Pub Date : 2022-12-21DOI: 10.1080/13504509.2022.2158957
S. K. Dimnwobi, K. Okere, F. C. Onuoha, Chukwunonso S. Ekesiobi
ABSTRACT Agricultural productivity remains pivotal to the sustenance of the economies and livelihoods of Sub-Saharan Africa (SSA) countries. Given the emerging threat of energy and environmental uncertainties globally, this study makes a foray into understanding the link among energy poverty, environmental degradation and agricultural productivity in 35 SSA nations in particular, and the nature of their impacts across the sub-region constituents namely; the Central, Eastern, Western and Southern sub-regional blocs in general. To begin, our identified variables comprised of the following: Energy Poverty Index, derived using the principal component analysis, agricultural value added as a share of GDP served as a measure of agricultural productivity and ecological footprint to represent environmental degradation. Subsequently, the instrumental variable generalized method of moment (IV‐GMM) technique was implemented for the aggregate SSA model, while the IV-two stage least square technique was adopted for the sub-regional estimations for the Central, East, West and South African blocs respectively. Major findings from the SSA model revealed that whereas the index of energy poverty has a significant positive influence, ecological footprint exhibited an inverse and significant impact on agricultural productivity, while the Central, East, West and South African models yielded mixed results given regional disparities in economic development, regional variations in agricultural productivity and an imbalance of available resources. Policy recommendations were suggested to, among other things, transform the energy, environmental and agricultural fortunes of the region. KEYPOLICY HIGHLIGHTS Aggregate energy poverty index has a significant positive influence on agricultural productivity in SSA. Components of energy poverty influences agricultural productivity in SSA as follows: rural electrification (positive and significant), access to clean fuels, RE consumption, and RE output (significant negative), national electricity access and urban electrification (EP2) (no significant influence). Rise in pollution (Ecological footprint) hampers the productivity of the agricultural sector in SSA. Energy poverty index and agricultural productivity have the following relationship in the sub-regional SSA blocs: Central Africa (no significant impact), East Africa (positive and significant), Southern Africa (negative but insignificant) and West Africa (positive but insignificant). Ecological footprint and agricultural productivity have the following relationship in the sub-regional SSA blocs: significantly reduces the productivity of agriculture in the Central African region, significantly stimulates agricultural productivity in the Eastern African region, Southern Africa reveals a mixed result, pollution via environmental degradation hampers the productivity of the agricultural sector in West Africa.
{"title":"Energy poverty, environmental degradation and agricultural productivity in Sub-Saharan Africa","authors":"S. K. Dimnwobi, K. Okere, F. C. Onuoha, Chukwunonso S. Ekesiobi","doi":"10.1080/13504509.2022.2158957","DOIUrl":"https://doi.org/10.1080/13504509.2022.2158957","url":null,"abstract":"ABSTRACT Agricultural productivity remains pivotal to the sustenance of the economies and livelihoods of Sub-Saharan Africa (SSA) countries. Given the emerging threat of energy and environmental uncertainties globally, this study makes a foray into understanding the link among energy poverty, environmental degradation and agricultural productivity in 35 SSA nations in particular, and the nature of their impacts across the sub-region constituents namely; the Central, Eastern, Western and Southern sub-regional blocs in general. To begin, our identified variables comprised of the following: Energy Poverty Index, derived using the principal component analysis, agricultural value added as a share of GDP served as a measure of agricultural productivity and ecological footprint to represent environmental degradation. Subsequently, the instrumental variable generalized method of moment (IV‐GMM) technique was implemented for the aggregate SSA model, while the IV-two stage least square technique was adopted for the sub-regional estimations for the Central, East, West and South African blocs respectively. Major findings from the SSA model revealed that whereas the index of energy poverty has a significant positive influence, ecological footprint exhibited an inverse and significant impact on agricultural productivity, while the Central, East, West and South African models yielded mixed results given regional disparities in economic development, regional variations in agricultural productivity and an imbalance of available resources. Policy recommendations were suggested to, among other things, transform the energy, environmental and agricultural fortunes of the region. KEYPOLICY HIGHLIGHTS Aggregate energy poverty