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Has the Mexican inter-regional growth and convergence experience also occurred within single regions? Using the important southern region of Veracruz, the purpose of this paper is to examine this question over a 48-year period within a single Mexican state.

Growth is examined using a standard two input stochastic production function (SPF) that creates a measure of technical efficiency. Convergence is measured using a convergence equation from the literature but which also included the results from the SPF analysis to incorporate not only initial levels of inputs but also the ability of a municipio to utilize these inputs. Data collection in Mexico and online included a long run database of 149 municipios in Veracruz from 1960 thru 2008.

A stochastic Cobb-Douglas technology is found to fit the long run growth of Veracruz province well. In the 1960s, 2000s and the long run (1960-2008), weak evidence for the municipios in Veracruz appear to be converging with a relatively higher level of technical efficiency resulting in slower growth of industrial labor productivity is found. Some very recent improvement in technical efficiency may be the result of institutional as well as economic reforms finally allowing an exiting of inefficient firms that has kept the levels of municipio industrial technical efficiency stagnant for decades at about 70 percent.

Data were limited to 149 municipios because of the need to track long run trends. Data were also limited by the need to use what was available in 1960 in a direct comparison with 2008. The design of the study was to use the technical efficiency index as a proxy for much of the missing data on institutions in the historic period. Panel data were used because the economic census is not done every year plus the turmoil in the Mexican economy in the 1980s thru the end of the 1990s make imputation of missing years at the local level quite difficult.

The paper provides a baseline to analyze the long run intra-regional economic growth of other Mexican states which have a large number of municipios. It begins the exciting possibility of looking at Mexican long run growth from the municipio level which has historically played an important role in Mexico.

This is the first study to examine long run growth within a Mexican state at the municipio level using both the production function and convergence literature. Results suggest several avenues for further research inside Veracruz and across Mexico.

The purpose of this paper is to investigate the impact of internationalization of investment on corporate policies through multinational firms (MNFs) and thereby variation in financial performances when compared to domestic firms (DFs) using 10 years’ (2004-2013) secondary data of 153 firms listed on Pakistan Stock Exchange.

This study applies regression and ratio analyses for testing of hypotheses and other statistics.

The results indicate that the performance of MNFs is better than that of DFs primarily because of internationalization of investments and inventory utilization. The rest of the factors included in the model, namely, cash conversion cycle and corporate governance (CG) indices, have less prominent role in determining firms’ performance.

Sample size was restricted to 153 firms, as complete data for the period selected to carry out the study were available only for these firms. For determining the quality of CG, only sample average has been used as bench mark due to non-availability of industrial average.

The recommendations of the research can be used by economic planners and corporate experts as policy guidelines and bench mark for improving the corporate and economic performance of the country. Besides, these recommendations are beneficial for emerging economies particularly and developed economies generally across the globe.

Economic and financial regulators can get guidance from the findings of the study to adjust national-level corporate planning. For example, State Bank of Pakistan (the central bank of the country) can amend its prudential regulations with regard to maintaining liquidity by corporate units according to the results of the study. Corporate units can directly get guidance and adopt the findings of the study in their corporate planning to improve their performance. The findings and methodology of the research can also be used by research students on further exploring the field.

Splitting the sample into domestic and multinationals firms, separately and jointly analyzing these firms and then comparing corporate strategies of these firms based on location are unique.

This paper aims to draw on a number of indicators of innovation to evaluate and compare two central regions – Hubei and Hunan – with three leading regions of China – Beijing, Shanghai and Guangdong.

The paper focuses on absorptive capacity at the level of domestic regions of China, using data on R&D expenditures, human resources in higher education and in high-tech industries. The paper uses social network analysis to investigate innovation networks based on patents from the SIPO and USPTO.

