Sustainable development is an important component of the Belt and Road Initiative(BRI)and is of great significance for evaluating the levels of sustainable development of countries along this route(henceforth,BRI coun...Sustainable development is an important component of the Belt and Road Initiative(BRI)and is of great significance for evaluating the levels of sustainable development of countries along this route(henceforth,BRI countries).Therefore,this study aims to identify the factors that influence the levels of sustainable development of BRI countries in a reasonable and objective manner.Eventually,this study employs the super efficiency slacks-based measure(Super-SBM)model,which considers unexpected outputs to measure the level of sustainable development of BRI countries.The dynamic change and composition of the sustainable development level of these countries are calculated using the global Malmquist-Luenberger index.Furthermore,the Tobit model is used to identify the factors influencing the level of sustainable development of BRI countries in general and in various categories.The empirical results suggest the following points.(a)The overall level of sustainable development of BRI countries is low,whereas those of high-income and middle-and high-income countries are relatively high.(b)The overall sustainable development levels of BRI countries declined to a certain extent in 2008 owing to the effect of the financial crisis,.However,the sustainable development level of other countries,barring low-income countries,has gradually increased since 2011.(c)Since 2008,technological progress has replaced technical efficiency as the main driving force behind the improvement of the sustainable development level of BRI countries.(d)A U-shaped relationship is observed between the economic and sustainable development levels of these countries.(e)The level of science and technology and the proportion of renewable energy consumption can promote the sustainable development of these countries.Moreover,a negative correlation exists between the level of opening to the outside world and that of sustainable development of countries that mainly export resource-based products and are dominated by labor-intensive export industries.Barring low-income countries,the energy structure plays an effective role in improving the level of sustainable development.Finally,the study presents suggestions for China in the process of coping with the sustainable development of relevant countries during its promotion of the BRI.展开更多
<span style="font-family:Verdana;">In the applications of Tobit regression models we always encounter the data sets which contain too many variables that only a few of them contribute to the model. The...<span style="font-family:Verdana;">In the applications of Tobit regression models we always encounter the data sets which contain too many variables that only a few of them contribute to the model. Therefore, it will waste much more samples to estimate the “non-effective” variables in the inference. In this paper, we use a sequential procedure for constructing the fixed size confidence set for the “effective” parameters to the model by using an adaptive shrinkage estimate such that the “effective” coefficients can be efficiently identified with the minimum sample size based on Tobit regression model. Fixed design is considered for numerical simulation.</span>展开更多
Gender equalization has progressed considerably in all areas but has prolonged domestic work.Previous research suggests that income is essential in the distribution of time spent on housework between couples.However,t...Gender equalization has progressed considerably in all areas but has prolonged domestic work.Previous research suggests that income is essential in the distribution of time spent on housework between couples.However,there is still debate about how income works within Chinese households.Therefore,it is necessary to study how income influences the time spent on housework by Chinese couples.This paper uses data from The China Family Panel Studies(CFPS)in 2022 and selected married two-income households aged 18-65 as our study population.Based on the results of the study and the Nash cooperative game‘divorce-threat’model,the hypotheses were then regressed using the Tobit model.Robustness tests were then conducted using the OLS regression model and the replacement variables method.Finally,the impact of income on the distribution of household work time of Chinese couples was analyzed,followed by conclusions.Firstly,the allocation of housework time during working days is influenced by income factors,while the distribution of housework time on rest days is not influenced by income.Secondly,individual income is negatively related to own time spent on housework,while the spouse’s income is positively associated with wife/husband time.Thirdly,the wife’s relative income is“U”shaped,and the relative gain of the husband is“inverted U”shaped.展开更多
