Collaborative management of environmental pollution and carbon emissions drives local green growth: An analysis based on spatial effects.

Collaborative management of environmental pollution and carbon emissions (CMPC) has been a major policy instrument to promote Sustainable Development Goals (SDG) in recent years. However, the relationship between the benefits and drawbacks of this environmental management practice for green growth in and around a local area remains to be clarified. Using 30 provinces in China during 2001-2019 as the object of analysis, we assessed the efficiency of local CMPC practices using the nonradial directional distance function (NDDF) model, predicted local green growth using the frontier green complexity index (GCI), and empirically examined the spatial effects, locational heterogeneity, and threshold characteristics of the relationship using the spatial Durbin model and the panel threshold model. Our study finds that although efficient CMPC does drive local green growth, the promotion effect is nonlinear with decreasing marginal effect. This effect is particularly obvious in economically developed regions with higher CMPCs, which will absorb resources from neighboring regions and create a "siphoning" effect. It was found that local financial support and foreign direct investment (FDI) can radiate green growth to neighboring regions; therefore, CMPC practice needs to pay more attention to the effect of joint governance, supplemented by financial and foreign investment policy tools, to better promote the green transformation of local economy.

Road map from dirty growth to sustainable green growth in Turkiye: Management of trade and financial processes?

This study examines how business, financial, monetary, and trade freedom influence Turkiye's green growth from 1995 to 2022, utilizing the ARDL approach to cointegration. Our results confirm the long-term cointegration among the variables. Robustness tests, such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS), consistently show that business and trade freedom hinder Turkiye's green growth. Financial freedom and monetary freedom consistently foster it. Business freedom and heightened trade freedom lead to increased fossil fuel consumption, whereas monetary freedom stabilizes Turkiye's currency, and financial freedom promotes entrepreneurship. Enhancing eco-friendly energy sources and investing in green technologies are crucial for promoting sustainable growth, reducing production costs, fostering entrepreneurship, and encouraging competition. The fact that the impact of these variables on green growth in Turkiye has not been studied before makes the study's findings novel.

The role of green growth and institutional quality on environmental sustainability: A comparison of CO2 emissions, ecological footprint and inverted load capacity factor for OECD countries.

Green growth is of great importance in terms of solving environmental problems and achieving sustainable development goals. However, the existing literature has not investigated how green growth affects environmental degradation and environmental sustainability variables. In light of this gap, this study aims to analyse the impact of green growth and institutional quality on CO2 emissions, ecological footprint and inverse load capacity factor in OECD countries by constructing three different models. The results of the analysis indicate that (i) green growth exerts a significant mitigating and differentiating effect on CO2, ecological footprint and inverted load capacity factor in the long run. This is evidenced by a 1% increase in green growth reducing CO2, ecological footprint and inverted load capacity factor by 0.563%, 0.373% and 0.198%, respectively. (i) The impact of green growth on CO2 and inverted load capacity factor in the long run is negative and statistically significant; (ii) the impact of green growth on CO2 and inverted load capacity factor in the short run is negative and statistically significant; (iii) the impact of institutional quality on deterioration is positive and significant in the long run; (iv) the impact of population on deterioration and sustainability is significant and mixed. The findings indicate that decision-makers in OECD countries should review green energy policies when setting the sustainable development goals, as environmental sustainability is more challenging than reducing pollution.

Towards inclusive green growth in China: Synergistic roles and mechanisms of new infrastructure construction.

Inclusive green growth (IGG) has been widely discussed for its emphasis on coordinating economic growth quality, social equity, as well as environmentally sustainable development. New infrastructure, representing network and information infrastructure construction, has emerged as a pivotal national strategy to stimulate socioeconomic progress, and its impact on the inclusive green growth deserves careful exploration. Employing the staggered difference-in-difference (staggered DID) approach, this study investigates the influence of new infrastructure on IGG based on Chinese prefecture-level city data from 2011 to 2019, taking advantage of the "Broadband China" strategy (BCS) as a quasi-natural experiment. The results indicate a significant enhancement in IGG due to new infrastructure construction, which remains tenable after rigorous robustness assessments. Further testing with the spatial Durbin DID method reveals that BCS has a significant positive spillover impact on IGG in neighboring areas. For its underlying mechanisms, new infrastructure construction enhances IGG mainly by reinforcing industrial structure supererogation, improving the urban innovation level, and developing digital inclusive finance. There is also evidence that heterogeneity highlights the advancing effects of IGG in the central region, non-aging industrial base cities and non-resource-based cities. This research sheds new light on the understanding of the effect of new infrastructure on promoting IGG through both conceptual and empirical aspects and is conducive to future policymaking for developing countries.