index has a significant positive influence on agricultural productivity in SSA. Components of energy poverty influences agricultural productivity in SSA as follows: rural electrification (positive and significant), access to clean fuels, RE consumption, and RE output (significant negative), national electricity access and urban electrification (EP2) (no significant influence). Rise in pollution (Ecological footprint) hampers the productivity of the agricultural sector in SSA. Energy poverty index and agricultural productivity have the following relationship in the sub-regional SSA blocs: Central Africa (no significant impact), East Africa (positive and significant), Southern Africa (negative but insignificant) and West Africa (positive but insignificant). Ecological footprint and agricultural productivity have the following relationship in the sub-regional SSA blocs: significantly reduces the productivity of agriculture in the Central African region, significantly stimulates agricultural productivity in the Eastern African region, Southern Africa reveals a mixed result, pollution via environmental degradation hampers the productivity of the agricultural sector in West Africa.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"31 1","pages":"428 - 444"},"PeriodicalIF":5.6,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86599392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-21DOI: 10.1080/13504509.2022.2157506
Csaba Lakócai
ABSTRACT Questioning both sustainability and universality of development led to a movement of developing alternative indicator sets to provide a more reliable picture about quality of life than conventional economic indicators do. Some of these sets correlate, to a certain extent, with formal (market) economic development while some do not. In this study, I choose one of them, the Happy Planet Index (HPI) and its sub-indicators, to prove empirically the lack of unanimity concerning the correlation between formal socio-economic performance, wellbeing, and sustainability. For this objective, I apply cross-sectional regression analysis for the multitude of 152 countries, using 2019 data, the latest pre-pandemic year where country data are completely available. The results of the analysis support the hypothesis that correlation between most of the variables is not ubiquitous. However, by splitting the whole multitude into sub-multitudes of countries according to their geographic and cultural belonging, certain significant relationships (sometimes opposite ones) are found, underpinning the importance of geographic and cultural diversity. On the other hand, life expectancy and subjective wellbeing prove to correlate only on a global scale while they are uncorrelated on smaller scales.
{"title":"How sustainable is happiness? An enquiry about the sustainability and wellbeing performance of societies","authors":"Csaba Lakócai","doi":"10.1080/13504509.2022.2157506","DOIUrl":"https://doi.org/10.1080/13504509.2022.2157506","url":null,"abstract":"ABSTRACT Questioning both sustainability and universality of development led to a movement of developing alternative indicator sets to provide a more reliable picture about quality of life than conventional economic indicators do. Some of these sets correlate, to a certain extent, with formal (market) economic development while some do not. In this study, I choose one of them, the Happy Planet Index (HPI) and its sub-indicators, to prove empirically the lack of unanimity concerning the correlation between formal socio-economic performance, wellbeing, and sustainability. For this objective, I apply cross-sectional regression analysis for the multitude of 152 countries, using 2019 data, the latest pre-pandemic year where country data are completely available. The results of the analysis support the hypothesis that correlation between most of the variables is not ubiquitous. However, by splitting the whole multitude into sub-multitudes of countries according to their geographic and cultural belonging, certain significant relationships (sometimes opposite ones) are found, underpinning the importance of geographic and cultural diversity. On the other hand, life expectancy and subjective wellbeing prove to correlate only on a global scale while they are uncorrelated on smaller scales.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"14 1","pages":"420 - 427"},"PeriodicalIF":5.6,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82891392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-18DOI: 10.1080/13504509.2022.2155265
Dongsheng Wei, Wanting Li, Wentao Yang, Hao Chen
