firms, including production, research and development, and administrative functions. ‘Indirect employment’ refers to employment generated in upstream and downstream industries that supply inputs to or utilize adhesive products, such as chemical suppliers, logistics providers, and end-user industries. ‘Induced employment’ captures jobs created as a result of consumption expenditures by workers employed directly or indirectly in the adhesive sector, thereby reflecting broader multiplier effects within the economy.

2. Literature Review

2.1 Employment in the Adhesive Industry: Sector-Specific Literature

The adhesive industry has received comparatively limited attention in the academic literature, despite its important role across multiple manufacturing and construction sectors. Existing studies and industry reports emphasize the sector’s economic significance and its contribution to employment through both direct and indirect channels. For example, the European adhesive and sealant industry contributes significantly to the EU economy and directly employs tens of thousands of workers, while also supporting broader employment through its integration in supply chains(FEICA, 2014, Akbari and McClelland, 2020). Similarly, industry-level analyses highlight the role of adhesive manufacturing in generating employment not only within production facilities but also in upstream chemical industries and downstream application sectors such as construction and packaging (Orr & Boss Consulting, 2023; FEICA, 2014).

At the firm level, employment in the adhesive industry is shaped by production processes that combine chemical formulation, precision application technologies, and quality control systems. These characteristics create demand for a mixed workforce, ranging from machine operators and technicians to highly skilled research and development personnel. Evidence suggests that specific occupations, such as adhesive bonding machine operators, represent a distinct segment of the labor force with defined skill profiles and wage structures (Data USA, 2024). At the same time, technological developments – including automated dispensing systems and environmentally friendly adhesive formulations (Arán-Ais et al., 2012) – are increasingly influencing the structure of employment and skill requirements within the sector (Bogue, 2015, Archer, 1998).

However, the existing literature on the adhesive industry remains fragmented and largely descriptive. Most contributions focus on technological innovation, material science, or environmental considerations, such as the development of advanced or bio-based adhesives (Bogue, 2015, Cui and Liu, 2021), while employment-related analyses are typically embedded within broader discussions of the chemical or manufacturing industries (Ouanhlee, 2024). As a result, there is limited conceptual synthesis of how employment effects emerge within the adhesive sector itself, particularly in terms of the interaction between technological change, supply-chain integration, and labor market dynamics.

2.2 Employment Dynamics in Related Manufacturing Sectors

In contrast to the relatively limited literature on the adhesive industry, a substantial body of research examines employment dynamics in manufacturing and related industrial sectors more broadly. This literature provides important insights into how employment is shaped by factors such as technological change, globalization, and industrial restructuring (Ouanhlee, 2024).

A central theme in this research concerns the role of production linkages and employment multipliers. Input-output studies demonstrate that manufacturing industries generate employment not only directly within production facilities but also indirectly through upstream suppliers and downstream users. These interdependencies highlight the importance of considering sectoral employment effects within a broader economic system (Miller and Blair, 2009). The concept of indirect and induced employment has been widely applied in other sectors where similar multiplier effects are observed across interconnected industries (Ardahaey, 2011). In addition, a growing body of research in industrial organization and labor economics examines employment dynamics in technologically evolving manufacturing sectors, including chemicals, advanced materials, and high-value production systems. These studies emphasize the interaction between automation, skill-biased technological change, and global value chain integration, providing a relevant analytical foundation for understanding employment transformations in specialized industries.

Another important strand of literature focuses on technological change and automation. Studies in manufacturing sectors show that automation tends to reduce routine, low-skill tasks while increasing demand for higher-skilled labor, particularly in areas such as system operation, maintenance, and process optimization (Acemoglu and Restrepo, 2020). This shift is often accompanied by a growing emphasis on workforce adaptability, continuous training, and the development of new technical competencies (Becker, 1964).

In addition, structural change literature emphasizes the long-term transformation of economies toward more knowledge-intensive and service-oriented activities (Herrendorf et al., 2014). Within this context, manufacturing sectors increasingly integrate advanced technologies and sustainability-oriented innovations, which reshape both production processes and employment structures. Environmental and regulatory pressures, such as those related to emissions and material sustainability, further contribute to this transformation by encouraging the adoption of cleaner production methods and circular economy practices (Pei et al., 2024, Wojnarowska et al., 2021).