Fostering inclusive green growth in China: Identifying the impact of the regional integration strategy of Yangtze River Economic Belt.

Inclusive green growth has garnered significant attention from governments and international organizations worldwide. Utilizing data from 282 cities in China spanning from 2010 to 2020, this study employs the dual machine learning model and the chain mediated effect model to delve into the effects and internal mechanisms of the regional integration of Yangtze River Economic Belt on inclusive green growth. Our findings indicate that the regional integration of Yangtze River Economic Belt has a substantial influence on inclusive green growth, particularly in cities with a higher degree of marketization, non-industrial cities, and cities lacking natural resource advantages. Mechanistic analysis reveals that the regional integration of Yangtze River Economic Belt exerts its influence on inclusive green growth through three parallel development paths including enhancing urban innovation levels, fostering mass entrepreneurship, and promoting the advancement of digital financial inclusion. Furthermore, the chain mediated effect is supported. Additionally, the spatial spillover effect of target policy is observed. These findings offer empirical evidence regarding the impact of the regional integration of Yangtze River Economic Belt on inclusive green growth, and provide valuable insights for optimizing and enhancing inclusive green growth strategies in China and other emerging economies.

Promoting sustainable development: Revisiting digital economy agglomeration and inclusive green growth through two-tier stochastic frontier model.

In the global wave of digitization, digital economic agglomeration, as an emerging model, profoundly impacts the economy, environment, and society. Countries worldwide are formulating strategies and policies to promote the development of digital economic agglomeration, yet they also face challenges of widening digital divide and environmental sustainability. Existing research primarily focuses on the positive effects of the digital economy, with limited assessment of the dual effects of digital economic agglomeration on sustainable development. This study utilizes panel data from 282 Chinese cities between 2011 and 2021, employing a two-tier stochastic frontier model. It reexamines the dual impacts and intrinsic mechanisms of digital economic agglomeration, attempting to capture regional and temporal variations in the dual effects to address this research gap. The study shows that: (1) The positive effect of digital economy agglomeration is much more than the negative effect, resulting in a positive net effect that shows an overall increasing trend with significant regional disparities. (2) Digital economic agglomeration has a significant negative spatial spillover effect, promoting local inclusive green growth while inhibiting inclusive green growth in neighboring cities. (3) Regarding the mediating mechanisms, industrial structure, technological innovation and resource allocation efficiency have positive indirect effects on inclusive green growth, while environmental regulation intensity has a negative indirect effect, and it has a nonlinear effect under the threshold constraint of the mediating mechanisms. This study provides policy insights for promoting inclusive green growth, emphasizing the need to consider regional differences in resource distribution, ecological environment, and social demands. It advocates for the organic integration of the digital economy across different regions, reducing polarization effects, and enhancing diffusion effects.

Land use land cover change in the African Great Lakes Region: a spatial-temporal analysis and future predictions.