ABSTRACT The eco-environment is fundamental for human survival and development. To gain insight into Chinese eco-environmental challenges, a scientific and quantifying assessment of sustainable eco-environmental development (SED) is essential and can guide policy development and implementation. However, systematic methods for assessing progress towards achieving SED are lacking based on the 2030 Agenda for the Sustainable Development Goals (SDGs). Therefore, we developed a systematic method to quantify SED progress at the provincial level in China. In the proposed method, the SED indicator framework was developed to align with the global indicator framework (GIF), adopting clear statistical definitions for each indicator and the criteria of data selection at provincial levels in China. A four-level method of identifying the upper and lower bounds of the indicator values was proposed to normalise them to a standard scale of 0–100. The SED index and three composite indices were aggregated by the arithmetic means of the individual scores for assessing overall SED progress. A spatial autocorrelation analysis was used to explore the spatial patterns of the SED index scores. The results showed that all provinces except Shandong and Hebei had relatively good performances in achieving SED. Most provinces performed better in terms of the water area eco-environment than they do in terms of the air and terrestrial eco-environments. In addition, some provinces showed a positive spatial autocorrelation pattern on the SED index scores, and the high-value (low-value) aggregation regions were mainly concentrated in Western (East) China. These results provide a richer understanding of the challenges for SED faced by each province in China.
{"title":"Assessing the progress and spatial patterns of sustainable eco-environmental development based on the 2030 Agenda for SDGs in China","authors":"Dongsheng Wei, Wanting Li, Wentao Yang, Hao Chen","doi":"10.1080/13504509.2022.2155265","DOIUrl":"https://doi.org/10.1080/13504509.2022.2155265","url":null,"abstract":"ABSTRACT The eco-environment is fundamental for human survival and development. To gain insight into Chinese eco-environmental challenges, a scientific and quantifying assessment of sustainable eco-environmental development (SED) is essential and can guide policy development and implementation. However, systematic methods for assessing progress towards achieving SED are lacking based on the 2030 Agenda for the Sustainable Development Goals (SDGs). Therefore, we developed a systematic method to quantify SED progress at the provincial level in China. In the proposed method, the SED indicator framework was developed to align with the global indicator framework (GIF), adopting clear statistical definitions for each indicator and the criteria of data selection at provincial levels in China. A four-level method of identifying the upper and lower bounds of the indicator values was proposed to normalise them to a standard scale of 0–100. The SED index and three composite indices were aggregated by the arithmetic means of the individual scores for assessing overall SED progress. A spatial autocorrelation analysis was used to explore the spatial patterns of the SED index scores. The results showed that all provinces except Shandong and Hebei had relatively good performances in achieving SED. Most provinces performed better in terms of the water area eco-environment than they do in terms of the air and terrestrial eco-environments. In addition, some provinces showed a positive spatial autocorrelation pattern on the SED index scores, and the high-value (low-value) aggregation regions were mainly concentrated in Western (East) China. These results provide a richer understanding of the challenges for SED faced by each province in China.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"40 1","pages":"387 - 401"},"PeriodicalIF":5.6,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77551402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-18DOI: 10.1080/13504509.2022.2155882
Lei Hua, Rong Ran, Mingjuan Xie, Tingrou Li
ABSTRACT Owing to ecological degradation and fragility, the Qinghai-Tibet Plateau is vulnerable to economic development and anthropogenic activities. Therefore, studying the impact of eliminating extreme poverty on the ecological environment is important. In this study, based on the remote sensing ecological index (RSEI) and GDP data of poverty-stricken counties on the Qinghai-Tibet Plateau from 2011–2019, the model of Economic-Ecological Development Coordination Degree (EEDCD) was constructed, and the difference-in-differences (DID) method was used to verify the impact of policy on EEDCD. The results are as follows: The poverty alleviation policy has considerably improved the EEDCD of counties on the Qinghai-Tibet Plateau. The coefficients of the core explanatory variables remained significantly positive throughout the inclusion of the control variables. To some extent, the above results reflect the robustness of the model results and demonstrate the change in EEDCD due to the implementation of the poverty alleviation policy. After implementing the poverty alleviation policy, the EEDCD of poverty-stricken counties on the Qinghai-Tibet Plateau increased by approximately 66%. Based on the analysis of socioeconomic-related factors by geographic detector, it was found that population density changes, industrial structure changes, and fiscal expenditure had strong explanatory power for EEDCD change.
