Emerging market challenges

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Subscribe to the economic studies bulletin, viral acharya , viral acharya c.v. starr professor of economics - new york university, stern school of business carlos carvalho , carlos carvalho head of research - kapitalo investimentos, faculty - puc-rio fernanda nechio , and fernanda nechio vice president - federal reserve bank of san francisco eswar prasad eswar prasad senior fellow - global economy and development.

March 29, 2023

The papers summarized here are part of the Spring 2023 edition of the Brookings Papers on Economic Activity (BPEA) , the leading conference series and journal in economics for timely, cutting-edge research about real-world policy issues. The conference drafts of these papers were presented at the Spring 2023 BPEA Conference (recordings and slides are available via the link). The final versions were published in the Spring 2023 issue by Johns Hopkins University Press. Submit a proposal to present at a future BPEA conference  here .

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Economists explored challenges and opportunities confronting three important emerging market economies—India, Brazil, and China—in papers prepared for a panel discussion at the Brookings Papers on Economic Activity (BPEA) conference on March 30.

India at 75: Replete with Contradictions, Brimming with Opportunities, Saddled with Challenges

Viral Acharya of New York University writes that India could potentially become “the next game in town” as international manufacturers adopt a “China Plus One” strategy of diversifying operations beyond China. But, to do so, it must focus on developing and maintaining sound policies, he writes.

India has experienced a K-shaped recovery since the start of the COVID-19 pandemic three years ago: Urban India has recovered but rural India lags behind, Acharya writes. He notes that, despite a booming stock market, India’s level of gross domestic product remains 6% lower than implied by its pre-pandemic trend.

“Much is at stake, for India and the world.”

However, India’s advantages include a strong interest in entrepreneurship among top university students, a healthy banking system, and what is considered the best “digital plumbing” in the world, he writes. To capitalize on its advantages, Acharya recommends that India focus on reforms in five areas:

  • Increasing its share of global goods trade by reducing its “way too high and protectionist” tariffs, perhaps through a calibrated three-year plan.
  • Dismantling its competition-stifling industrial conglomerates through trust busting or at least reducing their market power through legal and regulatory changes that make it economically unattractive for them to remain large.
  • Ensuring India’s bankruptcy code can handle large conglomerate bankruptcies by requiring them to prepare “living wills” to help plan their resolution and, independently, speeding up the 18- to 24-month time it takes to resolve defaulted companies.
  • Restoring macroeconomic balance by recommitting to reducing its budget deficits and by raising interest rates further to reduce inflation to the Central Bank of India’s 4% target.
  • Addressing skills and education gaps by, for example, setting up public charter schools to provide high-quality STEM (science, technology, engineering, and mathematics) education and by giving corporations incentives to bring more women into the labor force.

“Much is at stake, for India and the world,” Acharya writes. “It would be nice if India can get it right in the coming decade.”

Challenges to Disinflation: The Brazilian Experience

Carlos Carvalho of Kapitalo Investimentos and PUC-Rio and Fernanda Nechio of the Federal Reserve Bank of San Francisco write that two previous bouts of above-target inflation in Brazil suggest it could be economically costly for the country to bring its post-COVID-19 inflation down to the central bank’s target.

Brazil’s central bank adopted an inflation target in 1999 and confronted significantly above-target inflation from 2002 until 2005 and again in 2015 and 2016. In both cases, fiscal policy concerns were high and expectations for future inflation became unanchored from the target, the authors write. The central bank had to raise interest rates significantly to bring inflation down and restore its credibility—but both times at the cost of a recession, they write.

In response to the shutdowns and economic hardship created by the pandemic, Brazil, like many other countries, cut interest rates and quickly ramped up government programs to support households and businesses, the authors note. But, as in many other countries, fiscal and monetary stimulus, among other factors, contributed to a sharp increase in Brazil’s inflation since 2021. Expectations for future inflation became unanchored around September 2021 and, according to the authors, have slipped further since the presidential election in October 2022 and promises of considerable fiscal expansion.

“The combination of fiscal concerns and unanchored expectations in a high-inflation environment are all too familiar for Brazil,” the authors write. “The similarities between the two previous episodes suggest the path ahead for disinflation will be extremely challenging, unless policies change direction.”

They note that Brazil’s experience could offer lessons for other countries, perhaps even advanced-economy countries such as the United States and the United Kingdom, which also are experiencing above-target inflation. They note that even for those economies, policy credibility may be challenged.