The African Great Lakes Region has experienced substantial land use land cover change (LULCC) over the last decades, driven by a complex interplay of various factors. However, a comprehensive analysis exploring the relationships between LULCC, and its explanatory variables remains unexplored. This study focused on the Lake Kivu catchment in Rwanda, analysing LULCC from 1990 to 2020, identifying major variables, and predicting future LULC scenarios under different development trajectories. Image classification was conducted in Google Earth Engine using random forest classifier, by incorporating seasonal composites Landsat images, spectral indices, and topographic features, to enhance discrimination and capture seasonal variations. The results demonstrated an overall accuracy exceeding 83%. Historical analysis revealed significant changes, including forest loss (26.6 to 18.7%) and agricultural land expansion (27.7 to 43%) in the 1990-2000 decade, attributed to political conflicts and population movements. Forest recovery (24.8% by 2020) was observed in subsequent decades, driven by Rwanda's sustainable development initiatives. A Multi-Layer Perceptron neural network from Land Change Modeler predicted distinct 2030 and 2050 LULC scenarios based on natural, socio-economic variables, and historical transitions. Analysis of explanatory variables highlighted the significant role of proximity to urban centers, population density, and terrain in LULCC. Predictions indicate distinct trajectories influenced by demographic and socio-economic trends. The study recommends adopting the Green Growth Economy scenario aligned with ongoing conservation measures. The findings contribute to identifying opportunities for land restoration and conservation efforts, promoting the preservation of Lake Kivu catchment's ecological integrity, in alignment with national and global goals.

Exploring socio-economic externalities of development scenarios. An analysis of EU regions from 2008 to 2016.

A great debate around development scenarios has come to define conversations around the economy and the environment, two dimensions that struggle to find a proper balance. In this paper we apply unconditional growth model analyses to a new and unique dataset of European regions between 2008 and 2016 and identify four development scenarios - green growth, green de-growth, black growth and black de-growth - characterized by different relationships between CO2 emissions and economic growth. We then map European regions across these four scenarios and describe the differences that occurred among regions in terms of socio-economic externalities, mainly competences, investments and well-being. Drawing on our analyses, we contribute to the debate on development scenarios and ecological macro-economics, as well as discuss implications for sustainability policy and research.

Green Environment-Social Protection Interaction and Food Security in Africa.

Expanding food production to commensurate with population growth has often come at a cost resulting from environmental problems. Industries generate pollutants that destroy the environment and negatively affect the level of food security. These trends threaten the sustainability of food systems and undermine the capacity to meet food security needs. Against this backdrop, this study examines how the green environment influences food security in Africa. To further articulate the novelty and contributions of the research to the extant literature, the study also examines the interaction effect of the green environment and social protection on food security. The study engaged panel data consisting of 37 African countries listed in the International Development Association (IDA) of the World Bank. The data was sourced from Food and Agricultural Organisation (FAO), Country Policy and Institutional Assessment (CPIA) and the World Development Indicators (WDI) for the period 2005 to 2019 and applied the system Generalised Method of Moments (SGMM). The result shows that a green environment and social protection are statistically significant and positively determine the level of food security in Africa. In addition, the result shows that a green environment and social protection interaction positively and significantly influence food security. The implication is that a 1% increase in the drive for a green environment may improve the level of food security by 0.8%. Also, increases in the level of social protection intervention may increase food security by 1.2%. The interaction between social protection and food security can increase food security by 0.96%. In summary, it is found that African countries under study have moderate social protection coverage and policy for environmental management and sustainability required to drive food security. The discussions of the findings and policy implications of the study are underscored in the paper.

Agroforestry Adoption Decision in Green Growth Initiative Programs: Key Lessons from the Billion Trees Afforestation Project (BTAP).

Adoption of agroforestry in the early spring under the green growth initiative programs, such as the Billion Trees Afforestation Project, has positively impacted crop productivity and plantation success in Pakistan. However, the timely adoption decision of agroforestry in the Hindu Kush Himalayan is still low, particularly among smallholders. Using a mixed-method approach, we examine the factors influencing smallholder households and community-level timely agroforestry adoption decisions. Findings show that the early and later decision-makers farmers had agricultural lands on riversides and primarily adopted agroforestry to protect their crops from devastating effects of winds and floods. In contrast, late adoption decision-makers adopted agroforestry for income diversification. Results of our logit model show that several household and community-level factors influence smallholders' timely adoption of agroforestry. The factors that positively affect the timely adoption of agroforestry include age-related factors, education, and the establishment/existence of functional community-based organizations. In contrast, political conflicts and tenure insecurity negatively affect smallholders' timely adoption of agroforestry. In-depth interviews with Village Development Committees members revealed that terrace farming, farms on riversides, communities without access to other energy sources, population growth, and low farm acreage ensured the timely adoption of agroforestry. The policy recommendations include strengthening collaborative efforts among community members, especially engaging educated old-aged farmers (elders of traditional communities) to increase adoption rates and land tenure security to ensure timely agroforestry adoption under the newly launched 10-BTAP.

