Technological Innovation, the Kyoto Protocol, and Open Innovation

Kim, Yoomi

doi:10.3390/joitmc7030198

Cited by 3 publications

(12 citation statements)

References 53 publications

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“…Correspondingly, energy consumption, renewable energy share, electricity production from fossil fuels, and energy productivity had a significant relationship with GHG emissions. Energy consumption, inclusive of energy consumption per capita and electricity consumption, had the strongest positive association with GHG emissions over time in four studies (Ben Youssef et al., 2016; Hassan et al., 2021; Ketenci, 2018; Kim, 2021) and a lower strength association in a study by Tarazkar et al. (2021).…”

Section: Resultsmentioning

confidence: 92%

“…(2021), and the global analysis of 54 countries in 1990–2015 by Kim (2021), energy consumption and GHG emissions had a strong positive association. Authors explain that high energy consumption is tied to high economic development (Ben Youssef et al., 2016; Hassan et al., 2021; Kim, 2021), with most energy consumption still being met primarily via fossil fuel combustion (IPCC, 2022).…”

Section: Resultsmentioning

confidence: 95%

“…Consequently, the papers within our review overwhelmingly determined that a higher GDP had a positive association with GHG emissions over time. Only three studies found a negative association between GDP and GHG emissions over time (Awaworyi Churchill et al., 2018; Hassan et al., 2021; Shuai et al., 2017), and six studies revealed no significant association (Awaworyi Churchill et al., 2018; Brizga et al., 2021; Harris & Lee, 2017; Kim, 2021; Mundaca & Markandya, 2016; Sha et al., 2020). The mainly positive association between GDP and GHG emissions over time is attributed to higher income levels raising the consumption of fossil fuel‐based energy (Ben Youssef et al., 2016; Demiral et al., 2021; Khan et al., 2022; Zafar et al., 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Four studies analyzed the relationship between renewable energy and GHG emissions over time (Kim, 2021; Lorente & Álvarez‐Herranz, 2016; Saleem et al., 2020; Zafar et al., 2019). A select group of OECD countries had a strong negative association between renewable energy consumption (as a share of total energy consumption) and GHG emissions over time (Lorente & Álvarez‐Herranz, 2016), as did a grouping of 54 countries in a study by Kim (2021). Saleem et al.…”

Section: Resultsmentioning

confidence: 99%

“…For example, many authors focused their analysis on the association between economic growth and GHG emissions (Awaworyi Churchill et al., 2018; Ben Youssef et al., 2016; Demiral et al., 2021; Ketenci, 2018; Khan et al., 2022; Lorente & Álvarez‐Herranz, 2016; Saleem et al., 2020; Shuai et al., 2017; Terrell, 2021; Yusuf et al., 2019; Zafar et al., 2019). On the other hand, Kim (2021) focused on the influence technological innovation may have on reducing GHG emissions, Sha et al. (2020) explored the properties of Chinese cities and their association with GHG emissions, and Harris and Lee (2017) determined the relationship between material consumption and GHG emissions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

What drives greenhouse gas emissions? An international scoping review of academic studies in 2010–2019

McCurdy

Rhodes

2023

Climate Resilience

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Greenhouse gas (GHG) emissions have increased globally 10% in the last decade, but there is a large variation in emissions trajectories by country. Understanding the main drivers of recent changes in GHG emissions is important to guide effective climate action. Using a narrative scoping review of academic literature, we access 648 abstracts and review 30 studies to identify statistically significant independent variables that were associated with GHG emissions nationally and multinationally (i.e., in country groupings) during or overlapping the period 2010–2019. We describe the findings in terms of potential reasons for the positive or negative associations, outline the strength of associations relative to other variables within the same study, and compare the associations to findings in other studies. We find that population, energy consumption, and gross domestic product (GDP) per capita are the most common independent variables associated with increases in GHG emissions, whereas the square of GDP per capita and renewable energy production are associated with GHG reductions. We assign GHG drivers to seven categories: economic, energy, demographic, technology innovation, transportation, policy, and others. We conclude by discussing implications for future research and climate policy.

