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Purpose: This study provides a bibliometric analysis of bank efficiency and competition over the past years (from 1993 to 2022) to (1) discover the past and current state of knowledge on bank competition and efficiency, (2) identify leading and authoritative journals and scholars who made significant contributions to the distribution of knowledge and impact, (3) identify nations that made a significant contribution and impact to the literature and (4) identify the structure of collaboration that exists between scholars in the areas of bank competition and efficiency and key thematic areas. Design/methodology/approach: A total number of 868 documents made up of articles, reviews, book chapters, book and conference papers from the Scopus database were gathered. This study used a bibliometric analytic approach. Findings: The number of documents on bank competitiveness and efficiency has increased significantly, as have their total publications, citations and national output. Additionally, the most esteemed and prestigious academic journals of eminent academics who have had a significant impact on the dissemination of knowledge on bank efficiency and competition literature champion papers on banking efficiency and competition. In terms of citation performance and collaborative efforts, the United States tops the developed countries, led by China, which is also the most productive. Additionally, single-country publications predominate in the literature, with China ranking first among the top five countries with corresponding authors. While the Lerner index, H-statistic, concentration index and market power were used to measure bank competitive behaviour, the data envelopment analysis approach predominates efficiency estimation techniques that are linked to cost, profit or revenue, scale, technical and productivity indexes. Originality/value: This study is one of the first to offer bibliometric evidence of both bank competition and efficiency. It also offers proof of the distribution of knowledge and intellectual structure of the concepts and concerns in bank competition and efficiency. [ABSTRACT FROM AUTHOR]

Purpose: This paper explores international trade of the Chinese manufacturing industries through the lenses of network analysis (NA) to visualise the world trade network of the Chinese economy, describe its topology and better explain the international organisation of Chinese manufacturing industries. Design/methodology/approach: The authors built a dataset of 40,550 Chinese companies and their 107,026 subsidiaries in 118 countries from Orbis-BVD and used a NA to investigate the connection between China and other countries. In particular, the authors studied the connections between Chinese companies and their subsidiaries in order to build a network of Chinese industries. Findings: The authors found that the network of Chinese companies is ramified but not wide and it can be divided into two clusters. Moreover, the relations between China and other peripheral countries are strongly mediated by a few leading locations (e.g. Hong Kong and the USA). Originality/value: This paper contributes to the literature in several ways. First, the authors provide empirical evidence on the magnitude and ramifications of Chinese enterprises in the world. The existing studies generally focus on applying NA to sectoral insights (Mao and Yang, 2012; Shaikh et al., 2016; Zheng et al., 2016; Wanzenbö ck, 2018; Krichene et al., 2019), whereas in this work the authors take a comprehensive view of the entire Chinese manufacturing system. Second, this paper complements the existing literature identifying the difference between cluster levels in Chinese manufacturing (Wu and Jiang, 2011) by proposing a cluster centralisation method to analyse the international network of Chinese firms rather than just the national network. Finally, the results also shed light on the international trade relationship between China, Hong Kong and the USA. [ABSTRACT FROM AUTHOR]

Purpose: The quality of exports is an important indicator of the economic development of a country. It is, therefore, important to understand its determinants. Existing literature reveals a number of determinants such as the position of a country, the distance to the trading partner, the size of the firm and the productivity or the quality of inputs. In this study, the author proposes a new determinant, namely ethnic diversity. Design/methodology/approach: In the first stage of this research, the author estimates the quality of exports following Berry (1994) approach. The author also addresses the endogeneity problem as suggested by Khandelwal (2010). The author's measure of ethnic diversity follows Easterly and Levine (1997). In the second stage, the author regresses the estimated quality on the measure of ethnic diversity, interacted by the degree of differentiation of the goods. Findings: First, the author finds that ethnic diversity in general reduces the quality of exports. Second, the author finds that the impact varies with the degree of differentiation. In particular, while ethnic diversity decreases the quality of differentiated goods, it increases the quality of homogeneous goods. Research limitations/implications: Because of data limitations, the research cannot investigate the impact of migration. Practical implications: The findings of this paper show how one can improve the quality of products based on the characteristics of the population and of the products. Originality/value: In the last decade, there has been growing attention paid to the impact of ethnic diversity on economic performance. As industrial powerhouses such as China continue to urbanize, stitching together once-disparate ethnic groups, the role ethnic diversity plays in the economic life of a country must be examined from a variety of angles. This paper is the first to investigate the specific impact of that diversity on product quality and on how diversity interacts with the characteristics of products. [ABSTRACT FROM AUTHOR]

