Submitted:
08 August 2024
Posted:
09 August 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review
3. Materials
4. Cluster Analysis
5. Panel Data Estimates
6. Policy Implications
7. Conclusions
Abbreviations
| Variable | Abbreviation |
| 21st Conference of the Parties to the United Nations Framework Convention on Climate Change | COP21 |
| Business sophistication index | BSI |
| Carbon Dioxide | CO2 |
| Domestic market scale | DMS |
| Environmental Kuznets Curve | EKC |
| European Union | EU |
| Extended producer responsibility | EPR |
| Foreign Direct Investment | FDI |
| Global Competitiveness Index | GCI |
| Global R&D companies, average expenditure top 3 | GRDC |
| Gross capital formation | GCF |
| Gross Domestic Product | GDP |
| Information and communication technologies (ICTs) | ICT |
| Infrastructure index | II |
| Purchasing Power Parity | PPP |
| Recycling rate of municipal waste | Recycling |
| Research and Development | R&D |
| Technology Readiness Level | TRL |
| United Kingdom | UK |
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| Macro-themes | References |
|---|---|
| Circular Economy and Waste Management | Zhang et al. (2022); Zorpas (2020); Ranjbari et al. (2021); Li et al. (2020); Salmenperä et al. (2021); Spooren et al. (2020); Tsai et al. (2020); Kurniawan et al. (2022); Bao & Lu (2020); Marino & Pariso (2020); Mhatre et al. (2021); Razzaq et al. (2021); Giorgi et al. (2022); Mak et al. (2020); Farrell et al. (2020); Pardini et al. (2020); Bui et al. (2020); Kabirifar et al. (2020); Duque-Acevedo et al. (2020); Kovacic et al. (2020); Massaro et al. (2021); Ciccullo et al. (2021); Donner et al. (2021); Xiao et al. (2020); Esparza et al. (2020); Fatimah et al. (2020); Aslam et al. (2020), Andreichenko, et al. (2021); Awasthi et al. (2021); Istrate, et al. (2020); Kulkarni & Anantharama (2020); Van Fan, et al. (2021); Pardini et al. (2020). |
| E-Waste and Technological Perspectives | Parajuly et al. (2020); Shittu et al. (2021); Rene et al. (2021); Arya & Kumar (2020); Ahirwar & Tripathi (2021); Patil & Ramakrishna (2020); Chidepatil et al. (2020); Mahrad et al. (2020); Jain et al. (2022); Awan & Sroufe (2022); Lv & Li (2021); Levidow & Raman (2020); Sala et al. (2021); Knickmeyer (2020); Delcea et al. (2020); Li et al. (2022); Solis & Silveira (2020); Vollmer et al. (2020); Azzaz et al. (2020); RameshKumar, et al. (2020); Yao et al. (2020), Imran et al. (2024); Mele et al. (2022); Magazzino et al. (2021c). |
| Environmental Impacts and Policies | Khan et al. (2022); Ding et al. (2021); Sauve & Van Acker (2020); Pham et al. (2020); Guo et al. (2021); Hainsch et al. (2022); Hoang et al. (2022); Chen et al. (2020); Kehrein et al. (2020); Nanda & Berruti (2021); Zhu et al. (2021); Abbasi et al. (2022); Khan & Kabir (2020); Chowdhury et al. (2020); Durán-Romero et al. (2020); Tan et al. (2021); Altıntaş & Kassouri (2020); Freeman et al. (2020); Jiang et al. (2021); Doğan et al. (2020); Moustakas et al. (2020); Cainelli et al. (2020); Klemeš et al. (2020); Bertello et al. (2022); Söderholm (2020); Sulich & Rutkowska (2020); Ojha et al. (2020); Alhawari et al. (2021); Zhang et al. (2021), Balsalobre-Lorente et al. (2021); Ferreira, et al. (2020); Jiang, et al. (2021); Ortega-Gras et al. (2021); Streimikiene et al. (2021), Magazzino and Falcone (2022), Magazzino, et al. (2020). |
| Variable | Acronym | Definition | Source |
|---|---|---|---|
| Recycling rate of municipal waste | Recycling | An environmental performance indicator that measures the proportion of municipal solid waste that is diverted from landfills and incineration to be recycled. It is expressed as a percentage of the total amount of municipal waste generated. This variable reflects the efficiency and effectiveness of a country's waste management systems in recovering valuable materials from the waste stream and reprocessing them into new products (Folz, 1999; Deus et al., 2019; Rios and Picazo-Tadeo, 2021). | Eurostat |
| Business sophistication index | BSI | The Business Sophistication Index (BSI) is a key component of the Global Competitiveness Index (GCI), developed by the World Economic Forum. It measures the quality of a country's business networks and the quality of individual firms' operations and strategies. The index captures the extent to which companies in a country are knowledgeable about and utilize sophisticated business practices and strategies. It includes factors such as the quantity and quality of local suppliers, the degree of cluster development, the nature of competitive advantage, the breadth of the value chain, the control over international distribution, the sophistication of production processes, the extent of marketing differentiation, and the willingness to delegate authority (Vesal et al., 2013; Rahayu, 2020; Benítez-Márquez et al., 2022). | Global Innovation Index |
