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1 – 10 of 486Prerna Prabhakar and Muskan Aggarwal
Although India is seen as a key player in the global economy, it is still below its potential level of growth. In this age of globalism, integration with the global economy…
Abstract
Purpose
Although India is seen as a key player in the global economy, it is still below its potential level of growth. In this age of globalism, integration with the global economy through trade and foreign investments fosters domestic growth. For India, although this integration has strengthened over the years, there are certain gaps that remain to be addressed. Though numerous studies in the literature have tried to find answers to these questions, an important aspect that has not been considered by these studies relates to India’s federal structure and the role of states in determining the aggregate economic outcome. As Foreign Direct Investment (FDI) inflows to India are concentrated in a few states, this paper aims to provide an assessment of the reasons behind this trend.
Design/methodology/approach
This paper aims to investigate the reasons behind the interstate differences with respect to FDI inflows in India. The analytical work undertaken for this paper is based on secondary data, collected and collated from various sources. The approach adopted for this paper includes a heat graph analysis to examine whether there is a clear pattern in terms of the state-specific factors for high FDI states versus the low FDI states. This data analysis is followed by an econometric estimation to gauge the impact of state-specific factors in determining the FDI inflows.
Findings
As per the secondary data–driven heat graph and econometric analysis, factors like industrial output, social sector expenditure, judicial quality, connectivity indicators, labor cost and availability of credit, act as differentiators between high and low FDI-receiving states. It then becomes imperative to bridge the gap between the two sets of states in terms of these specific factors. Implementation and success of policy interventions can only be derived at the state level and therefore needs more decentralized approach.
Originality/value
This paper tries to identify the reasons that are responsible for FDI inflows being concentrated in a few Indian states. This involves a comprehensive analysis of several variables to understand whether there is a clear pattern where high-FDI states are also in a better position with respect to these attributes. This effort to factor in the federal aspect of a macroeconomic indicator like FDI provides new dynamic to this area of work.
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Despite technology transfer being emphasised in most public policy documents globally, it is not always clear how its effectiveness plays out in developing and emerging economies…
Abstract
Purpose
Despite technology transfer being emphasised in most public policy documents globally, it is not always clear how its effectiveness plays out in developing and emerging economies. This paper aims to bridge this gap by providing a systematic understanding of the processes of technology transfer, the antecedents and determinants, and finally how to measure its effectiveness, particularly in technologically dependent and emerging economies.
Design/methodology/approach
The paper puts forward a modified contingent effectiveness model of technology transfer based on Bozeman (2000) and Bozeman et al. (2015) and adapts it to incorporate the characteristics of emerging economies. Four major elements of technology transfer are discussed, namely, transfer object, actor characteristics, transfer environment, local environment and how they interact to determine effectiveness. Thereafter, the study shifts its focus to India’s evolving science technology and innovation (STI) ecosystem and discuss the current status, structure and major stakeholders associated with technology transfer. The study also reflects upon the challenges that inhibit effective technology transfer in India. In the last part, the study offers policy recommendations for improving the effectiveness of technology transfer, keeping in view India’s sustainable developmental goals.
Findings
A significant distinction of the conceptual model from its predecessors lies in its examination of the four dimensions of technology transfer effectiveness through the lens of developing and emerging economies, keeping in mind the inherent strengths, weaknesses and STI practices of the attendant local economy. As a novel contribution, the paper also discusses India’s evolving STI ecosystem backed by recent policy initiatives on technology transfer and the major stakeholders involved.
Originality/value
The paper constructs a modified contingent effectiveness model of technology transfer with particular emphasis on emerging economies. It also provides a comprehensive overview of India’s complex STI and technology transfer ecosystem, the challenges involved and offers recommendations for policy intervention.
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Niharika Mehta, Seema Gupta and Shipra Maitra
Foreign direct investment in the real estate (FDIRE) sector is required to bridge the gap between investment needed and domestic funds. Further, foreign direct investment is…
Abstract
Purpose
Foreign direct investment in the real estate (FDIRE) sector is required to bridge the gap between investment needed and domestic funds. Further, foreign direct investment is gaining importance because other sources of raising finance such as External Commercial Borrowing and foreign currency convertible bonds have been banned in the Indian real estate sector. Therefore, the objective of the study is to explore the determinants attracting foreign direct investment in real estate and to assess the impact of those variables on foreign direct investments in real estate.
