Total-factor energy efficiency in China’s sugar manufacturing industry

2015 ◽  
Vol 7 (3) ◽  
pp. 360-373 ◽  
Author(s):  
Lei Ru ◽  
Wei Si
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Industry ◽  
Sugar Industry ◽  
Probit Model ◽  
Firm Level ◽  
Data Set ◽  
Total Recovery ◽  
Content Type ◽  
Fractional Probit ◽  
Sugar Mills

Purpose – The purpose of this paper is to evaluate the total-factor energy efficiency (TFEE) in China’s sugar manufacturing industry using firm-level data from 2002/2003 to 2012/2013 crushing seasons, and further explore the determinants of TFEE. Design/methodology/approach – Modified data envelopment analysis is used to measure the TFEE of each sugar mill during the crushing seasons. Then heteroskedastic fractional probit model is applied to estimate the determinants of TFEE because of the bounded nature of TFEE and heteroskedasticity of unbalanced panel. Findings – The results show that throughout the crushing seasons, the average TFEE is 0.57; there are spatial differences of TFEE in Guangxi sugar industry, highest in southern area; the TFEE of foreign-owned sugar mills is larger than that of private-owned and state-owned sugar mills; the larger the enterprise size, the higher the TFEE; private ownership, large size, raw material, safe productivity, total recovery rate as well as technical progress can improve TFEE significantly. Originality/value – This paper analyzes TFEE using a rich data set at firm level, allowing the existence of firm heterogeneity, as well as being complementary to the study of energy efficiency in China’s sugar industry. Moreover, ownership structure is involved in the determinants of TFEE, which is rarely done in literature. Lastly, heteroskedastic fractional probit model is employed to recognize the bounded nature of TFEE as well as selection bias of unbalanced panel to study the determinants of TFEE.

scholarly journals ENERGY EFFICIENCY OF INDONESIA’S SUGAR INDUSTRY BASED ON ECONOMIC FRAMEWORK: STOCHASTIC METAFRONTIER ANALYSIS

2021 ◽  
Vol 11 (1) ◽  
pp. 53-66
Author(s):  
Thinzar Win ◽  
Dyah Wulan Sari ◽  
Tri Haryanto
Keyword(s):  
Energy Efficiency ◽  
Energy Use ◽  
Sugar Industry ◽  
Stochastic Frontier ◽  
Firm Level ◽  
Technology Gap ◽  
Gap Ratio ◽  
Metafrontier Analysis ◽  
Sugar Mills ◽  
Technology Gap Ratio

This study investigates the efficiency of energy use and technology gap in the Indonesian sugar industry and the factors influencing energy efficiency. Using the firm-level data of sugar mills in 42 regencies in Indonesia from 2010 to 2014, this study applies the meta stochastic frontier based on the input distance function. The metafrontier analysis is applied in sugar mills in the East Java province and other provinces in Indonesia.  All the data used in this study are the secondary data taken from the Indonesian Central Board of Statistics. The results reveal that there is a large room to save energy consumption in this industry. The mills in East Java provinces have higher energy efficiency, technology gap ratio, and metafrontier energy efficiency compared to the mills in other provinces. According to the metafrontier energy efficiency, energy inefficiencies in both groups come from operational inefficiency and technology gap. The size of the mills and age of the mills have a positive relationship with the energy efficiency of sugar mills and the size of the mills is positively related to the technology gap ratio. Meanwhile, the productivity of labor and the types of ownership do not affect the energy efficiency and technology gap.

Impact of corporate social responsibility intensity on firm-specific risk and innovation: evidence from Japan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Megumi Suto ◽  
Hitoshi Takehara
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Research And Development ◽  
Manufacturing Industry ◽  
Corporate Sustainability ◽  
Idiosyncratic Risk ◽  
Firm Level ◽  
Content Type ◽  
Specific Risk ◽  
Corporate Social

Purpose The purpose of this paper is to investigate investors’ perception of corporate social responsibility (CSR) and its risk-mitigating effects on firm-level innovation in Japan from 2006 to 2017. The authors examine the influence of CSR intensity on firm-specific risks, focusing on the risk-moderating effect of CSR on innovation. Design/methodology/approach The authors conducted a simple slope analysis and panel data regressions with input and output innovation measures and idiosyncratic risk based on an asset-pricing model. Findings The results demonstrate that CSR intensity not only reduces firm-specific risk directly but also indirectly by negatively moderating the relationship between firm-level innovation and idiosyncratic risk. Research limitations/implications Signaling trust to capital markets, CSR engagements in the manufacturing industry are clearly important for innovative firms with active research and development undertakings. Practical implications Corporate managers should further expand their efforts to make non-financial disclosures available, considering the interactions between CSR intensity and research and development financial risk. Originality/value In the context of Japanese firms, this study demonstrates the interaction between CSR practices and innovation activities from the perspective of long-term management of corporate sustainability.