Results indicate that, in Hubei and Hunan, R&D expenditures do not translate into as many innovative outputs as in the coastal and Southern regions. Moreover, high-tech industries contribute towards a relatively low proportion of the regional outputs of Hubei and Hunan, where especially the electronics industry is very poorly represented. Findings also suggest that Hubei and Hunan have a relatively limited access to foreign technologies embedded in ties with international partners. By contrast, the more advanced three regions tend to develop collaborative activities across national boundaries to a higher extent than across regional boundaries.

The analysis of China's regional innovation system has implications for research on national innovation systems. Policy-makers can benefit from the comparative analysis of regions.

The study is primarily exploratory, and the findings contribute to the literature and ongoing discussion on data sources and methods for the analysis of regional innovation.

In this paper, the authors investigate that the increasing level of fossil fuel combustion in the industrial sector has been considered the prime cause for the emissions of greenhouse gas. Meanwhile, the research focusing on the impact of fossil fuel consumption on the emission of CO₂ is limited for the developing countries containing Vietnam. This study applied the autoregressive distributed lag (ARDL) approach with structural breaks presence, and the Bayer–Hanck combined cointegration method to observe the rationality of the environmental Kuznets curve (EKC) hypothesis in the dynamic relationship between the industrialization and carbon dioxide (CO₂) emission in Vietnam, capturing the role of foreign direct investment (FDI) inflows and the fossil fuel consumption over the period of 1975–2019. The outcomes revealed the confirmation of cointegration among the variables and both short and long-run regression parameters indicated the evidence for the presence of a U-shaped association between the level of industrial growth and CO₂ emission that is further confirmed by employing the Lind and Mehlum U-test for robustness purpose. The results of Granger causality discovered a unidirectional causality from FDI and fossil fuel consumption to CO₂ emission in the short run. For the policy points, this study suggests the use of efficient and low carbon-emitting technologies.

In order to test for consistency and robustness of the cointegration analysis, this study also applied the ARDL bound testing method to find out long-run association among variables with the existence of the structural break in the dataset. The ARDL method was preferred to other traditional cointegration models; because of the smaller dataset, the results obtained from the ARDL method are efficient and consistent and equally appropriate for I(1) and I(0) variables.

The short-run and long-run causal associations among variables have been observed by employing the error correction term (ECT) augmented Granger-causality test that revealed the presence of the long-run causality among variables only when the CO₂ emission is employed as a dependent variable. The outcomes for short-run causality indicated the presence of unidirectional causality between consumption of fossil fuel and CO₂ emission, where the fossil fuel consumptions Granger-cause CO₂ emission. Industrial growth has also been found to have an impact on fossil fuel consumptions, however not the opposite. This advocates that the policies aimed at reducing the fossil fuel consumptions would not be harmful to industrial growth as other energy efficient and cleaner technology could be implemented by the firms to substitute the fossil fuel usage.

The study explored the dynamic relationship among FDI, consumption of fossil fuel, industrial growth and the CO₂ emission in Vietnam for the time period 1975–2019. The newly established Bayer–Hanck joint cointegration method and the ARDL bound testing were employed by taking into account the structural breaks in the dataset.

Allyn Young′s lectures, as recorded by the young Nicholas Kaldor, survey the historical roots of the subject from Aristotle through to the modern neo‐classical writers. The focus throughout is on the conditions making for economic progress, with stress on the institutional developments that extend and are extended by the size of the market. Organisational changes that promote the division of labour and specialisation within and between firms and industries, and which promote competition and mobility, are seen as the vital factors in growth. In the absence of new markets, inventions as such play only a minor role. The economic system is an inter‐related whole, or a living “organon”. It is from this perspective that micro‐economic relations are analysed, and this helps expose certain fallacies of composition associated with the marginal productivity theory of production and distribution. Factors are paid not because they are productive but because they are scarce. Likewise he shows why Marshallian supply and demand schedules, based on the “one thing at a time” approach, cannot adequately describe the dynamic growth properties of the system. Supply and demand cannot be simply integrated to arrive at a picture of the whole economy. These notes are complemented by eleven articles in the Encyclopaedia Britannica which were published shortly after Young′s sudden death in 1929.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This study aims to examine the relationships between aggregated and disaggregated energy use in the industrial sector, carbon emissions and industrial output in China.