Diverging or converging to a green world? Impact of green growth measures on countries' economic performance.

Green growth has emerged in recent years to respond to environmental problems caused by climate change and the scarcity of resources. However, today's green growth involves environmental, social and financial dimensions. In this context, many countries are currently seeking green growth for their economic development through the efficient use of their resources. This study aims to assess the impact of green growth performance on the economic development of countries. A quantitative approach was applied to a sample of 172 countries worldwide, and the formulated hypotheses were tested through multiple linear regressions estimated by the ordinary least squares method. The economic development of countries was measured by the Human Development Index (HDI) and measures the sustainability performance of countries by the Green Growth Index (GGI). The results of this study demonstrate that (i) the measures of green growth performance have a positive impact on the economic development of high-income, upper-middle-income, and lower-middle-income economies, (ii) in poorer economies, less is the contribution of green growth to economic development, mainly because they neglecting the social dimension despite the numerous existing projects in these economies for greater inclusion and (iii) green economic opportunities (green investment, green trade, green employment and green innovation) do not influence green economic development in all analysed economies. Consequently, suggestions were made for policymakers from different groups of countries to increase and accelerate their sustainable green growth. Literature on economic development and green growth is still scarce, especially at the empirical level, and few studies use the 2020 GGI data. In addition, this study also uses recent rankings of world economies to categorize the economic development of countries.

Realizing the values of natural capital for inclusive, sustainable development: Informing China's new ecological development strategy.

A major challenge in transforming development to inclusive, sustainable pathways is the pervasive and persistent trade-off between provisioning services (e.g., agricultural production) on the one hand and regulating services (e.g., water purification, flood control) and biodiversity conservation on the other. We report on an application of China's new Ecological Development Strategy, now being formally tested and refined for subsequent scaling nationwide, which aims to mitigate and even eliminate these trade-offs. Our focus is the Ecosystem Function Conservation Area of Hainan Island, a rural, tropical region where expansion of rubber plantations has driven extensive loss of natural forest and its vital benefits to people. We explored both the biophysical and the socioeconomic options for achieving simultaneous improvements in product provision, regulating services, biodiversity, and livelihoods. We quantified historic trade-offs between rubber production and vital regulating services, finding that, over the past 20 y (1998-2017), there was a 72.2% increase in rubber plantation area, leading to decreases in soil retention (17.8%), water purification [reduced retention of nitrogen (56.3%) and phosphorus (27.4%)], flood mitigation (21.9%), carbon sequestration (1.7%), and habitat for biodiversity (6.9%). Using scenario analyses, we identified a two-pronged strategy that would significantly reduce these trade-offs, enhancing regulating services and biodiversity, while simultaneously diversifying and increasing product provision and improving livelihoods. This general approach to analyzing product provision, regulating services, biodiversity, and livelihoods has applicability in rural landscapes across China, South and Southeast Asia, and beyond.

Coupling coordination degree for urban green growth between public demand and government supply in urban agglomeration: A case study from China.

The public demand for urban green growth (UGG) varies greatly due to climate conditions, resource endowments, geographical location; thus, understanding the coupling relationship between public demand and government supply is important to optimize government investment. This paper aims to evaluate the coupling coordination of UGG between public demand and government supply. An index system consisting of six aspects, including environment, society, economy, population, production and life, was used to evaluate the government supply. Meanwhile, citizens' demand was measured by the satisfaction for the six aspects. The coupling coordination degree model (CCDM) was established to analyze the government supply and public demand for UGG, and it was tested in the case of Shandong Peninsula urban agglomeration in China. The results indicated that citizens of Shandong Peninsula are basically satisfied, and the satisfaction for the environment, population and life is higher than the average value. From 2015 to 2019, the government supply level shows a trend of rising first and then declining, of which environment has been always at a high level for the five years. The coupling coordination degree of UGG shows the supply and demand in different cities of urban agglomerations is unbalanced, and the overall value of the eastern coast is higher than that of the western inland area. Moreover, the concept of relative satisfaction was put forwards, which is of great significance for regional policy. To improve UGG for a city, determining optimization objectives base on their evaluation results of coupling coordination degree and relative satisfaction is important, as well as the possible external reasons for the low coupling coordination degree.

