Faradina Zevaya, Muhamad Reski Ramadan, Putri Intan Suri, Rio Rio, Fajar Hadi Pratama
Jambi Province is a province on Sumatra Island with a land area of 5,016,005 hectares, of which 2,098,535 ha are forest areas. With the potential of existing resources, Jambi province's economic growth in the last ten years has been on a positive trend, but for the period 2006 to 2018, experienced significant land degradation which causes the shrinkage of the province natural forest areas. This research aims to analyze the relationship that occurs between variables of primary forest areas, income inequality, and economic growth in Jambi Province by using the vector autoregression method followed by stationarity test, optimum lag test, cointegration test, var stability test, variance decomposition, and granger causality test. Based on the causality of the three research variables, the Granger causality test results indicate that there is a unidirectional causality between income inequality that occurs in Jambi Province and the percentage of primary forest area in Jambi Province that is still available. In addition, the results of the VAR analysis show that based on the t-statistic value, income inequality in period eight significantly affected the percentage of primary forest area in Jambi Province in the following year. Besides that, based on the coefficient, income inequality negatively affected primary forest areas the following year in period eight. The results of the Decomposition Variant test predicted that in period 1, the primary forest area variable affected 99.98% of the primary forest area variable. Income inequality had an effect of 0.02% on primary forest areas, and economic growth in period one did not affect primary forest areas. Predictions for the 10th period show that the primary forest area affects 52.62% of the primary forest area, while 29.81% and 17.56% of the primary forest area in the 10th period are affected by income inequality and economic growth. The analysis above shows the critical role of primary forests in Jambi Province for the existing inequality and economic growth in Jambi Province. Deforestation and non-optimal primary forest management can have a negative impact on the value of income inequality in Jambi Province. Therefore, a policy framework on forestry in Jambi Province is needed that involves the development of plantation forests as an effort that could overcome the decrease in wood supply.
{"title":"Sustainability Analysis of Primary Forest Areas in The Perspective of Income and Gross Domestic Regional Product Inequality (Vector Autoregressive Approach)","authors":"Faradina Zevaya, Muhamad Reski Ramadan, Putri Intan Suri, Rio Rio, Fajar Hadi Pratama","doi":"10.36574/jpp.v7i1.369","DOIUrl":"https://doi.org/10.36574/jpp.v7i1.369","url":null,"abstract":"Jambi Province is a province on Sumatra Island with a land area of 5,016,005 hectares, of which 2,098,535 ha are forest areas. With the potential of existing resources, Jambi province's economic growth in the last ten years has been on a positive trend, but for the period 2006 to 2018, experienced significant land degradation which causes the shrinkage of the province natural forest areas. This research aims to analyze the relationship that occurs between variables of primary forest areas, income inequality, and economic growth in Jambi Province by using the vector autoregression method followed by stationarity test, optimum lag test, cointegration test, var stability test, variance decomposition, and granger causality test. Based on the causality of the three research variables, the Granger causality test results indicate that there is a unidirectional causality between income inequality that occurs in Jambi Province and the percentage of primary forest area in Jambi Province that is still available. In addition, the results of the VAR analysis show that based on the t-statistic value, income inequality in period eight significantly affected the percentage of primary forest area in Jambi Province in the following year. Besides that, based on the coefficient, income inequality negatively affected primary forest areas the following year in period eight. The results of the Decomposition Variant test predicted that in period 1, the primary forest area variable affected 99.98% of the primary forest area variable. Income inequality had an effect of 0.02% on primary forest areas, and economic growth in period one did not affect primary forest areas. Predictions for the 10th period show that the primary forest area affects 52.62% of the primary forest area, while 29.81% and 17.56% of the primary forest area in the 10th period are affected by income inequality and economic growth. The analysis above shows the critical role of primary forests in Jambi Province for the existing inequality and economic growth in Jambi Province. Deforestation and non-optimal primary forest management can have a negative impact on the value of income inequality in Jambi Province. Therefore, a policy framework on forestry in Jambi Province is needed that involves the development of plantation forests as an effort that could overcome the decrease in wood supply.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116369136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angga Wijaya Holman Fasa, Mahardhika Berliandaldo, Raditya Raditya, M. Rosyidi
The tourism and travel sector has contributed significantly to Indonesia’s economic growth and robust development. Despite its positive impact, tourism and travel business activities also potentially impact environmental loss. In order to reduce these negative impacts, the new concept of tourism, namely low-carbon tourism, which focuses on environmental sustainability, can be implemented as the enabler. One of the factors that can support the implementation is the existence of environmentally friendly technology that requires a technology transfer process. This paper aims to overview the role and implication of technology transfer for enabling low-carbon tourism in Indonesia and outlining a conceptual framework for addressing the political (P), economic (E), social (S), technological (T), environmental (E), and legal (L) factors that constrain and support in enabling low-carbon tourism through technology transfer in Indonesia. A qualitative library research method and PESTEL analysis were employed to analyze and map the implications of external factors influencing the development of low-carbon tourism through technology transfer in Indonesia. The paper denotes that all the factors (political, economic, social, technological, environmental, and legal) were interrelated. Nevertheless, the economic factor was the only one with a moderate policy to encourage businesses to use green practices, particularly for the carbon tax policy. Consequently, there was still an opportunity for monetary policy to promote low-carbon tourism.
