PUBLICAÇÕES

Submitted
Submitted.
Silveira NJC, Ferraz D, Polloni-Silva E, de Mello DS, Falguera FPS, Moralles HF. Modeling the building blocks of country-level absorptive capacity: Comparing developed and emergent economies. Bulletin of Economic Research [Internet]. Submitted;n/a. Publisher's VersionAbstract
Abstract Several studies analyzed the importance of absorptive capacity (AC) to achieve economic development. However, to the best of our knowledge, no study compares the building blocks (BBs) of AC between developed and emergent economies. This paper aims to identify and analyze the impact of the BBs on AC under distinct levels of development (i.e., developed vs. emerging economies) using systematic literature review (SLR) and econometrics. Specifically, both linear and nonlinear analyses were employed. Our findings show that BBs in developed and emergent regions are different. For both groups, R&D, FDI (foreign direct investment), infrastructure, and HDI (human development index) variables are BBs of AC. For developed economies, BBs also contemplate secondary education enrollments, the higher education index, and the percentage of GDP spent on higher education. Moreover, the thresholds of BBs also differ between developed and emergent economies. This identification of BBs and possible AC thresholds is valuable, as it provides information to set goals and strategies before a foreign investment attraction policy. Thus, the results facilitate the development of more suitable strategies to enhance positive productivity spillovers and avoid negative spillovers whenever possible. These results show that policymakers cannot employ the same policies for the development of developed and emerging countries.
2022
Ferraz D, Moralles HF, da Costa NS, do Nascimento D. Complejidad económica y desarrollo humano: comparación de modelos de análisis envolvente de datos estándar y basado en holguras. Revista CEPAL. 2022.
Bao Z, Ferraz D, do Rebelatto DAN. Energy efficiency and China's sustainable carbon neutrality target: evidence from novel research methods quantile on quantile regression approach. Economic Research-Ekonomska Istraživanja [Internet]. 2022:1-23. Publisher's Version
Doğan B, Ferraz D, Gupta M, Huynh TLD, Shahzadi I. Exploring the effects of import diversification on energy efficiency: Evidence from the OECD economies. Renewable Energy [Internet]. 2022;189:639-650. Publisher's VersionAbstract
This study aims to unveil the heterogeneous impacts of import product diversification and institutional factors for achieving energy efficiency in Organization for Economic Co-operation and Development (OECD) countries. In doing so, the study employs robust econometric techniques such as Fully modified ordinary least squares (FMOLS) co-integration, pooled Ordinary Least Squares (OLS), Feasible Generalized Least Squares (FGLS), pool mean group regressions, fixed effects, and random effects for panel data from 1990 to 2015 for selected OECD countries. The detailed empirical outcomes suggest that import product diversification is conducive to reducing the energy and carbon intensity (improvement in energy efficiency) in OECD countries. The empirical conclusions provide various guidelines to achieve cleaner and greener growth and align with various Sustainable Development Goals (SDG 7: Affordable and clean energy, SDG 9: Industry, innovation, and infrastructure, and SDG 13: Climate action) of OECD countries. The paper elaborates fruitful policy suggestions regarding the diversification of imports and energy use-carbon emission-nexus for the OECD member nations. Based on the findings, policymakers and environmental scientists should strengthen the trade-energy and import portfolio policies to attain energy efficiency.
Lima PAB, Paião Júnior GD, Santos TL, Furlan M, Battistelle RAG, Silva GHR, Ferraz D, Mariano EB. Sustainable Human Development at the Municipal Level: A Data Envelopment Analysis Index. Infrastructures [Internet]. 2022;7. Publisher's VersionAbstract
The development of indexes for human development and environmental sustainability issues are an emerging topic in the current literature. However, the literature has put less emphasis on municipal indexes, which is the focus of this research. In this paper, we considered municipal environmental management as the adoption of environmental activities and the development of infrastructural and technical capacities in municipalities. This article aims to create a sustainable human development index with municipal data from the state of São Paulo in Brazil. Using information from the Municipal Human Development Index (IDHm) and the GreenBlue Municipal Program (PMVA), we applied the data envelopment analysis (DEA) technique to connect human development and environmental sustainability in 645 Brazilian municipalities. Our findings show that regions with higher human development present better DEA scores on the Sustainable Human Development Index. In contrast, regions with a low or a middle level of human development do not present significant change considering both dimensions. Moreover, our findings reveal that PMVA certification has a different and statistically significant impact on the DEA score considering certified, qualified, or not qualified regions. We found similar results for urbanized and service-oriented municipalities. Our indicator is an essential and straightforward tool for regional policymakers, helping to allocate resources and to find human development and environmental sustainability benchmarks among developing regions.