The present study focused on analyzing the technical efficiency office farms in southwest of Niger. The data from January to March 2015 survey of 148 ms in three districts of south-western of Niger were analyzed by us...The present study focused on analyzing the technical efficiency office farms in southwest of Niger. The data from January to March 2015 survey of 148 ms in three districts of south-western of Niger were analyzed by using DEA-Tobit two-step method. In the f＇ust step, data envelopment analysis （DEA） was applied to estimate technical, pure technical and scale efficiency. In the second step, Tobit regression was used to identify factors affecting technical efficiency. The results showed that rice producers in southwest of Niger could reduce their inputs by 52% and still produce the same level of rice output. The Tobit regression showed that factors, such as farm size, experience in rice farming, membership of cooperative, main occupation and land ownership had a direct impact on technical efficiency.展开更多
Improving cultivated land use eco-efficiency(CLUE)can effectively promote agricultural sustainability,particularly in developing countries where CLUE is generally low.This study used provincial-level data from China t...Improving cultivated land use eco-efficiency(CLUE)can effectively promote agricultural sustainability,particularly in developing countries where CLUE is generally low.This study used provincial-level data from China to evaluate the spatiotemporal evolution of CLUE from 2000 to 2020 and identified the influencing factors of CLUE by using a panel Tobit model.In addition,given the undesirable outputs of agricultural production,we incorporated carbon emissions and nonpoint source pollution into the global benchmark-undesirable output-super efficiency-slacks-based measure(GB-US-SBM)model,which combines global benchmark technology,undesirable output,super efficiency,and slacks-based measure.The results indicated that there was an upward trend in CLUE in China from 2000 to 2020,with an increase rate of 2.62%.The temporal evolution of CLUE in China could be classified into three distinct stages:a period of fluctuating decrease(2000-2007),a phase of gradual increase(2008-2014),and a period of rapid growth(2015-2020).The major grain-producing areas(MPAs)had a lower CLUE than their counterparts,namely,non-major grain-production areas(non-MPAs).The spatial agglomeration effect followed a northeast-southwest strip distribution;and the movement path of barycentre revealed a"P"shape,with Luoyang City,Henan Province,as the centre.In terms of influencing factors of CLUE,investment in science and technology played the most vital role in improving CLUE,while irrigation index had the most negative effect.It should be noted that these two influencing factors had different impacts on MPAs and non-MPAs.Therefore,relevant departments should formulate policies to enhance the level of science and technology,improve irrigation condition,and promote sustainable utilization of cultivated land.展开更多
Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable,...Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence.展开更多
This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requi...This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.展开更多
In recent years, debates on the alarming rate of forest depletion emanating from growth in urban settlement and changed urban land-use patterns have gained prominence across the globe. The present study adopts a deman...In recent years, debates on the alarming rate of forest depletion emanating from growth in urban settlement and changed urban land-use patterns have gained prominence across the globe. The present study adopts a demandside management approach to investigate household’s willingness-to-pay for the restoration and maintenance of protected forest reserves in three municipalities in Ghana. Using survey data of 733 households from the Greater Accra Region of Ghana, we model the demand for forest restoration and maintenance, respectively, by means of the contingent valuation technique. As part of the findings, the study shows evidence that a household is willing to pay Gh￠50.99($8.67) and Gh￠31.12($5.29) per annum to restore and maintain the protected forests,respectively. These amounts constitute less than one percent of the average household income per month.Consequently, critical validity tests are conducted to validate the robustness of the results. This study provides willingness-to-pay estimates for forest and forest resources, and its associated determinants. These estimates seek to bridge the information gap and inform policy decisions toward the overarching aim of ensuring sustainable forest management in Ghana.展开更多
This study investigates gender income disparity in Portuguese firms using separate Tobit models for men and women. While job segregation seems to be one of the major sources of gender disparity, women do not appear to...This study investigates gender income disparity in Portuguese firms using separate Tobit models for men and women. While job segregation seems to be one of the major sources of gender disparity, women do not appear to be systematically underpaid in predominantly female occupations, regardless of the industry. The authors found that gender pay gap is larger in domestic firms, and it increases with employees＇ accumulated tenure and decreases with advanced education for women and on labor market entry. Despite showing some encouraging cracks, the glass ceiling still continues to prevent women from reaching top management positions. Finally, despite it appears wage disparity does exist, and it will probably continue to exist, the results point towards a window of opportunity for women.展开更多