Commitment of European SMEs to resource efficiency actions to achieve sustainability transition. A feasible reality or an elusive goal?

The European Union has built an interdependent framework to promote sustainability transition through commitment in resource efficiency (RE) actions as echoed in the European Green Deal. Although the factors affecting firms' decision to adopt a green strategy have been extensively explored, those affecting commitment remain unexplored. Thus, we study whether commitment of European SMEs to RE actions fosters sustainability transition and, what drives such commitment. Data includes more than 37,000 European SMEs from 2013 through 2017, combined with country-specific characteristics explored via a probit model with sample selection. Findings indicate that during the study period there has been a change in the structure of incentives of the firms, as in the beginning of the period, adoption of RE actions and future engagement were considered as independent decisions. We document that commitment is driven RE enhancers such as the implementation of new technological paradigms, cooperation, and specialized business advice while resource productivity, green energy, and competitiveness further foster commitment. Findings advocate that commitment in RE actions to achieve sustainability transition is a feasible reality. Efforts of policymakers should focus on further enabling RE committed firms by reducing policy red tape.

Green growth & sustainability transition through information. Are the greener better informed? Evidence from European SMEs.

The European Green Deal along with directives promoting Circular Economy support sustainability transition and foster green growth through developing appropriate funding. However, information on how to access such funding affects firms' decision to expand their business strategy. This paper investigates the effect of information about financing tools on the adoption of Circular Economy business activities by exploring whether the better-informed firms are 'greener' and what influences such decision through a switching endogenous regressor model to account for endogeneity and selectivity bias. Data on European SMEs is combined with country-specific characteristics and econometric results indicate that better informed firms are by 65 percentage points more likely to adopt an activity promoting Circular Economy, highlighting that awareness about funding tools is crucial for sustainability transition. Evidence advocates for mainstreaming information regarding funding sources to pave the way towards green growth. A rebound effect regarding the use of renewables is observed whilst evidence points towards the rejection of Porter Hypothesis. Policy makers should target in fostering a greener business environment for the firms that engage in Circular Economy practices through increased information on funding options. Findings are also pertinent to the ongoing discussion and policy agenda around acceleration of the transition to a greener European Economy.

The interaction of environmental systems and human development in a time of wild cards. A big data enhanced foresight study.

The article contributes to the research discussion around the human-natural and social-ecological systems by identification of a comprehensive list of global trends related to integrated interaction between environmental systems and human development, including climate change, pollution, new quality of economic growth, and challenges for education and healthcare. The foresight study behind it encompasses a combination of quantitative (big data ) and qualitative (expert) methods. This approach allows for a systemic vision of structural shifts, assessing their probability and impact. The outcomes of the study include the list of global environmental and human development trends and factors classified by STEEPV categories, their effects that split into opportunities and threats, and an assessment of their inter-relation and mutual impact. Policy implications focus on possible areas of intervention for sustainable growth.

The effects of green growth, environmental-related tax, and eco-innovation towards carbon neutrality target in the US economy.

This study aims to examine the nexus between green growth and carbon neutrality targets in the context of the USA while observing the role of ecological innovation, environmental taxes, and green energy. For this purpose, data were collected from 1970 to 2015 for all the variables of interest. This research utilized the quantile autoregressive distributed lag (QARDL) method due to its various benefits, such as depicting the causality patterns based on different quantiles for different variables like green growth, ecological innovation, environmental taxes, and renewable energy. The findings through the QARDL method showed that the error correction coefficient was significant and negative with the expected negative sign for the different quantiles. The findings showed a significant and negative impact of green growth, square of green growth, ecological innovation, and environmental taxes in determining the carbon dioxide (CO2) emissions for the USA's economy under the long-run estimation. Meanwhile, the outcome for the short-term estimation confirmed that the past and lagged values of CO2 emission were significantly and negatively linked with the current and lagged values of CO2 emission. On the other hand, it was found that green growth and square of green growth, ecological innovation, environmental taxes, and renewable energy played their vital role in reducing haze pollution like PM2.5. Besides, this research also covers the limitations and policy implications.