Design/methodology/approach
Johansen cointegration test, vector error correction model along with variance decomposition and impulse response function are employed to understand the nexus of the relationship between various macroeconomic variables and foreign direct investment in real estate.
Findings
The results indicate that infrastructure, GDP and tourism act as drivers of foreign direct investment in real estate. However, interest rates act as a barrier.
Originality/value
This article aimed at exploring factors attracting FDIRE along with estimating the impact of identified variables on FDI in real estate. Unlike other studies, this study considers FDI in real estate instead of foreign real estate investments.
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This paper aims to unravel the puzzle that the United Kingdom’s high-quality government accounting and fiscal architecture is associated with low-quality outcomes, including poor…
Abstract
Purpose
This paper aims to unravel the puzzle that the United Kingdom’s high-quality government accounting and fiscal architecture is associated with low-quality outcomes, including poor productivity growth, high public debt, public services which do not meet citizen expectations and historically high levels of taxation. It contributes to public sector accounting research in the fields of fiscal transparency and governance.
Design/methodology/approach
This paper uses Miller and Power’s (2013) economization framework and Dunsire’s (1990) concept of collibration to explain why being a global leader in public sector accounting reform and in fiscal and monetary architecture has not protected the UK from weak governance. The intersection of economization’s roles of accounting with modes of government accounting clarifies the puzzle.
Findings
Whereas accruals government accounting contributes to fiscal transparency, this is not a sufficient condition for well-judged policy and its effective application. Collibration is the dominant mechanism for mediation in the fiscally centralized UK, but it has failed to deliver stable outcomes, in part because Parliament is limited in its ability to hold back inappropriate behaviour by the Executive. Subjectivization has disrupted adjudication because governments at all levels resist constraints on their behaviour, with unpredictable and often damaging consequences.
Originality/value
This paper provides insights through the combined lens of economization and modes of government accounting, demonstrating the practical value of this conceptualization. Although some causes for unsatisfactory outcomes are specific to the UK, there are cautions for accounting and fiscal reformers in other countries, such as Member States of the European Union.
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This study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of…
Abstract
Purpose
This study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of gross domestic product (GDP). The study specifically focuses on the value-added share as a percentage of GDP in the agricultural, manufacturing, industrial, and service sectors using time series data from 1988 to 2019.
Design/methodology/approach
The study utilizes the autoregressive distributive lag (ARDL) bound test framework for estimation, based on the conclusions drawn from the augmented Dickey-Fuller and Phillips–Perron unit root tests, which provide evidence of a mixed order of integration.
Findings
The result reveals that agriculture value-added (AVA), manufacturing value-added (MVA), industrial value-added (IVA), and services value-added (SVA) have a positive and significant impact on poverty alleviation in both the short and long run. However, the agriculture sector is found to be more effective in reducing poverty compared to the other sectors examined in this study. Additionally, this study challenges the notion that SSA countries have undergone an immature structural transformation. Instead, it reveals a pattern of stagnant structural transformation, as indicated by the lack of growth in the industrial and manufacturing value-added shares of GDP.
Practical implications
To enhance productivity and reduce poverty, SSA economies should adopt a development strategy that prioritizes heavy manufacturing and industrial sectors, leading to a transition from the agricultural to the secondary and tertiary sectors.
Originality/value
The study contributes to the emerging literature on structural transformation by investigating which sector is more efficient in reducing poverty in SSA countries, using the value-added share as a percentage of GDP for agricultural, manufacturing, industrial, and service sectors. The study also aims to determine if SSA countries have experienced immature structural transformation due to the growing share in the service sector.
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Inder Sekhar Yadav and Phanindra Goyari
This work aims to empirically investigate the effects of financial development on crop productivity of India.
Abstract
Purpose
This work aims to empirically investigate the effects of financial development on crop productivity of India.
Design/methodology/approach
Time series data such as crop production index, International Monetary Fund’s (IMF) financial development index, gross domestic product (GDP) per capita, arable land, rural population, trade openness and physical capital from 1980 to 2020 was used. The autoregressive distributed lag (ARDL) bounds testing approach of cointegration was used to determine the long-run equilibrium relationship between the selected time series. Also, ARDL long- and short-run coefficients were estimated to examine the effects of selected variables on crop productivity. Furthermore, to establish the robustness of results, long-run estimators such as fully modified least squares and the dynamic least squares were also used. Finally, using the vector error-correction model, causality between the selected time series was examined.