While these studies provide valuable theoretical and empirical insights, they typically analyze manufacturing industries at an aggregated level (Rani et al., 2025). As a result, sector-specific characteristics -such as the technological particularities and supply-chain roles of the adhesive industry- are not explicitly addressed. This creates a disconnect between general theoretical insights and their application to specific industrial contexts.

2.3 Synthesis and Research Gap

The comparison between adhesive-industry-specific studies and broader manufacturing literature reveals a clear gap in the existing research. On the one hand, sector-specific analyses highlight the economic relevance of adhesives and their integration within complex industrial value chains, but they rarely adopt a systematic theoretical perspective on employment dynamics (FEICA, 2014). On the other hand, the broader manufacturing and labor economics literature offers well-developed theoretical frameworks -such as input-output analysis (Miller and Blair, 2009), labor demand theory (Hamermesh, 1993), and human capital theory (Becker, 1964) – but does not explicitly address the adhesive industry.

This fragmentation suggests the need for an integrative approach that combines sector-specific insights with established theoretical perspectives. In particular, there is a lack of conceptual frameworks that systematically link firm-level labor decisions, sectoral interdependencies, and macroeconomic structural changes within the context of the adhesive industry.

Addressing this gap, the present study develops an integrative conceptual framework that brings together multiple theoretical approaches to analyze employment effects in the adhesive sector. By synthesizing these perspectives, the paper aims to provide a more structured understanding of how employment is generated, transformed, and distributed across different levels of the economy.

3. Theories on the Employment Effects of Adhesive Industry

This study is grounded in a multi-disciplinary theoretical framework that draws from industrial organization theory, labor economics, and input-output economic modelling to analyze the employment impacts of the adhesive industry. These theories combine economic, labor market, and industrial organization theories to provide an integrative lens for analysis and are presented in what follows.

3.1 Input-Output Theory

At the macroeconomic level, Leontief’s Input-Output Model provides the foundation for assessing the adhesive industry’s employment impact across sectors. Adhesive production and consumption are integral to supply chains in manufacturing, construction, and consumer goods. As per Miller and Blair (2009), input-output analysis enables the quantification of both direct and indirect employment effects by examining inter-industry transactions (Miller and Blair, 2009). This approach is particularly suitable for capturing upstream (e.g., chemical suppliers) and downstream (e.g., packaging, construction) employment linkages.

3.2 Labor Demand Theory

Neoclassical labor demand theory posits that firms demand labor based on the marginal productivity of workers, relative to the wage rate (Hamermesh, 1993). In the adhesive industry, labor demand is influenced by factors such as automation, regulatory changes (e.g., restrictions on volatile organic compounds), and shifts in global supply chains. As production becomes more technology-driven, labor intensity may decline, though demand for skilled labor in R&D and green technology development may increase.

3.3 Structural Change Theory

Clark’s and Kuznets’ theories of structural economic transformation offer a framework to understand employment shifts as economies move from agriculture to industry to services (Rani et al., 2025). The adhesive industry, as part of manufacturing, is impacted by structural shifts toward high-tech and service-based economies, which may cause employment contraction in traditional roles but expansion in innovation, sustainability, and supply chain management.

3.4 Human Capital Theory

Becker’s (1964) human capital theory is employed to evaluate how the adhesive industry invests in workforce skills and training to adapt to new technologies and regulatory requirements (Becker, 1964). The increasing need for skilled labor in developing eco-friendly adhesives and automated manufacturing processes underscores the role of education and vocational training in employment dynamics.

3.5 Cluster and Spillover Effects

Porter’s (1998) cluster theory suggests that industry agglomeration leads to innovation, knowledge spillovers, and employment growth (Porter, 1998). The adhesive industry is often located near automotive, aerospace, or packaging hubs, where proximity to end-users and suppliers enhances productivity and labor demand.

Taken together, these theoretical perspectives provide a multi-level and integrative framework for analyzing employment dynamics in the adhesive industry (Bivens, 2019). Input-output theory captures macroeconomic interdependencies and the generation of direct, indirect, and induced employment effects across sectors. Labor demand theory explains firm-level employment decisions in response to productivity, wages, and technological change. Human capital theory highlights the role of skills, education, and workforce adaptation, particularly in the context of technological upgrading and sustainability transitions. Structural change theory situates these developments within broader long-term economic transformations toward more knowledge-intensive production systems, while cluster theory emphasizes the spatial dimension of employment effects through regional agglomeration and spillovers. Rather than operating in isolation, these theories interact to explain how technological change, industrial structure, and skill formation jointly shape employment outcomes at the firm, sectoral, and economy-wide levels.