Purpose China has shifted its agricultural policy from tax agriculture to support it. The purpose of this paper is to examine the agricultural policy changes of China in recent years, focussing on the support policy. China supports its agriculture sector through tax elimination, area payment and input subsidy. In this paper, the author intends to evaluate China’s agricultural support policy effect with a modified policy evaluation model (PEM).Design/methodology/approach The author modifies PEM used by OECD to estimate the effects of these support policies on production and farmer’s income.Findings The main findings are input subsidy policy has more effect than area payment policy in general; input subsidy policy has more effects on production while area payment has more effects on farmer’s income; and the sensitivity analysis further indicates that input subsidy policy has more influence than area payment as regarding production impact ratio, while area payment has more influence on income impact ratios.Practical implications Based on these findings, when it comes to the support policy in terms of area payment and input subsidies only, the author puts forward the following policy implications: to increase input subsidy in budgets and expand the covering scope, and to continue implementing area payment policy with more budgets. However, support policies playing an important role in improving production efficiency and marketing support should be given priority.Originality/value The main contributions of this paper are modifying the OECD PEM to China’s conditions; and quantifying China’s agricultural policy effects. [ABSTRACT FROM AUTHOR]

Purpose: The authors study the effectiveness of the anti-corruption campaign in all of mainland China's provinces in terms of risk and volatility spillovers. Design/methodology/approach: A nonlinear model describes interdependencies and determines how shocks and uncertainty spillovers from the first suspects to the rest of the country are dynamically transmitted. Findings: The authors find that both idiosyncratic and systematic risk increase after the first investigation, suggesting that investors do react to the political shocks induced by the new policy. However, even if the scope of the inquiry expands, as the current policy is almost certain to be maintained, investors do not need to update their beliefs, stock news about their political costs does not matter and shocks cease to spread. Originality/value: In this paper, the authors contribute to the literature by examining the financial effects of China's anti-corruption campaign and determining whether such a large-scale campaign affects risk. Qian and Wen (2015) and Ke et al. (2016) show that the anticorruption campaign has a negative impact on the consumption of luxury goods. Agarwal et al. (2020) provide evidence that government officials' access to credit decreases following the anti-corruption campaign. According to Zhang (2018), firms are less prone to commit fraud after the anti-corruption campaign. However, Griffin et al. (2018) find little evidence that the anti-corruption campaign reduces corporate corruption. Kim et al. (2018) assess market reaction during the investigation and discover that the anti-corruption examination has a significant positive influence on Chinese financial markets. The authors intend to fill the gap in the literature concerning the campaign's impact on risk and volatility spillovers across the country during the first stage of the campaign. [ABSTRACT FROM AUTHOR]