| Domestic market scale | DMS | An economic variable that measures the total size of a country's domestic market, adjusted for purchasing power parity (PPP), and expressed in billions of PPP dollars. It represents the aggregate economic value of all goods and services produced and consumed within a country, adjusted for differences in price levels across countries. The adjustment for purchasing power parity ensures that the measure reflects the relative value of currencies and the cost of living, allowing for more accurate cross-country comparisons (Karacan and Kilickan, 2018; Nathaniel, 2019; Monadjemi and Lodewijks, 2021). | Global Innovation Index |
| Global R&D companies | GRDC | It refers to the average research and development (R&D) expenditure of the top three companies worldwide in terms of their investment in R&D activities. This metric highlights the leading companies' financial commitment to innovation, technological advancements, and the development of new products or services. The average expenditure of the top three R&D companies serves as a benchmark for understanding the scale of investment required to remain at the forefront of technological progress and competitive advantage. It also reflects the prioritization of R&D in maintaining market leadership and driving economic growth (Normile, 2018; Hernández et al., 2018; Honcharenko, 2020). | Global Innovation Index |
| Gross capital formation | GCF | An economic indicator that measures the total value of a country's investments in physical assets such as infrastructure, machinery, and buildings, expressed as a percentage of its Gross Domestic Product (GDP). This variable reflects the extent to which a nation is investing in its future productive capacity and economic growth (Södersten et al., 2018, Topcu et al., 2020, Aslan and Altinoz, 2021). | Global Innovation Index |
| Information and Communication Technologies (ICTs) | ICT | It refers to the technologies and infrastructure that enable the collection, processing, storage, and dissemination of information. ICTs encompass a wide range of digital and electronic systems, including the internet, telecommunications networks, computers, software, and digital services. This variable measures the penetration, usage, and impact of these technologies within a country and evaluates their role in fostering innovation (Albiman and Sulong, 2018; Pradhan et al., 2021; Asrani and Kar, 2022). | Global Innovation Index |
| Infrastructure index | II | The Infrastructure Index measures the quality and extent of a country's physical, technological, and digital infrastructure, which are essential for supporting and enhancing innovative activities. This index encompasses various components that collectively facilitate the effective functioning of businesses, enable research and development, and promote overall economic growth. It includes physical infrastructure such as transportation networks and utilities that provide foundational support for economic activities, technological infrastructure encompassing facilities and resources for research and development like laboratories and industrial parks, and digital infrastructure, which covers the availability and penetration of information and communication technologies (ICTs) such as high-speed internet access and mobile networks. The Infrastructure Index assesses how well these elements support the innovation ecosystem within a country (Chen et al., 2020; Wu et al., 2021; Du et al., 2022). | Global Innovation Index |
| Fixed Effects | Random Effects | |||||
|---|---|---|---|---|---|---|
| Variable | Coefficient | Std. Error | t-ratio | Coefficient | Std. Error | z |
| Constant | 50.8817*** | 6.19381 | 8.215 | 43.5323*** | 6.82770 | 6.376 |
| DMS | -0.257064*** | 0.0887423 | -2.897 | -0.172159** | 0.0854296 | -2.015 |
| GCF | 0.0870648*** | 0.0153959 | 5.655 | 0.0868121*** | 0.0152493 | 5.693 |
| ICT | -0.0566154*** | 0.0163305 | -3.467 | -0.0537621*** | 0.0161460 | -3.330 |
| II | 0.134669** | 0.0532181 | 2.531 | 0.0882195** | 0.0515054 | 1.713 |
| BSI | 0.295950*** | 0.0525492 | 5.632 | 0.257134*** | 0.0511852 | 5.024 |
| GRDC | -0.588393*** | 0.167083 | -3.522 | -0.445806*** | 0.161682 | -2.757 |
| Statistics | SSR Log-likelihood SER AIC HQIC SBIC |
5714.777 -959.8255 4.371838 1999.651 2060.638 2152.691 |
SSR Log-likelihood SER AIC HQIC SBIC |
111951.7 -1464.090 18.33552 2942.180 2952.853 2968.962 |
||
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