4. Conceptual Framework and Theoretical Development

4.1 Conceptual Framework

This study develops a conceptual framework for analyzing employment dynamics in the adhesive industry by integrating multiple theoretical perspectives across different levels of analysis. The framework combines insights from labor demand theory, input-output theory, human capital theory, structural change theory, and cluster theory in order to explain how employment effects emerge within and beyond adhesive manufacturing activities.

Figure 1 presents the conceptual model developed in this study. The model distinguishes between firm-level, sectoral-level, and macroeconomic/regional mechanisms through which the adhesive industry may influence employment outcomes. Rather than viewing employment generation as a purely firm-based phenomenon, the framework conceptualizes employment effects as the result of interconnected technological, organizational, industrial, and spatial processes.


Figure 1. Conceptual model of employment dynamics in the adhesive industry.

The model links key drivers, mechanisms, levels of analysis, moderating conditions, and employment outcomes. Firm-level mechanisms mainly shape direct employment, sectoral input-output mechanisms generate indirect employment, and macroeconomic/regional mechanisms contribute to induced employment.

At the firm level, employment dynamics are primarily shaped by technological change, automation, and labor demand decisions. Technological upgrading and digitalization may alter production processes, influence workforce composition, and reshape the balance between routine and specialized labor tasks. While automation may reduce demand for certain routine activities, it may simultaneously increase demand for highly skilled technical, engineering, research, and regulatory personnel. Human capital theory is particularly relevant at this level because workforce adaptation depends on skill acquisition, training, and organizational learning. Consequently, employment effects at the firm level are not limited to job displacement but may also involve task reallocation and skill upgrading processes that contribute to direct employment generation.

At the sectoral level, the framework emphasizes the role of input-output relationships and supply-chain integration. Adhesives function as enabling intermediate inputs across numerous downstream industries, including construction, automotive manufacturing, packaging, electronics, furniture, aerospace, and consumer goods production. As a result, employment effects extend beyond adhesive-producing firms themselves and influence upstream suppliers and downstream manufacturing activities. Input-output theory helps explain how changes in adhesive production may generate indirect employment effects through supplier networks, industrial linkages, and production interdependencies. The framework also recognizes that the magnitude of these effects may vary depending on the degree of downstream industrial integration and the structure of regional manufacturing systems.

At the macroeconomic and regional level, employment outcomes are shaped by broader structural and spatial mechanisms. Structural change theory suggests that technological transformation and sustainability transitions may gradually alter industrial composition and labor-market structures over time. At the same time, cluster theory highlights the importance of regional concentration, industrial proximity, knowledge spillovers, and innovation ecosystems. In regions characterized by strong industrial clustering, adhesive manufacturing may contribute to broader employment multipliers through spillover effects, supplier specialization, and localized innovation dynamics. In addition, household consumption effects associated with industrial employment may further stimulate induced employment across related sectors and local economies.

The framework also incorporates a set of moderating conditions that influence the strength and direction of employment outcomes. These include regulatory intensity, product customization requirements, skilled labor availability, innovation capacity, and the degree of downstream industrial integration. For example, stricter environmental regulations may accelerate the transition toward sustainable adhesive technologies, thereby increasing demand for specialized research and compliance-related occupations. Similarly, industries characterized by high levels of product customization may remain more labor-intensive despite ongoing automation trends.

Figure 1 therefore conceptualizes employment dynamics in the adhesive industry as the outcome of interacting mechanisms operating across multiple levels of analysis. Direct employment effects emerge primarily through firm-level labor demand and workforce adaptation processes, indirect employment effects arise through supply-chain and inter-industry linkages, and induced employment effects develop through broader macroeconomic and regional spillovers. The framework thus moves beyond a static classification of theories and instead provides an integrative explanatory model linking technological change, industrial interdependencies, regional dynamics, and labor-market transformation within the adhesive industry.

4.2 Theoretical Propositions

Building on the conceptual model presented in Figure 1, this section develops a set of theoretical propositions concerning the mechanisms through which employment effects may emerge within the adhesive industry. The propositions are organized across firm-level, sectoral-level, and macroeconomic/regional dimensions and reflect the interaction between technological change, sustainability transitions, industrial linkages, and regional dynamics. In addition, the framework recognizes that employment outcomes are shaped by moderating conditions, including regulatory intensity, product customization requirements, innovation capacity, skilled labor availability, and the degree of downstream industrial integration.