{"title":"China’s poverty alleviation policy promoted ecological-economic collaborative development: evidence from poverty-stricken counties on the Qinghai-Tibet Plateau","authors":"Lei Hua, Rong Ran, Mingjuan Xie, Tingrou Li","doi":"10.1080/13504509.2022.2155882","DOIUrl":"https://doi.org/10.1080/13504509.2022.2155882","url":null,"abstract":"ABSTRACT Owing to ecological degradation and fragility, the Qinghai-Tibet Plateau is vulnerable to economic development and anthropogenic activities. Therefore, studying the impact of eliminating extreme poverty on the ecological environment is important. In this study, based on the remote sensing ecological index (RSEI) and GDP data of poverty-stricken counties on the Qinghai-Tibet Plateau from 2011–2019, the model of Economic-Ecological Development Coordination Degree (EEDCD) was constructed, and the difference-in-differences (DID) method was used to verify the impact of policy on EEDCD. The results are as follows: The poverty alleviation policy has considerably improved the EEDCD of counties on the Qinghai-Tibet Plateau. The coefficients of the core explanatory variables remained significantly positive throughout the inclusion of the control variables. To some extent, the above results reflect the robustness of the model results and demonstrate the change in EEDCD due to the implementation of the poverty alleviation policy. After implementing the poverty alleviation policy, the EEDCD of poverty-stricken counties on the Qinghai-Tibet Plateau increased by approximately 66%. Based on the analysis of socioeconomic-related factors by geographic detector, it was found that population density changes, industrial structure changes, and fiscal expenditure had strong explanatory power for EEDCD change.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"33 1","pages":"402 - 419"},"PeriodicalIF":5.6,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74029733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1080/13504509.2022.2152199
Abdulaziz I. Almulhim, P. Cobbinah
ABSTRACT As rapid urbanization becomes a key topic within urban studies and planning particularly in the Global South, it needs to be considered what radical implications to urban environment mean. Reviewing literature on urbanization and its implications on urban environment from within the Global South and on sustainable development research and environmental studies, this article discusses eight implications of urbanization-environmental conundrum: pollution, water resource degradation, urban heat island effect, sea level rise and urban flooding, urban sprawl and slum growth, urban agriculture decline, public health deterioration, and urban wetland destruction that question the ontology of urbanization in Global South cities. Drawing on cases from Saudi Arabian cities, findings indicate that sustainable development agenda is skewed towards socio-economic development with limited focus on environmental issues. This situation is threatening the sustainability of rapidly urbanizing cities. The paper proposes a rhizomatic understanding of environmental importance as a roadmap for sustainable and transformative urbanization in Global South. This ontology changes understandings of what sustainable urbanization should be in rapidly growing Global South cities.