Purpose: The main purpose of this paper is to analyse the different factors affecting Sino-African trade based on the gravity model, and propose some solutions to improve the problems. Design/methodology/approach: The paper is based on an extended gravity model, including trade agreement and recession as explanatory variables. The impacts of trade agreement and economic recession on Sino-African imports and exports are examined. Findings: The results show that the product of GDP affects African exports to China significantly and negatively, and affects African imports from China positively. Real exchange rate affects African exports to China positively, and affects African imports from China negatively. Population affect African exports to China significantly and positively, and affect African imports from China positively. Recession have negative effects on both African imports from China and exports to China but is only significant for imports. Agreement affects African imports from China and exports to China positively. Our findings confirm the impact of economic recession, and imply that the structure of African product exported to China should be improved, and trade agreements should be reinforced. Originality/value: This paper contributes and extends the literature on Sino-African trade by improving the traditional gravity model to include the impact of all trade agreements, and their aggregating effects on trade. The paper also seeks to assess the trade impact of economic recession through a dynamic gravity model approach for which there has been no research done to our knowledge. In this regard, it provides new understanding of the trade pattern between China and Africa, and ways in improving the Sino-African bilateral trade. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to consider if an initial driver of the cross-country global coronavirus pandemic was trade openness with China. Design/methodology/approach: The authors estimate simple, seemingly unrelated and zero-inflated count data specifications of a gravity model of trade between China and its trading partners, where the number of human coronavirus infections in a country is a function of the number of distinct good/services exported and imported from China. Findings: Parameter estimates reveal that the number of early cross-country human coronavirus infections increased with respect to trade openness with China, as measured by the number of distinct Chinese exported and imported goods/services, and can account for approximately 24% of early infections among China's trading partners. The findings suggest that one of the costs of trade openness and globalization is that they can be a driver of cross-country human disease pandemics. Originality/value: This inquiry constitutes a first approach at embedding the possible disease pandemic costs of free trade, trade openness and globalization within a trade gravity model. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the determinants of foreign direct investment (FDI) in producer services in China using both country aggregate and provincial sub-sectoral data. Design/methodology/approach: This paper applies autoregressive distributed lag (ARDL) cointegration and panel data regression approaches in examining the determinants of Producer Service FDI (PSFDI). Findings: Our results show differences between the determinants of aggregate FDI and PSFDI. Contrary to the typical influencing factors of general FDI (that include GDP, openness, low wages and environmental quality), the two main determinants of PSFDI inflows to China are found to be high wages and research inputs (specifically the number of research workers as a proxy for research intensity). Data drawn from 26 Chinese provinces disaggregated at sub-sector level of producer services corroborate the results. Originality/value: We add to existing literature by identifying the key determinants of inward PSFDI in China also via a provincial-level data analysis and disaggregation at sub-sectoral level of producer services. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to explore the threshold effect of firm size on technological innovation using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector. Design/methodology/approach: Considering the aim of research question is to examine the nonlinear relationship, this paper utilizes the threshold regression proposed by Hansen's (2000). Findings: Based on a threshold regression model using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector, we find a series of new results. This nonlinear relationship is under the restrictions and impacts of various factors, such as industry characteristics and government subsidies. The results suggest that the threshold regression model well explains the complicated nonlinear relationship and transition process, and it can also shed light on management practice and policy. Originality/value: There are categorical arguments regarding why firm size is not as effective as before in explaining the monotonic principle of industrial innovation, especially for establishing an effective industrial policy in a particular situation. One of the important reasons is that we have begun to adopt a new perspective from the nonlinear view on the relationship between firm size and industrial innovation. In this study, we have examined the threshold effect of firm size on industrial technological innovation, which is the most representative nonlinear relationship. [ABSTRACT FROM AUTHOR]

Purpose: This paper investigates the impact of credit risk shocks on the evolution of banking efficiency in China. Design/methodology/approach: This paper introduces credit risk as a bad output into a bootstrap data envelopment analysis (bootstrap-DEA) model. Findings: During a credit risk shock, the efficiency levels of both state-owned commercial banks and joint-stock commercial banks are significantly higher than those of urban/rural commercial banks, and the efficiency differences between these banks further increase during a period of economic slowdown. This paper also finds that the efficiencies of joint-stock commercial banks are the most sensitive to credit risk shocks; these banks are the first to be affected and the first to completely adjust. However, urban/rural commercial banks adjust very slowly. Originality/value: Most scholars still use the traditional DEA method to estimate China's banking efficiency. The bootstrap-DEA method is clearly able to obtain a more exact estimated efficiency score. In fact, in comparison with the bootstrap-DEA model, we found that the traditional DEA method overestimates China's banking efficiency, and this is an especially serious problem for those banks that have a high efficiency score. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to analyze the direct and indirect impacts of social organization in promoting Chinese economic growth. It adopts empirical research to test the correlated hypotheses, and tries to put forward some policy suggestions.Design/methodology/approach Social organizations are measured by four indicators in this paper. It proposes five hypotheses about the impact of social organization on economic growth and builds an economic growth model including social organization. The ordinary least squares and stepwise regression methods are conducted to estimate the economic growth model with the data from 1999 to 2015.Findings Through the empirical analysis, it finds that the added value of social organization, human capital, investment and government budget expenditure affect economic growth significantly. The number of social organization at the end of each year has a positive significant effect on entrepreneurship, while the added value and growth rate of it have a negative effect on it. The numbers of social organization and full-time employee have significant effect on number to workers in the labor force. Only the number of social organization has positive significant effect on public education.Originality/value This paper conducts an empirical study on the impact of social organization on economic growth in China and fills a gap of the role of social organization on the economy in developing countries. The results provide referenced information for public policy-making. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate the effects of Chinese and non-Chinese import penetration on the inter-industry wage premium, and how such effects vary according to the unskilled-labor intensity of the industry and to the implementation of the Nova Matriz Economica policy in 2008. Design/methodology/approach: The paper empirically examines the effects of the Chinese and non-Chinese import penetration on the wage premium using a linear instrumental variables model and data from Brazilian household surveys and censuses. Findings: The estimates show the Chinese import penetration positively affecting the wage premium in unskilled-labor intensive. And the implementation of the new macroeconomic policy strengthened this effect. Originality/value: To the best of the author's knowledge, this is the first paper to study the effects of Chinese and non-Chinese import penetration on the inter-industry wage premium. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to examine volatility spillover from the Chinese stock market to E7 and G7 stock markets. Using the estimated results, the authors also analyze the optimal weights and optimal hedge ratios for the portfolios including stocks from E7 and G7 countries.Design/methodology/approach The authors employed generalized vector autoregressive-generalized autoregressive conditional heteroskedasticity approach, developed by Ling and McAleer (2003), in order to analyze daily data on the national stock indices. Considering the late establishment of some E7 stock markets, the sampling covers the period from 1995 through 2015.Findings The findings indicate significant volatility spillover from the Chinese stock market to E7 and G7 stock markets. In particular, the Chinese stocks highly co-move with the stocks of countries within a same geographical region. While the highest volatility spillover occurs between China and India among E7 countries, the highest volatility spillover occurs between China and Japan among G7 countries. Furthermore, the examination of optimal weights and hedge ratios suggest that investors should hold more stocks from G7 countries than E7 countries for their portfolios.Originality/value To the best of the authors' knowledge, this is the first study which investigates the volatility spillover in the stock markets of G7 and E7 countries. Moreover, the current study contributes particularly to the existing limited literature on the Chinese stock market. Since the Chinese stock market is not fully integrated to other markets and it is subject to intense government interventions, there is a widely accepted belief that the contagion effects from the Chinese stock market to other stock markets are not influential. This view discourages and limits the prospect studies. However, the findings of this paper refute this view and indicate significant interaction among the Chinese stock market and E7 and G7 stock markets. [ABSTRACT FROM AUTHOR]