The study was designed to investigate into the level of cassava commercialization, extent of gender effects and other factors on household commercialization index （HCI） of cassava in both rural and peri-urban areas ...The study was designed to investigate into the level of cassava commercialization, extent of gender effects and other factors on household commercialization index （HCI） of cassava in both rural and peri-urban areas of Rivers State, Nigeria. The study used a stratified random sampling technique to select 50 cassava farmers each from Etche and Ekwerre LGAs of the state （i.e. 100 farmers in all）. A set of structured questionnaire and interview schedule was used to retrieve information from the farmers. Data analysis was done using descriptive statistics, Chow test and truncated regression analysis model based on Maximum Likelihood derived from Censored Normal or TOBIT approach. It was found that significant difference exist in the HC1 of rural farmers （49%） and peri-urban （40%）. The drivers of HCI varied across the areas but on the whole it was noted that gender, farm size, distance to market, labour, farming experience, price of cassava and access to market information signiftcantly influenced the probability of expanding the scale of commercialization of cassava in the area. It was recommended that government and interested bodies should give priority to women in designing and implementing cassava commercialization programmes policies that will improve farmers access to land and also help build on capacities of the farmers to commercialize such as access to extension service, establishment of market information service （MIS）, development of market and transport infrastructure were recommended too.展开更多
To measure the carbon emission efficiency of China’s pharmaceutical manufacturing industry, explore the factors affecting the carbon emission efficiency of China’s pharmaceutical manufacturing industry, and provide ...To measure the carbon emission efficiency of China’s pharmaceutical manufacturing industry, explore the factors affecting the carbon emission efficiency of China’s pharmaceutical manufacturing industry, and provide reference for improving the carbon emission efficiency of China’s pharmaceutical manufacturing industry and promoting the government to formulate macro policies. Based on the data of the pharmaceutical manufacturing industry in 30 provinces of China from 2010 to 2019, and based on the SBM model and ML (Malmquist-Luenberger) index model, the carbon emission efficiency of the pharmaceutical manufacturing industry was calculated and its dynamic change was investigated, and the Tobit model was further used to explore the influencing factors of the carbon emission efficiency of the pharmaceutical manufacturing industry. The carbon emission efficiency of China’s inter-provincial pharmaceutical manufacturing industry has steadily improved. The carbon emission efficiency of the eastern region is higher than that of the western region, and that of the western region is higher than that of the central region. The eastern region is dominated by technological progress, and there is room for improvement in technological efficiency. The central and western regions are dominated by technological efficiency. Compared with technological efficiency, technological progress needs to be further improved. Environmental regulation, industrial agglomeration and technological innovation level positively affect carbon emission efficiency, while foreign investment level has no significant impact on carbon emission efficiency.展开更多
Based on the data from Chinese Family Panel Studies(CFPS),this study uses the Tobit model to empirically analyze the influence of financial literacy on family cultural consumption.This study found that the average fin...Based on the data from Chinese Family Panel Studies(CFPS),this study uses the Tobit model to empirically analyze the influence of financial literacy on family cultural consumption.This study found that the average financial literacy level of Chinese residents is still relatively low.The improvement of their financial literacy would help enhance the household cultural consumption expenditure.From this study,it is recommended that there should be an improvement in the cultural consumption of Chinese families and their quality of life by targeting financial education,raising the income level of residents,and stimulating the residents’cultural consumption willingness.展开更多
Making use of the DEA nonparametric method and the limited Tobit model, this article estimates the relative efficiency of Chinese provincial governments＇ fiscal expenditure following financial decentralization reform...Making use of the DEA nonparametric method and the limited Tobit model, this article estimates the relative efficiency of Chinese provincial governments＇ fiscal expenditure following financial decentralization reform, and explains the factors that influence the changing pattern of such expenditure efficiency.展开更多