Has China’s Growth Gone from Miracle to Malady?

Eswar Prasad of Cornell University and The Brookings Institution writes that China could continue to defy long-standing predictions of economic collapse if its leaders succeed in reforming its institutional framework, improving productivity, and strengthening its financial system.

China’s growth over the past three decades has been remarkable, Prasad writes. Its gross domestic product in 2022 was 73% of the United States’s gross domestic product, more than 10 times the 7% ratio in 1990. He discusses the sources of China’s growth and its vulnerabilities. He then highlights areas where reforms are needed for China to continue growing, albeit more moderately than earlier in its long expansion.

“The underpinnings of China’s growth seem fragile.”

According to Prasad, China’s vulnerabilities include a weak financial and institutional framework, a bloated state sector, and an authoritarian government. Nevertheless, through the years the government has maneuvered the economy around various “plausible doomsday scenarios,” he writes.

To maintain economic progress, China should better allocate resources within its economy to its most dynamic parts (the services sector and small- and medium-sized enterprises), Prasad writes. That requires fixing China’s banking system and financial markets and tightening regulation. China’s banks must remove bad loans to state enterprises from their balance sheets. And better corporate governance and accounting standards are needed to provide stock and bond investors with information about Chinese companies.

“The underpinnings of China’s growth seem fragile,” Prasad writes. “…Things that must end do often end suddenly and in unpredictable ways. Yet, if the government plays its cards right, one could equally well envision a more benign future for the Chinese economy.”

Acharya, Viral V. 2023. “India at 75: Replete with Contradictions, Brimming with Opportunities, Saddled with Challenges.” Brookings Papers on Economic Activity.  Spring. 185-215.

Carvalho, Carlos and Fernanda Nechio. 2023. “Challenges to Disinflation: The Brazilian Experience.” Brookings Papers on Economic Activity.  Spring. 217-241.

Prasad, Eswar. 2023. “Has China’s Growth Gone from Miracle to Malady?” Brookings Papers on Economic Activity.  Spring. 243-270.

Rogoff, Kenneth. 2023. “Comment on ‘Panel on Emerging Market Challenges.’”  Brookings Papers on Economic Activity.  Spring. 271-282.

Viral V. Acharya was deputy governor of the Reserve Bank of India from January 2017 to July 2019. The author did not receive financial support from any firm or person for this paper or from any firm or person with a financial or political interest in this paper. The author is not currently an officer, director, or board member of any organization with a financial or political interest in this paper.

Fernanda Nechio was deputy governor at the Central Bank of Brazil between July 2019 and May 2021. Carlos Carvalho was deputy governor of the Central Bank of Brazil between July 2016 and September 2019. The authors did not receive financial support from any firm or person for this paper or from any firm or person with a financial or political interest in this paper. The authors are not currently an officer, director, or board member of any organization with a financial or political interest in this paper.

Eswar Prasad is the Tolani Senior Professor of Trade Policy and professor of economics at Cornell University, and a senior fellow at the Brookings Institution. Brookings is financed through the support of a diverse array of foundations, corporations, governments, and individuals, as well as an endowment. A list of donors can be found in our annual reports published online here . The findings, interpretations, and conclusions in this paper are solely those of its author and are not influenced by any donation.

Papers prepared for this panel were guest-edited by Maurice Obstfeld.

David Skidmore authored the summary language for this paper. Chris Miller assisted with data visualization.

Emerging Markets & Developing Economies

Economic Studies

Brookings Papers on Economic Activity

Sope Williams, Landry Signé

August 7, 2024

Paul Muthaura, Oliver Glanvile

July 26, 2024

Chinasa T. Okolo, Landry Signé

July 24, 2024

Characteristics of Emerging Economies

Darden Case No. UVA-F-1453

26 Pages Posted: 30 May 2017

University of Virginia - Darden School of Business; Centre for Economic Policy Research (CEPR)

Robert F. Bruner

University of virginia - darden school of business, robert m. conroy, richard hoyer-ellefsen.