Findings
The ARDL cointegration test confirmed the existence of long-run equilibrium relationship among agricultural productivity, financial development, capital formation, GDP per capita, arable land, rural population and trade openness. The estimated long-run elasticities from all the three techniques and the short-run elasticities of ARDL have consistently suggested that the elasticity of financial development is higher (1.55% and 1.40%, respectively) in explaining the crop productivity of India. The short-run causality estimates indicated the presence of positive bidirectional causality between crop productivity and financial development and seven positive unidirectional causal relationships between the selected variables.
Practical implications
Agricultural credit being an important non-land input and essential for overall growth and sustenance of agricultural sector, the policymakers should ensure the overall development of its financial sector which will reduce the intermediation, informational and other transactional costs associated with agricultural credit. This will possibly result in timely availability and access to adequate and low-cost credit from institutional sources.
Originality/value
Though extensive research is available on the effects of financial development on economic growth, limited research is available concerning the impact of financial development on crop productivity, especially for an emerging economy like India. For India, predominantly studies have investigated the impact of farm credit on crop productivity but have not exclusively examined the effects of financial development on agricultural productivity. Therefore, this study not only adds to the empirical literature but also provides new evidence on the nexus between financial development and crop productivity by examining the effects of financial development on crop productivity using the composite financial development index developed by the IMF using the ARDL bounds test for cointegration and other econometric estimators.
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Maria Alessandra Antonelli, Angelo Castaldo, Marco Forti, Alessia Marrocco and Andrea Salustri
This paper proposes an analysis of occupational accidents in Italy at the regional level. For this purpose, our panel is composed of 20 regions over the 2010–2019 time span.
Abstract
Purpose
This paper proposes an analysis of occupational accidents in Italy at the regional level. For this purpose, our panel is composed of 20 regions over the 2010–2019 time span.
Design/methodology/approach
We apply different econometric estimation techniques (pooled OLS model, panel fixed and random effects models and semiparametric fixed model) using INAIL and ISTAT data. Our models investigate workplace accidents at the regional level by accounting for socioeconomic, labour market and productive system variables and controlling for possible underreporting bias.
Findings
Overall results reveal the existence of a relevant under-notification phenomenon of accidents at work with respect to moderate accidents, that is higher especially for the southern regions of Italy. However, when considering as outcome variable an alternative set of more severe workplace accidents our model specification remains highly jointly statistically significant. Among our main findings, the analysis shows that worker skills (blue collar) strongly affect the regional pattern of workplace accidents, i.e. an increase of 1% of low paid employees generates about an increase of 1.8 severe workplace accidents per thousand workers. Moreover, we provide evidence that the size of the firm is inversely related to the occupational accident rates. Finally, our results highlight a nonlinear relationship between GDP and occupational accidents for the Italian regional context, confirmed by the high statistical significance of the quadratic term in all the estimated linear models and by the semi-parametric analysis.
Originality/value
A first element of originality of our study consists of investigating the macro determinants of occupation accidents at a regional Italian level. Second, the empirical literature (Boone and Van Ours, 2006) highlights the possible bias of underreporting behaviours on nonfatal accidents in contrast to fatal accidents that are always reported. From this perspective, we have identified a few analyses (namely, Boone et al., 2011) considering different accident sets characterised by different severity degrees. Thus, this paper contributes to the literature considering five alternative subsets of accidents stratified by degree of severity (i.e. moderate, severe, moderate plus severe, severe plus fatal and total accident rates) to test for possible underreporting bias affecting our econometric model.
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Eugene Misa Darko and Kangning Xu
This study empirically investigates the long-run and interactive effect of Chinese foreign direct investment (CFDI) on Africa's industrialization process.
Abstract
Purpose
This study empirically investigates the long-run and interactive effect of Chinese foreign direct investment (CFDI) on Africa's industrialization process.
Design/methodology/approach
The authors employed industry and manufacturing value-added (% GDP) as the dependent variables and applied the two-step GMM and panel-corrected standard errors' (PCSE) techniques involving a panel of 49 African countries from 2003 to 2020.
Findings
The industry value-added (% GDP) results show that the presence of CFDI propels industrial productivity by contributing to value-addition in the short and long run. Moreover, the study shows that the magnitude of the CFDI effect on industrialization is pronounced in the short-run when it is associated with labor and natural resources. This result reveals efficiency-seeking behavior of CFDI and the CFDI-Africa industrialization nexus is not primarily resource-driven. More importantly, the authors found human capital, electricity and political stability, as primary factors that magnify CFDI's effect on industrialization in the short and long run.
