FDI determinants in an idiosyncratic country. A reappraisal over the Russian regions during transition years

2012 ◽  
Vol 45 (1-2) ◽  
pp. 1-10 ◽  
Author(s):  
Concetta Castiglione ◽  
Yulia Gorbunova ◽  
Davide Infante ◽  
Janna Smirnova

We investigate the factors attracting FDI into highly diversified Russian regions during the phase of transition, and verify the impact of transition experience on the current FDI inflow. Using cross-sectional and panel data, we demonstrate that the highly inhomogeneous investment pattern is explained, in addition to classical demand factors, by specific economic and socio-institutional regional characteristics. Russia appears as an idiosyncratic country where foreign investors seek a stable social and institutional context. Using recent FDI data we show that transition experiences influence current FDI inflow, particularly when the strength of the institutional environment and availability of infrastructures are taken into account.

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.


Author(s):  
Agatha Kratz ◽  
Harald Schoen

This chapter explores the effect of the interplay of personal characteristics and news coverage on issue salience during the 2009 to 2015 period and during the election campaign in 2013. We selected four topics that played a considerable role during this period: the labor market, pensions and healthcare, immigration, and the financial crisis. The evidence from pooled cross-sectional data and panel data supports the notion that news coverage affects citizens’ issue salience. For obtrusive issues, news coverage does not play as large a role as for rather remote topics like the financial crisis and immigration. The results also lend credence to the idea that political predilections and other individual differences are related to issue salience and constrain the impact of news coverage on voters’ issue salience. However, the evidence for the interplay of individual differences and media coverage proved mild at best.


2019 ◽  
Vol 19 (1) ◽  
pp. 51-60
Author(s):  
Yusuf Kenan Bagir

AbstractThis paper analyzes the impact of the presence of foreign missions on trade using Turkey's unique expansion in its foreign embassy network (39 new embassies in 8 years) as the source of variation in a panel data setting. A majority of the existing empirical studies use cross-sectional bilateral trade data due to lack of variation over time (Rose, 2007; Moons and Bergeijk, 2013). Employing a panel data analysis, this paper is able to address the endogeneity issues that are associated with a standard cross-sectional analysis. The dependent variable in the paper is the trade between Turkey and 190 countries for 2006 to 2016. The results indicate that presence of an embassy increases export value by 30% and this increase comes mainly from the volume effect. Categorizing goods by the Rauch (1999) classification shows that the increase in differentiated goods exports is the main driver of the export surge. The number of exporting firms increases by about 8%. There is no statistically significant impact on the exports of homogeneous goods. Replication of the analysis for imports suggests no impact on imports.


2019 ◽  
Vol 36 (1) ◽  
pp. 31-55 ◽  
Author(s):  
Lasse Torkkeli ◽  
Olli Kuivalainen ◽  
Sami Saarenketo ◽  
Kaisu Puumalainen

Purpose The purpose of this paper is to examine the impact of institutional environment on the international performance of small- and medium-sized enterprises (SMEs) and how this relationship is influenced by network competence. Design/methodology/approach This study uses a quantitative approach. In total, 119 internationally operating Finnish SMEs from five industry sectors are sampled via a cross-sectional survey. Data are analysed through regression modelling. Findings The international performance of SMEs is influenced directly and indirectly by institutional drivers. The results show that network competence mediates the positive relationship between institutional drivers and international performance. Research limitations/implications Network capability development can help SMEs leverage more or less favourable institutional environments for successful internationalisation. Perceived institutional drivers directly result in higher performance, but the effect can be partially mediated by dynamic capabilities. The limitations of the study include its single-country context and the cross-sectional nature of the data. Practical implications SMEs should take their home countries’ institutional environments into account, but for long-term success, they should develop the ability to manage their business networks. A conducive institutional environment may help develop competence, which in turn can enable more successful internationalisation in terms of scale, scope and satisfaction. Social implications Decision-makers may benefit from knowing that, in addition to capabilities, an institutionally conducive environment that drives domestic SMEs towards international markets may be an antecedent of successful internationalisation in the SME sector. Originality/value This is one of the few studies to illustrate how network capabilities can mediate the influence of institutional factors on entrepreneurial internationalisation. It combines institutional theory and the dynamic capabilities view to explain successful SME internationalisation.