{"title":"Urbanization-environment conundrum: an invitation to sustainable development in Saudi Arabian cities","authors":"Abdulaziz I. Almulhim, P. Cobbinah","doi":"10.1080/13504509.2022.2152199","DOIUrl":"https://doi.org/10.1080/13504509.2022.2152199","url":null,"abstract":"ABSTRACT As rapid urbanization becomes a key topic within urban studies and planning particularly in the Global South, it needs to be considered what radical implications to urban environment mean. Reviewing literature on urbanization and its implications on urban environment from within the Global South and on sustainable development research and environmental studies, this article discusses eight implications of urbanization-environmental conundrum: pollution, water resource degradation, urban heat island effect, sea level rise and urban flooding, urban sprawl and slum growth, urban agriculture decline, public health deterioration, and urban wetland destruction that question the ontology of urbanization in Global South cities. Drawing on cases from Saudi Arabian cities, findings indicate that sustainable development agenda is skewed towards socio-economic development with limited focus on environmental issues. This situation is threatening the sustainability of rapidly urbanizing cities. The paper proposes a rhizomatic understanding of environmental importance as a roadmap for sustainable and transformative urbanization in Global South. This ontology changes understandings of what sustainable urbanization should be in rapidly growing Global South cities.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"1 1","pages":"359 - 373"},"PeriodicalIF":5.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82451236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-24DOI: 10.1080/13504509.2022.2150707
Jin Zhang, Wujie Zhang, Fu Gu, Xinyu Hu
ABSTRACT User reviews (URs) have been regarded as a novel way of promoting user-involved green product innovation (GPI) in theory. However, the actual relationships between URs and GPI are still underexamined. This study adopted the method of content analysis to exemplify the effectiveness of user reviews on online shopping websites (OSURs) in user-involved GPI. Specifically, 62,909 effective OSURs on 24 green household refrigerators and 43 conventional refrigerators were collected and analyzed. The results show that 8.41% of all the pre-processed OSURs contain green information, which cannot be a dominant information source for promoting GPI. Yet, the identified green reviews (GRs) are still valuable for developing and diffusing GPI. On the one hand, three green topics related to energy efficiency, environmental friendliness, green materials and technologies are intensively generated, massive user experiences can objectively reflect the actual environmental performance of existing products. On the other hand, GRs account for 12.62% and 6.19% of all the OSURs on green refrigerators and conventional refrigerators, respectively. Users prefer to generate positive rather than negative GRs on green refrigerators. The implementation of GPI has a positive impact on OSURs in return. Firms can actively collect and analyze OSURs of extant green products, thus promoting the green innovation of their own products. This study adds to the literature of user-involved GPI by exploring the actual relationships between OSURs and GPI. A practical analysis framework and valuable implications are also proposed to advance GPI, green growth at firm level and sustainable development at social level.
{"title":"Can user reviews on online shopping websites contribute to user-involved green product innovation: a case study of household refrigerators","authors":"Jin Zhang, Wujie Zhang, Fu Gu, Xinyu Hu","doi":"10.1080/13504509.2022.2150707","DOIUrl":"https://doi.org/10.1080/13504509.2022.2150707","url":null,"abstract":"ABSTRACT User reviews (URs) have been regarded as a novel way of promoting user-involved green product innovation (GPI) in theory. However, the actual relationships between URs and GPI are still underexamined. This study adopted the method of content analysis to exemplify the effectiveness of user reviews on online shopping websites (OSURs) in user-involved GPI. Specifically, 62,909 effective OSURs on 24 green household refrigerators and 43 conventional refrigerators were collected and analyzed. The results show that 8.41% of all the pre-processed OSURs contain green information, which cannot be a dominant information source for promoting GPI. Yet, the identified green reviews (GRs) are still valuable for developing and diffusing GPI. On the one hand, three green topics related to energy efficiency, environmental friendliness, green materials and technologies are intensively generated, massive user experiences can objectively reflect the actual environmental performance of existing products. On the other hand, GRs account for 12.62% and 6.19% of all the OSURs on green refrigerators and conventional refrigerators, respectively. Users prefer to generate positive rather than negative GRs on green refrigerators. The implementation of GPI has a positive impact on OSURs in return. Firms can actively collect and analyze OSURs of extant green products, thus promoting the green innovation of their own products. This study adds to the literature of user-involved GPI by exploring the actual relationships between OSURs and GPI. A practical analysis framework and valuable implications are also proposed to advance GPI, green growth at firm level and sustainable development at social level.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"5 1","pages":"345 - 358"},"PeriodicalIF":5.6,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89938325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-20DOI: 10.1080/13504509.2022.2147597
E. Laske
ABSTRACT Sustainable agriculture and agroecology are now essential to the discussion on agricultural models in sub-Saharan Africa (SSA). Considering this new dimension as different intensities of ecosystem services use within farming practices, we propose identifying how these forms of agriculture take shape in the region’s rural areas. Family farms’ socio-economic organizations can explain the adoption conditions of agroecology in these regions, and its success or failure. From data collected in the Niayes region in Senegal, we develop a typology of farms with different levels of agroecology, from none to advanced adoption, based on a Factor Analysis on Mixed Data (FAMD). It allows for characterizing how these levels relate to farm income, labor types, and off-farm activities, among others. Our results confirm the existence of an association between agroecology/family farming and conventional/employer forms of agriculture, as suggested by our hypothesis. However, they bring to light contrasted models that nuance the common archetypes linking family farming with agroecology. Thus, better-off households employing wage workers display certain levels of agroecology, while the most conventional farms present a higher deficit risk. These findings provide a better understanding of agroecology’s development in dynamic rural contexts such as the Niayes.