Originality/value
This study is the first to use macro-level data to empirically investigate and find the significant effect of CFDI on Africa's industrialization in the long run. More importantly, the authors investigated channels through which CFDI magnifies industrialization in Africa in the short and long run.
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Abdul Ganiyu Iddrisu and Bei Chen
This paper aims to analyse economic growth in Africa focussing on the role of digitalization and financial sector development.
Abstract
Purpose
This paper aims to analyse economic growth in Africa focussing on the role of digitalization and financial sector development.
Design/methodology/approach
The authors employ country-level data from 36 African countries over the period 2000–2020 and used fixed effect, random effect and the Hausman–Taylor estimation techniques.
Findings
The study, first finds that, digitalization propels financial sector development in Africa. Building on this, the study further finds that, digitalization conditioned on financial sector development at best does not promote economic growth in Africa. However, results of the net effects suggest that digitalization, overall, improve economic growth in Africa.
Social implications
In the current environment of a sluggish global economy, digitalization can play an important role in assisting policymakers to spur economic growth. This has attracted the attention of many researchers in the developed world. However, little is done about the subject matter in Africa.
Originality/value
The findings of this paper are novel in the African sub-region with important policy implications.
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Maria Teresa Cuomo, Cinzia Genovino, Federico De Andreis, Giuseppe Fauceglia and Armando Papa
The aim of this research is to elucidate the correlation between open innovation, digital strategies and networking in enhancing agricultural enterprises within the new…
Abstract
Purpose
The aim of this research is to elucidate the correlation between open innovation, digital strategies and networking in enhancing agricultural enterprises within the new perspective of Agrifood 5.0. As such, it contributes to making businesses more competitive, especially in the Italian agricultural sector, where small and medium-sized enterprises are highly fragmented. Numerous studies have asserted that the competitiveness of actors operating within a specific territory is closely linked to local identity and image enhancement. Agricultural organizations are undergoing a profound transformation, with technological assets emerging as catalysts for new synergies. Advanced technologies such as robotics, the Internet of Things (IoT) and automation (AI) are emerging as differentiating elements capable of further advancing the agricultural sector, transitioning it from Agrifood 4.0 to Agrifood 5.0. The empirical analysis of the research shows a positive correlation between a collaborative attitude and a propensity for innovation. Indeed, the data demonstrated that digital strategies and open innovation positively influence competitiveness in agricultural SMEs.
Design/methodology/approach
The methodology employed in this study is mixed, incorporating both qualitative and quantitative approaches. The quantitative aspect involves analysis of the dataset from the Italian Statistical Institute (ISTAT) through logistic regression, while the qualitative component entails analysis of semi-structured interviews conducted with a sample of 174 agricultural cooperatives in southern Italian regions (Campania). This approach allows for a comprehensive understanding of the research topic, capturing both numerical trends and nuanced insights from interviews.
Findings
After analyzing the data from the 7th General Census of Agriculture conducted by ISTAT, a clear understanding of the sector has emerged, revealing several potential research avenues. It is evident that innovation in the agricultural sector is often driven by the largest and best-capitalized production entities, primarily located in Italy. Conversely, smaller agricultural entities can benefit from networking as new technological assets act as catalysts for new synergies, innovation and competitiveness.
Practical implications
Enhancing the relational contribution within the network and humanizing a fragmented sector are crucial elements for promoting open innovation. Network structuring facilitates the transmission of managerial knowledge, contributing to an overall increase in the intellectual and relational capital of the agricultural sector. These factors, combined with open innovation, enhance the competitiveness of individual firms and elevate the brand of the entire sector, creating a conducive environment for transitioning toward Agrifood 5.0. This transition is characterized by increased interconnection, continuous innovation and overall prosperity. Specific studies on this topic are lacking in Italy, particularly in the southern regions. Therefore, this contribution focuses on investigating the Campania region.
Originality/value
The novelty of this study lies in its investigation of the relationship between agricultural enterprises and innovation in the context of enterprises networking strategies (i.e. associationism and/or cooperation), promoting competitiveness. The limitations of this study are related to the dimension of the sample selected and its relationship with other productive sectors.
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