{"title":"Enabling Low-Carbon Tourism Through Technology Transfer in Indonesia: A PESTEL Analysis","authors":"Angga Wijaya Holman Fasa, Mahardhika Berliandaldo, Raditya Raditya, M. Rosyidi","doi":"10.36574/jpp.v7i1.362","DOIUrl":"https://doi.org/10.36574/jpp.v7i1.362","url":null,"abstract":"The tourism and travel sector has contributed significantly to Indonesia’s economic growth and robust development. Despite its positive impact, tourism and travel business activities also potentially impact environmental loss. In order to reduce these negative impacts, the new concept of tourism, namely low-carbon tourism, which focuses on environmental sustainability, can be implemented as the enabler. One of the factors that can support the implementation is the existence of environmentally friendly technology that requires a technology transfer process. This paper aims to overview the role and implication of technology transfer for enabling low-carbon tourism in Indonesia and outlining a conceptual framework for addressing the political (P), economic (E), social (S), technological (T), environmental (E), and legal (L) factors that constrain and support in enabling low-carbon tourism through technology transfer in Indonesia. A qualitative library research method and PESTEL analysis were employed to analyze and map the implications of external factors influencing the development of low-carbon tourism through technology transfer in Indonesia. The paper denotes that all the factors (political, economic, social, technological, environmental, and legal) were interrelated. Nevertheless, the economic factor was the only one with a moderate policy to encourage businesses to use green practices, particularly for the carbon tax policy. Consequently, there was still an opportunity for monetary policy to promote low-carbon tourism.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133041738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Educational subsidies are increasing school attendance, but the impact on the child’s working participation is vague. After running for five years, the government of Indonesia changed the regulation of Bantuan Operasional Sekolah (the BOS program or school operational assistance) to eliminate school fees for all elementary and junior secondary schools in 2009. This study intends to estimate the impact of hours of school attendance on children working using the 2009 regulation BOS program as an instrument. The estimation uses data from the fourth and fifth Indonesia Family Life Survey (IFLS) with Fuzzy Regression Discontinuity Design (FRDD) as methodology. The result presents that the children who benefited from the 2009 regulation BOS program spent more hours attending school than non-beneficiaries. However, the increase in school attendance is increasing the time allocation for income-generating and household work, supporting the idea that working and schooling are not perfectly substitutable.