Shahzad U, Ferraz D, Nguyen H-H, Cui L. Investigating the spill overs and connectedness between financial globalization, high-tech industries and environmental footprints: Fresh evidence in context of China. Technological Forecasting and Social Change. 2022;174:121205.
Rafique MZ, Fareed Z, Ferraz D, Ikram M, Huang S. Exploring the heterogenous impacts of environmental taxes on environmental footprints: An empirical assessment from developed economies. Energy [Internet]. 2022;238:121753. Publisher's VersionAbstract
The Organization for Economic Co-operation and Development (OECD) economies face the challenges of rising energy demand, urbanization, and growing environmental issues (rising ecological footprint and less biodiversity). The primary objective of this article is to explore the role of environmental taxes and economic growth on the growing ecological footprint in 29 OECD economies. The autoregressive distributed lag (ARDL) approach and the related intermediate estimators are used to attain the purpose. The two substitute single equation estimators, DOLS, FMOLS, and fixed effect, are also employed to check the robustness of the ARDL estimator. Empirical results reveal that environmental-related taxes, economic growth, foreign direct investment, energy use, urbanization, renewable energy, and industrialization significantly influence the long-term ecological footprint in OECD countries. The dynamics of the studied variables got changed when time is considered. In the short-term, these dynamics are mixed while staying similar in the long-term across the OECD countries. This is attributed to varying levels of renewable energy use and industrialization progress in OECD countries. The empirical conclusions suggest that OECD economies need careful monitoring of environmental regulations for energy usage policies and cleaner production goals.
2021
Hartmann D, Ferraz D, Bezerra M, Pyka A, Pinheiro FL. Comparing Cars With Apples? Identifying the Appropriate Benchmark Countries for Relative Ecological Pollution Rankings and International Learning. Frontiers in Environmental Science [Internet]. 2021;9. Publisher's VersionAbstract
One of the most difficult tasks that economies face is how to generate economic growth without causing environmental damage. Research in economic complexity has provided new methods to reveal structural constraints and opportunities for green economic diversification and sophistication, as well as the effects of economic complexity on environmental pollution indicators. However, no research so far has compared the ecological efficiency of countries with similar productive structures and levels of economic complexity, and used this information to identify the best learning partners. This matters, because there are substantial differences in the environmental damage caused by the same product in different countries, and green diversification needs to be complemented by substantial efficiency improvements of existing products. In this article, we use data on 774 different types of exports, CO2 emissions, and the ecological footprint of 99 countries to create first a relative ecological pollution ranking (REPR). Then, we use methods from network science to reveal a benchmark network of the best learning partners based on country pairs with a large extent of export similarity, yet significant differences in pollution values. This is important because it helps to reveal adequate benchmark countries for efficiency improvements and sustainable production, considering that countries may specialize in substantially different types of economic activities. Finally, the article i) illustrates large efficiency improvements within current global output levels, ii) helps to identify countries that can best learn from each other, and iii) improves the information base in international negotiations for the sake of a cleaner global production system.
2021.
Ferraz D, de Oliveira FCR, do Rebelatto DAN, Pyka A. Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income. Gestão & Produção. 2021;28.
Silveira NJC, Ferraz D, de Mello DS, Polloni-Silva E, do Nascimento Rebelatto DA, Moralles HF. Determinants of Absorptive Capacity: a systematic literature review. Revista Gestão da Produção Operações e Sistemas. 2021;16(2):122.
Polloni-Silva E, Silveira N, Ferraz D, de Mello DS, Moralles HF. The drivers of energy-related CO 2 emissions in Brazil: a regional application of the STIRPAT model. Environmental Science and Pollution Research. 2021:1-18.
Ferraz D, Mariano EB, Manzine PR, Moralles HF, Morceiro PC, Torres BG, de Almeida MR, de Mello JCS, do Nascimento Rebelatto DA. COVID Health Structure Index: The Vulnerability of Brazilian Microregions. Social Indicators Research. 2021:1-19.
Polloni-Silva E, Ferraz D, de Camioto FC, do Rebelatto DAN, Moralles HF. Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities. Sustainability [Internet]. 2021;13. Publisher's VersionAbstract
There is much discussion on the non-linear relationship between economic growth and carbon dioxide (CO2) emissions. Additionally, the effects of Foreign Direct Investment (FDI) on the environment are ambiguous, as both beneficial (i.e., pollution-halo) and harmful (i.e., pollution-haven) effects were found. Therefore, the literature presents no consensus on either of these topics. This is especially problematic for developing regions, as these regions represent growing economies interested in receiving foreign investments, and their CO2-related research is limited. This study aims to understand the impacts of economic growth and FDI on the CO2 emissions of São Paulo state, Brazil. To perform this study, a unique dataset on regional FDI was built, and 592 municipalities were included. The analyses combine linear and non-linear estimations, and the results suggest a non-linear relationship between Gross Domestic Product (GDP) per capita and CO2 emissions, along with a negative association between FDI and CO2. Finally, this study discusses possible policy implications and contributes to the international literature.