At the firm level, employment dynamics are expected to be strongly influenced by technological change and automation. The increasing adoption of digital production systems, process automation, and advanced manufacturing technologies may reduce the need for certain routine manual activities while simultaneously increasing demand for highly specialized technical, engineering, regulatory, and research-related occupations. Consequently, employment transformation within adhesive manufacturing should not be understood solely in terms of job displacement, but also in relation to task reallocation and workforce adaptation.

Proposition 1. Technological change and automation within adhesive manufacturing are likely to reduce demand for routine production tasks while increasing demand for specialized technical, engineering, and regulatory skills.

The effects of automation, however, are unlikely to be uniform across firms and regions. The ability of firms to adapt to technological transformation depends significantly on human capital availability, workforce training, and innovation capacity. Firms operating within regions characterized by stronger technical education systems and higher levels of industrial specialization may therefore experience more positive employment adjustment outcomes than firms facing significant skill shortages.

Proposition 2. The employment effects of automation in the adhesive industry are moderated by skilled labor availability, workforce adaptation capacity, and regional innovation systems.

The framework further suggests that sustainability transitions may create new employment opportunities within adhesive manufacturing. Increasing regulatory pressure regarding environmental performance, emissions reduction, product safety, and circular production systems is likely to stimulate investment in bio-based adhesives, sustainable materials, and environmentally compliant production processes. Such transitions may increase demand for occupations associated with research and development, environmental compliance, product testing, and specialized production activities.

Proposition 3. Sustainability transitions within the adhesive industry are more likely to generate net employment gains when firms possess strong innovation capacity and access to highly skilled labor.

At the sectoral level, the adhesive industry exhibits extensive interdependencies with upstream suppliers and downstream manufacturing sectors. Because adhesives function primarily as enabling intermediate inputs rather than final consumer products, changes in adhesive production may influence employment conditions across broader industrial networks. Input-output linkages are therefore expected to generate substantial indirect employment effects through supplier relationships, downstream manufacturing integration, logistics, packaging, maintenance, and specialized industrial services.

Proposition 4. Stronger upstream and downstream industrial linkages are expected to increase indirect employment effects associated with adhesive manufacturing activities.

The magnitude of these indirect effects may vary considerably depending on the structure of regional manufacturing systems and the degree of downstream industrial integration. Regions characterized by dense manufacturing ecosystems may experience stronger employment multipliers because adhesive technologies are embedded simultaneously across multiple interconnected production chains.

Proposition 5. The indirect employment effects of the adhesive industry are likely to be stronger in regions characterized by high levels of manufacturing integration and industrial clustering.

At the macroeconomic and regional level, the framework also emphasizes the importance of structural change and regional spillover dynamics. Industrial clustering may facilitate knowledge diffusion, supplier specialization, labor mobility, and collaborative innovation processes, thereby strengthening regional employment generation. In addition, employment generated within adhesive manufacturing and related sectors may stimulate household consumption effects that contribute to induced employment across local economies.

Proposition 6. Regional clustering and industrial proximity are likely to strengthen employment multipliers through knowledge spillovers, supplier specialization, and localized innovation dynamics.

Taken together, these propositions suggest that employment dynamics in the adhesive industry emerge through interacting mechanisms operating across multiple levels of analysis. Direct employment effects arise primarily through firm-level labor demand and workforce adaptation processes, indirect employment effects emerge through supply-chain integration and industrial interdependencies, and induced employment effects develop through broader macroeconomic and regional spillovers. The framework therefore conceptualizes employment generation not as an isolated outcome of production activity, but as the result of interconnected technological, organizational, industrial, and spatial processes.

4.3 Sector-Specific Theoretical Insights

The adhesive industry exhibits several characteristics that distinguish its employment dynamics from those of many other manufacturing subsectors. Unlike industries focused primarily on final consumer goods, adhesive manufacturing operates largely as an enabling intermediate-input sector embedded across a broad range of downstream production systems. Adhesive technologies are integrated into construction materials, automotive assembly, packaging systems, electronics manufacturing, furniture production, aerospace engineering, medical technologies, and consumer goods industries. Consequently, employment effects associated with adhesive manufacturing extend far beyond direct production activities and become closely connected to wider industrial ecosystems.