Today, roughly 30 countries are classified as "emerging markets" by the World Bank. Investor interest in these markets has grown substantially over time. During the first half of the 1990s, privatization and economic liberalization that took place across emerging market countries substantially enlarged the set of emerging market securities available to foreign investors and thereby provided a strong and decisive impulse for portfolio investments in emerging markets. The purpose of this technical note is to describe some key characteristics of emerging capital markets and compare them with those of developed and less-developed or frontier markets. This technical note is the first of three notes on emerging markets. See also UVA-F-1454 and UVA-F-1455. Excerpt UVA-F-1453 Investing in Emerging Markets Technical Note Series No. 1 CHARACTERISTICS OF EMERGING MARKETS Today, roughly 30 countries are considered to be in transition to higher levels of economic development and have hence earned the title “emerging markets” from the International Finance Corporation (IFC) of The World Bank. Initially (in 1981) the IFC emerging market index included stocks of publicly traded companies from nine countries. By 2002, the total number of countries covered in the IFC emerging market indices had reached 33. Standard & Poor's acquired the IFC indices in January 2000, and they are now known as the S&P/IFC indices. Investor interest in emerging markets has grown over time. Before 1980, little capital flowed into these markets due to the lack of financial products and services available to foreign investors and the perceived high market risk and volatility. Beginning in 1981, private portfolio investment in the emerging markets began to grow. During the first half of the 1990s, the privatization and economic liberalization that took place across emerging market countries substantially enlarged the set of emerging market securities available to foreign investors, who thereby developed a strong and decisive interest in them for portfolio investments. Net portfolio inflows to emerging markets peaked in 1994 at $ 113 billion, only to decrease sharply in the following years, mainly due to the widespread financial turmoil that affected these markets (the “Tequila Effects,” kicked off by the devaluation of the Mexican peso). The purpose of this technical note is to describe some key characteristics of emerging capital markets and compare them with those of developed and less-developed, or frontier, markets. Although other emerging market indices are available (e.g., Morgan Stanley's Capital International [MSCI] index), the S&P/IFC cohort is used in this technical note, because it includes a broader set of countries than competing indices. S&P/IFC considers a market to be “emerging” if it meets at least one of the following criteria: 1. It is in a low- or middle-income country, as defined by the World Bank, and . . .

Keywords: emerging markets

Suggested Citation: Suggested Citation

Wei Li (Contact Author)

University of virginia - darden school of business ( email ).

P.O. Box 6550 Charlottesville, VA 22906-6550 United States 804-243-7691 (Phone) 804-243-7681 (Fax)

HOME PAGE: http://www.darden.virginia.edu/faculty/li.htm

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  • Jun Li University of Huddersfield - UK [email protected]

Associate Editor

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  • Ondřej Dvouletý University of Economics in Prague - Czech Republic
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  • Gregory Chase West Liberty University - USA
  • Ajoy Kumar Dey Birla Institute of Management Technology - India
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  • Hans Hendrischke University of Sydney - Australia
  • Yasheng Huang MIT Sloan School of Management - USA
  • Javed Hussain Birmingham City University - UK
  • Caleb Kwong University of Essex - UK
  • Lee Li York University - Canada
  • Yipeng Liu Henley Management School - UK
  • Mirela Panait EU Energy Poverty Observatory - Romania
  • Vanessa Ratten La Trobe University - Australia
  • Annibal Scavarda Brigham Young University - USA
  • Claire Seaman Queen Margaret University - UK
  • Christine Volkmann Schumpeter School of Business and Economics - Germany
  • Wei Wang 2W China Investment Consulting Ltd - UK
  • Colin C Williams University of Sheffield - UK
  • Henry Yeung Wai Chung National University of Singapore - Singapore
  • Yuli Zhang Nankai University - People's Republic of China
  • Shuming Zhao Nanjing University - People's Republic of China