Mariano EB, Ferraz D, de Oliveira Gobbo SC. The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis. Social Indicators Research. 2021:1-58.
Ferraz D, Falguera FPS, Mariano EB, Hartmann D. Linking Economic Complexity, Diversification, and Industrial Policy with Sustainable Development: A Structured Literature Review. Sustainability [Internet]. 2021;13. Publisher's VersionAbstract
Research on economic diversification and complexity has made significant advances in understanding economic development processes, but has only recently explored environmental and social sustainability considerations. In this article we evaluate the current state of this emerging literature and reveal 13 research gaps. A total of 35 different keywords and methods from structured literature reviews and network science helped to identify 374 scientific articles between 1988 and 2020 and revealed a fragmented research landscape around three larger network communities: (1) industrial policies, climate change, and green growth; (2) economic complexity and its association with inequality and environmental sustainability; and (3) economic diversification, including studies on livelihood diversification in poor areas. Economic complexity research applies new empirical methods and considers both social and environmental sustainability, but seldom scrutinizes theory and policy. Industrial policy research focuses on green growth policies but tends to omit social sustainability issues and advanced empirical methods. Research on economic diversification in poor regions provides insights on the livelihood diversification of farmers, but is disconnected from the economic complexity and industrial policy research. This review helps to summarize the main contributions and shows pathways for potential mutual learning between these communities for the sake of sustainable development.
2020
Shahzad U, Ferraz D, Doğan B, do Nascimento Rebelatto DA. Export product diversification and CO2 emissions: Contextual evidences from developing and developed economies. Journal of Cleaner Production. 2020;276:124146.
Mariano E, Torres B, Almeida M, Ferraz D, Rebelatto D, de Mello JCS. Brazilian states in the context of COVID-19 pandemic: an index proposition using Network Data Envelopment Analysis. IEEE Latin America Transactions. 2020;100(1e).
Ferraz D, Mariano EB, Rebelatto D, Hartmann D. Linking human development and the financial responsibility of regions: Combined index proposals using methods from data envelopment analysis. Social Indicators Research. 2020;150(2):439-478.
2019
Dall’agnol M, Ferraz D, da Costa N, Moralles HF, do Rebelatto DAN. R&D spillovers from international student flows: a brics analysis. Production. 2019;29.
2018
Ferraz D, da Costa NJ, Fernandes B, Silva EP, Marques PHM, Moralles HF, Rebelatto D. Analysis of absorptive capacity and foreign direct investment in the productivity of Brazilian municipalities. Production. 2018;28.
Ferraz D, Moralles HF, Campoli JS, de Oliveira FCR, do Rebelatto DAN. Economic complexity and human development: DEA performance measurement in Asia and Latin America. Gestão & Produção. 2018;25(4):839-853.
de Souza Soares T, de Oliveira FCR, Ferraz D. O efeito do salário mínimo sobre o mercado de trabalho de serviços domésticos no período de 2002 a 2013. Leituras de Economia Política (UNICAMP). 2018;27:1-19.
2017
Ferraz D, de Oliveira FCR. Impact of the National Professional Qualification Program (PNQ) on Income: An Econometric Analysis in Piracicaba/SP-Brazil. Pesquisa & Debate. Revista do Programa de Estudos Pós-Graduados em Economia Política. 2017;28(2 (52):105-123.
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Modeling the building blocks of country-level absorptive capacity: Comparing developed and emergent economies. Bulletin of Economic Research [Internet]. n/a(n/a). Publisher's VersionAbstract
Abstract Several studies analyzed the importance of absorptive capacity (AC) to achieve economic development. However, to the best of our knowledge, no study compares the building blocks (BBs) of AC between developed and emergent economies. This paper aims to identify and analyze the impact of the BBs on AC under distinct levels of development (i.e., developed vs. emerging economies) using systematic literature review (SLR) and econometrics. Specifically, both linear and nonlinear analyses were employed. Our findings show that BBs in developed and emergent regions are different. For both groups, R&D, FDI (foreign direct investment), infrastructure, and HDI (human development index) variables are BBs of AC. For developed economies, BBs also contemplate secondary education enrollments, the higher education index, and the percentage of GDP spent on higher education. Moreover, the thresholds of BBs also differ between developed and emergent economies. This identification of BBs and possible AC thresholds is valuable, as it provides information to set goals and strategies before a foreign investment attraction policy. Thus, the results facilitate the development of more suitable strategies to enhance positive productivity spillovers and avoid negative spillovers whenever possible. These results show that policymakers cannot employ the same policies for the development of developed and emerging countries.