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Section: Resultsmentioning

confidence: 92%

Section: Resultsmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

What drives greenhouse gas emissions? An international scoping review of academic studies in 2010–2019

McCurdy

Rhodes

2023

Climate Resilience

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Can Pollution Regulations Enable Key Industries to Reduce CO2 Emissions?—Empirical Evidence from China, Based on Green Innovative Technology Patents and Energy Efficiency Perspectives

Zhang

2022

Atmosphere

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Under the influence of the dual policies of sustainable economic development and the national dual-carbon target, the establishment of an environmental protection department for the treatment of heavily polluting industries is imminent, and the country has launched pollution control policies and regulations to restrict the emission rights of heavily polluting industries. Therefore, this paper focuses on whether the restriction of emission rights in key industries has reduced carbon emissions. To achieve this, this paper uses panel data of prefecture-level cities in China from 2006 to 2019 and adopts a two-way fixed-effects DID model to systematically analyze the impact of the key pollution industry governance policies launched by the Ministry of Environmental Protection on CO2 emissions in 2017. And further analyze the role of variables such as green technology innovation patents and energy efficiency using this model, while parallel trend tests and placebo tests, and related policies are used to ensure the robustness of the regression results. This paper reveals that: (1) The heavy pollution industry governance policy implemented in 2017 can effectively reduce CO2 emissions in the cities of the treated group, and the effect is more significant in the year of policy implementation; (2) Green utility patents and energy-use efficiency are the effective mediating mechanisms to reduce CO2 emissions; (3) Over time, the effect of heavy pollution industry governance policy on CO2 emissions gradually decreases; (4) The reliability of the baseline regression results of this paper is proved by the use of parallel trend tests, placebo tests, and tests excluding the influence factors such as relevant policies in the same period. Therefore, the key polluting industries treatment policy launched by China’s Ministry of Environmental Protection in 2017 under the recent dual-carbon policy development goals formulated by China, can effectively reduce carbon emissions; however, in the future economic development process, the government should give more consideration to the continuity of the policy impact and its coherence on economic development when implementing the policy.

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The economic effect of the measures provided for by the Kyoto Protocol by region (as of the 2020s)

Miller¹,

Atakhanov²,

Guliyev³

et al. 2023

Scientific Horizons

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The Kyoto Protocol has become a promising component for solving one of the most urgent and discussed problems by scientists – air pollution. Therefore, it remains important to consider what has actually been achieved over the 17 years of the treaty; what effects (environmental or economic) prevail as a result of its action. In this research, special emphasis is placed on the impact of the Kyoto Protocol on certain regions, such as Europe, Asia, America and others. Thus, the purpose of the work is to demonstrate how this agreement influenced the development of countries in certain regions, what consequences it led to and how effective it turned out to be. The following research methods were used in the work: statistical, graphic, historical, modelling and forecasting. While writing the work, it was demonstrated what advantages and disadvantages the Kyoto Protocol has as a document for protecting the external environment. In addition, the authors described the main environmental benefits and economic losses from this agreement. The research has demonstrated that the Kyoto Protocol does reduce CO2 emissions in some regions and likely reduces the rate of growth in others. However, a general decline in industrial development was observed in the countries participating in the agreement. The authors conclude that it is currently impossible to say with certainty how effective this agreement will be, but its adverse political and economic consequences will be far less than the environmental benefits. In addition, regional features of the impact of the Kyoto Protocol on the development of local countries were considered. The work allows for a new perspective on the effectiveness of the Kyoto Protocol and provides new answers to questions about the usefulness of this document and the rationality of implementing its terms

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Technological Innovation, the Kyoto Protocol, and Open Innovation

Cited by 3 publications

References 53 publications

What drives greenhouse gas emissions? An international scoping review of academic studies in 2010–2019

What drives greenhouse gas emissions? An international scoping review of academic studies in 2010–2019

Can Pollution Regulations Enable Key Industries to Reduce CO2 Emissions?—Empirical Evidence from China, Based on Green Innovative Technology Patents and Energy Efficiency Perspectives

The economic effect of the measures provided for by the Kyoto Protocol by region (as of the 2020s)

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