Background:Ethiopia is the homeland of various crops due to its diverse and suitable agro-ecological zones.As a result,smallholder farmers grow multiple crops on a small piece of land both for consumption and commerci...Background:Ethiopia is the homeland of various crops due to its diverse and suitable agro-ecological zones.As a result,smallholder farmers grow multiple crops on a small piece of land both for consumption and commercial purposes in different portions of Ethiopia,including the northwestern part of the country.However,crop diversification status and extent of farmers were not well understood.Therefore,this study examined determinants of crop diversification in a pepper-dominated smallholder farming system in northwest Ethiopia.Methods:Primary data was collected through a semi-structured interview schedule administered on 385 crop producers selected using a systematic random sampling technique.Moreover,the survey was supplemented by using secondary data,focus group discussions,and key informant interviews.Methods such as the descriptive,inferential statistics,and econometrics model were used for analyzing the data.Results:The average crop diversification index was 0.77,and most smallholder farmers(92.46%)used crop diversification as a strategy for risk reduction,nutritional improvement,consumption,and commercial needs.Moreover,the Tobit model result revealed that the status and intensity of crop diversification were significantly influenced by farmland,sex,age,land fragmentation,distance to development center,market distance,and non-/off-farm income participation.Conclusion:Generally,most farm households used crop diversification as a norm and best strategy for minimizing risk,income source,nutritional and livelihood improvement.Therefore,crop producers,agricultural experts,the Ethiopian government,and partner organizations should give special attention to extension service,market,and infrastructure development to enhance the role of agricultural diversification for households.展开更多
This paper proposes a penalized method for high-dimensional variable selection and subgroup identification in the Tobit model.Based on Olsen’s[(1978).Note on the uniqueness of the maximum likelihood estimator for the...This paper proposes a penalized method for high-dimensional variable selection and subgroup identification in the Tobit model.Based on Olsen’s[(1978).Note on the uniqueness of the maximum likelihood estimator for the Tobit model.Econometrica:Journal of the Econometric Society,46(5),1211-1215.https://doi.org/10.2307/1911445]convex reparameterization of the Tobit negative log-likelihood,we develop an efficient algorithm for minimizing the objective function by combining the alternating direction method of multipliers(ADMM)and generalised coordinate descent(GCD).We also establish the oracle properties of our proposed estimator under some mild regularity conditions.Furthermore,extensive simulations and an empirical data study are conducted to demonstrate the performance of the proposed approach.展开更多
文摘Sustainable development is an important component of the Belt and Road Initiative(BRI)and is of great significance for evaluating the levels of sustainable development of countries along this route(henceforth,BRI countries).Therefore,this study aims to identify the factors that influence the levels of sustainable development of BRI countries in a reasonable and objective manner.Eventually,this study employs the super efficiency slacks-based measure(Super-SBM)model,which considers unexpected outputs to measure the level of sustainable development of BRI countries.The dynamic change and composition of the sustainable development level of these countries are calculated using the global Malmquist-Luenberger index.Furthermore,the Tobit model is used to identify the factors influencing the level of sustainable development of BRI countries in general and in various categories.The empirical results suggest the following points.(a)The overall level of sustainable development of BRI countries is low,whereas those of high-income and middle-and high-income countries are relatively high.(b)The overall sustainable development levels of BRI countries declined to a certain extent in 2008 owing to the effect of the financial crisis,.However,the sustainable development level of other countries,barring low-income countries,has gradually increased since 2011.(c)Since 2008,technological progress has replaced technical efficiency as the main driving force behind the improvement of the sustainable development level of BRI countries.(d)A U-shaped relationship is observed between the economic and sustainable development levels of these countries.(e)The level of science and technology and the proportion of renewable energy consumption can promote the sustainable development of these countries.Moreover,a negative correlation exists between the level of opening to the outside world and that of sustainable development of countries that mainly export resource-based products and are dominated by labor-intensive export industries.Barring low-income countries,the energy structure plays an effective role in improving the level of sustainable development.Finally,the study presents suggestions for China in the process of coping with the sustainable development of relevant countries during its promotion of the BRI.