{"title":"Characterizing agroecology’s practice in the Niayes, Senegal: A typology of agricultural models on family farms","authors":"E. Laske","doi":"10.1080/13504509.2022.2147597","DOIUrl":"https://doi.org/10.1080/13504509.2022.2147597","url":null,"abstract":"ABSTRACT Sustainable agriculture and agroecology are now essential to the discussion on agricultural models in sub-Saharan Africa (SSA). Considering this new dimension as different intensities of ecosystem services use within farming practices, we propose identifying how these forms of agriculture take shape in the region’s rural areas. Family farms’ socio-economic organizations can explain the adoption conditions of agroecology in these regions, and its success or failure. From data collected in the Niayes region in Senegal, we develop a typology of farms with different levels of agroecology, from none to advanced adoption, based on a Factor Analysis on Mixed Data (FAMD). It allows for characterizing how these levels relate to farm income, labor types, and off-farm activities, among others. Our results confirm the existence of an association between agroecology/family farming and conventional/employer forms of agriculture, as suggested by our hypothesis. However, they bring to light contrasted models that nuance the common archetypes linking family farming with agroecology. Thus, better-off households employing wage workers display certain levels of agroecology, while the most conventional farms present a higher deficit risk. These findings provide a better understanding of agroecology’s development in dynamic rural contexts such as the Niayes.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"27 1","pages":"329 - 344"},"PeriodicalIF":5.6,"publicationDate":"2022-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87655512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1080/13504509.2022.2139780
Narasingha Das, Muntasir Murshed, Soumen Rej, A. Bandyopadhyay, M. Hossain, Haider Mahmood, Vishal Dagar, Pinki Bera
ABSTRACT India is a major developing world economy that has predominantly been highly energy-intensive and fossil fuel dependent. Consequently, this South Asian nation has not been able to safeguard its environment from persistent degradation through the discharge of greenhouse gases. Accordingly, this study tries to reveal the relationships between Carbon Dioxide (CO2) emissions, renewable energy consumption, international trade, and economic growth in India in order to recommend policies that can help the nation attain carbon neutrality. Both the conventional Autoregressive Distributed Lag (ARDL) and the newly developed Quantile ARDL (QARDL) models are used in this study. The ARDL results unveil that 1% increase in renewable energy consumption contributes to 0.8% reduction in CO2 emissions, while economic growth boosts CO2 emissions in the long run. Besides, international trade deteriorates the environment by amplifying emissions only in the short run. The QARDL results reveal that economic growth positively and renewable energy consumption negatively affect CO2 emissions across all quantiles of CO2 emissions. In contrast, international trade is not found to exert any statistically significant effect on CO2 emissions. Lastly, the quantile-based causality analysis somewhat supports the regression findings by verifying causal associations between the variables of concern in India’s context. Thus, in light of these findings, several carbon neutrality-related policy insights are put forward.