教育补贴提高了入学率，但对儿童工作参与率的影响是模糊的。在运行了五年之后，印尼政府于2009年修改了Bantuan operational Sekolah (BOS项目或学校运营援助)的规定，取消了所有小学和初中的学费。本研究拟以2009年规定的BOS计划为工具，评估上学时数对儿童工作的影响。该估计使用了第四和第五次印度尼西亚家庭生活调查(IFLS)的数据，采用模糊回归不连续设计(FRDD)作为方法。结果表明，受益于2009年监管BOS计划的儿童比未受益的儿童上学时间更长。然而，上学人数的增加增加了用于创收和家务劳动的时间分配，这支持了工作和上学并不是完全可以替代的观点。
{"title":"The Impact of School Attendance on Child Working: Case from Indonesian School Operational Assistance","authors":"Karnia Nur Aniza","doi":"10.36574/jpp.v7i1.408","DOIUrl":"https://doi.org/10.36574/jpp.v7i1.408","url":null,"abstract":"Educational subsidies are increasing school attendance, but the impact on the child’s working participation is vague. After running for five years, the government of Indonesia changed the regulation of Bantuan Operasional Sekolah (the BOS program or school operational assistance) to eliminate school fees for all elementary and junior secondary schools in 2009. This study intends to estimate the impact of hours of school attendance on children working using the 2009 regulation BOS program as an instrument. The estimation uses data from the fourth and fifth Indonesia Family Life Survey (IFLS) with Fuzzy Regression Discontinuity Design (FRDD) as methodology. The result presents that the children who benefited from the 2009 regulation BOS program spent more hours attending school than non-beneficiaries. However, the increase in school attendance is increasing the time allocation for income-generating and household work, supporting the idea that working and schooling are not perfectly substitutable.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125027334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research examined the inequality that emerges as Indonesia's economy shifts from an agricultural to a non-agricultural sector at the subnational level. These research questions include: (1) How has the agricultural sector in the Indonesian provinces changed over the past two decades? (2) What was the widespread impact of several socioeconomic variables on the transformation of agriculture? (3) How has the agricultural sub-sector responded to the dynamics of these socioeconomic factors over the last decade? The scope of the analysis was the whole province of Indonesia, with time series between 2001-2018. The shift in agriculture at the provincial level was mapped using indicators of poverty and the sector's economic contribution to each province. The logistic regression method was used to see the impact of socioeconomic factors on the agricultural transformation. In contrast, the panel regression was applied to respond to the dynamics of the agricultural sub-sector in terms of socioeconomics in the last ten years. According to the findings of agricultural transformation mapping, there were no changes in the distribution of rural poverty or the agricultural contribution factors between the provinces. Several macroeconomic, social, and infrastructure development factors also significantly contributed to encouraging agricultural transformation and enhancing the added value of the agricultural sector as a whole. It was important to better efficiently utilize the economic potential, which was done by taking production efficiency into account. Furthermore, consumer behaviour and the level of worker productivity had to be considered in attempts to boost economic productivity.
{"title":"Indonesia Agricultural Transformation: How Far? Where Would It Go?","authors":"M. Abduh","doi":"10.36574/jpp.v7i1.366","DOIUrl":"https://doi.org/10.36574/jpp.v7i1.366","url":null,"abstract":"This research examined the inequality that emerges as Indonesia's economy shifts from an agricultural to a non-agricultural sector at the subnational level. These research questions include: (1) How has the agricultural sector in the Indonesian provinces changed over the past two decades? (2) What was the widespread impact of several socioeconomic variables on the transformation of agriculture? (3) How has the agricultural sub-sector responded to the dynamics of these socioeconomic factors over the last decade? The scope of the analysis was the whole province of Indonesia, with time series between 2001-2018. The shift in agriculture at the provincial level was mapped using indicators of poverty and the sector's economic contribution to each province. The logistic regression method was used to see the impact of socioeconomic factors on the agricultural transformation. In contrast, the panel regression was applied to respond to the dynamics of the agricultural sub-sector in terms of socioeconomics in the last ten years. According to the findings of agricultural transformation mapping, there were no changes in the distribution of rural poverty or the agricultural contribution factors between the provinces. Several macroeconomic, social, and infrastructure development factors also significantly contributed to encouraging agricultural transformation and enhancing the added value of the agricultural sector as a whole. It was important to better efficiently utilize the economic potential, which was done by taking production efficiency into account. Furthermore, consumer behaviour and the level of worker productivity had to be considered in attempts to boost economic productivity.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133336116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study compares two major types of contracts in public procurement, i.e. unit price and lump sum contracts, in terms of the gap between the winner's bid price and owner’s estimated price (OEP) in resulted price gap during the tender process, taking the case of government procurement in Indonesia. Using Indonesian e-tendering data of 2018-2021, this study employs an Ordinary Least Square regression to assess whether there is a difference in the price gap between the two types of contracts. This study finds that the average price gap in unit price contract is significantly higher than that of lump sum contracts. With the help of the transaction cost economics approach, this study discussed that the higher average price gap in unit price contracts is related to a lower information cost and lower risk of having a change order for the contract faced by the bidders. While in a lump sum contract, the winner's bid price is closer to OEP because bidders are faced with design risks that require higher information costs and contract adaptation during the execution phase. The study also found that the use of a unit price contract is significantly related to a longer tendering time due to a longer period in evaluating the bid.