2018 ◽  
Vol 12 (1) ◽  
pp. 184-201 ◽  
Author(s):  
Kun (Michelle) Yang ◽  
Michael J. Pisani

Purpose This study aims to explore “what impact does competition from informal enterprises have on formal firms” within the Chinese economic and business environment. Design/methodology/approach The paper opted for an exploratory study utilizing the cross-sectional survey data “2012 China Enterprise Survey” conducted by the World Bank. The survey is composed of approximately 200 business-related questions across the spectrum of business operations. In all, 2,700 privately owned Chinese firms are included in the logistic regression analysis. Findings Results show the impact of informal firm competition upon formal firms in China are influenced by geographical location, industry sector, ownership profile, governmental ownership, online presence and the extent of obeying labor regulations or the time spent in handling the governmental regulatory environment. There is a competitive and complementary simultaneous intertwined relationship between formal and informal economy. It occurs in a formal economy not fully divorced from the structural inertia of the planned economy as it transitions to a market-based economy. Practical implications This paper extended the assumption of institutional theory and presented it as a dynamic view of the evolution of organizations. It contributes by offering a simultaneous dual relationship between the formal and informal economy. It also adds one more potential feature of populations in the population ecology theory. Originality/value This exploratory paper empirically examines the impacts of informal sector enterprises on formal sectors firms in China and proposes a dual force effect of the informal economy to the formal economy given the current Chinese institutional environment. The study also provides a platform for further research on the interactions between the formal and informal sectors in emerging markets.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wittawat Hemtanon ◽  
Christopher Gan

PurposeThe purpose of this paper is to analyze the impact of microfinance programs on the income and food expenditure of farm and nonfarm households in Thailand.Design/methodology/approachThe study employs secondary data from the Thai Socioeconomic Survey (cross-sectional data from 2017 and panel data from 2012 to 2017). The cross-sectional data (2017) include 43,210 households. Panel data from the 2012 and 2017 Socioeconomic surveys (SES surveys) include 4,406 households. The estimation methods include propensity score matching (PSM) and a fixed effect (FE) model.FindingsThe result shows that village funds (VFs) have a significant negative impact on income and food expenditure for both farm and nonfarm households. The empirical results reveal that the saving groups for production (SGPs) effects are positively significant in terms of income and food expenditure, but only for farm households. The FE model result also shows that while VFs have a negative impact on income they have a positive impact on food expenditure for farm households. In contrast, SPGs have no impact on both farm and nonfarm households' income and food expenditure.Practical implicationsFarm and nonfarm households require both welfare and microfinance programs. Microfinance programs can only help these households once they have the necessary education. The government should provide social programs and business skills for these households; completion of these courses should be a pre-requisite for accessing microfinance programs.Originality/valueThis study is unique because it reveals the microfinance impact between VFs and SGPs programs so that most low-income and poor people in Thailand can access basic financial services.


ILR Review ◽  
2016 ◽  
Vol 70 (2) ◽  
pp. 395-418 ◽  
Author(s):  
Derek C. Jones ◽  
Panu Kalmi ◽  
Takao Kato ◽  
Mikko Mäkinen

The authors investigate whether productivity is greater if firms use employee involvement (EI) in decision making and financial participation (FP) as complementary practices. Based on representative panel data from Finnish manufacturing firms, the study uses diverse specifications to examine different theoretical explanations of the productivity effects of complementarities. The authors find virtually no evidence to support the theory of complementarities when EI and FP are simply measured by their incidence. They do find some evidence for complementarities using cross-sectional data (controlling for several covariates that related work has found to be important for firm performance) and also when analyses use measures of the intensity of FP. In accounting for differences in empirical findings across varying settings, the findings suggest that outcomes depend on the institutional context and are sensitive to variation in measurement and analytical methods.