Editorial Review Board

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  • Abdullah Al Mamun Universiti Kebangsaan Malaysia - Malaysia
  • Manuel Alonso Dos Santos University of Granada - Spain
  • Amitabh Anand Excelia Business School - France
  • Jim Andersen University of Skövde - Sweden
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  • Andrea Appolloni University of Rome Tor Vergata - Italy
  • Jannett Ayup-Gonzalez Universidad Autonoma de Tamaulipas - Mexico
  • Samir Baidoun Birzeit University - Palestine
  • Odd Jarl Borch University of Nordland - Norway
  • Associate Professor N Campell University of Central Arkansas - USA
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  • Mine Cinar Loyola University Chicago - USA
  • Joana Costa University of Aveiro, Portugal
  • Shuanping Dai University of Duisburg-Essen - Germany
  • Karen Elliott Newcastle University - UK
  • Natasha Evers National University of Ireland Galway - Ireland
  • Gaston Fornes University of Bristol - Afghanistan
  • Chandra Prakash Garg University of Petroleum & Energy Studies - India
  • Daphne Halkias International School of Management-Paris - France
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  • Young-Ah Kim University of Essex - UK
  • Marcos Komodromos University of Nicosia - Cyprus
  • Nishant Kumar Stockholm University - Sweden
  • Dr Rania Labaki University of Bordeaux IV - France
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  • Natanya Meyer University of Johannesburg - South Africa
  • Ali Muhammad Mohmand University of Peshawar - Pakistan
  • Oscar Montiel Universidad Autónoma de Ciudad Juarez - Mexico
  • Sandra Morioka Federal University of Paraíba - Brazil
  • Imtiaz Mostafiz University of Bolton - UK
  • Atthaphon Mumi Mahasarakham University - Thailand
  • Hina Munir Northwestern Polytechnical University - People's Republic of China
  • Anayo D Nkamnebe Nnamdi Azikiwe University - Nigeria
  • Nieves Arranz Peña Universidad Nacional de Educacion a Distancia - Spain
  • Jingjing Qu University of Essex - UK
  • Mário Raposo Universidade de Beira Interior - Portugal
  • Dr John Rice Griffith University - Australia
  • Nádia Simões ISCTE Business School, Portugal - Portugal
  • Professor Étienne St-Jean University of Quebec - Canada
  • Garry Wei Han Tan UCSI University - Malaysia
  • Boris Urban University of the Witwatersrand, Johannesburg - South Africa

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CiteScore 2023

Further information

CiteScore is a simple way of measuring the citation impact of sources, such as journals.

Calculating the CiteScore is based on the number of citations to documents (articles, reviews, conference papers, book chapters, and data papers) by a journal over four years, divided by the number of the same document types indexed in Scopus and published in those same four years.

For more information and methodology visit the Scopus definition

CiteScore Tracker 2024

(updated monthly)

CiteScore Tracker is calculated in the same way as CiteScore, but for the current year rather than previous, complete years.

The CiteScore Tracker calculation is updated every month, as a current indication of a title's performance.

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The Journal Impact Factor is published each year by Clarivate Analytics. It is a measure of the number of times an average paper in a particular journal is cited during the preceding two years.

For more information and methodology see Clarivate Analytics

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A base of five years may be more appropriate for journals in certain fields because the body of citations may not be large enough to make reasonable comparisons, or it may take longer than two years to publish and distribute leading to a longer period before others cite the work.

Actual value is intentionally only displayed for the most recent year. Earlier values are available in the Journal Citation Reports from Clarivate Analytics .

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Data is taken from submissions between 1st June 2023 and 31st May 2024 .

This figure is the total amount of downloads for all articles published early cite in the last 12 months

(Last updated: July 2024)

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This journal engages in a double-anonymous peer review process, which strives to match the expertise of a reviewer with the submitted manuscript. Reviews are completed with evidence of thoughtful engagement with the manuscript, provide constructive feedback, and add value to the overall knowledge and information presented in the manuscript.

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More reviewer information

Thank you to the 2022 Reviewers of the Journal of Entrepreneurship in Emerging Economies

The publishing and editorial teams would like to thank the following, for their invaluable service as 2022 reviewers for this journal. We are very grateful for the contributions made. With their help, the journal has been able to publish such high...

Thank you to the 2021 Reviewers of Journal of Entrepreneurship in Emerging Economies

The publishing and editorial teams would like to thank the following, for their invaluable service as 2021 reviewers for this journal. We are very grateful for the contributions made. With their help, the journal has ...

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Journal of Entrepreneurship in Emerging Economies - Literati Award Winners 2023

We are to pleased to announce our 2023 Literati Award winners. Outstanding Paper Another Silicon Valley? Tracking the...

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Journal of Entrepreneurship in Emerging Economies - Literati Award Winners 2022 

We are pleased to announce our 2022 Literati Award winners. Outstanding Paper Coronavirus (Covid-19) and en...

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Journal of Entrepreneurship in Emerging Economies - Literati Award Winners 2021

We are pleased to announce our 2021 Literati Award winners. Outstanding Paper Perseverance of effort and co...