{"title":"Price Gap Comparison in Unit Price and Lump Sum Contracts: A Transaction Cost Economic Approach","authors":"Linda Mikowati, Yohanna M. L. Gultom","doi":"10.36574/jpp.v7i1.443","DOIUrl":"https://doi.org/10.36574/jpp.v7i1.443","url":null,"abstract":"This study compares two major types of contracts in public procurement, i.e. unit price and lump sum contracts, in terms of the gap between the winner's bid price and owner’s estimated price (OEP) in resulted price gap during the tender process, taking the case of government procurement in Indonesia. Using Indonesian e-tendering data of 2018-2021, this study employs an Ordinary Least Square regression to assess whether there is a difference in the price gap between the two types of contracts. This study finds that the average price gap in unit price contract is significantly higher than that of lump sum contracts. With the help of the transaction cost economics approach, this study discussed that the higher average price gap in unit price contracts is related to a lower information cost and lower risk of having a change order for the contract faced by the bidders. While in a lump sum contract, the winner's bid price is closer to OEP because bidders are faced with design risks that require higher information costs and contract adaptation during the execution phase. The study also found that the use of a unit price contract is significantly related to a longer tendering time due to a longer period in evaluating the bid.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129548686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The proliferation of mobile phones in developing countries has significant implications for those countries. Although numerous studies have examined the various advantages of mobile phone use, the relationship between mobile phone access and the economic welfare of households has received comparatively little attention. This paper examines the effects of mobile phone on household expenditures in 2007 and 2014 utilising the Indonesian Family Life Survey (IFLS) combined with Potential Village Survey (PODES). Ordinary Least Square (OLS), Endogenous Treatment Regression (ETR), quantile regression, and two-way fixed effect estimations are used to identify the homogeneous and heterogeneous effects of mobile phone use. According to the estimated results, mobile phone access and signal quality significantly increases household expenditure. According to the results of quantile regression, mobile phone access has the greatest effect on the upper expenditure distributions. It is highlighting the importance of promoting a policy that increases mobile phone and the supporting infrastructure on the lower expenditure distributions.
{"title":"Household Economic Welfare During the Rise of Mobile Phone Expansion in Indonesia","authors":"Catra Evan Ramadhani","doi":"10.36574/jpp.v7i1.407","DOIUrl":"https://doi.org/10.36574/jpp.v7i1.407","url":null,"abstract":"The proliferation of mobile phones in developing countries has significant implications for those countries. Although numerous studies have examined the various advantages of mobile phone use, the relationship between mobile phone access and the economic welfare of households has received comparatively little attention. This paper examines the effects of mobile phone on household expenditures in 2007 and 2014 utilising the Indonesian Family Life Survey (IFLS) combined with Potential Village Survey (PODES). Ordinary Least Square (OLS), Endogenous Treatment Regression (ETR), quantile regression, and two-way fixed effect estimations are used to identify the homogeneous and heterogeneous effects of mobile phone use. According to the estimated results, mobile phone access and signal quality significantly increases household expenditure. According to the results of quantile regression, mobile phone access has the greatest effect on the upper expenditure distributions. It is highlighting the importance of promoting a policy that increases mobile phone and the supporting infrastructure on the lower expenditure distributions.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130162268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Indonesian economy has improved with the manufacturing sector as its primary growth driver. However, along with this development, the country inevitably faces environmental issues such as increased carbon emissions. Based on the firm-level dataset from the Indonesian large and medium manufacturing sector, this paper investigates the main factors related to the CO2 emission intensity of manufacturing firms. The emission carbon data is obtained by calculating the fuel consumption of plants converted into carbon dioxide emissions using emission factors. The result shows that the trend of carbon emission had increased, but the carbon emission intensity had improved. Performing panel data framework, this study uses OLS, 2SLS, and fixed effect model in analyzing the determinants of CO2 intensity. The result of the FE regression suggests that larger firms are emission efficient compared to small-sized firms. Similarly, capital- and labor-intensive firms are less carbon-intensive. Furthermore, firms that spend more on maintenance have emitted more, perhaps due to the adoption of high maintenance equipment by emission-intensive firms requiring more expenses.