This cross-sectoral embeddedness gives the adhesive industry a distinctive employment structure. While direct employment is generated within adhesive-producing firms themselves, a substantial share of employment effects may emerge indirectly through supplier industries, downstream production activities, logistics networks, equipment manufacturing, technical services, and regulatory compliance systems. In some industrial contexts, indirect employment effects may exceed direct employment effects because adhesive technologies support production processes across numerous manufacturing sectors simultaneously.

The framework presented in Figure 1 therefore conceptualizes the adhesive industry not as an isolated manufacturing segment, but as a technologically embedded enabling industry whose employment impacts are distributed across interconnected value chains. This characteristic differentiates the adhesive industry from many manufacturing sectors where employment generation is concentrated primarily within final-product production.

The sector-specific role of adhesives also shapes the relationship between automation and employment transformation. In many traditional manufacturing activities, automation is often associated primarily with labor displacement. In adhesive manufacturing, however, technological upgrading may simultaneously increase demand for specialized occupations related to materials science, chemical engineering, sustainability management, digital production systems, environmental compliance, and product customization. As adhesive technologies become increasingly specialized and application-specific, firms may require more highly trained technical personnel capable of supporting innovation-intensive production systems.

At the same time, the employment consequences of automation are likely to vary according to product complexity and customer requirements. Standardized high-volume adhesive production may become increasingly automated, whereas customized industrial adhesive applications may continue to rely heavily on specialized technical expertise and close collaboration with downstream manufacturing clients. This suggests that automation and skill upgrading may coexist within the industry rather than operate as mutually exclusive processes.

The framework also highlights the importance of sustainability transitions as a distinctive driver of employment transformation within adhesive manufacturing. Regulatory pressure concerning emissions, recyclability, toxic substances, and environmental performance is likely to accelerate the development of bio-based adhesives, low-emission formulations, and circular production systems. These developments may generate additional employment demand in research and development, testing laboratories, environmental certification, process engineering, and specialized compliance functions.

Moreover, the industry’s strong integration into broader manufacturing systems amplifies the significance of regional and spatial dynamics. In regions characterized by industrial clustering, adhesive manufacturers may benefit from proximity to downstream producers, specialized suppliers, research institutions, logistics infrastructure, and skilled labor pools. Such regional ecosystems may strengthen innovation diffusion and employment multipliers while also increasing the adaptability of firms to technological and regulatory change.

In contrast to more isolated manufacturing activities, employment effects in the adhesive industry are strongly shaped by the intensity of downstream industrial integration. Because adhesive technologies are embedded across multiple value chains, relatively small technological, regulatory, or market changes within adhesive production may generate amplified employment effects across related sectors. This feature gives the adhesive industry a particularly important role within broader manufacturing ecosystems and helps explain why its employment dynamics cannot be fully understood through single-firm or single-sector perspectives alone.

Overall, the sector-specific insights developed in this study suggest that employment dynamics in the adhesive industry emerge through the interaction of technological change, industrial interdependencies, sustainability transitions, and regional clustering processes. The industry should therefore be understood as a strategically interconnected enabling sector whose employment effects extend across multiple layers of industrial organization and regional economic activity.

5. Labor Dynamics and Emerging Trends

This section describes how labor dynamics are shaped by industry structure, supply chains, technology, and regulation, and what emerging trends, such as automation and green adhesives, imply for future employment. First, regarding the industry structure and supply chains, the adhesive industry features extensive backward linkages to chemical producers and forward linkages to industries like automotive, construction, aerospace, and electronics. These inter-industry connections amplify labor demand beyond manufacturing plants into upstream and downstream sectors (Bivens, 2019). Regional variations in supplier density also influence local multiplier effects, as seen in regional I-O systems like RIMS II (Bureau of Economic Analysis, 1997).

Second, concerning technology and automation, manufacturers are integrating automated adhesive dispensing systems to improve precision and speed. This shift replaces manual tasks while increasing demand for technicians capable of operating and maintaining automated systems (Longo et al., 2017).

Third, with respect to regulation and environmental standards, the environmental regulations aimed at reducing VOC emissions and hazardous chemicals, can drive production toward waterborne or bio-based adhesives, reshaping production processes and skill requirements (Lucintel, 2024). Firms must invest in cleaner technology and green chemistry expertise, creating specialized roles in R&D and quality control oriented toward sustainability.