Journal of Entrepreneurship in Emerging Economies (JEEE) is the first journal to focus on qualitative and quantitative research in all areas of business, entrepreneurship, marketing, and policies that inhibit or stimulate entrepreneurship, development and sustainability in emerging economies.

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Journal of Entrepreneurship in Emerging Economies (JEEE) takes an interdisciplinary approach and focuses on the changing contours of entrepreneurship research and training in Brazil, India, China, South Africa, and other emerging markets throughout the world. JEEE acquaints the readers with the latest trends and directions of explorations in the theory and practice of entrepreneurship.

For the research section, the JEEE considers high-quality theoretical and empirical academic research articles in the field of entrepreneurship, as well as general reviews.

The ‘Entrepreneurship in practice’ section publishes insights from industry, case studies, policy focus pieces and interviews with entrepreneurs. This section will consider both invited pieces and contributed pieces. The papers submitted to ‘Entrepreneurship in practice’ will be subject to an editorial review and not the standard double-anonymous peer review process associated with the other sections of JEEE .

Coverage will focus primarily on the following topics:

  • Government policy on entrepreneurship
  • International entrepreneurship
  • Small and medium-sized enterprises
  • Family-owned businesses
  • The innovator as an individual and as a personality type
  • New venture creation and acquisitions of a growing company
  • Entrepreneurial behaviour in large organizations
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  • All authors' details must be printed on a separate sheet and authors should not be identified anywhere else in the article.

Latest articles

These are the latest articles published in this journal (Last updated: July 2024)

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SDG 2 Zero hunger

Trade Policy Uncertainty, Financing Constraints, and Firm Innovation: Evidence from China

  • Published: 12 August 2024

Cite this article

emerging economy research paper

  • Shan Gao 1 &
  • Zheng Li 2  

38 Accesses

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In 2001, China’s accession to the World Trade Organization and the attainment of permanent Most Favored Nation (MFN) status from the USA significantly reduced external trade policy uncertainties for the country. Utilizing comprehensive data from 1998 to 2006, this paper employs a Difference-in-Differences (DID) regression approach to dissect the intricate relationship between trade policy uncertainties, financing constraints, and enterprise innovations. Our findings reveal that a notable decrease in trade policy uncertainties has considerably spurred innovation among Chinese enterprises, particularly for high-productivity firms and regions with advanced marketization. However, this effect is mitigated by financing constraints. The uniqueness of this paper lies in its detailed exploration of how trade policy uncertainties influence enterprise innovation through financing constraints. Specifically, the reduction in uncertainties boosts corporate profitability, fosters the growth of cluster commercial credit, and enhances credit resource allocation efficiency. Consequently, it alleviates financial pressures on enterprises, thereby facilitating innovation. While our data covers the period from 1998 to 2006, the insights remain relevant in the current global trade environment characterized by heightened uncertainties. Future research could validate these findings using updated data or investigate how emerging technologies like fintech and blockchain finance can alleviate financing constraints, thus aiding businesses in navigating trade policy uncertainties.

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Most-favored-nation treatment refers to the legal treatment provisions of trade treaties and agreements between countries. It is also known as “nondiscrimination treatment,” in which countries provide preferential benefits to each other, provide necessary convenience, and enjoy certain privileges in terms of import and export trade, taxation, navigation, etc. It usually refers to the preferential treatment, privileges, or immunities that the contracting parties give to each other in terms of trade, navigation, customs duties, civil legal status, etc., which are not lower than those currently or in the future to any third country.

The Smoot-Hawley tariff was a bill signed and promulgated by the then President of the United States, Hoover, in 1930. The bill raised the tariff of more than 20,000 goods imported by the United States from other countries to the highest level in history. At that time, the promulgation of the bill was opposed by a large number of scholars, and after the promulgation of the law, many countries also responded by imposing retaliatory tariff measures on the United States, which led to the rapid decline of global trade (the scale of world trade shrank by approximately 66% between 1929 and 1934), and became the catalyst of the Great Depression. With the establishment of the General Agreement on Tariffs and Trade (GATT) and the continuous progress of trade liberalization, the United States began to impose the most-favored-nation tariff on the countries with normal trade relations, and the Smoot-Hawley tariff was also basically put on the shelf. At present, it is only imposed on a few countries such as North Korea.