{"title":"Detertminants of CO2 Emission Intensity: Manufacturing Firm-Level Evidence in Indonesia","authors":"Melisa Constantia","doi":"10.36574/jpp.v6i3.296","DOIUrl":"https://doi.org/10.36574/jpp.v6i3.296","url":null,"abstract":"The Indonesian economy has improved with the manufacturing sector as its primary growth driver. However, along with this development, the country inevitably faces environmental issues such as increased carbon emissions. Based on the firm-level dataset from the Indonesian large and medium manufacturing sector, this paper investigates the main factors related to the CO2 emission intensity of manufacturing firms. The emission carbon data is obtained by calculating the fuel consumption of plants converted into carbon dioxide emissions using emission factors. The result shows that the trend of carbon emission had increased, but the carbon emission intensity had improved. Performing panel data framework, this study uses OLS, 2SLS, and fixed effect model in analyzing the determinants of CO2 intensity. The result of the FE regression suggests that larger firms are emission efficient compared to small-sized firms. Similarly, capital- and labor-intensive firms are less carbon-intensive. Furthermore, firms that spend more on maintenance have emitted more, perhaps due to the adoption of high maintenance equipment by emission-intensive firms requiring more expenses.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115228587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhyiddin Muhyiddin, R. Parmawati, M. Qomaruddin, Fadillah Putra, A. Sanusi
The Covid-19 Pandemic has hit several countries in the world, including Indonesia. Some of those affected were the industrial world, which resulted in layoffs. In principle, the Pre-Employment Card is a bridge that connects the community with various kinds of new skills training. In addition, the Government also hopes to create a more capable and empowered society to simultaneously reduce excessive dependence on others. This research uses a mixed-method approach and explores the implementation process of the Pre-Employment Card program. The conclusion of this study directs that the pre-employment card program is a policy issued by the Government in the midst of the Covid-19 Pandemic as a social safety net and to train and improve the competence of the workforce to face the demographic bonus in 2030. Socialization carried out by the agency is only through the media social Instagram. In addition, the interaction that occurs in the account is very minimal, so the socialization carried out on social media can be said to be very minimal and less effective.
{"title":"Design and Strategy for Welfare-to-Work Policy Implementation in Indonesia: Study on Multiple Activation, Strategy for Strengthening Service Provider Capacity and Response of Affected Groups of Pre-Employment Card (Kartu Prakerja) Program","authors":"Muhyiddin Muhyiddin, R. Parmawati, M. Qomaruddin, Fadillah Putra, A. Sanusi","doi":"10.36574/jpp.v6i3.350","DOIUrl":"https://doi.org/10.36574/jpp.v6i3.350","url":null,"abstract":"The Covid-19 Pandemic has hit several countries in the world, including Indonesia. Some of those affected were the industrial world, which resulted in layoffs. In principle, the Pre-Employment Card is a bridge that connects the community with various kinds of new skills training. In addition, the Government also hopes to create a more capable and empowered society to simultaneously reduce excessive dependence on others. This research uses a mixed-method approach and explores the implementation process of the Pre-Employment Card program. The conclusion of this study directs that the pre-employment card program is a policy issued by the Government in the midst of the Covid-19 Pandemic as a social safety net and to train and improve the competence of the workforce to face the demographic bonus in 2030. Socialization carried out by the agency is only through the media social Instagram. In addition, the interaction that occurs in the account is very minimal, so the socialization carried out on social media can be said to be very minimal and less effective.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121574567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ahsan, P. B. Ali, K. Rahmayanti, Renova Glorya Montesori Siahaan, Nadira Amalia
Tobacco control for public health improvement has been mandated as a part of the Indonesian National Medium-Term Development Plan (RPJMN) 2020 – 2024, as Indonesia currently sits among the countries with the highest smoking prevalence. On the other hand, Indonesia's position as one of the largest tobacco producers requires proper mitigation strategies for specific communities directly exposed to the tobacco industry. Hence, solid and adequate intra-sectoral collaboration strategies need to be identified. A formal intra-sectoral collaboration creates a win-win solution for both public health and economic sectors, as witnessed by other countries with appropriate government collaboration formulation. This study aims to identify a suitable collaborative governance model for providing mitigation strategies for tobacco farmers and tobacco industry workers. This research investigates the feasibility and environment scanning through a qualitative approach. The data collection was conducted through four series of semi-structured focused group discussions with key policymakers, complemented with secondary data analysis. The Task Force model is the most suitable mitigation initiative for tobacco farmers and cigarette industry workers. It is also more manageable in terms of regulation since it needs minimum regulatory requirements. The task force model also enables more substantial synergies between the central and local governments. However, strong coordination, between-sectoral sentiments, and the need for strong political will remain challenges for the task force implementation.