Does board gender diversity affect the transparency of corporate political disclosure?

2018 ◽  
Vol 26 (4) ◽  
pp. 444-463 ◽  
Author(s):  
D.G. DeBoskey ◽  
Yan Luo ◽  
Jeff Wang
Keyword(s):  
Corporate Governance ◽  
Voluntary Disclosure ◽  
Gender Diversity ◽  
Political Activity ◽  
Political Contributions ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Ethics Research ◽  
Board Gender Diversity

Purpose The purpose of this paper is to examine the influence of board gender diversity on the transparency of corporate political disclosure (CPD). Design/methodology/approach Two empirical proxies, CPD transparency and policy transparency, are constructed from a data set jointly produced by the Center of Political Activity and the Carol and Lawrence Zicklin Center for Business Ethics Research. The CPD transparency score measures the level of transparency in voluntary corporate disclosure of the amount of political contributions and the identity of the recipients as well as the titles and names of the executives who authorize the political spending. The policy transparency score measures the level of transparency in the voluntary disclosure of the policies governing corporate political spending. Board gender diversity is measured by the percentage of women on the board of directors. Findings Higher proportions of female directors are associated with more transparent disclosure of political contributions after controlling for a set of corporate governance and firm-level variables. Originality/value This study is the first to examine whether and how gender-diversified boards enhance the transparency of CPD. It contributes to the literature by providing evidence that gender-diversified boards enhance corporate governance.

Exploring innovation creation across rural and urban firms

2018 ◽  
Vol 7 (4) ◽  
pp. 357-376 ◽  
Author(s):  
Giri Aryal ◽  
John Mann ◽  
Scott Loveridge ◽  
Satish Joshi
Keyword(s):  
National Survey ◽  
Negative Binomial ◽  
Secondary Data ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Rural And Urban ◽  
Wide Range ◽  
Rural Firms ◽  
Urban Firms

Purpose The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms. Design/methodology/approach The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis. Findings After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk. Originality/value This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.

The effect of industry association on firm innovation in Chinese private ventures

2019 ◽  
Vol 57 (9) ◽  
pp. 2414-2435
Author(s):  
Wenge Zhang ◽  
Jun Li ◽  
Yiyuan Mai
Keyword(s):  
Moderating Effects ◽  
Firm Level ◽  
Firm Innovation ◽  
Data Set ◽  
Industry Association ◽  
Content Type ◽  
Emerging Industries ◽  
Practical Implications ◽  
Firm Learning

Purpose The purpose of this paper is to examine the relationship between industry association membership and firm innovation in Chinese private ventures. A secondary objective is to investigate potential moderating effects of firm learning practices and founder characteristics on the above relationship, and to draw out implications for policymakers and practitioners. Design/methodology/approach The paper utilizes data from a sample of 567 Chinese entrepreneurial firms operating in 9 designated emerging industries. Hierarchical regression models were employed to analyze the effect of industry association membership on firm innovation, and the potential moderating effects. A 2SLS procedure was adopted to control for potential endogeneity issue. Supplemental analyses were conducted to ensure the robustness of the findings. Findings The paper provides empirical insights about how industry association membership, along with firm learning practice and founder leadership, affect firm innovation in Chinese private ventures in emerging industries. It suggests that industry association membership positively affects firm innovation. Further, there is a three-way interaction effect of industry association membership, learning practice and founder power on innovation. Research limitations/implications Due to the design of the data set, there are some limitations. First, the study only considered whether a firm belongs to an industry association, but not the nature of such membership (length, firm status in the association, etc.). Second, the cross-sectional design may limit the power of the study to make casual implications about the tested relationships. Practical implications The paper provides important practical implications for policymakers and entrepreneurs in China. In general, the results suggest that private ventures pursuing innovation in emerging industries can benefit from industry associations, and entrepreneurs shall actively engage in firm-level and personal-level learning. For policymakers, the study suggests that to foster innovation in an emerging industry, special attention shall be paid to building necessary institutional support to develop and to strengthen the role of industry association in the industry. Originality/value This paper fulfills an important gap in the literature in that it is one of the first, which investigates the role of the industry association in firm innovation, especially in a non-western context. This paper provides new insights into the role of industry association and firm innovation in an under-researched developing economy context.