文摘<span style="font-family:Verdana;">In the applications of Tobit regression models we always encounter the data sets which contain too many variables that only a few of them contribute to the model. Therefore, it will waste much more samples to estimate the “non-effective” variables in the inference. In this paper, we use a sequential procedure for constructing the fixed size confidence set for the “effective” parameters to the model by using an adaptive shrinkage estimate such that the “effective” coefficients can be efficiently identified with the minimum sample size based on Tobit regression model. Fixed design is considered for numerical simulation.</span>
文摘Gender equalization has progressed considerably in all areas but has prolonged domestic work.Previous research suggests that income is essential in the distribution of time spent on housework between couples.However,there is still debate about how income works within Chinese households.Therefore,it is necessary to study how income influences the time spent on housework by Chinese couples.This paper uses data from The China Family Panel Studies(CFPS)in 2022 and selected married two-income households aged 18-65 as our study population.Based on the results of the study and the Nash cooperative game‘divorce-threat’model,the hypotheses were then regressed using the Tobit model.Robustness tests were then conducted using the OLS regression model and the replacement variables method.Finally,the impact of income on the distribution of household work time of Chinese couples was analyzed,followed by conclusions.Firstly,the allocation of housework time during working days is influenced by income factors,while the distribution of housework time on rest days is not influenced by income.Secondly,individual income is negatively related to own time spent on housework,while the spouse’s income is positively associated with wife/husband time.Thirdly,the wife’s relative income is“U”shaped,and the relative gain of the husband is“inverted U”shaped.
文摘The present study focused on analyzing the technical efficiency office farms in southwest of Niger. The data from January to March 2015 survey of 148 ms in three districts of south-western of Niger were analyzed by using DEA-Tobit two-step method. In the f＇ust step, data envelopment analysis （DEA） was applied to estimate technical, pure technical and scale efficiency. In the second step, Tobit regression was used to identify factors affecting technical efficiency. The results showed that rice producers in southwest of Niger could reduce their inputs by 52% and still produce the same level of rice output. The Tobit regression showed that factors, such as farm size, experience in rice farming, membership of cooperative, main occupation and land ownership had a direct impact on technical efficiency.
基金supported by the National Natural Science Foundation of China(72373117)the Chinese Universities Scientific Fund(Z1010422003)+1 种基金the Major Project of the Key Research Base of Humanities and Social Sciences of the Ministry of Education(22JJD790052)the Qinchuangyuan Project of Shaanxi Province(QCYRCXM-2022-145).
文摘Improving cultivated land use eco-efficiency(CLUE)can effectively promote agricultural sustainability,particularly in developing countries where CLUE is generally low.This study used provincial-level data from China to evaluate the spatiotemporal evolution of CLUE from 2000 to 2020 and identified the influencing factors of CLUE by using a panel Tobit model.In addition,given the undesirable outputs of agricultural production,we incorporated carbon emissions and nonpoint source pollution into the global benchmark-undesirable output-super efficiency-slacks-based measure(GB-US-SBM)model,which combines global benchmark technology,undesirable output,super efficiency,and slacks-based measure.The results indicated that there was an upward trend in CLUE in China from 2000 to 2020,with an increase rate of 2.62%.The temporal evolution of CLUE in China could be classified into three distinct stages:a period of fluctuating decrease(2000-2007),a phase of gradual increase(2008-2014),and a period of rapid growth(2015-2020).The major grain-producing areas(MPAs)had a lower CLUE than their counterparts,namely,non-major grain-production areas(non-MPAs).The spatial agglomeration effect followed a northeast-southwest strip distribution;and the movement path of barycentre revealed a"P"shape,with Luoyang City,Henan Province,as the centre.In terms of influencing factors of CLUE,investment in science and technology played the most vital role in improving CLUE,while irrigation index had the most negative effect.It should be noted that these two influencing factors had different impacts on MPAs and non-MPAs.Therefore,relevant departments should formulate policies to enhance the level of science and technology,improve irrigation condition,and promote sustainable utilization of cultivated land.