{"title":"Mitigation Task Force for Farmer and Worker in Indonesia: A Collaborative Governance Approach in Tobacco Control","authors":"A. Ahsan, P. B. Ali, K. Rahmayanti, Renova Glorya Montesori Siahaan, Nadira Amalia","doi":"10.36574/jpp.v6i3.287","DOIUrl":"https://doi.org/10.36574/jpp.v6i3.287","url":null,"abstract":"Tobacco control for public health improvement has been mandated as a part of the Indonesian National Medium-Term Development Plan (RPJMN) 2020 – 2024, as Indonesia currently sits among the countries with the highest smoking prevalence. On the other hand, Indonesia's position as one of the largest tobacco producers requires proper mitigation strategies for specific communities directly exposed to the tobacco industry. Hence, solid and adequate intra-sectoral collaboration strategies need to be identified. A formal intra-sectoral collaboration creates a win-win solution for both public health and economic sectors, as witnessed by other countries with appropriate government collaboration formulation. This study aims to identify a suitable collaborative governance model for providing mitigation strategies for tobacco farmers and tobacco industry workers. This research investigates the feasibility and environment scanning through a qualitative approach. The data collection was conducted through four series of semi-structured focused group discussions with key policymakers, complemented with secondary data analysis. The Task Force model is the most suitable mitigation initiative for tobacco farmers and cigarette industry workers. It is also more manageable in terms of regulation since it needs minimum regulatory requirements. The task force model also enables more substantial synergies between the central and local governments. However, strong coordination, between-sectoral sentiments, and the need for strong political will remain challenges for the task force implementation.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to contribute to the literature on economic density by finding empirical evidence on whether the effects of density are going higher to affect the crime rate at the district level from 2007-2018 with 440 districts. This study used crime rate as a dependent variable and population density as an independent variable also had average age, married, the proportion of divorce, the proportion of gender, and the proportion of urban as relevant variable control. Density appears to have a small effect on crime rates. The regression result using a fixed effect panel concluded the economic density has a negative association with the probability of becoming a victim of crime. Density positively impacts the environment in terms of crime prevention. The denser an area is correlated, the lower the number of victims of crimes.
{"title":"The Effect of Density on Crime: Evidence from Indonesia","authors":"Grasia Veranita, M. Yudhistira","doi":"10.36574/jpp.v6i3.342","DOIUrl":"https://doi.org/10.36574/jpp.v6i3.342","url":null,"abstract":"This study aims to contribute to the literature on economic density by finding empirical evidence on whether the effects of density are going higher to affect the crime rate at the district level from 2007-2018 with 440 districts. This study used crime rate as a dependent variable and population density as an independent variable also had average age, married, the proportion of divorce, the proportion of gender, and the proportion of urban as relevant variable control. Density appears to have a small effect on crime rates. The regression result using a fixed effect panel concluded the economic density has a negative association with the probability of becoming a victim of crime. Density positively impacts the environment in terms of crime prevention. The denser an area is correlated, the lower the number of victims of crimes.","PeriodicalId":209567,"journal":{"name":"Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：