In 1998, the United States Congress passed a bill to change the name of MFN treatment to “Normal Trade Relations.”.

The data were collated by the author.

HS code is the World Customs Organization on the classification of international trade commodity standard catalog, used to unify the national customs on the classification of commodity definition standards, HS code full name “International Convention on the Harmonization System of Commodity Names and Coding System” (abbreviated as the HS code). By means of the HS code, commodities can be classified and customs can determine the corresponding duties to be imposed on different commodities and the management measures to be taken. The HS8 generation refers to the 8-digit customs product code and the HS6 generation refers to the 6-digit customs code.

CIC refers to the China Industry Classification system. It is widely used in the collection of official statistical data on companies and organizations throughout Mainland China. As defined in Chinese national standard number “GB/T 4754,” the China Industry Classification system identifies 95 different industry categories. For more details, see http://www.stats.gov.cn/xxgk/tjbz/gjtjbz/201710/t20171017_1758922.html .

In fact, we could use tariff data for any year prior to 2001 since they would all be the same.

Feenstra et al. ( 2002 ) and others sorted out the Class I tariff (MFN tariff) and Class II tariff (nonnormal trade relations tariff) imposed by the United States on China from 1989 to 2001. Considering that the data window period of the industrial enterprise database used in this paper is 1998–2006, we choose the United States tariff level in 1997 and use the logarithm of the tariff difference in the later regression. Referring to Brandt et al. ( 2017 ), we compare the tariffs of the HS6 products to the industry level of the fourth national economy (CIC4) first and then carry out a simple average.

For more details, please see from World Integrated Trade Solution (WITS) | Data on Export, Import, Tariff, NTM (worldbank.org).

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This research has been granted by two programs of Fujian Provincial Social Science Foundation, which are “Research on the Mechanism and Path of Digital Technology Empowering the High Quality Development of Rural Characteristic Advantage Industries in Fujian Province” (Project No. FJ2023C044) and “Research on the Mechanism and Path of Digital Transformation of Fujian’s Manufacturing Industry Empowering Export Resilience” (Project No. FJ2023C043).

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Gao, S., Li, Z. Trade Policy Uncertainty, Financing Constraints, and Firm Innovation: Evidence from China. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-02246-8

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Interdependent influences of reverse logistics implementation barriers in the conditions of an emerging economy.

emerging economy research paper

1. Introduction

2. research methodology, 2.1. reverse logistics implementation barriers.