基金supported by the Major State Basic Research Development Program of China: the Research on the Key Technology of Clean and High Efficient Mariculture Pond (Grant Nos. 2011BAD 13B03)Promotive Research Fund for Excellent Young and Middle-Aged Scientists of Shandong Province: High Efficiency and Low Carbon Development Research of Shandong Mariculture Industry (Grant Nos. BS2012HZ 024)the Research of Chinese Mariculture Industry High Efficiency and Low Carbon Development Model Implementation Mechanism Funded by the Marine Development Institute of Ocean University of China Humanities and Social Science Key Research Base of Ministry of Education (Grant Nos. 2012JDZS02)
文摘Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence.
文摘This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.
基金financial support from the Global Greengrants Fund,UK/Europe/USA(Grant Number:2018-2472).
文摘In recent years, debates on the alarming rate of forest depletion emanating from growth in urban settlement and changed urban land-use patterns have gained prominence across the globe. The present study adopts a demandside management approach to investigate household’s willingness-to-pay for the restoration and maintenance of protected forest reserves in three municipalities in Ghana. Using survey data of 733 households from the Greater Accra Region of Ghana, we model the demand for forest restoration and maintenance, respectively, by means of the contingent valuation technique. As part of the findings, the study shows evidence that a household is willing to pay Gh￠50.99($8.67) and Gh￠31.12($5.29) per annum to restore and maintain the protected forests,respectively. These amounts constitute less than one percent of the average household income per month.Consequently, critical validity tests are conducted to validate the robustness of the results. This study provides willingness-to-pay estimates for forest and forest resources, and its associated determinants. These estimates seek to bridge the information gap and inform policy decisions toward the overarching aim of ensuring sustainable forest management in Ghana.
文摘This study investigates gender income disparity in Portuguese firms using separate Tobit models for men and women. While job segregation seems to be one of the major sources of gender disparity, women do not appear to be systematically underpaid in predominantly female occupations, regardless of the industry. The authors found that gender pay gap is larger in domestic firms, and it increases with employees＇ accumulated tenure and decreases with advanced education for women and on labor market entry. Despite showing some encouraging cracks, the glass ceiling still continues to prevent women from reaching top management positions. Finally, despite it appears wage disparity does exist, and it will probably continue to exist, the results point towards a window of opportunity for women.
文摘The study was designed to investigate into the level of cassava commercialization, extent of gender effects and other factors on household commercialization index （HCI） of cassava in both rural and peri-urban areas of Rivers State, Nigeria. The study used a stratified random sampling technique to select 50 cassava farmers each from Etche and Ekwerre LGAs of the state （i.e. 100 farmers in all）. A set of structured questionnaire and interview schedule was used to retrieve information from the farmers. Data analysis was done using descriptive statistics, Chow test and truncated regression analysis model based on Maximum Likelihood derived from Censored Normal or TOBIT approach. It was found that significant difference exist in the HC1 of rural farmers （49%） and peri-urban （40%）. The drivers of HCI varied across the areas but on the whole it was noted that gender, farm size, distance to market, labour, farming experience, price of cassava and access to market information signiftcantly influenced the probability of expanding the scale of commercialization of cassava in the area. It was recommended that government and interested bodies should give priority to women in designing and implementing cassava commercialization programmes policies that will improve farmers access to land and also help build on capacities of the farmers to commercialize such as access to extension service, establishment of market information service （MIS）, development of market and transport infrastructure were recommended too.