USA carbon neutrality target: Evaluating the role of environmentally adjusted multifactor productivity growth in limiting carbon emissions.

One of the most vital strategies to achieve sustainable development is to target green growth, which is pollution adjusted output growth rate. Since green growth addresses both economic performance and environmental sustainability, it is necessary for sustainable development. To gauge the environmental impact of increased output, researchers use conventional measure of output growth. However, these measures are not adjusted for pollution and hence, do not reflect the true growth performance of the economy. For this purpose, this study aims to investigate the role of green growth in limiting carbon emissions in the USA for the period of 1990-2019. The authors further examine the role of globalization and renewable energy consumption in affecting CO2 emissions of USA. The results show that in the long run, green growth, output, renewable energies, and globalization are important factors in affecting CO2 emissions of USA. The results of frequency causality test show that there is unidirectional causal relationship from output renewable energy consumption, green growth, and globalization to CO2 emissions in the long run and medium run. This study suggests interesting policies for achieving targets of carbon neutrality. There is a dire need to take instant actions to control climate change and to mitigate greenhouse gases (GHGs). To achieve the target of carbon neutrality, a downward adjustment of economic growth is necessary, which will help the country to abate the pollution emissions.

Disruptive innovation for inclusive renewable policy in sub-Saharan Africa: A social shaping of technology analysis of appliance uptake in Rwanda.

Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models and policy inconsistency. Social shaping of technology (SST) of household appliances provides a critical lens of understanding the involved socio-technical drivers behind these constraints. This study employs an SST lens to investigate appliance uptake drivers in 14,580 households in Rwanda, such that these drivers can aid in policy design for green growth at the grassroots level. The methodology includes an epistemological review of non-income drivers of appliance uptake. Empirical analysis using a binary logistic regression, based on which disruptive innovation pathways were derived for fostering green growth. Results showed that appliance uptake was highly gendered and skewed across the Ubudehe (social welfare) categories. ICT-devices like mobile phones and radios had a higher likelihood of ownership than welfare appliances like refrigerator and laundry machines. Fans and cookers also demonstrated a greater probability of ownership. Disruptive innovation pathways were derived from leveraging the ICT-driven wave of appliance ownership, creation of service sectors through off-grid renewable solutions and promoting cleaner fuel-switching of cooking energy at the household level. Further policy implications were drawn to support the creation of consumption identities for green growth.

The United States: conditions for accelerating decarbonisation in a politically divided country.

President Biden faces tremendous challenges to overcome political polarisation as he re-commits the United States to the Paris Agreement on Climate Change and promises decarbonisation of the US economy over the next three decades. To achieve deep decarbonisation, recent scholarship identifies the crucial role of broad policy mixes that create reinforcing effects between climate and energy policies to trigger technological innovation, restrict polluting activities, promote green growth, and ensure just energy transitions. Drawing on this literature, the article explores the conditions for developing such policy mixes in the US context in three policy phases. How and why have key policy conditions developed differently in the climate- and energy policy fields, and to what effect for decarbonisation policies? The analysis shows that growing political polarisation blocked bipartisan agreement, produced negative policy feedback, and caused instability in the climate policy field, whereas these mechanisms did not dominate the energy policy field. A more bipartisan approach to renewable energy policy allowed long-term experience and positive feedback in energy-policy programmes that helped to trigger technology innovation and subsequent GHG emissions cuts. Different policy conditions within these policy fields discouraged a coupling between them that could have facilitated green-growth policies. The economic shock caused by the coronavirus pandemic may potentially change policy conditions and build a path to deep US decarbonisation in the future, but only if political polarisation on climate change can be overcome.