Barriers Literature Source Reference
Lack of awareness of the importance of reverse logistics and its benefits[ , , , , , , , , , , , , , , , , ]
Lack of support and commitment of management to the implementation of reverse logistics[ , , , , , , , , , , , , , , , , , , , , , , , , ]
Resistance to change by employees[ , , , , , , , , , , , , ]
Lack of employee training, incompetence, and lack of qualified employees[ , , , , , , , , , , , , , , , , , , , , , , , , , , ]
Lack of systems for performance measurement and management [ , , , , , , , , , , , , , , , , , ]
Fear of failure regarding the implementation of reverse logistics [ , , , ]
Lack of corporate social responsibility of organizations [ , , , , ]
Lack of common understanding of best practices within the organization [ , , , , ]
Lack of adequate waste management practices [ , , , ]
Lack of strategic planning, goals, and plans regarding the implementation of reverse logistics[ , , , , , , , , , ]
The organization’s policy does not emphasize the importance of reverse logistics[ , , , , , , , , , , ]
Reverse logistics does not have priority over other activities and investments of the organization[ , , , , ]
Lack of cooperation with scientific institutions and professional associations to acquire knowledge and follow trends in the field[ , , , , ]
Inadequate internal and external communication in the organization and exchange of information on reverse product flows [ , , , , ]
Lack of capacity within the organization in terms of facilities and equipment for the implementation of reverse logistics[ , , , , , , , , , , , , ]
Lack of adequate technological and IT systems for the implementation of reverse logistics and monitoring of reverse product flows[ , , , , , , , , , , , , , , , , , , , , , , , , , , , ]
Difficulties in ensuring the required and uniform product quality[ , , , , , , , ]
Complexity of reverse logistics operations [ , , ]
Non-application and difficulties in designing products suitable for recycling and/or reuse[ , , , ]
Difficulties in cooperation and engagement of “third parties” for the application of reverse logistics (Third Party Logistics—3PL)[ , , , , , , , , , , , ]
Lack of initial capital for the implementation of reverse logistics[ , , , , , , , , ]
Lack of funds for employee training[ , , , , , ]
Lack of funds and investments in storage and material handling activities[ , , , ]
Lack of funds for reverse product flow monitoring systems[ , ]
High salary costs of employees in the field of reverse logistics [ , , ]
Uncertainty regarding the realized profit from the implementation of reverse logistics [ , , , , , , , , , , ]
High initial and operating costs of reverse logistics [ , , , , , , , , , , , , , , , , , , ]
Lack of economies of scale [ , , , , , , , ]
Financial burden of additional tax liabilities [ , , , , , ]
Lower economic value of the product at the end-of-life stage[ ]
Lack of financial resources to expand production [ ]
Higher costs due to the use of eco-friendly packaging [ , ]
High costs of storage and disposal of hazardous materials [ , , , ]
Inaccessibility of banking funds for the implementation of “green” technologies [ , , , , , ]
High procurement and maintenance costs and lack of investment in technological and IT systems for reverse logistics [ , , , , , ]
Costs of collecting used products[ , , , ]
Lack of public awareness of environmental protection needs[ , , , , , ]
No organization in the area of waste management and the existence of many informal practices [ , , , , , , , ]
Lack of adequate standards and practices in the field of recycling and reuse of products[ , , , , , , ]
Inadequate interpretation, difficulties in interpreting and applying legal norms in the field[ , , , ]
Lack of motivating regulations in the field[ , , , , , , , , , , , , ]
Difficulties in holding producers from other countries accountable[ , , , ]
Lack of support from professional associations and NGOs[ , , , ]
Users not aware of the rights and possibilities of product returns and its benefits[ , , , , , , ]
Perception of poorer product quality by users and promotion of the use of new products [ , , , , , , , , ]
Reverse logistics is not considered a critical aspect of market competitiveness and performance [ , , , , , , ]
Uncertainty of returns and demand for products [ , , , , , , , , ]
Lack of user awareness of the importance of reverse logistics [ , , , , , ]
Uncertainty regarding the quality and quantity of returned products [ , , , , , , , , , ]

2.2. The DEMATEL Method in Reverse Logistics Studies

2.3. development and collection of the survey questionnaire, 4. discussion, 5. conclusions.

  • The most common mistakes in the implementation of reverse logistics in organizations and how they can be prevented.
  • The employee competence and experience that is necessary to overcome barriers and how these contribute to the efficient and effective implementation and functioning of reverse logistics.
  • The presence of a connection between individual reverse logistics activities, the criteria for selecting adequate options, and the influence on improving the organization’s performance.
  • Comparisons and a better understanding of experts’ attitudes and opinions between developing and developed economies when overcoming reverse logistics implementation barriers.

Author Contributions

Data availability statement, conflicts of interest.

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Click here to enlarge figure

Barriers Barrier Groups
—Lack of expertise and knowledge on reverse logistics on the part of management Organizational and management barriers (OMB)
—Lack of expertise and knowledge on reverse logistics on the part of employees
—Resistance to changes (organizational and technical-technological) on the part of employees
—Inadequate internal and external communication in the organization on reverse flows of products
—Lack of cooperation with scientific institutions and professional associations to acquire knowledge and follow trends in the field
—Lack of management support
—Lack of adequate technical and technological capacitiesTechnical and technological barriers (TTB)
—Lack of systems for measuring and managing reverse logistics performance
—Difficulties in ensuring the required and uniform product quality
—Difficulties in designing products suitable for recycling and/or reuse
—Lack of financial resourcesEconomic, financial and market barriers (EFB)
—High initial cost and operating costs of reverse logistics
—Lack of banking funds for “green technologies,” lack of state incentives (e.g., tax reliefs) and legal norms
—Presence of risks (uncertainties) regarding the functioning of reverse logistics and benefits that would be realized
—Consumer impression that used (e.g., recycled) products are of poorer quality
—Users’ lack of knowledge about the rights and options for returning used products to the manufacturer
ParameterValueDetermination Method
Threshold Value0.321Set based on the calculation
Fuzzy Membership FunctionTriangularBased on the literature review
Normalization Factor1/Max SumEnsures all matrix elements are between 0 and 1
Linguistic VariableInfluence ScoreCorresponding Triangular Fuzzy Numbers
No influence00; 0.1; 0.3
Very low influence10.1; 0.3; 0.5
Low influence20.3; 0.5; 0.7
High influence30.5; 0.7; 0.9
Very high influence40.7; 0.9; 1
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Brkljač, N.; Delić, M.; Orošnjak, M.; Medić, N.; Rakić, S.; Popović, L. Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy. Mathematics 2024 , 12 , 2508. https://doi.org/10.3390/math12162508