文摘To measure the carbon emission efficiency of China’s pharmaceutical manufacturing industry, explore the factors affecting the carbon emission efficiency of China’s pharmaceutical manufacturing industry, and provide reference for improving the carbon emission efficiency of China’s pharmaceutical manufacturing industry and promoting the government to formulate macro policies. Based on the data of the pharmaceutical manufacturing industry in 30 provinces of China from 2010 to 2019, and based on the SBM model and ML (Malmquist-Luenberger) index model, the carbon emission efficiency of the pharmaceutical manufacturing industry was calculated and its dynamic change was investigated, and the Tobit model was further used to explore the influencing factors of the carbon emission efficiency of the pharmaceutical manufacturing industry. The carbon emission efficiency of China’s inter-provincial pharmaceutical manufacturing industry has steadily improved. The carbon emission efficiency of the eastern region is higher than that of the western region, and that of the western region is higher than that of the central region. The eastern region is dominated by technological progress, and there is room for improvement in technological efficiency. The central and western regions are dominated by technological efficiency. Compared with technological efficiency, technological progress needs to be further improved. Environmental regulation, industrial agglomeration and technological innovation level positively affect carbon emission efficiency, while foreign investment level has no significant impact on carbon emission efficiency.
文摘Based on the data from Chinese Family Panel Studies(CFPS),this study uses the Tobit model to empirically analyze the influence of financial literacy on family cultural consumption.This study found that the average financial literacy level of Chinese residents is still relatively low.The improvement of their financial literacy would help enhance the household cultural consumption expenditure.From this study,it is recommended that there should be an improvement in the cultural consumption of Chinese families and their quality of life by targeting financial education,raising the income level of residents,and stimulating the residents’cultural consumption willingness.
文摘Making use of the DEA nonparametric method and the limited Tobit model, this article estimates the relative efficiency of Chinese provincial governments＇ fiscal expenditure following financial decentralization reform, and explains the factors that influence the changing pattern of such expenditure efficiency.
文摘Background:Ethiopia is the homeland of various crops due to its diverse and suitable agro-ecological zones.As a result,smallholder farmers grow multiple crops on a small piece of land both for consumption and commercial purposes in different portions of Ethiopia,including the northwestern part of the country.However,crop diversification status and extent of farmers were not well understood.Therefore,this study examined determinants of crop diversification in a pepper-dominated smallholder farming system in northwest Ethiopia.Methods:Primary data was collected through a semi-structured interview schedule administered on 385 crop producers selected using a systematic random sampling technique.Moreover,the survey was supplemented by using secondary data,focus group discussions,and key informant interviews.Methods such as the descriptive,inferential statistics,and econometrics model were used for analyzing the data.Results:The average crop diversification index was 0.77,and most smallholder farmers(92.46%)used crop diversification as a strategy for risk reduction,nutritional improvement,consumption,and commercial needs.Moreover,the Tobit model result revealed that the status and intensity of crop diversification were significantly influenced by farmland,sex,age,land fragmentation,distance to development center,market distance,and non-/off-farm income participation.Conclusion:Generally,most farm households used crop diversification as a norm and best strategy for minimizing risk,income source,nutritional and livelihood improvement.Therefore,crop producers,agricultural experts,the Ethiopian government,and partner organizations should give special attention to extension service,market,and infrastructure development to enhance the role of agricultural diversification for households.
文摘This paper proposes a penalized method for high-dimensional variable selection and subgroup identification in the Tobit model.Based on Olsen’s[(1978).Note on the uniqueness of the maximum likelihood estimator for the Tobit model.Econometrica:Journal of the Econometric Society,46(5),1211-1215.https://doi.org/10.2307/1911445]convex reparameterization of the Tobit negative log-likelihood,we develop an efficient algorithm for minimizing the objective function by combining the alternating direction method of multipliers(ADMM)and generalised coordinate descent(GCD).We also establish the oracle properties of our proposed estimator under some mild regularity conditions.Furthermore,extensive simulations and an empirical data study are conducted to demonstrate the performance of the proposed approach.