Revisiting the impact of organized labor on corporate bottom lines

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dmytro Osiichuk ◽  
Paweł Mielcarz ◽  
Julia Kavalenka
Keyword(s):  
Financial Performance ◽  
Organized Labor ◽  
Corporate Financial Performance ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
International Panel ◽  
Transmission Mechanisms ◽  
Credible Threat ◽  
The Impact

Purpose Relying on an international panel data set, the purpose of this paper is to quantify the economic impact of labor unionization on corporate financial performance. Design/methodology/approach Static panel regression analysis is performed for a firm-level multinational data set to elucidate the postulated empirical relationships between employee unionization and corporate performance. The transmission mechanisms intermediating the studied effects are discussed and operationalized. Findings The empirical evidence demonstrates that firms with a higher level of employee unionization spend more on wages and labor-related expenses. The concomitant downside of higher resource extraction by unions is a lower rate of net employment creation and a higher possibility of redundancy layoffs. Originality/value Overall, the authors demonstrate that by creating a credible threat of employee disobedience manifested through strikes and internal wage disputes, labor unions remain an effective mechanism of increasing employees’ bargaining power. Despite the discovered weak negative associative link between the degree of unionization and corporate financial performance, the authors perceive the overall evidence to be inconclusive on this matter.

Determinants of return-on-equity in USA, German and Japanese manufacturing firms

2019 ◽  
Vol 45 (3) ◽  
pp. 445-451 ◽  
Author(s):  
Stephanie M. Weidman ◽  
Daniel J. McFarland ◽  
Gulser Meric ◽  
Ilhan Meric
Keyword(s):  
Manufacturing Industry ◽  
Financial Analysis ◽  
Important Determinant ◽  
Multivariate Regression Analysis ◽  
Manufacturing Firms ◽  
Firm Level ◽  
Cross Sectional ◽  
Content Type ◽  
Return On Equity ◽  
The Usa

Purpose DuPont financial analysis is generally used in micro-economic studies to compare an individual firm’s financial performance with industry averages. The purpose of this paper is to undertake a macro-economic cross-sectional analysis of the determinants of return-on-equity (ROE) in USA, German and Japanese manufacturing firms. Design/methodology/approach The authors use cross-sectional log-linear multivariate regression analysis to determine the elasticity of ROE to changes in net profit margin (NPM), total assets turnover (TAT) and equity multiplier (EQM) in USA, German and Japanese manufacturing firms. The authors obtain the data for the analysis from the COMPUSTAT Research Insight/Global Vintage database. Findings With data for all manufacturing firms, the authors find that the most important determinant of ROE is NPM in all three countries. The least important determinant of ROE is TAT in the USA and Germany, and EQM in Japan. Electronics is the most important manufacturing industry in all three countries, the authors also apply the analysis to data for the electronics manufacturing firms in the three countries. The authors find that an increase of 10 percent in NPM increases ROE by about 9.8 percent in Germany, by about 8.3 percent in the USA, and by about 6.9 percent in Japan. An increase of 10 percent in TAT increases ROE by about 2.2 percent in Germany and by about 1.5 percent in Japan. An increase of 10 percent in EQM increases ROE by about 1.9 percent in Germany and by about 1.5 percent in the USA. Practical implications The empirical findings of this study can provide useful insights for financial managers regarding the determinants of ROE they should focus on to achieve the greatest impact on ROE. Originality/value DuPont analysis is generally used as a micro-economic tool at the firm level. This study is a macro-economic application of the tool to study the cross-sectional determinants of ROE at the industry level.