Purpose -- The purpose of this paper is to combine multidimensional welfare analysis and entropy metrics to derive not only the best relative weights but also substitution degree among different attributes to construct multidimensional indices of well-being with Chinese Household Income Project Survey 2002 data. Design/methodology/approach -- The authors follow Maasoumi's two-step measures of multivariate inequality to calculate the inequality for three social groups in China, urban residents, migrants, and rural residents. The two-step approach provides an aggregation formula which is numerically identified in this paper based on a metric entropy distance measure between the distribution of the aggregate well-being functions, on the one hand, and the distribution of the self-reported "happiness" indicator. The authors compare the differences in relative weights and substitution degree for the three groups, and link them to some institutional factors. Findings -- The authors find that incorporating substitution among attributes, and taking into consideration group heterogeneity are very important in multidimensional analysis of well-being. Originality/value -- The two-step approach provides an aggregation formula which is numerically identified in this paper based on a metric entropy distance measure between the distribution of the aggregate well-being functions, on the one hand, and the distribution of the self-reported "happiness" indicator. [ABSTRACT FROM AUTHOR]

Purpose: In this work, the authors analyze the dynamic interdependencies between military expenditures and the real economy for the period 1970–2018, and the authors' approach allows for the existence of dominant economies in the system. Design/methodology/approach: In this study, the authors employ a Network General Equilibrium GVAR (global vector autoregressive) model. Findings: By accounting for the interconnection among the top twelve military spenders, the authors' findings show that China acts as a leader in the global military scene based on the respective centrality measures. Meanwhile, statistically significant deviations from equilibrium are observed in most of the economies' military expenses, when subjected to an unanticipated unit shock of other countries. Nonetheless, in the medium run, the shocks tend to die out and economies converge to an equilibrium position. Originality/value: With the authors' methodology the authors are able to capture not only the effect of nearness on a country's military spending, as the past literature has documented, but also a country's defense and economic dependencies with other countries and how a unit's military expenses could shape the spending of the rest. Using state-to-the-art quantitative and econometric techniques, the authors provide robust and comprehensive analysis. [ABSTRACT FROM AUTHOR]