{"title":"Can clean energy adoption and international trade contribute to the achievement of India’s 2070 carbon neutrality agenda? Evidence using quantile ARDL measures","authors":"Narasingha Das, Muntasir Murshed, Soumen Rej, A. Bandyopadhyay, M. Hossain, Haider Mahmood, Vishal Dagar, Pinki Bera","doi":"10.1080/13504509.2022.2139780","DOIUrl":"https://doi.org/10.1080/13504509.2022.2139780","url":null,"abstract":"ABSTRACT India is a major developing world economy that has predominantly been highly energy-intensive and fossil fuel dependent. Consequently, this South Asian nation has not been able to safeguard its environment from persistent degradation through the discharge of greenhouse gases. Accordingly, this study tries to reveal the relationships between Carbon Dioxide (CO2) emissions, renewable energy consumption, international trade, and economic growth in India in order to recommend policies that can help the nation attain carbon neutrality. Both the conventional Autoregressive Distributed Lag (ARDL) and the newly developed Quantile ARDL (QARDL) models are used in this study. The ARDL results unveil that 1% increase in renewable energy consumption contributes to 0.8% reduction in CO2 emissions, while economic growth boosts CO2 emissions in the long run. Besides, international trade deteriorates the environment by amplifying emissions only in the short run. The QARDL results reveal that economic growth positively and renewable energy consumption negatively affect CO2 emissions across all quantiles of CO2 emissions. In contrast, international trade is not found to exert any statistically significant effect on CO2 emissions. Lastly, the quantile-based causality analysis somewhat supports the regression findings by verifying causal associations between the variables of concern in India’s context. Thus, in light of these findings, several carbon neutrality-related policy insights are put forward.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"433 1","pages":"262 - 277"},"PeriodicalIF":5.6,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82878216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-10DOI: 10.1080/13504509.2022.2142691
A. Tasnuva, Q. Bari, A. Islam, G. Alam
ABSTRACT Bangladesh is one of the countries that is most likely to be affected by natural disasters and climate change. However, much less is known about the integrated livelihood and climate vulnerabilities of coastal communities to natural disasters in southwestern Bangladesh. Therefore, this paper proposes a holistic approach to measuring livelihood vulnerability in the southwestern coast of Bangladesh based on primary data from 300 respondents through face-to-face interviews, focus group discussion (FGD), and key informant interviews (KII), and secondary data on rainfall and temperature for the years 2010–2017. This study developed the livelihood vulnerability index (LVI), the climate vulnerability index (CVI), and the LVI-IPCC to estimate climate vulnerability by incorporating 36 indicators of 9 major components under three dimensions. The pragmatic results show that the three coastal unions have different LVI, CVI, and LVI-IPCC values. Still, the households of the Gabura union showed more vulnerability than the rest of the two, with the highest LVI, CVI, and LVI-IPCC values due to their inadequate access to fresh water, limited physical resources, fewest livelihood strategies, the least variety of crops, and worst health conditions. This logical approach may be applied in data-scarce regions to assess vulnerability and evaluate potential policy efficiency for baseline comparison. The study demonstrates that the requirement for focused interventions and context-specific sustainable policies and development approaches should be implemented to lessen the vulnerability of coastal dwellers. These findings have implications for developing and implementing household resilience and climate change adaptation projects by the government, donor organizations, and other pertinent groups in three susceptible unions.