Age-related productivity decrease in high-waged and low-waged employees

2019 ◽  
Vol 40 (6) ◽  
pp. 1151-1170
Author(s):  
Liis Roosaar ◽  
Jaan Masso ◽  
Urmas Varblane
Keyword(s):  
Fixed Effects ◽  
Manufacturing Industry ◽  
Labour Productivity ◽  
Firm Level ◽  
Content Type ◽  
Older Employees ◽  
Age Related ◽  
Knowledge Intensive ◽  
Relative Productivity ◽  
Practical Implications

Purpose The purpose of this paper is to clarify whether the age-productivity curve is different for low-waged and high-waged employees. Design/methodology/approach Productivity growth is decomposed at the firm level into contributions by hired, separated and staying workers. Based on a matched employer-employee database of Estonian firms from 2006 to 2014 and considering the age as well as wages of employees, a panel data model with fixed effects is constructed to show the relative productivity of each cohort of employees. Findings High-waged employees appeared to be relatively more productive than low-waged employees and middle-aged were more productive than young or old employees. However, the productivity difference between young and old employees was not statistically significant. The age-productivity curve of high-waged employees appeared to be flatter than that of low-waged employees. Only in knowledge intensive services were the low-waged old employees statistically significantly less productive than high-waged old employees. In the manufacturing industry, the young were more productive than in services, in knowledge intensive services the old were less productive than in traditional services. Research limitations/implications The productivity of employees is only analysed for cohorts of employees. Practical implications Employers can be encouraged to hire older employees because old employees are shown to remain at least as productive as young employees. Originality/value The decomposition of labour productivity at the firm level is further developed, as the statistical difference between the productivity of different groups of employees is analysed.

Firm-level determinants of job creation by SMEs: Swedish empirical evidence

2015 ◽  
Vol 22 (4) ◽  
pp. 666-679 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Method Of Moments ◽  
General Pattern ◽  
Generalized Method Of Moments ◽  
Job Creation ◽  
Financial Leverage ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Industry Sectors ◽  
The Relationship

Purpose – Using a resource-based approach, the purpose of this paper is to examine the effects of the firm-level determinants financial leverage and liquidity on job creation at small and medium-sized enterprises (SMEs) in six industry sectors in Sweden. Design/methodology/approach – The generalized method of moments system model was used to analyse an extensive panel data set of 26,721 Swedish SMEs over the 2008-2011 period. Findings – The empirical results indicate that job creation is positively related to SMEs’ financial leverage and liquidity, and to their size and age. SMEs’ financial leverage and size are the most important firm-level determinants of job creation. Although there are differences between industry sectors, the results confirm the general pattern of the effect of financial leverage and liquidity on job creation. Research limitations/implications – Due to the importance of job creation for economic growth, the relationship between SMEs’ capital structure and job creation should be of interest to researchers, practitioners, and policymakers. In investigating the importance of financial leverage and liquidity to labour demand dynamics, this study analyses the firm-level factors that influence job creation by SMEs. Originality/value – Since there is limited empirical research focusing on this relationship at firm level in the context of SME, the current research aims at investigating the determinants of job creation at the firm level empirically.

Firm-level agreements, employment strategies and temporary workers

2020 ◽  
Vol 42 (1) ◽  
pp. 194-212
Author(s):  
Saverio Minardi
Keyword(s):  
Fixed Effects ◽  
Selection Process ◽  
Temporary Employment ◽  
Least Square ◽  
Temporary Workers ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Collective Agreements ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of two-tier firm-level collective agreements on firms’ propensity to use temporary employment, accounting for the process of self-selection of firms into different bargaining levels in the Italian context. It further examines which firm-level characteristics drive this process of selection. Design/methodology/approach The empirical analysis uses a panel data set of Italian firms for the years 2005, 2007, 2010 and 2015. Estimations are produced and compared through ordinary least square regression, random-effects and fixed-effects models. Findings Results show that enterprises adopting two-tier firm-level agreements (TTFA) are associated with lower levels of temporary workers. However, a longitudinal analysis suggests that introducing a TTFA does not impact firms’ propensity to employ temporary workers. This novel finding highlights the presence of a selection process based on firm-level time-constant characteristics. The paper argues that these characteristics refer to management orientation toward high-road rather than low-road employment strategies. Further evidence is brought in support of this claim, showing that firms’ propensity toward the provision of training for their labor force partially explain the process of selection. Originality/value The study is the first to analyze the impact of secondary-level collective agreements on firms’ reliance on temporary employment, offering new evidence on the causes of the expansion of temporary employment. It further highlights the relevance of employers’ strategies in shaping the impact of the bargaining structure.

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