Within this framework, some implications of emerging trends can be identified. Initially, automation tends to reduce lower-skill roles but increases the need for higher-skilled staff for system configuration, monitoring, maintenance, and continuous improvement. In addition, the rapid growth in sustainable adhesives is driven by policy mandates and corporate sustainability initiatives. Transitioning to green adhesives expands roles in R&D, certification, process engineering, and sustainability compliance, which is demanding new skills in environmental chemistry, lifecycle assessment, and process design. It is also worth mentioning that these technological and regulatory transformations necessitate workforce reskilling and upskilling. Human capital theory suggests that investments in education and training are important to bridging skills gaps in green chemistry, digital operations, and smart manufacturing. Firms and policymakers must therefore design training programs aligned with these evolving needs.

Overall, labor dynamics in the adhesive industry are shaped by the interaction of supply-chain linkages, technological change, and regulatory pressures. These mechanisms jointly influence labor demand, skill requirements, and employment structures, forming the basis for further analytical and empirical investigation.

6. Future Research Directions

While this study provides a theoretical foundation for analyzing the employment impacts of the adhesive industry, significant opportunities remain for empirical and interdisciplinary research. First, there is a pressing need for empirical validation of employment multipliers specific to the adhesive sector. Existing estimates often aggregate adhesives into broader chemical or manufacturing categories, obscuring the sector’s distinct contribution to job creation. Input-output and computable general equilibrium modeling at regional and global levels could yield more precise employment figures and multiplier effects across upstream and downstream industries (Miller and Blair, 2009).

Second, future research should explore the labor market consequences of automation and digitalization in adhesive manufacturing. Future research should quantify the extent to which automation leads to job displacement versus skill upgrading in adhesive manufacturing. Comparative research could also draw on evidence from automation studies in related manufacturing sectors to determine whether adhesive production follows similar or divergent patterns (Narancic, et al., 2020).

Third, the rise of sustainable and bio-based adhesives presents fertile ground for research into green job creation. Future studies should examine how emerging technologies, such as bio-based adhesives and circular production models (Cui and Liu, 2021), reshape occupational structures across R&D, production, and compliance functions.

Fourth, there is scope for research into the regional clustering and global value chain integration of the adhesive industry. By applying cluster theory, scholars can examine how adhesives interact with adjacent industries such as automotive, aerospace, and packaging, and how these clusters foster innovation, productivity, and localized employment growth (Porter, 1998). Comparative studies across developed and emerging economies would help clarify how geographic and institutional contexts shape workforce outcomes.

Finally, future work should adopt longitudinal and interdisciplinary approaches to track how evolving regulations, trade policies, and sustainability agendas affect adhesive-sector labor markets. Combining labor economics, environmental studies, and industrial policy analysis could generate holistic insights into workforce transitions. For instance, integrating human capital theory with sustainability research could help design adaptive training systems that align labor supply with the industry’s transition toward greener and more technologically sophisticated production models (Becker, 1964).

In summary, advancing adhesive-sector employment research will require moving beyond conceptual frameworks toward empirical, cross-sectoral, and global perspectives. Such efforts will not only fill current knowledge gaps but also provide policymakers and industry leaders with evidence-based tools to navigate the adhesive industry’s role in shaping future labor markets.

7. Discussion

This section reflects on the broader significance of the analysis presented, considering its theoretical implications, alignment or divergence with existing literature, and relevance to policy and economic planning. It also addresses potential theoretical limitations and acknowledges alternative interpretations.

First, regarding the theoretical implications, the analysis suggests the relevance of multiple theoretical lenses, particularly input-output theory, labor demand theory, and human capital theory, in understanding employment dynamics within the adhesive industry. These arguments are consistent with existing empirical research (Wojnarowska et al., 2021). Furthermore, labor demand theory reinforces how firms respond to productivity-enhancing technologies, such as automation, by altering their skill composition and labor utilization (Hamermesh, 1993). The role of human capital theory is also reinforced, particularly in the context of the growing demand for specialized skills associated with sustainable adhesives and smart manufacturing. The increasing focus on eco-innovation reflects broader structural transformation toward knowledge-intensive production (Rani et al., 2025).