{"title":"Livelihood and climate vulnerability of coastal communities to natural disaster in south-western Bangladesh","authors":"A. Tasnuva, Q. Bari, A. Islam, G. Alam","doi":"10.1080/13504509.2022.2142691","DOIUrl":"https://doi.org/10.1080/13504509.2022.2142691","url":null,"abstract":"ABSTRACT Bangladesh is one of the countries that is most likely to be affected by natural disasters and climate change. However, much less is known about the integrated livelihood and climate vulnerabilities of coastal communities to natural disasters in southwestern Bangladesh. Therefore, this paper proposes a holistic approach to measuring livelihood vulnerability in the southwestern coast of Bangladesh based on primary data from 300 respondents through face-to-face interviews, focus group discussion (FGD), and key informant interviews (KII), and secondary data on rainfall and temperature for the years 2010–2017. This study developed the livelihood vulnerability index (LVI), the climate vulnerability index (CVI), and the LVI-IPCC to estimate climate vulnerability by incorporating 36 indicators of 9 major components under three dimensions. The pragmatic results show that the three coastal unions have different LVI, CVI, and LVI-IPCC values. Still, the households of the Gabura union showed more vulnerability than the rest of the two, with the highest LVI, CVI, and LVI-IPCC values due to their inadequate access to fresh water, limited physical resources, fewest livelihood strategies, the least variety of crops, and worst health conditions. This logical approach may be applied in data-scarce regions to assess vulnerability and evaluate potential policy efficiency for baseline comparison. The study demonstrates that the requirement for focused interventions and context-specific sustainable policies and development approaches should be implemented to lessen the vulnerability of coastal dwellers. These findings have implications for developing and implementing household resilience and climate change adaptation projects by the government, donor organizations, and other pertinent groups in three susceptible unions.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"56 1","pages":"295 - 318"},"PeriodicalIF":5.6,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84843174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-10DOI: 10.1080/13504509.2022.2142316
Wanglin Ma, Hongyun Zheng, Emmanuel Donkor, Victor Owusu
ABSTRACT This study analyzes the impacts of off-farm work on the technical efficiency (TE) of wheat production, using data collected from 549 farming households in China. Unlike previous studies that only capture one dimension of off-farm work, in this study, we consider multiple dimensions, including off-farm work participation status of household heads, location choices (local or migrated off-farm work), and off-farm work intensity. We employ the stochastic frontier production model to estimate the TE of wheat production and a two-stage residual inclusion (2SRI) approach to address the endogeneity of the off-farm work variables. We find that: (1) household heads’ off-farm work participation significantly increases TE of wheat production; (2) local (rather than migrated) off-farm work participation significantly increases TE; (3) off-farm work intensity significantly increases TE when household heads work off the farm for more than 9 months. Additional analysis reveals that off-farm work participation of household heads, rather than other members, plays a significant role in improving the TE of wheat production.
{"title":"Off-farm work and technical efficiency of wheat production: An analysis accounting for multiple dimensions of off-farm work","authors":"Wanglin Ma, Hongyun Zheng, Emmanuel Donkor, Victor Owusu","doi":"10.1080/13504509.2022.2142316","DOIUrl":"https://doi.org/10.1080/13504509.2022.2142316","url":null,"abstract":"ABSTRACT This study analyzes the impacts of off-farm work on the technical efficiency (TE) of wheat production, using data collected from 549 farming households in China. Unlike previous studies that only capture one dimension of off-farm work, in this study, we consider multiple dimensions, including off-farm work participation status of household heads, location choices (local or migrated off-farm work), and off-farm work intensity. We employ the stochastic frontier production model to estimate the TE of wheat production and a two-stage residual inclusion (2SRI) approach to address the endogeneity of the off-farm work variables. We find that: (1) household heads’ off-farm work participation significantly increases TE of wheat production; (2) local (rather than migrated) off-farm work participation significantly increases TE; (3) off-farm work intensity significantly increases TE when household heads work off the farm for more than 9 months. Additional analysis reveals that off-farm work participation of household heads, rather than other members, plays a significant role in improving the TE of wheat production.","PeriodicalId":50287,"journal":{"name":"International Journal of Sustainable Development and World Ecology","volume":"2014 1","pages":"278 - 294"},"PeriodicalIF":5.6,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87936996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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