2018 ◽  
Vol 2018 (4) ◽  
pp. 3-24
Author(s):  
Asiya Bakhtigaraeva ◽  
Viktor Bryzgalin

The article examines the impact of social capital and institutional trust on attitudes towards innovation. On a sample of 6077 respondents representing 10 Russian regions, it was found that social capital and institutional trust positively influence the attitude towards technologies in general. The analysis of a specific technology (automated judicial systems) showed that the relationship can also be reversed: the lower the social capital, the more positively the respondents refer to the introduction of new technology. These results may indicate that in conditions of poor institutional environment and in spheres that require high interpersonal and institutional trust, technologies allowing people to go to depersonalized relationships may be accepted, despite the negative attitude towards technologies in general. The findings allow us to take a fresh look at the prospects of introducing breakthrough technologies depending on the socio-cultural and institutional environment and contribute to the development of research on the impact of socio-cultural factors on the economy.


2017 ◽  
Vol 44 (4) ◽  
pp. 540-551 ◽  
Author(s):  
Huseyin Karamelikli ◽  
Guray Akalin ◽  
Unal Arslan

Purpose The purpose of this paper is to examine the dynamic relationship between oil exports, non-oil exports, imports and economic growth in the Organization of Petroleum Exporting Countries (OPEC), covering the period 1972-2013 by using panel data analysis. Design/methodology/approach The results from the dynamic panel data methods are as follows: there exists the cross-sectional dependence on each variable. According to the cross-sectionally augmented panel unit root tests, all variables are stationary at the first difference. Westerlund and Edgerton (2007) LM Bootstrap cointegration test shows that there is a long-term relationship between variables. Findings The results obtained by the Common Correlated Effects (CCE) estimator indicate that the increase in oil exports has a positive impact on the GDP of all countries, while the increase in oil exports has a negative impact on the non-oil exports of some countries. Originality/value In this study, the relationship between oil exports, economic growth, imports and non-oil exports of the 12 OPEC member countries is tested by considering the cross-sectional dependence between 1972 and 2013. In the study, the authors found a positive relationship as a result of researching the impact of oil exports on economic growth in the frame of CCE panel estimations results.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8033
Author(s):  
David Guan ◽  
Ubaldo Comite ◽  
Muhammad Safdar Sial ◽  
Asma Salman ◽  
Boyao Zhang ◽  
...  

Developing energy from renewable sources and modernizing the energy system are critical components of China’s efforts to combat climate change. Policymakers and authorities have made significant attempts to bring them. However, one of the major impediments to China’s energy revolution is financial limitations, which are inextricably linked to the country’s economic growth. The present research paper intends to investigate the relationship between economic growth and sustainable financial development on the use of energy from renewable sources in both the short and long run in the context of China. To achieve this, the researchers have utilized the panel data consisting of 10 years from 2011 to 2020. When compared to cross-sectional and time-series data samples, the panel data model offers many benefits. For starters, the panel data includes information on the passage of time and the cross-sectional area. Another benefit of using panel-data models with a larger degree of freedom is that they provide more stable and reliable estimates across short periods across cross-sections. In the case of the short run, there is a positive relationship between economic and financial development and the use of energy from renewable sources in the context of all of China. While in the case of long-term effects, the results indicate the adverse impact of financial development on the use of energy from renewable sources in the western regions of China. These results were deduced using the causality test Granger proposed to determine the path of the causal relationship and the direction of the relationship between the variables. These results indicated that the relationship between economic and financial development in east China was unidirectional, and the nature of the underlying relationship was causal. Meanwhile, in east and west China, economic development in China as a whole has been unidirectionally increasing energy from renewable sources. Our empirical findings suggest many strategies for promoting the growth of energy from renewable sources.


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