Second, with respect to consistency or contradiction with existing literature, the conceptual arguments are broadly consistent with patterns identified in empirical research, particularly regarding manufacturing’s high employment multipliers and supply-chain linkages. Report from the Economic Policy Institute confirm that manufacturing industries, including adhesives, exhibit total job multipliers ranging between 1.5 and 3.0, supporting the paper’s claim that adhesive production is expected to generate employment effects beyond direct production. However, there is limited empirical data specific to the adhesive sector in the peer-reviewed academic literature. Most data are embedded in broader manufacturing or chemical industry statistics, which introduces ambiguity in measuring adhesive-specific labor trends. This paper partially bridges that gap through theoretical generalization, yet it acknowledges that the employment structure in niche sectors (e.g., marine adhesives, electronics adhesives) may deviate from national manufacturing averages. Moreover, the theoretical stance on automation is cautiously optimistic, suggesting skill transformation rather than displacement, which partially contrasts with automation-focused literature that predicts significant job losses in mid-skill roles (Narancic et al., 2020). However, this divergence is mitigated by the industry’s unique reliance on precision, customization, and regulatory compliance, all of which resist full automation.

Finally, concerning the broader economic and policy meaning, the conceptual framework offers insights that may inform policy discussions. First, recognizing the adhesive industry’s indirect employment contributions strengthens the argument for including it in industrial policy discussions, particularly in regions with dense manufacturing clusters. Regional development agencies can use this theoretical framework to justify investment in adhesive technologies as a lever for broader employment gains. Second, the emerging demand for sustainable adhesives and digitalized production processes necessitates policy responses in workforce development. The need for mid-to-high skill training in chemical engineering, robotics, and sustainability aligns with ongoing discussions around the “just transition” to a green economy. Governments, industry associations, and educational institutions must therefore collaborate to ensure training and certification systems align with evolving industry demands. Third, trade and environmental policies that affect chemical inputs, emissions regulations, and circular economy initiatives will likely reshape employment patterns across the value chain. The paper’s framework supports the idea that labor policies must be integrated into environmental and industrial strategies to ensure resilience and fairness in labor market transitions.

Overall, the analysis suggests that the adhesive industry should be understood not as an isolated manufacturing segment, but as a node within interconnected industrial systems, where employment effects emerge through technological, structural, and spatial interactions. It is also important to note that the present study is conceptual in nature and does not provide empirical validation of the proposed relationships. As such, the arguments developed should be interpreted as theoretically grounded propositions rather than empirically confirmed findings.

8. Concluding Remarks

This study examined the employment dynamics of the adhesive industry through an integrative theoretical framework applying concepts from input-output theory, labor demand theory, human capital theory, and structural change theory. The analysis suggests that the adhesive sector, while often perceived as a niche manufacturing domain, may generate a broad spectrum of employment impacts. These include direct jobs within production facilities, indirect roles in supporting industries such as raw materials and logistics, and induced employment through household consumption effects.

The analysis shows that employment effects extend beyond direct production roles to include indirect and induced impacts across supply chains. By linking firm-level labor demand, sectoral interdependencies, and broader structural changes, the study provides a structured perspective on how employment is generated and transformed in this industry. While the analysis is conceptual, it offers a basis for future empirical research and contributes to understanding employment dynamics in specialized manufacturing sectors.

Statement of AI Usage

The author used generative artifical intelligence (AI) tools solely to support language editing and improve the clarity of expression during manuscript preparation. All conceptual development, literature synthesis, theoretical arguments, interpretation, and final content were developed, reviewed, and approved by the author, who takes full responsibility for the accuracy and integrity of the manuscript.

9. References:

Acemoglu, D., Restrepo, P. (2020): Robots and jobs: Evidence from US labor markets, Journal of Political Economy, 128 (6), pp. 2188-2244.

Akbari, M., McClelland, R.(2020): Corporate social responsibility and corporate citizenship in sustainable supply chain: a structured literature review, Benchmarking: An International Journal, 27 (6), pp. 1799-1841.

Arán-Ais, F. Pérez-Limiñana, M. Á. Sánchez-Navarro, M. M. Orgilés-Barceló, C. (2012): Developments in microencapsulation technology to improve adhesive formulations. The Journal of Adhesion, 88 (4-6), pp. 391-405.

Archer, B. (1998): Water based contact adhesives – new developments. International Journal of Adhesion and Adhesives, 18 (1), pp.15-18.

Ardahaey, F. T. (2011): Economic impacts of tourism industry. International Journal of Business and Management, 6 (8), pp. 206-215.