Purpose: The experience of rising trade imbalance between Nigeria and its key trading partners in recent years motivated this study. Previous studies on this issue either ignored bilateral level or assumed that the effect of crude oil price and/or exchange rate changes on trade balance is symmetric. Consequently, this study investigates whether Nigeria's bilateral trade balance with Belgium, China, United Kingdom (UK) and USA is responding symmetrically or asymmetrically to changes in oil price and exchange rate. Design/methodology/approach: The authors used nonlinear autoregressive-distributed lag (NARDL) model that decomposed oil price and exchange rate into partial sum processes of positive and negative changes over the period 1999Q1–2019Q4. Findings: The study finds that the effects of oil price hike and plunge asymmetrically influence Nigeria's trade balance with the UK and USA. Further evidence indicated that oil price plunge exerts greater influence than price hike in all the cases, except the UK in the long run. Furthermore, Nigeria's trade balance responds asymmetrically and significantly to changes in exchange rate with China in the long run and with China and the UK in the short run. Specifically, the depreciation effect is more prominent than appreciation. Originality/value: Significant contributions to the existing literature in Nigeria include the recognition that the effects of oil price and exchange rate changes on trade are asymmetric and the disaggregation of trade into bilateral level to identify country-specific effect. [ABSTRACT FROM AUTHOR]

Purpose: Corn, which has the highest domestic production, planting area and consumption, is the top cereal in relation to demand and supply in China. However, the comparative advantage of China in corn has continuously deteriorated in recent years and based on the recent situation and possible supply and demand trends, it is widely accepted that a corn self-sufficiency rate of 95% is difficult to achieve. Under current import-restriction policies, corn may stand at the crossroads of reforms to solve its predicted insufficient supply. In this study, the authors analyse the necessity of relaxing trade restrictions on corn in China and explore the effects of trade restrictions by reducing tariffs and expanding tariff-rate quotas on corn and related industries and the welfare change caused by possible relaxations. Design/methodology/approach: The authors construct a computable general equilibrium (CGE) model and design nine scenarios for the analysis. Findings: The results show that relaxations of import restrictions are probable methods to meet the aim of sufficient corn supply during shortages. They are simulated to reduce corn's domestic production and price, increase import and import prices and lead to a decline in self-sufficiency but benefit the production of corn-related industries of corn. The results also imply that expanding the quota is a better method for releasing trade restrictions in China. Originality/value: The comparative advantage of China in corn deteriorated with an increase in prices. Based on the current situation and possible trends of supply and demand, the referenced goal of achieving 95% corn self-sufficiency appears difficult, implying that reliance on imports is probably imminent and vital. This study provides simulation results in future scenarios and offers policy implications for China's corn trade policies. [ABSTRACT FROM AUTHOR]

Purpose: We investigate the impact of the strength of intellectual property (IP) institutions on Chinese outward foreign direct investment (OFDI). Design/methodology/approach: We use two different measures of IP on a sample of 21 European countries in the period 2003–2015. Panel quantile methodology is applied to assess the relationship at several points of the conditional distribution of OFDI. Findings: We provide novel and robust evidence revealing a highly negative relationship between OFDI and the strength of IP institutions in Europe. This relationship which is more pronounced in the median and upper-quantiles, bolsters the conventional theoretical expectation that high institutional distance between home and host countries is inversely related to OFDI. Equally important is the preliminary evidence of the non-linear impact of IP at the median and upper-quantiles as well as the impact of other controlling variables such as GDP, population, trade openness and unit labour costs on Chinese OFDI. Originality/value: The ensuing theoretical implications are of great significance for future studies on the institutional distance and drivers of OFDI by emerging economies as well as for European policymakers in so far as the strengthening of IP institutions constitutes a gravitational point for inward investment flows from China. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to explain the adjustment rate toward the target capital structure of Chinese nonfinancial listed firms and to investigate the impacts of the split-share reforms (2005–2006) on the capital structure adjustment rate. Design/methodology/approach: The authors control for the unobserved heterogeneity and the fractional nature of the adjustment rate by applying an unbiased dynamic panel fractional estimator on the unbalanced panel data of 27,545 firm-year observations of Chinese nonfinancial firms listed during 1998–2015. Findings: The authors find that Chinese firms adjust at an annual rate of 19–27% to reach their capital structure targets. The authors also find a positive impact of the split-share reforms on the adjustment rates of Chinese nonfinancial firms toward their target capital structure. Split-share reforms also helped Chinese firms to increase the use of equity financing in their capital structure. Practical implications: The authors argue that the government should strengthen capital markets to enable easy access to more financing options so that Chinese firms can acquire cheaper external financing. Originality/value: To the best of authors' knowledge, this is the first study that applies an unbiased dynamic panel fractional estimator on an extended data set of 27,545 firm-year observations of Chinese nonfinancial firms listed during 1998–2015. [ABSTRACT FROM AUTHOR]