Brkljač N, Delić M, Orošnjak M, Medić N, Rakić S, Popović L. Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy. Mathematics . 2024; 12(16):2508. https://doi.org/10.3390/math12162508

Brkljač, Nebojša, Milan Delić, Marko Orošnjak, Nenad Medić, Slavko Rakić, and Ljiljana Popović. 2024. "Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy" Mathematics 12, no. 16: 2508. https://doi.org/10.3390/math12162508

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Attanasio et al., 2024: "Presidential Address: Economics and Measurement: New Measures to Model Decision Making"

EGC affiliate Orazio Attanasio and coauthors Ingvild Almås and Pamela Jervisin in Econometrica, July 2024.

Most empirical work in economics has considered only a narrow set of measures as meaningful and useful to characterize individual behavior, a restriction justified by the difficulties in collecting a wider set. However, this approach often forces the use of strong assumptions to estimate the parameters that inform individual behavior and identify causal links. In this paper, we argue that a more flexible and broader approach to measurement could be extremely useful and allow the estimation of richer and more realistic models that rest on weaker identifying assumptions. We argue that the design of measurement tools should interact with, and depend on, the models economists use. Measurement is not a substitute for rigorous theory, it is an important complement to it, and should be developed in parallel to it. We illustrate these arguments with a model of parental behavior estimated on pilot data that combines conventional measures with novel ones.

Almås, Ingvild, Orazio Attanasio, and Pamela Jervis. 2024. "Presidential Address: Economics and Measurement: New Measures to Model Decision Making." Econometrica, 92 (4): 947-78

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  • Econometrica

Exchange Rate Models are Better than You Think, and Why They Didn't Work in the Old Days

Exchange-rate models fit very well for the U.S. dollar in the 21st century. A “standard” model that includes real interest rates and a measure of expected inflation for the U.S. and the foreign country, the U.S. comprehensive trade balance, and measures of global risk and liquidity demand is well-supported in the data for the U.S. against other G10 currencies. The monetary and non-monetary variables play equally important roles in explaining exchange rate movements. In the 1970s – early 1990s, the fit of the model was poor but the fit (as measured by t- and F-statistics, and R-squareds) has increased almost monotonically to the present day. We make the case that it is better monetary policy (inflation targeting) that has led to the improvement, as the scope for self-fulfilling expectations has disappeared. We provide a variety of evidence that links changes in monetary policy to the performance of the exchange-rate model.

The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

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About 400 Million People Worldwide Have Had Long Covid, Researchers Say

The condition has put significant strain on patients and society — at a global economic cost of about $1 trillion a year, a new report estimates.

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By Pam Belluck

Pam Belluck has been reporting about long Covid since the condition first emerged.

About 400 million people worldwide have been afflicted with long Covid, according to a new report by scientists and other researchers who have studied the condition. The team estimated that the economic cost — from factors like health care services and patients unable to return to work — is about $1 trillion worldwide each year, or about 1 percent of the global economy.

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About 6 percent of adults globally have had long Covid.

The authors evaluated scores of studies and metrics to estimate that as of the end of 2023, about 6 percent of adults and about 1 percent of children — or about 400 million people — had ever had long Covid since the pandemic began. They said the estimate accounted for the fact that new cases slowed in 2022 and 2023 because of vaccines and the milder Omicron variant.

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    Exchange-rate models fit very well for the U.S. dollar in the 21st century. A "standard" model that includes real interest rates and a measure of expected inflation for the U.S. and the foreign country, the U.S. comprehensive trade balance, and measures of global risk and liquidity demand is well-supported in the data for the U.S. against other G10 currencies.

  30. About 400 Million People Worldwide Have Had Long Covid, Researchers Say

    The report included research recommendations and policy proposals. The report calls for much more research into treatments, diagnostics, biological mechanisms and the economic and social effects ...