Becker, G. S. (1964): Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, University of Chicago Press, Chicago.

Bivens, J. (2019): Updated Employment Multipliers for the U.S. Economy, Economic Policy Institute, retrieved from http://epi.org/160282, accessed 18.06.2025.

Bogue, R. (2015): Recent innovations in adhesive technology. Assembly Automation, 35 (3), pp. 201-205.

Cui, C., Liu, W. (2021): Recent advances in wet adhesives: Adhesion mechanism, design principle and applications, Progress in Polymer Science, 116, 101388.

Data USA. (2024): Adhesive Bonding Machine Operators & Tenders, retrieved from https://datausa.io/profile/soc/adhesive-bonding-machine-operators-tenders, accessed 20.06.2025.

Hamermesh, D. S. (1993): Labor Demand. Princeton University Press, Princeton, New Jersey.

Herrendorf, B., Rogerson, R., Valentinyi, Á. (2014): Growth and Structural Transformation. Chapter 06 in Handbook of Economic Growth, 2, pp. 855-941, Elsevier, Amsterdam.

Adhesive manufacturing in Canada – Market research report (2015-2030). 2025, available at: https://www.ibisworld.com/canada/industry/adhesive-manufacturing/493/, accessed 15 June 2025.

(2025): Adhesive Manufacturing in Nova Scotia – Market Research Report, retrieved from https://www.ibisworld.com/canada/industry/nova-scotia/adhesive-manufacturing/16304/, accessed 15.06.2025.

Grand View Research. U.S. adhesives and sealants market size, Share & trends analysis report by technology, by end-use, by region (Northeast, Midwest, West, South), and segment forecasts, 2022-2030. 2022, available at: https://www.grandviewresearch.com/industry-analysis/us-adhesives-sealants-market-report. accessed 14 June 2025.

Longo, F., Nicoletti, L., Padovano, A. (2017): Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Computers & Industrial Engineering, 113, pp. 144-159.

(2024): Adhesives in Global Composites Market: Market Size, Trends and Growth Analysis, August 2024, retrieved from https://www.lucintel.com/adhesives-in-composites-market.aspx, accessed 20.06.2025.

Miller, R. E. Blair, P. D. (2009): Input-output analysis: Foundations and extensions (2nd ed.). Cambridge University Press, Cambridge.

Narancic, T. Cerrone, F. Beagan, N. O’Connor, K.E. (2020): Recent advances in bioplastics: Application and biodegradation. Polymers, 12, 920.

Orr & Boss Consulting. (2023): Economic Impact Report. Canadian Paint and Coatings Industry Making Real Contributions to Canada’s Economy, retrieved from https://canpaint.com/wp-content/uploads/2023/12/Economic-Impact-Report.pdf, accessed 14.06.2025.

Ouanhlee, T. (2024): The influence of the manufacturing industry environment, organizational structures, and economic trends on employee responsibilities in the manufacturing industry. Technology and Investment, 15 (1), pp. 39-76.

Pei, X. Italia, M. Melazzini, M. (2024): Enhancing circular economy practices in the furniture industry through circular design strategies. Sustainability, 16, 6544.

Porter, M. E. (1998): Clusters and the new economics of competition. Harvard Business Review, 76 (6), pp. 77-90.

Rani, A. Tyagi, S. Singh, A. Goel, A. Singh, S. K. Chauhan, A. (2025): Sustainable manufacturing for rubber waste industries with integrated circular economy. Discover Sustainability, 6 (263).

S. Department of Commerce, Bureau of Economic Analysis. (1997): Regional Multipliers. A User Handbook for the Regional Input-Output Modeling System (RIMS II), Third Edition, March 1997, retrieved from https://apps.bea.gov/scb/pdf/regional/perinc/meth/rims2.pdf, accessed 18.06.2025.

Spherical Insights & Consulting (2025): Global adhesives and sealants market size to worth USD 326.79 billion by 2033, available at: https://www.sphericalinsights.com/our-insights/adhesives-and-sealants-market, accessed 12 May 2026

(2014): The European Adhesive and Sealant Industry: Facts & Figures 2014, retrieved from https://www.feica.eu/application/files/4315/4089/9443/factandfigures14.pdf, accessed 16.06.2025.

Wojnarowska, M. Sołtysik, M. Guzik, M. (2021): Socio-economic importance of biomaterials in the transition to the circular economy model.

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