The study utilizes annual frequency data for the period of 1984-2015. The unit root properties of data are tested using augmented Dickey–Fuller and Phillips and Perron unit root tests. Furthermore, the Zivot–Andrew structural breaks unit root test is used to detect the structural breaks steaming into series. The autoregressive distributed lag bound test and newly developed Bayer–Hanck combined cointegration are used to check the existence of a cointegration relationship between underlying variables. Last, the direction of causality is determined applying vector error correction model (VECM) Granger causality.

The results confirm the existence of a long-run relationship in the presence of structural breaks. The authors conclude that aggregated and disaggregated energy consumption in the industrial sector increases CO₂ emission in both long and short run. The VECM Granger causality analysis indicates the bidirectional relationships between CO₂ emission, industrial growth and aggregated and disaggregated (coal, oil and natural gas) energy consumption.

Based on the empirical results mentioned above, the study proposes the recommendation that China should focus on the use of natural gas in the industrial sector instead of coal and oil consumption. The most potent reasons for such a transformation are twofold: natural gas is much more environment-friendly, thus being a much lesser polluting source of energy, and, most significantly, such a change would have no adverse impact upon the output level.

This study contributes to the existing literature on estimating CO₂ emission by using aggregated and disaggregated energy consumption in case of China. Notwithstanding, it also adds to the existing applied literature by using newly developed combined cointegration to confirm and substantiate the cointegration relationship between the underlying variables. Moreover, this study incorporates the role of structural breaks while investigating CO₂ emission function, which helps in providing more valuable policy suggestions.

This paper is a direct extension of the work by Hussain et al. (2012). They have investigated a long-term relationship between climatic change and economic growth in case of Pakistan. Agricultural sector plays an important role in economic field, whereas industrial sector is the main source of carbon dioxide (CO₂) emission. Therefore, this study aims to replace economic growth variable with industrial growth in case of Pakistan.

Investigation is made on the basis of the environmental Kuznets curve by using the time series data during the period 1971-2009. The per capital carbon dioxide (CO₂) emission is used as an environmental indicator and per capita industrial income as the economic indicator. Different econometric tools including augmented Dickey–Fuller, autoregressive distributed lag and Granger-causality test are used to verify this relationship.

The empirical findings will help the policy-makers of Pakistan in developing new standards and monitoring networks for reducing CO₂ emission. It is essential to extend the current research work at provincial and different sectors levels in order to have clear understanding about the impact of current emission rate.

This study replaces economic growth variable with industrial growth in case of Pakistan because the industrial sector is the main source of carbon dioxide (CO₂) emission. This study is to investigate a long-term relationship between climatic change and industrial growth in case of Pakistan.

The purpose of this paper is to investigate the relationship between Islamic banking and industrial production by decomposing Islamic financing (IF) into profit and loss sharing (PLS) and non-profit and loss sharing (non-PLS) modes of financing.

This paper applies the autoregressive distributed lag (ARDL) approach and Toda and Yamamoto causality test on the monthly data set for Malaysia from 2010M1 to 2018M6.

The results reveal that IF plays an important role in boosting industrial production in the short run, as well as in the long run. Moreover, this positive effect mainly comes from non-PLS financing. In contrast, no significant relationship was found between PLS financing and industrial development neither in the short run nor in the long run.

The results have several policy implications. The existence of a time lag between the pooling of funds through PLS contracts and their channeling to industrial activities imply that Malaysian Islamic banks should maintain a long-term relationship with investment account holders. In addition, Islamic banks are called to increase the portion of PLS financing. The positive relationship between the industrial production index and IF (through non-PLS techniques) in the short and the long runs implies that policymakers in Malaysia should multiply their efforts to further expand the Islamic banking industry.

The originality of this study lies in decomposing Islamic banks’ financing into PLS financing (muḍārabah and mushārakah) and non-PLS financing to assess the contribution of each mode of financing in industrial development.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.